From 049fbebc8ad9742266ce6e9d6fa2fa7a20fe2938 Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Mon, 15 Sep 2025 23:19:19 +0300 Subject: [PATCH 01/29] docs: add PR template --- .github/pull_request_template.md | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) create mode 100644 .github/pull_request_template.md diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md new file mode 100644 index 00000000..63d53ecb --- /dev/null +++ b/.github/pull_request_template.md @@ -0,0 +1,17 @@ +## Goal + +In short: why this PR? + +## Changes + +What and why are we changing? + +## Testing + +How we checked: steps/logic + +### Checklist + +- [ ] PR has a clear, specific title +- [ ] Updated README as needed +- [ ] No secrets and junk/large temporary files From 8b4f42bda74e42f5928289f8fd04de26c9fb0861 Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Mon, 15 Sep 2025 23:21:00 +0300 Subject: [PATCH 02/29] docs: add commit signing summary --- labs/submission1.md | 1 + 1 file changed, 1 insertion(+) create mode 100644 labs/submission1.md diff --git a/labs/submission1.md b/labs/submission1.md new file mode 100644 index 00000000..d4ffd66d --- /dev/null +++ b/labs/submission1.md @@ -0,0 +1 @@ +Signed commits help to verify that the changes were made by the developer and not someone else. This protects the project from code substitution and increases trust within the team. On GitHub, such commits are marked as Verified, and anyone can verify their authenticity. You can use SSH or GPG keys for signing, SSH is most often used, as it is easier to set up. From cbeca4e903147ce87d7375eaa0f893b7ab0a41d3 Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Wed, 17 Sep 2025 00:02:23 +0300 Subject: [PATCH 03/29] feat: add test file for object exploration --- test-object.txt | 1 + 1 file changed, 1 insertion(+) create mode 100644 test-object.txt diff --git a/test-object.txt b/test-object.txt new file mode 100644 index 00000000..0c0ba2bc --- /dev/null +++ b/test-object.txt @@ -0,0 +1 @@ +This is a test file for Git object exploration From 3dba6e3ebdfabb1edae18603ad25e5444a8ebbad Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Wed, 17 Sep 2025 00:02:31 +0300 Subject: [PATCH 04/29] feat: update test file content --- test-object.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/test-object.txt b/test-object.txt index 0c0ba2bc..0ebbb9ac 100644 --- a/test-object.txt +++ b/test-object.txt @@ -1 +1,2 @@ This is a test file for Git object exploration +Additional content for object demo From 2bf6c87a94008328625172c1763b6d4d879b0c8a Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Wed, 17 Sep 2025 00:04:58 +0300 Subject: [PATCH 05/29] feat: prepare for v1.1.0 release --- test-object.txt | 1 + 1 file changed, 1 insertion(+) diff --git a/test-object.txt b/test-object.txt index 0ebbb9ac..00298dd1 100644 --- a/test-object.txt +++ b/test-object.txt @@ -1,2 +1,3 @@ This is a test file for Git object exploration Additional content for object demo +Additional content for v1.1.0 From a4a7b19714f39f30683198732d8ef4a9f00f6e24 Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Wed, 17 Sep 2025 00:07:53 +0300 Subject: [PATCH 06/29] docs: add lab2 submission --- labs/submission2.md | 284 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 284 insertions(+) create mode 100644 labs/submission2.md diff --git a/labs/submission2.md b/labs/submission2.md new file mode 100644 index 00000000..d7b755f0 --- /dev/null +++ b/labs/submission2.md @@ -0,0 +1,284 @@ +# Lab 2 Submission - Version Control & Advanced Git + +## Task 1 — Git Object Model Exploration (2 pts) + +### Commands and Outputs + +**Commit Object (3dba6e3ebdfabb1edae18603ad25e5444a8ebbad):** +```bash +$ git cat-file -p HEAD +tree a786f2b5ea04cec24ab6b9ed1c10d7221a9e7257 +parent cbeca4e903147ce87d7375eaa0f893b7ab0a41d3 +author Arthur Babkin 1758056551 +0300 +committer Arthur Babkin 1758056551 +0300 +gpgsig -----BEGIN SSH SIGNATURE----- + U1NIU0lHAAAAAQAAADMAAAALc3NoLWVkMjU1MTkAAAAgdUHUC3uAyyiAFr7GXLGXFjh6Oe + 2WDoAI1y3blWwXGdoAAAADZ2l0AAAAAAAAAAZzaGE1MTIAAABTAAAAC3NzaC1lZDI1NTE5 + AAAAQKoexSYikpZXR7GKKnR31PybxEwrlIJf4yHrT28C1CvSYWWy1bZ7yf7R3R0mEmNnur + DNjD23vnGLm3IvoAexNAg= + -----END SSH SIGNATURE----- + +feat: update test file content +``` + +**Tree Object (a786f2b5ea04cec24ab6b9ed1c10d7221a9e7257):** +```bash +$ git cat-file -p HEAD^{tree} +040000 tree 6c09998f23b0b1ce80cc196191ad447c1353f7a2 .github +100644 blob 4db373667a50f14a411bb5c7e879690fd08aacc1 README.md +040000 tree cb1959162a7ad6f2263ccf0136246e3f36a8f5cf labs +040000 tree 2f0387f9eebb6ad846cd02dbd1e7a4a151c06a7e lectures +100644 blob 0ebbb9ac9f7f5ded65759de45964daece16c5645 test-object.txt +``` + +**Blob Object (0ebbb9ac9f7f5ded65759de45964daece16c5645):** +```bash +$ git cat-file -p 0ebbb9ac9f7f5ded65759de45964daece16c5645 +This is a test file for Git object exploration +Additional content for object demo +``` + +### Explanation + +- **Commit objects** store metadata about a snapshot including tree hash, parent commit(s), author/committer info, timestamps, and commit message. +- **Tree objects** represent directory structures, containing references to blobs (files) and other trees (subdirectories) with their permissions and names. +- **Blob objects** store the actual file content as binary data, identified by the SHA-1 hash of their content. + +## Task 2 — Reset and Reflog Recovery (3 pts) + +### Commands and Process + +**Initial Setup:** +```bash +$ git switch -c git-reset-practice +$ echo "First commit" > file.txt && git add file.txt && git commit -m "First commit" +$ echo "Second commit" >> file.txt && git add file.txt && git commit -m "Second commit" +$ echo "Third commit" >> file.txt && git add file.txt && git commit -m "Third commit" +``` + +**Initial State:** +```bash +$ git log --oneline -3 +d8d9f7e (HEAD -> git-reset-practice) Third commit +3b47be4 Second commit +0983940 First commit + +$ cat file.txt +First commit +Second commit +Third commit +``` + +**Soft Reset (--soft HEAD~1):** +```bash +$ git reset --soft HEAD~1 +$ git status +On branch git-reset-practice +Changes to be committed: + (use "git restore --staged ..." to unstage) + modified: file.txt + +$ cat file.txt +First commit +Second commit +Third commit +``` + +**Hard Reset (--hard HEAD~1):** +```bash +$ git reset --hard HEAD~1 +HEAD is now at 0983940 First commit + +$ git status +On branch git-reset-practice +nothing to commit, working tree clean + +$ cat file.txt +First commit +``` + +**Using Reflog for Recovery:** +```bash +$ git reflog +0983940 (HEAD -> git-reset-practice) HEAD@{0}: reset: moving to HEAD~1 +3b47be4 HEAD@{1}: reset: moving to HEAD~1 +d8d9f7e HEAD@{2}: commit: Third commit +3b47be4 HEAD@{3}: commit: Second commit +0983940 (HEAD -> git-reset-practice) HEAD@{4}: commit: First commit + +$ git reset --hard d8d9f7e +HEAD is now at d8d9f7e Third commit + +$ cat file.txt +First commit +Second commit +Third commit +``` + +### Explanation + +- **--soft reset**: Moves HEAD pointer but keeps the index (staging area) and working tree unchanged. The "Third commit" changes remained staged. +- **--hard reset**: Moves HEAD, resets index, and discards working tree changes completely. All traces of "Second commit" and "Third commit" were lost from the working directory. +- **git reflog**: Shows the history of HEAD movements, allowing recovery of seemingly "lost" commits by their hash, even after hard reset operations. + +## Task 3 — Visualize Commit History (2 pts) + +### Commands and Process + +**Creating a side branch:** +```bash +$ git switch -c side-branch +$ echo "Branch commit content" > history.txt +$ git add history.txt && git commit -m "Side branch commit" +$ git switch - +``` + +**Visualizing with graph:** +```bash +$ git log --oneline --graph --all +* 49134d9 (side-branch) Side branch commit +| * d8d9f7e (git-reset-practice) Third commit +| * 3b47be4 Second commit +| * 0983940 First commit +|/ +* 3dba6e3 (HEAD -> feature/lab2) feat: update test file content +* cbeca4e feat: add test file for object exploration +* 8b4f42b (main) docs: add commit signing summary +* 049fbeb (origin/main, origin/HEAD) docs: add PR template +| * 336529e (origin/feature/lab1, feature/lab1) docs: add commit signing summary +|/ +* 82d1989 feat: publish lab3 and lec3 +* 3f80c83 feat: publish lec2 +* 499f2ba feat: publish lab2 +* af0da89 feat: update lab1 +* 74a8c27 Publish lab1 +* f0485c0 Publish lec1 +* 31dd11b Publish README.md +``` + +**Commit Messages List:** +- 49134d9: Side branch commit +- d8d9f7e: Third commit +- 3b47be4: Second commit +- 0983940: First commit +- 3dba6e3: feat: update test file content +- cbeca4e: feat: add test file for object exploration +- 8b4f42b: docs: add commit signing summary +- 049fbeb: docs: add PR template + +### Reflection + +The graph visualization clearly shows the branching structure and relationships between commits. The asterisks (*) represent commits, vertical lines (|) show branch continuity, and the forward slashes (/) indicate where branches diverge or merge, making it easy to understand the development flow and identify parallel work streams. + +## Task 4 — Tagging Commits (1 pt) + +### Commands and Process + +**Creating and pushing tags:** +```bash +$ git tag v1.0.0 +$ git push origin v1.0.0 + +$ echo "Additional content for v1.1.0" >> test-object.txt +$ git add test-object.txt && git commit -m "feat: prepare for v1.1.0 release" +$ git tag v1.1.0 +$ git push origin v1.1.0 +``` + +**Verifying tags:** +```bash +$ git tag -l +v1.0.0 +v1.1.0 + +$ git show v1.0.0 --no-patch --format="Tag: %D, Commit: %H" +Tag: tag: v1.0.0, Commit: 3dba6e3ebdfabb1edae18603ad25e5444a8ebbad + +$ git show v1.1.0 --no-patch --format="Tag: %D, Commit: %H" +Tag: HEAD -> feature/lab2, tag: v1.1.0, Commit: 2bf6c87a94008328625172c1763b6d4d879b0c8a +``` + +### Tag Information + +- **v1.0.0**: Associated with commit `3dba6e3ebdfabb1edae18603ad25e5444a8ebbad` +- **v1.1.0**: Associated with commit `2bf6c87a94008328625172c1763b6d4d879b0c8a` + +### Importance of Tags + +Tags are crucial for versioning and release management, providing immutable references to specific commits that trigger CI/CD pipelines, enable rollbacks, and facilitate release notes generation for production deployments. + +## Task 5 — git switch vs git checkout vs git restore (2 pts) + +### Commands and Process + +**Branch switching with git switch (modern):** +```bash +$ git switch -c cmd-compare +Switched to a new branch 'cmd-compare' + +$ git status +On branch cmd-compare +Untracked files: + (use "git add ..." to include in what will be committed) + labs/submission2.md +nothing added to commit but untracked files present (use "git add" to track) + +$ git switch - +Switched to branch 'feature/lab2' + +$ git branch + cmd-compare +* feature/lab2 + git-reset-practice + main + side-branch +``` + +**Legacy git checkout (overloaded):** +```bash +$ git checkout -b cmd-compare-2 +Switched to a new branch 'cmd-compare-2' +``` + +**File restoration with git restore (modern):** +```bash +$ echo "scratch content" >> demo.txt +$ git add demo.txt && git commit -m "Add demo file" +$ echo "modified content" >> demo.txt +$ git status +On branch cmd-compare-2 +Changes not staged for commit: + (use "git add ..." to update what will be committed) + (use "git restore ..." to discard changes in working directory) + modified: demo.txt + +$ git restore demo.txt # Discard working tree changes +$ cat demo.txt +scratch content + +# Demonstrating --staged option +$ echo "new changes" >> demo.txt +$ git add demo.txt +$ git status +On branch cmd-compare-2 +Changes to be committed: + (use "git restore --staged ..." to unstage) + modified: demo.txt + +$ git restore --staged demo.txt # Unstage while keeping working tree +$ git status +On branch cmd-compare-2 +Changes not staged for commit: + (use "git add ..." to update what will be committed) + (use "git restore ..." to discard changes in working directory) + modified: demo.txt +``` + +### Summary of Differences + +**git switch**: Modern, dedicated command for branch operations - creating, switching, and toggling between branches. Clearer intent than the overloaded checkout. + +**git checkout**: Legacy command that handles both branch switching AND file restoration, making it confusing. Still works but less explicit about intent. + +**git restore**: Modern, explicit command for file operations - discarding working tree changes, unstaging files, or restoring from specific commits. Replaces the confusing `git checkout -- ` syntax with clear options like `--staged` and `--source`. + From d63b6e000be6f32a00cd333860fc170ab490efe8 Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Wed, 17 Sep 2025 00:11:39 +0300 Subject: [PATCH 07/29] chore: clean up temporary files --- .DS_Store | Bin 0 -> 6148 bytes test-object.txt | 3 --- 2 files changed, 3 deletions(-) create mode 100644 .DS_Store delete mode 100644 test-object.txt diff --git a/.DS_Store b/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..5e90802f1b8efcb9f46cd850c27ae880b8c9e14a GIT binary patch literal 6148 zcmeH~K?=e^3`G;|LU7Zi%h`AUZ!n0SpchaP+>{E6uIK3fWP)IIEh0aV{7Gg)>05Lf z5z+PSxDshaWCk~trG=3x@xC+1b{XuyJ79K1T}(S!u1*@b}wNMJ-@TJzTK|1JE}{6A`8N&+PC zX9Tp_belC^D(=>|*R%RAs Date: Mon, 15 Sep 2025 23:19:19 +0300 Subject: [PATCH 08/29] docs: add PR template --- .github/pull_request_template.md | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) create mode 100644 .github/pull_request_template.md diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md new file mode 100644 index 00000000..63d53ecb --- /dev/null +++ b/.github/pull_request_template.md @@ -0,0 +1,17 @@ +## Goal + +In short: why this PR? + +## Changes + +What and why are we changing? + +## Testing + +How we checked: steps/logic + +### Checklist + +- [ ] PR has a clear, specific title +- [ ] Updated README as needed +- [ ] No secrets and junk/large temporary files From d3c430d61d48f3bb1ae2b1526bb16253f0af918e Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Mon, 15 Sep 2025 23:21:00 +0300 Subject: [PATCH 09/29] docs: add commit signing summary --- labs/submission1.md | 1 + 1 file changed, 1 insertion(+) create mode 100644 labs/submission1.md diff --git a/labs/submission1.md b/labs/submission1.md new file mode 100644 index 00000000..d4ffd66d --- /dev/null +++ b/labs/submission1.md @@ -0,0 +1 @@ +Signed commits help to verify that the changes were made by the developer and not someone else. This protects the project from code substitution and increases trust within the team. On GitHub, such commits are marked as Verified, and anyone can verify their authenticity. You can use SSH or GPG keys for signing, SSH is most often used, as it is easier to set up. From 35fcc8fc42ff88196122bcf49a05878ca8a3346a Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Tue, 7 Oct 2025 23:35:30 +0300 Subject: [PATCH 10/29] feat: add GitHub Actions workflow for demo --- .github/workflows/github-actions-demo.yml | 30 +++++++++++++++++++++++ 1 file changed, 30 insertions(+) create mode 100644 .github/workflows/github-actions-demo.yml diff --git a/.github/workflows/github-actions-demo.yml b/.github/workflows/github-actions-demo.yml new file mode 100644 index 00000000..420ec0ce --- /dev/null +++ b/.github/workflows/github-actions-demo.yml @@ -0,0 +1,30 @@ +name: GitHub Actions Demo + +on: + push: + branches: [ "feature/lab3" ] + workflow_dispatch: + +jobs: + Explore-GitHub-Actions: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + + - name: Print GitHub context + run: echo "🎉 The job was automatically triggered by a ${{ github.event_name }} event." + + - name: List files in the repository + run: | + ls ${{ github.workspace }} + + - name: System Information + run: | + echo "🖥️ Runner Environment Information:" + echo "OS: $(uname -a)" + echo "CPU Info:" + lscpu + echo "Memory Info:" + free -h + echo "Disk Info:" + df -h From 545228295a1f5cde79cd9cd5bba2cbbe4cac251a Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Wed, 8 Oct 2025 00:07:27 +0300 Subject: [PATCH 11/29] feat: enhance GitHub Actions workflow to differentiate between manual and automatic triggers --- .github/workflows/github-actions-demo.yml | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/.github/workflows/github-actions-demo.yml b/.github/workflows/github-actions-demo.yml index 420ec0ce..acbfd7a1 100644 --- a/.github/workflows/github-actions-demo.yml +++ b/.github/workflows/github-actions-demo.yml @@ -12,7 +12,12 @@ jobs: - uses: actions/checkout@v4 - name: Print GitHub context - run: echo "🎉 The job was automatically triggered by a ${{ github.event_name }} event." + run: | + if [ "${{ github.event_name }}" = "workflow_dispatch" ]; then + echo "🎉 The job was manually triggered using workflow_dispatch" + else + echo "🎉 The job was automatically triggered by a ${{ github.event_name }} event." + fi - name: List files in the repository run: | From 51f3af630028d6c23789d9ae772ae9986a4ab097 Mon Sep 17 00:00:00 2001 From: Dmitrii Creed Date: Sun, 21 Sep 2025 13:44:43 +0400 Subject: [PATCH 12/29] feat: publish labs 4&5, revise others Signed-off-by: Dmitrii Creed --- README.md | 150 ++- labs/lab1.md | 164 ++- labs/lab2.md | 108 +- labs/lab3.md | 105 +- labs/lab4.md | 186 +++ labs/lab5.md | 146 ++ lectures/lec4.md | 3296 ++++++++++++++++++++++++++++++++++++++++++++++ 7 files changed, 4023 insertions(+), 132 deletions(-) create mode 100644 labs/lab4.md create mode 100644 labs/lab5.md create mode 100644 lectures/lec4.md diff --git a/README.md b/README.md index 4db37366..2b9e9177 100644 --- a/README.md +++ b/README.md @@ -32,21 +32,121 @@ Practical modules designed for incremental skill development: --- -## 🖼 Module Flow Diagram +## 🗺️ DevOps Learning Journey +### 🌳 Skill Tree Structure ```mermaid -flowchart TD - A[Intro to DevOps] --> B[Version Control] - B --> C[CI/CD] - C --> D[Networking & OS] - D --> E[Virtualization] - E --> F[Containers] - F --> G[GitOps & Progressive Delivery] - G --> H[SRE & Resilience] - H --> I[Security in DevOps] - I --> J[Cloud Fundamentals] - J --> K[Bonus: Web3 Infrastructure] -```` +graph TB + ROOT[🚀 DevOps Mastery] + + %% Foundation Branch + ROOT --- FOUND[🏗️ Foundation] + FOUND --- A[📚 DevOps Intro
• Principles
• Culture
• Tools Overview] + FOUND --- B[🔄 Version Control
• Git Workflows
• Collaboration
• PR/MR Process] + + %% Development Branch + ROOT --- DEV[👨‍💻 Development] + DEV --- C[⚙️ CI/CD
• GitHub Actions
• Pipelines
• Automation] + DEV --- D[🖥️ Networking & OS
• Linux Fundamentals
• DNS/TCP/IP
• System Analysis] + + %% Infrastructure Branch + ROOT --- INFRA[🏗️ Infrastructure] + INFRA --- E[💻 Virtualization
• Hypervisors
• VMs
• Resource Management] + INFRA --- F[📦 Containers
• Docker
• Kubernetes
• Orchestration] + + %% Advanced Branch + ROOT --- ADV[🎯 Advanced] + ADV --- G[🚀 GitOps
• ArgoCD
• Progressive Delivery
• Rollback Strategies] + ADV --- H[🛡️ SRE
• SLOs/SLIs
• Incident Management
• Chaos Engineering] + + %% Production Branch + ROOT --- PROD[🌐 Production] + PROD --- I[🔐 DevSecOps
• Security Scanning
• SAST/DAST
• Secret Management] + PROD --- J[☁️ Cloud
• AWS/Azure/GCP
• IaaS/PaaS/SaaS
• Cloud-Native] + + %% Bonus Branch + ROOT --- BONUS[⭐ Bonus] + BONUS --- K[🌐 Web3
• IPFS
• Decentralized Storage
• Fleek] + + %% Styling + classDef rootStyle fill:#1a1a1a,stroke:#ffffff,stroke-width:3px,color:#ffffff + classDef branchStyle fill:#2c3e50,stroke:#3498db,stroke-width:2px,color:#ffffff + classDef foundationModule fill:#e8f8f5,stroke:#16a085,stroke-width:2px,color:#2c3e50 + classDef devModule fill:#fdf2e9,stroke:#e67e22,stroke-width:2px,color:#2c3e50 + classDef infraModule fill:#eaf2f8,stroke:#3498db,stroke-width:2px,color:#2c3e50 + classDef advModule fill:#f4ecf7,stroke:#9b59b6,stroke-width:2px,color:#2c3e50 + classDef prodModule fill:#fdedec,stroke:#e74c3c,stroke-width:2px,color:#2c3e50 + classDef bonusModule fill:#f0f3bd,stroke:#f1c40f,stroke-width:2px,color:#2c3e50 + + class ROOT rootStyle + class FOUND,DEV,INFRA,ADV,PROD,BONUS branchStyle + class A,B foundationModule + class C,D devModule + class E,F infraModule + class G,H advModule + class I,J prodModule + class K bonusModule +``` + +### 🏗️ Technology Stack Layers +```mermaid +flowchart LR + subgraph "🌐 Production & Cloud" + direction LR + I[🔐 DevSecOps
Security Integration] + J[☁️ Cloud Platforms
AWS/Azure/GCP] + K[⭐ Web3 Technologies
IPFS & Decentralized] + end + + subgraph "🎯 Advanced DevOps" + direction LR + G[🚀 GitOps
Progressive Delivery] + H[🛡️ SRE
Reliability Engineering] + end + + subgraph "🏗️ Infrastructure Layer" + direction LR + E[💻 Virtualization
VMs & Hypervisors] + F[📦 Containers
Docker & Kubernetes] + end + + subgraph "🔧 Development Layer" + direction LR + C[⚙️ CI/CD
Automation Pipelines] + D[🖥️ Systems & Network
Linux Fundamentals] + end + + subgraph "🏗️ Foundation Layer" + direction LR + A[📚 DevOps Principles
Culture & Mindset] + B[🔄 Version Control
Git & Collaboration] + end + + A --> C + B --> C + C --> E + D --> E + D --> F + E --> F + F --> G + F --> H + G --> I + H --> I + I --> J + J --> K + + classDef foundation fill:#e8f6f3,stroke:#1abc9c,stroke-width:3px,color:#2c3e50 + classDef development fill:#fef9e7,stroke:#f39c12,stroke-width:3px,color:#2c3e50 + classDef infrastructure fill:#eaf2f8,stroke:#3498db,stroke-width:3px,color:#2c3e50 + classDef advanced fill:#f4ecf7,stroke:#9b59b6,stroke-width:3px,color:#2c3e50 + classDef production fill:#fdedec,stroke:#e74c3c,stroke-width:3px,color:#2c3e50 + + class A,B foundation + class C,D development + class E,F infrastructure + class G,H advanced + class I,J,K production +``` --- @@ -62,7 +162,8 @@ flowchart TD 2. **Submission Workflow** * Fork course repository → Create lab branch → Complete tasks - * Push to fork → Open Pull Request → Receive feedback & evaluation + * Push to fork → Open PR to **course repo main branch** → Copy PR URL + * **Submit PR link via Moodle before deadline** → Receive feedback & evaluation 3. **Grading Advantage** @@ -70,6 +171,27 @@ flowchart TD * **On-Time Submissions (≥6/10)**: Guaranteed pass (C or higher) * **Late Submissions**: Maximum 6/10 +4. **Detailed Submission Process** + + ```bash + # 1. Fork the course repository to your GitHub account + # 2. Clone your fork locally + git clone https://github.com/YOUR_USERNAME/REPO_NAME.git + cd REPO_NAME + + # 3. Create and work on your lab branch + git switch -c feature/labX + # Complete lab tasks, create submission files + git add labs/submissionX.md + git commit -m "docs: add labX submission" + git push -u origin feature/labX + + # 4. Open PR from your fork → course repository main branch + # 5. Copy the PR URL and submit via Moodle before deadline + ``` + + **Important:** PRs must target the **course repository's main branch**, not your fork's main branch. + --- ## 📊 Evaluation Framework diff --git a/labs/lab1.md b/labs/lab1.md index b1f8af08..2bd311e7 100644 --- a/labs/lab1.md +++ b/labs/lab1.md @@ -5,7 +5,7 @@ ![points](https://img.shields.io/badge/points-10-orange) > **Goal:** Learn the basic Git workflow (fork → branch → PR) and practice secure commit practices. -> **Deliverable:** A PR from `feature/lab1` with all checklist items completed. +> **Deliverable:** A PR from `feature/lab1` to the course repo with `labs/submission1.md` containing all checklist items completed. Submit the PR link via Moodle. --- @@ -25,34 +25,48 @@ These are the foundation of collaboration and trust in DevOps teams. **Objective:** Understand the importance of signed commits and set up SSH commit signature verification. -1. **Explore the Importance of Signed Commits** - - Research why commit signing is crucial for verifying the integrity and authenticity of commits. - - Resources: - - [GitHub Docs on SSH Commit Verification](https://docs.github.com/en/authentication/managing-commit-signature-verification/about-commit-signature-verification) - - [Atlassian Guide to SSH and Git](https://confluence.atlassian.com/bitbucketserver/sign-commits-and-tags-with-ssh-keys-1305971205.html) - - Create a file `labs/submission1.md` with a short summary explaining the benefits of signing commits. - -2. **Set Up SSH Commit Signing** - - **Option 1:** Use an existing SSH key and add it to GitHub. - - **Option 2 (recommended):** Generate a new key (ed25519) - ```sh - ssh-keygen -t ed25519 -C "your_email@example.com" - ``` - Then add the public key to your GitHub account. - - - Configure Git to use your SSH key for signing: - ```sh - git config --global user.signingkey - git config --global commit.gpgSign true - git config --global gpg.format ssh - ``` - -3. **Make a Signed Commit** - - Create and sign a commit with your `submission1.md` file: - ```sh - git commit -S -m "docs: add commit signing summary" - ``` - - Push this commit to your `feature/lab1` branch. +#### 1.1: Explore the Importance of Signed Commits + +1. **Research Commit Signing Benefits:** + + - Research why commit signing is crucial for verifying the integrity and authenticity of commits. + - Resources: + - [GitHub Docs on SSH Commit Verification](https://docs.github.com/en/authentication/managing-commit-signature-verification/about-commit-signature-verification) + - [Atlassian Guide to SSH and Git](https://confluence.atlassian.com/bitbucketserver/sign-commits-and-tags-with-ssh-keys-1305971205.html) + +#### 1.2: Set Up SSH Commit Signing + +1. **Generate SSH Key (Option A - Recommended):** + + ```sh + ssh-keygen -t ed25519 -C "your_email@example.com" + ``` + +2. **Use Existing SSH Key (Option B):** + + - Use an existing SSH key and add it to GitHub. + +3. **Configure Git for SSH Signing:** + + ```sh + git config --global user.signingkey + git config --global commit.gpgSign true + git config --global gpg.format ssh + ``` + +#### 1.3: Make a Signed Commit + +1. **Create and Sign Commit:** + + ```sh + git commit -S -m "docs: add commit signing summary" + ``` + +In `labs/submission1.md`, document: +- A short summary explaining the benefits of signing commits. +- Evidence of successful SSH key setup and signed commit. +- Answer: "Why is commit signing important in DevOps workflows?" +- Screenshots or verification of the "Verified" badge on GitHub. --- @@ -62,55 +76,82 @@ These are the foundation of collaboration and trust in DevOps teams. > ⚠️ **One-time bootstrap:** GitHub loads PR templates from the **default branch of the base repo** (your fork’s `main`). Add the template to `main` first, then open your lab PR from `feature/lab1`. -#### Steps +#### 2.1: Create PR Template + +1. **Template Location and Setup:** -1. **Create (or source) a template on `main`** - Path: `.github/pull_request_template.md` - Commit message: `docs: add PR template` - - **Option A (discover):** Find a concise PR template from a reputable open-source project or GitHub docs and adapt it. + ```bash + # Path: .github/pull_request_template.md + # Commit message: docs: add PR template + ``` + +2. **Template Options:** + + - **Option A (discover):** Find a concise PR template from a reputable open-source project or GitHub docs and adapt it. - **Option B (write your own):** Create a minimal template with these sections and a 3-item checklist: - - Sections: **Goal**, **Changes**, **Testing** - - Checklist (3 items): clear title, docs/README updated if needed, no secrets/large temp files + - Sections: **Goal**, **Changes**, **Testing** + - Checklist (3 items): clear title, docs/README updated if needed, no secrets/large temp files - Keep it short and practical (aim for ≤ 30 lines). -2. **Create your lab branch and open a PR** +#### 2.2: Create Lab Branch and Open PR + +1. **Branch Creation:** + ```bash git checkout -b feature/lab1 - # make a change (add labs/submission1.md) git add . git commit -m "docs: add lab1 submission stub" git push -u origin feature/lab1 ``` -Open a PR from `feature/lab1` → `main` **in your fork**. +#### 2.3: Verify Template Application -3. **Verify the template is applied** +1. **Template Verification:** - * The PR **description auto-fills** with your sections and the **3-item checklist**. - * Fill in *Goal / Changes / Testing* and tick the checkboxes. + - Open a PR from `feature/lab1` → `main` **in your fork**. + - The PR **description auto-fills** with your sections and the **3-item checklist**. + - Fill in *Goal / Changes / Testing* and tick the checkboxes. -#### Acceptance Criteria +In `labs/submission1.md`, document: +- Screenshot of PR template auto-filling the description. +- Evidence that `.github/pull_request_template.md` exists on main branch. +- Analysis of how PR templates improve collaboration. +- Note any challenges encountered during setup. -* ✅ Branch `feature/lab1` exists with changes committed. -* ✅ `submission1.md` is present and at least one commit in the PR shows **“Verified”** (signed via SSH) on GitHub. -* ✅ File `.github/pull_request_template.md` exists on the **main** branch. -* ✅ A PR from `feature/lab1` → `main` is open and **auto-filled** with the template, including **Goal / Changes / Testing** and the **3-item checklist** (boxes ticked). +## Acceptance Criteria + +- ✅ Branch `feature/lab1` exists with commits for each task. +- ✅ File `labs/submission1.md` contains required outputs and analysis for Tasks 1-2. +- ✅ At least one commit shows **"Verified"** (signed via SSH) on GitHub. +- ✅ File `.github/pull_request_template.md` exists on the **main** branch. +- ✅ PR from `feature/lab1` → **course repo main branch** is open. +- ✅ PR link submitted via Moodle before the deadline. --- ## How to Submit -1. Complete all tasks. -2. Push `feature/lab1` to your fork. -3. Open a PR to your fork’s `main`. -4. In the PR description, include: +1. Create a branch for this lab and push it to your fork: + + ```bash + git switch -c feature/lab1 + # create labs/submission1.md with your findings + git add labs/submission1.md + git commit -m "docs: add lab1 submission" + git push -u origin feature/lab1 + ``` + +2. Open a PR from your fork's `feature/lab1` branch → **course repository's main branch**. + +3. In the PR description, include: ```text - [x] Task 1 done - [x] Task 2 done - - [x] Screenshots attached (if applicable) ``` +4. **Copy the PR URL** and submit it via **Moodle before the deadline**. + --- ## Rubric (10 pts) @@ -123,8 +164,19 @@ Open a PR from `feature/lab1` → `main` **in your fork**. --- -## Hints +## Guidelines + +- Use clear Markdown headers to organize sections in `submission1.md`. +- Include both command outputs and written analysis for each task. +- Document template setup process and verification steps. +- Ensure commit signing is working correctly with verification screenshots. + +> **Security Notes** +> 1. Ensure the email on your commits matches your GitHub account for proper verification. +> 2. Keep SSH keys secure and never commit private keys to repositories. +> 3. Verify `gpg.format` is set to `ssh` for proper signing configuration. -> 🔐 **Signed commit not showing “Verified”?** Ensure the email on your commits matches your GitHub account and that `gpg.format` is set to `ssh`.\ -> 📝 **Template didn’t load?** Confirm the path is `.github\pull_request_template.md` **on `main`** before opening the PR; re-open the PR description after adding it.\ -> ✂️ **Keep it short:** Reviewers read many PRs—concise templates get filled, long ones get ignored. +> **Template Notes** +> 1. Confirm the path is `.github/pull_request_template.md` **on `main`** before opening the PR. +> 2. Re-open the PR description after adding the template if it didn't auto-fill. +> 3. Keep templates short—reviewers read many PRs, concise templates get filled, long ones get ignored. diff --git a/labs/lab2.md b/labs/lab2.md index 1468ba02..55af3b35 100644 --- a/labs/lab2.md +++ b/labs/lab2.md @@ -4,8 +4,8 @@ ![topic](https://img.shields.io/badge/topic-Git%20%26%20Version%20Control-blue) ![points](https://img.shields.io/badge/points-10-orange) -> Goal: Deepen Git fundamentals: object model, reset/reflog, history visualization, tagging, and modern commands (`git switch`/`git restore`). -> Deliverable: A PR from `feature/lab2` with `labs/submission2.md` including outputs and brief explanations for each task. +> **Goal:** Deepen Git fundamentals: object model, reset/reflog, history visualization, tagging, and modern commands (`git switch`/`git restore`). +> **Deliverable:** A PR from `feature/lab2` to the course repo with `labs/submission2.md` including outputs and brief explanations for each task. Submit the PR link via Moodle. --- @@ -24,48 +24,69 @@ In this lab you will practice: ### Task 1 — Git Object Model Exploration (2 pts) -**Objective**: Understand how Git stores data as blobs, trees, and commits. +**Objective:** Understand how Git stores data as blobs, trees, and commits. -1. Make a few commits in this repo. -2. Inspect objects with `git cat-file`: +#### 1.1: Create Sample Commits - ```sh - # Replace with real object IDs from your repo - git cat-file -p - git cat-file -p - git cat-file -p - ``` +1. **Make Sample Commits:** + + ```sh + # Create a few test commits for analysis + echo "Test content" > test.txt + git add test.txt + git commit -m "Add test file" + ``` + +#### 1.2: Inspect Git Objects -3. In `labs/submission2.md`, include the outputs and a 1–2 sentence explanation of what each object type represents. +1. **Examine Git Objects:** + + ```sh + # Replace with real object IDs from your repo + git cat-file -p + git cat-file -p + git cat-file -p + ``` + +In `labs/submission2.md`, document: +- All command outputs for object inspection. +- A 1–2 sentence explanation of what each object type represents. +- Analysis of how Git stores repository data. +- Example of blob, tree, and commit object content. --- ### Task 2 — Reset and Reflog Recovery (3 pts) -**Objective**: Practice using `git reset` variants and `git reflog` to navigate history. +**Objective:** Practice using `git reset` variants and `git reflog` to navigate history. -1. Create a practice branch and several commits: +#### 2.1: Create Practice Branch - ```sh - git switch -c git-reset-practice - echo "First commit" > file.txt && git add file.txt && git commit -m "First commit" - echo "Second commit" >> file.txt && git add file.txt && git commit -m "Second commit" - echo "Third commit" >> file.txt && git add file.txt && git commit -m "Third commit" - ``` +1. **Set Up Practice Environment:** -2. Explore reset modes and reflog: + ```sh + git switch -c git-reset-practice + echo "First commit" > file.txt && git add file.txt && git commit -m "First commit" + echo "Second commit" >> file.txt && git add file.txt && git commit -m "Second commit" + echo "Third commit" >> file.txt && git add file.txt && git commit -m "Third commit" + ``` - ```sh - git reset --soft HEAD~1 # move HEAD; keep index & working tree - git reset --hard HEAD~1 # move HEAD; discard index & working tree - git reflog # view HEAD movement - git reset --hard # recover a previous state - ``` +#### 2.2: Explore Reset Modes + +1. **Test Different Reset Options:** -3. In `labs/submission2.md`, document: -- The exact commands you ran and why. -- Snippets of `git log --oneline` and `git reflog`. + ```sh + git reset --soft HEAD~1 # move HEAD; keep index & working tree + git reset --hard HEAD~1 # move HEAD; discard index & working tree + git reflog # view HEAD movement + git reset --hard # recover a previous state + ``` + +In `labs/submission2.md`, document: +- The exact commands you ran and why. +- Snippets of `git log --oneline` and `git reflog`. - What changed in the working tree, index, and history for each reset. +- Analysis of recovery process using reflog. --- @@ -162,7 +183,7 @@ Include the commands you ran, `git status`/`git branch` outputs, and 2–3 sente git push -u origin feature/lab2 ``` -2. Open a PR from `feature/lab2` → `main` in your fork. +2. Open a PR from your fork's `feature/lab2` branch → **course repository's main branch**. 3. In the PR description, include: ```text @@ -173,14 +194,17 @@ Include the commands you ran, `git status`/`git branch` outputs, and 2–3 sente - [x] Task 5 done ``` +4. **Copy the PR URL** and submit it via **Moodle before the deadline**. + --- ## Acceptance Criteria -- Branch `feature/lab2` exists with commits for each task. -- File `labs/submission2.md` contains required outputs/explanations for Tasks 1–5. -- A tag (e.g., `v1.0.0`) is created locally and pushed to origin. -- PR from `feature/lab2` → `main` is open in your fork. +- ✅ Branch `feature/lab2` exists with commits for each task. +- ✅ File `labs/submission2.md` contains required outputs/explanations for Tasks 1–5. +- ✅ A tag (e.g., `v1.0.0`) is created locally and pushed to origin. +- ✅ PR from `feature/lab2` → **course repo main branch** is open. +- ✅ PR link submitted via Moodle before the deadline. --- @@ -203,10 +227,16 @@ Include the commands you ran, `git status`/`git branch` outputs, and 2–3 sente --- -### Guidelines +## Guidelines + +- Use clear Markdown headers to organize sections in `submission2.md`. +- Include both command outputs and written analysis for each task. +- Use clear commit messages and keep screenshots/snippets concise. +- Organize files under `labs/` and name them predictably. -- Use clear commit messages and keep screenshots/snippets concise. -- Organize files under `labs/` and name them predictably. -- Prefer `git switch`/`git restore` over legacy `git checkout` for clarity. +> **Git Command Notes** +> 1. Prefer `git switch`/`git restore` over legacy `git checkout` for clarity. +> 2. Always check `git status` after reset operations to understand the state. +> 3. Use `git reflog` for recovery when commits seem lost. > Note: Actively explore and document your findings to gain hands-on experience with Git. diff --git a/labs/lab3.md b/labs/lab3.md index 890d3c25..220ba8c8 100644 --- a/labs/lab3.md +++ b/labs/lab3.md @@ -4,8 +4,8 @@ ![topic](https://img.shields.io/badge/topic-GitHub%20Actions%20%26%20CI%2FCD-blue) ![points](https://img.shields.io/badge/points-10-orange) -> Goal: Build foundational CI/CD workflows in GitHub Actions: quickstart, triggers, logs, and system information. -> Deliverable: A PR from `feature/lab3` with `labs/submission3.md` containing run links/log snippets, workflow YAML, and brief explanations for each task. +> **Goal:** Build foundational CI/CD workflows in GitHub Actions: quickstart, triggers, logs, and system information. +> **Deliverable:** A PR from `feature/lab3` to the course repo with `labs/submission3.md` containing run links/log snippets, workflow YAML, and brief explanations for each task. Submit the PR link via Moodle. --- @@ -24,49 +24,94 @@ In this lab you will practice: ### Task 1 — First GitHub Actions Workflow (4 pts) -**Objective**: Set up a basic workflow that runs on push and prints basic info. +**Objective:** Set up a basic workflow that runs on push and prints basic info. -1. Read and follow the GitHub Actions [quickstart](https://docs.github.com/en/actions/quickstart). -2. Document all your observations, key concepts, and steps you followed in the `submission3.md` file. -3. Push a commit to trigger the workflow. Observe the run details and logs. -4. In `labs/submission3.md`, include: +#### 1.1: Follow GitHub Actions Quickstart + +1. **Read and Implement Quickstart:** + + - Read and follow the GitHub Actions [quickstart](https://docs.github.com/en/actions/quickstart). + - Document all your observations, key concepts, and steps you followed. + +#### 1.2: Test Workflow Trigger + +1. **Push Commit and Monitor:** + + - Push a commit to trigger the workflow. + - Observe the run details and logs in the Actions tab. + +In `labs/submission3.md`, document: - Link to the successful run (or screenshots). - Key concepts learned (jobs, steps, runners, triggers). - A short note on what caused the run to trigger. +- Analysis of workflow execution process. --- ### Task 2 — Manual Trigger + System Information (4 pts) -**Objective**: Add a manual trigger and capture system details from the runner. +**Objective:** Add a manual trigger and capture system details from the runner. + +#### 2.1: Add Manual Trigger + +1. **Extend Workflow with Manual Trigger:** + + - Extend your existing GitHub Actions workflow to include a [manual trigger](https://docs.github.com/en/actions/using-workflows/triggering-a-workflow#defining-inputs-for-manually-triggered-workflows). + - Inputs for manually triggered workflows are not needed, so you can skip them. + +#### 2.2: Test Manual Dispatch + +1. **Dispatch Workflow Manually:** + + - Dispatch the workflow manually from the GitHub UI (Actions → your workflow → Run workflow). -1. Extend your existing GitHub Actions workflow to include a [manual trigger](https://docs.github.com/en/actions/using-workflows/triggering-a-workflow#defining-inputs-for-manually-triggered-workflows). Inputs for manually triggered workflows are not needed, so you can skip them. -2. Dispatch the workflow manually from the GitHub UI (Actions → your workflow → Run workflow). -3. Modify your workflow to include an additional step for gathering system information. -4. Use the appropriate actions and steps to collect information about the runner, hardware specifications, and operating system details. -5. Document the changes made to the workflow file and the gathered system information in the same `submission3.md` file. +#### 2.3: Gather System Information + +1. **Add System Information Collection:** + + - Modify your workflow to include an additional step for gathering system information. + - Use the appropriate actions and steps to collect information about the runner, hardware specifications, and operating system details. + +In `labs/submission3.md`, document: +- Changes made to the workflow file. +- The gathered system information from runner. +- Comparison of manual vs automatic workflow triggers. +- Analysis of runner environment and capabilities. --- ## Acceptance Criteria -- Branch `feature/lab3` exists with the workflow file present. -- File `labs/submission3.md` contains the required outputs/explanations for Tasks 1–2. -- Workflow runs successfully on `push` and via `workflow_dispatch`. -- PR from `feature/lab3` → `main` is open in your fork. +- ✅ Branch `feature/lab3` exists with commits for each task. +- ✅ File `labs/submission3.md` contains required outputs and analysis for Tasks 1-2. +- ✅ Workflow runs successfully on `push` and via `workflow_dispatch`. +- ✅ PR from `feature/lab3` → **course repo main branch** is open. +- ✅ PR link submitted via Moodle before the deadline. --- ## How to Submit -1. Create a branch for this lab and push it. -2. Open a PR from `feature/lab3` → `main` in your fork. +1. Create a branch for this lab and push it to your fork: + + ```bash + git switch -c feature/lab3 + # create labs/submission3.md with your findings + git add labs/submission3.md + git commit -m "docs: add lab3 submission" + git push -u origin feature/lab3 + ``` + +2. Open a PR from your fork's `feature/lab3` branch → **course repository's main branch**. + 3. In the PR description, include: - ```text - - [x] Task 1 done - - [x] Task 2 done - ``` + ```text + - [x] Task 1 done + - [x] Task 2 done + ``` + +4. **Copy the PR URL** and submit it via **Moodle before the deadline**. --- @@ -77,3 +122,17 @@ In this lab you will practice: | Task 1 — First workflow setup + run | **6**| | Task 2 — Manual trigger + system information | **4**| | **Total** | **10**| + +--- + +## Guidelines + +- Use clear Markdown headers to organize sections in `submission3.md`. +- Include both command outputs and written analysis for each task. +- Document workflow setup process and system information gathering. +- Include links to successful workflow runs or screenshots as evidence. + +> **GitHub Actions Notes** +> 1. Ensure workflow files are placed in `.github/workflows/` directory. +> 2. Verify workflow syntax using GitHub's built-in validator. +> 3. Monitor workflow runs in the Actions tab for debugging. diff --git a/labs/lab4.md b/labs/lab4.md new file mode 100644 index 00000000..b80a5700 --- /dev/null +++ b/labs/lab4.md @@ -0,0 +1,186 @@ + +# Lab 4 — Operating Systems & Networking + +![difficulty](https://img.shields.io/badge/difficulty-beginner-success) +![topic](https://img.shields.io/badge/topic-OS%20%26%20Networking-blue) +![points](https://img.shields.io/badge/points-10-orange) + +> **Goal:** Analyze operating system fundamentals and conduct network diagnostics to develop core DevOps infrastructure skills. +> **Deliverable:** A PR from `feature/lab4` to the course repo with `labs/submission4.md` containing command outputs, analysis, and observations. Submit the PR link via Moodle. + +--- + +## Overview + +In this lab you will practice: +- Analyzing OS components: boot performance, resource usage, services, sessions, and memory management. +- Performing network diagnostics: path tracing, DNS inspection, packet capture, and reverse lookups. +- Documenting system analysis findings with proper security considerations. + +--- + +## Tasks + +### Task 1 — Operating System Analysis (6 pts) + +**Objective:** Analyze key OS components including boot performance, resource usage, services, sessions, and memory management. + +#### 1.1: Boot Performance Analysis + +1. **Analyze System Boot Time:** + + ```sh + systemd-analyze + systemd-analyze blame + ``` + +2. **Check System Load:** + + ```sh + uptime + w + ``` + +#### 1.2: Process Forensics + +1. **Identify Resource-Intensive Processes:** + + ```sh + ps -eo pid,ppid,cmd,%mem,%cpu --sort=-%mem | head -n 6 + ps -eo pid,ppid,cmd,%mem,%cpu --sort=-%cpu | head -n 6 + ``` + +#### 1.3: Service Dependencies + +1. **Map Service Relationships:** + + ```sh + systemctl list-dependencies + systemctl list-dependencies multi-user.target + ``` + +#### 1.4: User Sessions + +1. **Audit Login Activity:** + + ```sh + who -a + last -n 5 + ``` + +#### 1.5: Memory Analysis + +1. **Inspect Memory Allocation:** + + ```sh + free -h + cat /proc/meminfo | grep -e MemTotal -e SwapTotal -e MemAvailable + ``` + +In `labs/submission4.md`, document: +- All command outputs for sections 1.1-1.5. +- Key observations for each analysis section. +- Answer: "What is the top memory-consuming process?" +- Note any resource utilization patterns you observe. + +--- + +### Task 2 — Networking Analysis (4 pts) + +**Objective:** Perform network diagnostics including path tracing, DNS inspection, packet capture, and reverse lookups. + +#### 2.1: Network Path Tracing + +1. **Traceroute Execution:** + + ```sh + traceroute github.com + ``` + +2. **DNS Resolution Check:** + + ```sh + dig github.com + ``` + +#### 2.2: Packet Capture + +1. **Capture DNS Traffic:** + + ```sh + sudo timeout 10 tcpdump -c 5 -i any 'port 53' -nn + ``` + +#### 2.3: Reverse DNS + +1. **Perform PTR Lookups:** + + ```sh + dig -x 8.8.4.4 + dig -x 1.1.2.2 + ``` + +In `labs/submission4.md`, document: +- All command outputs for sections 2.1-2.3. +- Insights on network paths discovered. +- Analysis of DNS query/response patterns. +- Comparison of reverse lookup results. +- One example DNS query from packet capture (sanitize IPs if needed). + +--- + +## Acceptance Criteria + +- ✅ Branch `feature/lab4` exists with commits for each task. +- ✅ File `labs/submission4.md` contains required outputs and analysis for Tasks 1-2. +- ✅ All sensitive information (IPs, process names) is properly sanitized in documentation. +- ✅ PR from `feature/lab4` → **course repo main branch** is open. +- ✅ PR link submitted via Moodle before the deadline. + +--- + +## How to Submit + +1. Create a branch for this lab and push it to your fork: + + ```bash + git switch -c feature/lab4 + # create labs/submission4.md with your findings + git add labs/submission4.md + git commit -m "docs: add lab4 submission" + git push -u origin feature/lab4 + ``` + +2. Open a PR from your fork's `feature/lab4` branch → **course repository's main branch**. + +3. In the PR description, include: + + ```text + - [x] Task 1 done + - [x] Task 2 done + ``` + +4. **Copy the PR URL** and submit it via **Moodle before the deadline**. + +--- + +## Rubric (10 pts) + +| Criterion | Points | +| -------------------------------------------- | -----: | +| Task 1 — Operating system analysis | **6** | +| Task 2 — Networking analysis | **4** | +| **Total** | **10** | + +--- + +## Guidelines + +- Use clear Markdown headers to organize sections in `submission4.md`. +- Include both command outputs and written analysis for each task. +- For packet capture, document at least one DNS query example. +- Sanitize sensitive information: replace last octet of IPs with XXX, avoid sensitive process names. + +> **Security Notes** +> 1. Sanitize IPs in packet capture outputs (replace last octet with XXX). +> 2. Avoid including sensitive process names in documentation. diff --git a/labs/lab5.md b/labs/lab5.md new file mode 100644 index 00000000..9e17dc71 --- /dev/null +++ b/labs/lab5.md @@ -0,0 +1,146 @@ +# Lab 5 — Virtualization & System Analysis + +![difficulty](https://img.shields.io/badge/difficulty-intermediate-yellow) +![topic](https://img.shields.io/badge/topic-Virtualization-blue) +![points](https://img.shields.io/badge/points-10-orange) + +> **Goal:** Learn virtualization fundamentals by deploying VMs and analyzing system specifications across different platforms. +> **Deliverable:** A PR from `feature/lab5` to the course repo with `labs/submission5.md` containing VM deployment documentation and system analysis. Submit the PR link via Moodle. + +--- + +## Overview + +In this lab you will practice: +- Setting up virtualization platforms across different operating systems. +- Deploying and configuring virtual machines with modern Linux distributions. +- Using command-line tools for system information gathering and analysis. +- Documenting virtualization workflows for cross-platform environments. + +These skills are essential for DevOps infrastructure management and system administration. + +--- + +## Tasks + +### Task 1 — VirtualBox Installation (5 pts) + +**Objective:** Install VirtualBox on your host operating system. + +#### 1.1: Install VirtualBox + +1. **Download and Install:** + + - Download VirtualBox from [https://www.virtualbox.org/](https://www.virtualbox.org/) + - Install using the GUI installer with default settings + - Restart if prompted + +2. **Verify Installation:** + + - Launch VirtualBox and note the version number + +In `labs/submission5.md`, document: +- Host operating system and version (e.g., "Windows 11 Pro 23H2", "macOS Sonoma 14.1", "Ubuntu 22.04 LTS") +- VirtualBox version number +- Any installation issues encountered + +### Task 2 — Ubuntu VM and System Analysis (5 pts) + +**Objective:** Deploy Ubuntu 24.04 LTS in VirtualBox and discover tools to analyze system information. + +#### 2.1: Create Ubuntu VM + +1. **VM Setup:** + + - Download Ubuntu 24.04 LTS ISO from [https://ubuntu.com/download/desktop](https://ubuntu.com/download/desktop) + - Create new VM in VirtualBox with: + - RAM: 4GB minimum (8GB recommended) + - Storage: 25GB minimum + - CPU: 2 cores minimum + - Install Ubuntu using the default installation process + +#### 2.2: System Information Discovery + +1. **Find Tools to Gather Information:** + + Research and discover command-line tools that can provide: + - **CPU Details**: Processor model, architecture, cores, frequency + - **Memory Information**: Total RAM, available memory + - **Network Configuration**: IP addresses, network interfaces + - **Storage Information**: Disk usage, filesystem details + - **Operating System**: Ubuntu version, kernel information + - **Virtualization Detection**: Confirmation system is running in a VM + +In `labs/submission5.md`, document: +- VM configuration specifications used (RAM, storage, CPU cores) +- For each information type above: + - Tool name(s) you discovered + - Command(s) used + - Complete command output +- Brief reflection on which tools were most useful and why + +--- + +## Acceptance Criteria + +- ✅ Branch `feature/lab5` exists with commits for each task. +- ✅ File `labs/submission5.md` contains required outputs and analysis for Tasks 1-2. +- ✅ VirtualBox is successfully installed and verified. +- ✅ Ubuntu 24.04 LTS VM is deployed and documented. +- ✅ System analysis shows comprehensive hardware and OS information. +- ✅ PR from `feature/lab5` → **course repo main branch** is open. +- ✅ PR link submitted via Moodle before the deadline. + +--- + +## How to Submit + +1. Create a branch for this lab and push it to your fork: + + ```bash + git switch -c feature/lab5 + # create labs/submission5.md with your findings + git add labs/submission5.md + git commit -m "docs: add lab5 submission" + git push -u origin feature/lab5 + ``` + +2. Open a PR from your fork's `feature/lab5` branch → **course repository's main branch**. + +3. In the PR description, include: + + ```text + - [x] Task 1 done + - [x] Task 2 done + ``` + +4. **Copy the PR URL** and submit it via **Moodle before the deadline**. + +--- + +## Rubric (10 pts) + +| Criterion | Points | +| ---------------------------------------------- | -----: | +| Task 1 — VirtualBox installation | **5** | +| Task 2 — Ubuntu VM + system analysis | **5** | +| **Total** | **10** | + +--- + +## Guidelines + +- Use clear Markdown headers to organize sections in `submission5.md`. +- Include complete command outputs with proper formatting. +- Document your tool discovery process and reasoning. + +> **Installation Notes** +> 1. Download software only from official websites. +> 2. Use default installation settings unless you have specific requirements. +> 3. Ensure your host system has sufficient resources before creating VMs. + +> **Tool Discovery Tips** +> 1. Start with built-in Linux commands before installing additional packages. +> 2. Use package managers (apt) to search for system information tools. +> 3. Test multiple tools and compare their outputs. +> 4. Document which tools provide the most useful information. diff --git a/lectures/lec4.md b/lectures/lec4.md new file mode 100644 index 00000000..2ea920c2 --- /dev/null +++ b/lectures/lec4.md @@ -0,0 +1,3296 @@ +# 📌 Lecture 4 - Networking & OS for DevOps + +## 📍 Slide 1 – 🌐 Introduction to Networking in DevOps + +* 🧩 **DevOps Networking** = the foundation that connects all components in modern **infrastructure and applications**. +* 🔄 As applications evolve from **monolithic** → **microservices** → **serverless**, network complexity increases exponentially. +* 🛠️ DevOps engineers must understand networking to: + * 🔍 Troubleshoot deployment issues + * 🛡️ Implement proper security controls + * ⚡ Optimize application performance + * 🏗️ Design scalable architectures +* 💡 **Network automation** is becoming essential as manual configurations can't scale with modern deployment speeds. +* 🌍 **Historical context**: Early DevOps focused on deployment; modern DevOps requires **"network as code"** principles. + +**Evolution of Networking in DevOps** +```mermaid +flowchart LR + A["🏢 Traditional Networking\n(Manual, Ticket-based)"] --> B["🔄 NetOps\n(Some Automation)"] + B --> C["🚀 Network as Code\n(Full Automation)"] + C --> D["🤖 Network as a Service\n(Self-service, API-driven)"] +``` + +🔗 **Resources:** +* [Network Automation for DevOps](https://www.redhat.com/en/topics/automation/what-is-network-automation) +* [O'Reilly: Networking in the Age of DevOps](https://www.oreilly.com/library/view/network-programmability-and/9781491931240/) + +--- + +## 📍 Slide 2 – 📡 OSI Model & TCP/IP Stack + +* 🧩 **OSI Model** = Open Systems Interconnection Model, a conceptual framework with **7 layers** that standardizes network functions. +* 🔄 **TCP/IP Stack** = The practical implementation used in real-world networks, with **4 layers** that map to OSI layers. +* 🎯 **Why it matters**: Understanding these models helps DevOps engineers **troubleshoot issues** at the correct layer. +* 📚 **Historical context**: OSI Model was developed in 1984 but TCP/IP (created in the 1970s) became dominant due to its use in ARPANET and early internet. + +**OSI vs TCP/IP Layers:** + +```mermaid +flowchart LR + subgraph OSI["🧩 OSI Model"] + O7["7️⃣ Application"] + O6["6️⃣ Presentation"] + O5["5️⃣ Session"] + O4["4️⃣ Transport"] + O3["3️⃣ Network"] + O2["2️⃣ Data Link"] + O1["1️⃣ Physical"] + end + + subgraph TCP["🌐 TCP/IP Stack"] + T4["4️⃣ Application\n(HTTP, FTP, SSH, DNS)"] + T3["3️⃣ Transport\n(TCP, UDP)"] + T2["2️⃣ Internet\n(IP, ICMP)"] + T1["1️⃣ Network Interface\n(Ethernet, WiFi)"] + end + + O7 & O6 & O5 --> T4 + O4 --> T3 + O3 --> T2 + O2 & O1 --> T1 +``` + +* 🛠️ **DevOps use cases by layer**: + * **Application Layer**: API gateway configuration, HTTP headers, service discovery + * **Transport Layer**: Load balancer tuning, port management, TCP optimization + * **Internet/Network Layer**: IP allocation, routing, security groups, firewalls + * **Network Interface**: Hardware configurations, NICs, virtualization + +🔗 **Resources:** +* [Cloudflare: What is the OSI Model?](https://www.cloudflare.com/learning/ddos/glossary/open-systems-interconnection-model-osi/) +* [RFC 1122: Requirements for Internet Hosts](https://datatracker.ietf.org/doc/html/rfc1122) + +--- + +## 📍 Slide 3 – 🔢 IP Addressing & Subnetting + +* 🌐 **IP Address** = numerical label assigned to network devices, enables communication across networks. +* 🧩 **IPv4** = 32-bit address (e.g., `192.168.1.1`), limited to ~4.3 billion addresses, now exhausted. +* 🔄 **IPv6** = 128-bit address (e.g., `2001:0db8:85a3:0000:0000:8a2e:0370:7334`), practically unlimited (~340 undecillion addresses). +* 📚 **CIDR Notation** = Classless Inter-Domain Routing (e.g., `192.168.1.0/24`), combines IP address with prefix length to define network range. +* 📝 **Subnet Mask** = Defines which portion of an IP address refers to the network vs. the host (e.g., `255.255.255.0` = `/24`). + +**Subnetting Example** +```mermaid +graph TB + A["🌐 10.0.0.0/16 Network\n(65,536 addresses)"] --> B["🔵 10.0.0.0/24\nDevelopment\n(256 addresses)"] + A --> C["🟢 10.0.1.0/24\nProduction\n(256 addresses)"] + A --> D["🟡 10.0.2.0/24\nTesting\n(256 addresses)"] + A --> E["⚫ 10.0.3.0/24\nManagement\n(256 addresses)"] + + B --> F["🖥️ 10.0.0.5\nDev Server 1"] + B --> G["🖥️ 10.0.0.6\nDev Server 2"] + C --> H["🖥️ 10.0.1.5\nProd Server 1"] + C --> I["🖥️ 10.0.1.6\nProd Server 2"] +``` + +* 🛠️ **Common Subnet Sizes in DevOps**: + * `/16` (Class B): 65,536 IP addresses - Often used for entire cloud VPCs + * `/24` (Class C): 256 IP addresses - Common for network segments + * `/28`: 16 IP addresses - Small subnets for specialized services + * `/32`: Single IP address - Used for individual resources + +* 💡 **Subnet Calculation**: + * Available hosts = 2^(32-prefix) - 2 + * Example: /24 network has 2^(32-24) - 2 = 254 usable addresses + +🔗 **Resources:** +* [IP Subnet Calculator](https://www.site24x7.com/tools/ipv4-subnetcalculator.html) +* [AWS VPC Subnetting](https://docs.aws.amazon.com/vpc/latest/userguide/vpc-subnets-commands-example.html) +* [RFC 4632: CIDR Architecture](https://datatracker.ietf.org/doc/html/rfc4632) + +--- + +## 📍 Slide 4 – 🌐 DNS (Domain Name System) + +* 🔍 **DNS** = Domain Name System, the internet's "phone book" that translates human-readable domain names to IP addresses. +* 🧩 **Key Components**: + * **Name Servers**: Store DNS records and respond to queries + * **Resolvers**: Client-side components that query name servers + * **Zones**: Administrative spaces within DNS hierarchy + * **Root Servers**: Top of DNS hierarchy, direct to TLD servers +* 🔄 **Resolution Process**: When you access a website, your computer uses DNS to find its IP address through a multi-step lookup process. +* ⏱️ **Caching**: DNS responses are cached at multiple levels to improve performance. + +**DNS Resolution Process** +```mermaid +sequenceDiagram + participant Client as 💻 Client + participant Resolver as 🔍 DNS Resolver + participant Root as 🌱 Root Servers + participant TLD as 🏢 TLD Servers (.com) + participant Auth as 🔐 Authoritative Servers + + Client->>Resolver: Query: example.com? + Note over Resolver: Check cache first + Resolver->>Root: Where is .com? + Root->>Resolver: TLD server for .com + Resolver->>TLD: Where is example.com? + TLD->>Resolver: Auth server for example.com + Resolver->>Auth: IP for example.com? + Auth->>Resolver: 93.184.216.34 + Resolver->>Client: example.com = 93.184.216.34 +``` + +* 🧰 **Common DNS Record Types**: + * **A**: Maps hostname to IPv4 address + * **AAAA**: Maps hostname to IPv6 address + * **CNAME**: Creates an alias from one domain to another + * **MX**: Specifies mail servers for a domain + * **TXT**: Stores text information (often used for verification) + * **SRV**: Service records for specific services + * **NS**: Delegates a DNS zone to specific name servers + +* 🛠️ **DevOps DNS Applications**: + * **Service Discovery**: Finding services in microservice architectures + * **Canary Deployments**: Gradually shifting traffic using DNS weights + * **Disaster Recovery**: Failover to backup infrastructure + * **Geographic Routing**: Directing users to nearest data center + +```bash +# 🧪 DNS command line tools +# Query A record +dig example.com A + +# Query all records +dig example.com ANY + +# Reverse DNS lookup +dig -x 93.184.216.34 + +# Trace DNS resolution path +dig +trace example.com +``` + +🔗 **Resources:** +* [Cloudflare DNS Learning](https://www.cloudflare.com/learning/dns/what-is-dns/) +* [DNS for Rocket Scientists](http://www.zytrax.com/books/dns/) +* [AWS Route 53 Documentation](https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/Welcome.html) + +--- + +## 📍 Slide 5 – 🌍 HTTP & HTTPS + +* 🌐 **HTTP** = HyperText Transfer Protocol, the foundation of data communication on the web. +* 🔒 **HTTPS** = HTTP Secure, encrypted version of HTTP using TLS (Transport Layer Security). +* 📚 **Historical Context**: HTTP was created by Tim Berners-Lee in 1989, HTTPS added in 1994 by Netscape. +* 🔄 **Request-Response Model**: Client sends request, server sends back response with status code and data. + +**HTTP vs HTTPS** +```mermaid +sequenceDiagram + participant Client as 💻 Client + participant Server as 🖥️ Server + + %% HTTP Flow + Note over Client,Server: HTTP (Unencrypted) + Client->>Server: GET /index.html HTTP/1.1 + Note right of Client: Plain text request + Server->>Client: HTTP/1.1 200 OK + Note left of Server: Plain text response + + %% HTTPS Flow + Note over Client,Server: HTTPS (TLS Encrypted) + Client->>Server: TLS Handshake + Server->>Client: Server Certificate + Note over Client,Server: Establish encrypted session + Client->>Server: GET /index.html HTTP/1.1 (encrypted) + Server->>Client: HTTP/1.1 200 OK (encrypted) +``` + +* 📋 **HTTP Methods**: + * **GET**: Retrieve data + * **POST**: Submit data + * **PUT**: Update/replace data + * **DELETE**: Remove data + * **PATCH**: Partially update data + * **OPTIONS**: Get supported methods + * **HEAD**: Get headers only + +* 📊 **Common Status Codes**: + * **2xx**: Success (200 OK, 201 Created, 204 No Content) + * **3xx**: Redirection (301 Moved Permanently, 302 Found) + * **4xx**: Client Error (400 Bad Request, 401 Unauthorized, 404 Not Found) + * **5xx**: Server Error (500 Internal Server Error, 503 Service Unavailable) + +* 🛠️ **DevOps Applications**: + * **API Design**: RESTful services, microservices communication + * **Health Checks**: Monitoring endpoint availability + * **Load Balancing**: Distribution based on HTTP paths + * **Security**: TLS configuration, headers, CORS policies + +```bash +# 🧪 HTTP request examples with curl +# Basic GET request +curl -v https://example.com + +# POST request with JSON data +curl -X POST -H "Content-Type: application/json" \ + -d '{"key":"value"}' https://api.example.com/data + +# Testing with specific HTTP headers +curl -H "Authorization: Bearer token123" https://api.example.com/protected +``` + +🔗 **Resources:** +* [MDN HTTP Documentation](https://developer.mozilla.org/en-US/docs/Web/HTTP) +* [RESTful API Design Best Practices](https://restfulapi.net/) +* [OWASP HTTPS Best Practices](https://cheatsheetseries.owasp.org/cheatsheets/Transport_Layer_Protection_Cheat_Sheet.html) + +--- + +## 📍 Slide 6 – 🔌 Load Balancing + +* ⚖️ **Load Balancer** = a device or service that distributes network traffic across multiple servers to ensure reliability, availability, and optimal performance. +* 🔄 **Benefits**: + * **High Availability**: Prevents single points of failure + * **Scalability**: Handles increased traffic by adding servers + * **Flexibility**: Enables maintenance without downtime + * **Health Monitoring**: Detects and routes around failed servers + +**Load Balancer Types** +```mermaid +flowchart TB + Client["👥 Client Requests"] --> LB["⚖️ Load Balancer"] + + subgraph "Layer 4 (Transport Layer)" + L4["TCP/UDP Load Balancing\nSimple and Fast\nNo content inspection"] + end + + subgraph "Layer 7 (Application Layer)" + L7["HTTP/HTTPS Load Balancing\nContent-Aware\nRoute by path/headers"] + end + + LB --> L4 + LB --> L7 + + L4 --> S1["🖥️ Server 1"] + L4 --> S2["🖥️ Server 2"] + L7 --> S3["🖥️ API Server"] + L7 --> S4["🖥️ Static Content Server"] +``` + +* 🧮 **Load Balancing Algorithms**: + * **Round Robin**: Cycles through servers sequentially + * **Least Connections**: Sends to server with fewest active connections + * **Weighted**: Assigns traffic based on server capacity + * **IP Hash**: Routes based on client IP address (session persistence) + * **URL Hash**: Routes based on requested URL (content consistency) + +* 🛠️ **Popular Load Balancer Solutions**: + * **Hardware**: F5 BIG-IP, Citrix ADC + * **Software**: HAProxy, Nginx, Traefik + * **Cloud Services**: AWS ELB/ALB/NLB, Google Cloud Load Balancing, Azure Load Balancer + +* 💡 **DevOps Considerations**: + * **Automation**: Define load balancers as code (Infrastructure as Code) + * **Auto-Scaling**: Dynamically adjust server pools based on load + * **Blue/Green Deployments**: Shift traffic between environments + * **Canary Releases**: Gradually increase traffic to new versions + * **SSL Termination**: Offload encryption/decryption to save server resources + +🔗 **Resources:** +* [NGINX Load Balancing Guide](https://www.nginx.com/resources/glossary/load-balancing/) +* [HAProxy Documentation](https://www.haproxy.com/documentation/hapee/latest/) +* [AWS Elastic Load Balancing](https://aws.amazon.com/elasticloadbalancing/) + +--- + +## 📍 Slide 7 – 🧩 Network Segmentation + +* 🧱 **Network Segmentation** = dividing a network into smaller, isolated sections to improve security, performance, and manageability. +* 🔒 **Zero Trust Principle**: "Never trust, always verify" — treat all network traffic as potentially hostile. +* 🎯 **Key Benefits**: + * **Security**: Limits lateral movement during breaches + * **Performance**: Reduces broadcast traffic and congestion + * **Compliance**: Helps meet regulatory requirements (PCI-DSS, HIPAA) + * **Isolation**: Separates development, testing, and production environments + +**Network Segmentation in Cloud Architecture** +```mermaid +graph LR + Internet["🌐 Internet"] --> LB["⚖️ Load Balancer"] + + subgraph "Public Subnet" + LB --> WAF["🛡️ Web Application Firewall"] + WAF --> Web["🖥️ Web Servers"] + end + + subgraph "Application Subnet" + Web --> App["📱 Application Servers"] + end + + subgraph "Database Subnet" + App --> DB["💾 Database Servers"] + end + + subgraph "Management Subnet" + Bastion["🔑 Bastion Host"] + Monitoring["📊 Monitoring"] + end + + Internet --> |Restricted Access| Bastion + Bastion --> Web + Bastion --> App + Bastion --> DB + App --> Monitoring +``` + +* 🧩 **Common Segmentation Technologies**: + * **VLANs** = Virtual Local Area Networks, segmentation at Layer 2 + * **Subnets** = IP-based segmentation at Layer 3 + * **VRFs** = Virtual Routing and Forwarding, isolated routing tables + * **VPCs** = Virtual Private Clouds, isolated cloud networks + * **Security Groups/NACLs** = Traffic filtering at instance/subnet level + * **Microsegmentation** = Fine-grained policies at workload level + +* 🛠️ **DevOps Implementation Examples**: + * **Multi-tier Application**: Web servers in public subnet, application servers in private subnet, databases in isolated subnet + * **Microservices Architecture**: Each service in its own segment with controlled communication + * **Development Environments**: Separate VPCs or subnets for dev, staging, production + * **Compliance Zones**: Isolated segments for PCI/HIPAA workloads + + +🔗 **Resources:** +* [NIST Network Segmentation Guidelines](https://csrc.nist.gov/publications/detail/sp/800-207/final) +* [AWS VPC Design Best Practices](https://docs.aws.amazon.com/vpc/latest/userguide/vpc-design-patterns.html) +* [Zero Trust Architecture](https://www.ncsc.gov.uk/collection/zero-trust-architecture) + +--- + +## 📍 Slide 8 – 🔒 Firewalls & Network Security + +* 🛡️ **Firewall** = a network security device or software that monitors and filters incoming and outgoing network traffic based on predefined rules. +* 🔄 **Evolution**: From simple packet filters to sophisticated next-generation firewalls with deep packet inspection. +* 📝 **Types of Firewalls**: + * **Packet Filtering**: Examines packets against rules (IP, port, protocol) + * **Stateful Inspection**: Tracks active connections, more context-aware + * **Application Layer (Layer 7)**: Understands application protocols, can filter specific content + * **Next-Gen Firewalls (NGFW)**: Combines traditional with IDS/IPS, deep inspection + * **Web Application Firewalls (WAF)**: Specifically protects web applications from attacks + +**Firewall Implementation in Modern Architecture** +```mermaid +flowchart LR + Internet["🌐 Internet"] --> Edge["🛡️ Edge Firewall\n(Network Perimeter)"] + + subgraph "Cloud Infrastructure" + Edge --> WAF["🔍 WAF\n(HTTP/HTTPS Traffic)"] + WAF --> LB["⚖️ Load Balancer"] + + subgraph "Security Groups" + LB --> SG1["🔒 Web Tier SG\n(Port 80, 443)"] + SG1 --> SG2["🔒 App Tier SG\n(Port 8080)"] + SG2 --> SG3["🔒 DB Tier SG\n(Port 3306)"] + end + end + + Edge --> VPN["🔑 VPN Gateway"] + VPN --> Admin["👨‍💻 Admin Access"] +``` + +* 🧰 **Key Concepts**: + * **Access Control Lists (ACLs)**: Rules defining allowed/denied traffic + * **Default Deny**: Safest policy - block everything not explicitly allowed + * **Defense in Depth**: Multiple security layers for better protection + * **Egress Filtering**: Restricting outbound traffic to prevent data exfiltration + +* 🛠️ **DevOps Implementation**: + * **Infrastructure as Code (IaC)**: Define firewall rules in code (Terraform, CloudFormation) + * **CI/CD Pipeline Security**: Scan infrastructure code for security misconfigurations + * **Automated Compliance Checks**: Ensure firewall rules meet security standards + * **Logging & Monitoring**: Track and alert on suspicious traffic patterns + +* 🔍 **Common Security Testing Tools**: + * **nmap**: Network discovery and security auditing + * **OpenVAS**: Vulnerability scanning + * **AWS Config**: Continuous auditing of AWS resources + * **Cloud Security Posture Management (CSPM)**: Automated security assessment + +* ⚠️ **Common Firewall Misconfigurations**: + * Overly permissive rules (e.g., 0.0.0.0/0) + * Excessive open ports + * Lack of egress filtering + * Inconsistent rule management across environments + +🔗 **Resources:** +* [NIST Firewall Guidelines](https://nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800-41r1.pdf) +* [AWS Network Firewall](https://aws.amazon.com/network-firewall/) +* [OWASP Web Application Firewall Guide](https://owasp.org/www-community/Web_Application_Firewall) + +--- + +## 📍 Slide 9 – 🔑 TLS & Certificate Management + +* 🔐 **TLS** = Transport Layer Security, cryptographic protocol that secures communications over networks (successor to SSL). +* 📜 **Digital Certificate** = electronic document that uses a digital signature to bind a public key with an identity. +* 🏗️ **PKI** = Public Key Infrastructure, framework that manages digital keys and certificates for secure communications. +* 📚 **Historical Context**: SSL was developed by Netscape in 1994, TLS 1.0 was released in 1999, TLS 1.3 became standard in 2018. + +**TLS Handshake Process** +```mermaid +sequenceDiagram + participant Client as 💻 Client Browser + participant Server as 🖥️ Web Server + participant CA as 🏛️ Certificate Authority + + Client->>Server: ClientHello (supported cipher suites) + Server->>Client: ServerHello + Certificate + Note over Client: Verify certificate with CA + Client->>CA: Certificate validation request + CA->>Client: Certificate status (valid/invalid) + Client->>Server: ClientKeyExchange (encrypted pre-master secret) + Note over Client,Server: Both derive session keys + Client->>Server: Finished (encrypted with session key) + Server->>Client: Finished (encrypted with session key) + Note over Client,Server: Secure communication established +``` + +* 🧩 **Certificate Components**: + * **Subject**: Entity the certificate identifies (domain name, organization) + * **Public Key**: Used for encryption and digital signatures + * **Issuer**: Certificate Authority that signed the certificate + * **Validity Period**: Start and expiration dates + * **Digital Signature**: CA's signature proving authenticity + * **Subject Alternative Names (SAN)**: Additional domains covered by certificate + +* 🛠️ **DevOps Certificate Management**: + * **Automation**: Use tools like cert-bot, AWS Certificate Manager, Let's Encrypt + * **Rotation**: Regularly replace certificates before expiration + * **Monitoring**: Alert on certificate expiration dates + * **Wildcard Certificates**: Cover multiple subdomains (*.example.com) + +🔗 **Resources:** +* [Let's Encrypt Documentation](https://letsencrypt.org/docs/) +* [OWASP TLS Configuration Guide](https://cheatsheetseries.owasp.org/cheatsheets/Transport_Layer_Protection_Cheat_Sheet.html) +* [RFC 8446: TLS 1.3 Specification](https://datatracker.ietf.org/doc/html/rfc8446) + +--- + +## 📍 Slide 10 – 🕵️ Network Monitoring & Troubleshooting + +* 📊 **Network Monitoring** = continuous observation of network performance, availability, and security to ensure optimal operations. +* 🔍 **Key Metrics to Monitor**: + * **Latency**: Time for data to travel from source to destination + * **Throughput**: Amount of data transferred per unit time + * **Packet Loss**: Percentage of packets that fail to reach destination + * **Bandwidth Utilization**: How much of available capacity is being used + * **Error Rates**: Network errors, retransmissions, and failures + +**Network Monitoring Architecture** +```mermaid +flowchart TB + subgraph "Network Infrastructure" + Router["🌐 Router"] + Switch["🔌 Switch"] + Server["🖥️ Servers"] + LB["⚖️ Load Balancer"] + end + + subgraph "Monitoring Tools" + SNMP["📡 SNMP Collector"] + Flow["🌊 NetFlow Analyzer"] + Agent["👁️ Monitoring Agents"] + Synthetic["🤖 Synthetic Tests"] + end + + subgraph "Analysis & Alerting" + Dashboard["📊 Dashboards"] + Alerts["🚨 Alert Manager"] + Logs["📝 Log Aggregation"] + end + + Router --> SNMP + Switch --> Flow + Server --> Agent + LB --> Synthetic + + SNMP --> Dashboard + Flow --> Dashboard + Agent --> Dashboard + Synthetic --> Alerts + + Dashboard --> Alerts + Alerts --> Logs +``` + +* 🛠️ **Popular Monitoring Tools**: + * **Open Source**: Nagios, Zabbix, LibreNMS, Cacti, Pandora FMS + * **Commercial**: SolarWinds, PRTG, ManageEngine OpManager + * **Cloud-based**: DataDog, New Relic, AWS CloudWatch, Azure Monitor + * **Specialized**: Wireshark (packet analysis), ntopng (traffic analysis) + +* 🔍 **Advanced Troubleshooting Techniques**: + * **Packet Capture**: Use tcpdump or Wireshark to analyze traffic + * **MTU Discovery**: Test maximum transmission unit issues + * **Bandwidth Testing**: Use iperf3 for throughput testing + * **Latency Analysis**: Measure round-trip times and jitter + +* 📈 **DevOps Monitoring Integration**: + * **Prometheus + Grafana**: Metrics collection and visualization + * **ELK Stack**: Elasticsearch, Logstash, Kibana for log analysis + * **Infrastructure as Code**: Define monitoring configurations in code + * **Automated Remediation**: Trigger actions based on alerts + +🔗 **Resources:** +* [Wireshark Documentation](https://www.wireshark.org/docs/) +* [Prometheus Network Monitoring](https://prometheus.io/docs/guides/network-monitoring/) +* [AWS Network Monitoring](https://docs.aws.amazon.com/vpc/latest/userguide/vpc-monitoring.html) + +--- + +## 📍 Slide 11 – 🛡️ VPNs & Secure Tunneling + +* 🔒 **VPN** = Virtual Private Network, creates secure, encrypted connections over public networks. +* 🌐 **Purpose**: Extend private networks across public infrastructure while maintaining security and privacy. +* 📚 **Historical Context**: VPNs emerged in 1990s as businesses needed secure remote access; became essential for remote work. + +**VPN Types and Architecture** +```mermaid +flowchart TB + subgraph "Site-to-Site VPN" + Office1["🏢 Main Office\nNetwork: 10.1.0.0/16"] + Office2["🏢 Branch Office\nNetwork: 10.2.0.0/16"] + Office1 <--> |"🔒 Encrypted Tunnel"| Office2 + end + + subgraph "Remote Access VPN" + Remote["💻 Remote Worker"] + VPNServer["🔐 VPN Server"] + Corporate["🏢 Corporate Network"] + Remote --> |"🔒 Encrypted Connection"| VPNServer + VPNServer --> Corporate + end + + subgraph "Cloud VPN" + OnPrem["🏢 On-Premises"] + CloudGW["☁️ Cloud VPN Gateway"] + VPC["☁️ Virtual Private Cloud"] + OnPrem <--> |"🔒 IPsec Tunnel"| CloudGW + CloudGW --> VPC + end +``` + +* 🧩 **VPN Types**: + * **Site-to-Site VPN**: Connects entire networks (office-to-office, office-to-cloud) + * **Remote Access VPN**: Individual users connect to corporate network + * **SSL/TLS VPN**: Browser-based access, no client software required + * **IPsec VPN**: Network layer encryption, typically for site-to-site + * **WireGuard**: Modern, lightweight VPN protocol with improved performance + +* 🛠️ **Popular VPN Solutions**: + * **Open Source**: OpenVPN, strongSwan, WireGuard, SoftEther + * **Commercial**: Cisco AnyConnect, Palo Alto GlobalProtect, Fortinet FortiClient + * **Cloud Services**: AWS VPN, Azure VPN Gateway, Google Cloud VPN + * **Managed Services**: NordLayer, Perimeter 81, Twingate + +* 🔐 **VPN Protocols Comparison**: + * **OpenVPN**: Highly configurable, works over TCP/UDP, wide platform support + * **IPsec**: Industry standard, built into many devices, excellent security + * **WireGuard**: Modern, fast, simple configuration, smaller codebase + * **SSTP**: Microsoft's SSL-based protocol, good for Windows environments + +* 🔍 **VPN Security Best Practices**: + * **Strong Authentication**: Multi-factor authentication, certificate-based auth + * **Regular Key Rotation**: Replace certificates and pre-shared keys periodically + * **Split Tunneling Control**: Carefully configure which traffic uses VPN + * **Monitoring**: Log and monitor VPN connections for security events + * **Keep Updated**: Regular updates for VPN software and firmware + +🔗 **Resources:** +* [OpenVPN Documentation](https://openvpn.net/community-resources/) +* [WireGuard Whitepaper](https://www.wireguard.com/papers/wireguard.pdf) +* [AWS VPN Documentation](https://docs.aws.amazon.com/vpn/) + +--- + +## 📍 Slide 12 – 🐧 Linux History & Distributions + +* 🌟 **Linux** = open-source Unix-like operating system kernel created by Linus Torvalds in 1991. +* 📚 **Historical Timeline**: + * **1969**: Unix created at Bell Labs by Ken Thompson and Dennis Ritchie + * **1983**: GNU Project started by Richard Stallman (free Unix-like system) + * **1991**: Linux kernel (0.02) released by Linus Torvalds + * **1992**: Linux combined with GNU tools creates complete OS + * **1993**: Debian founded, **1994**: Red Hat founded + * **2004**: Ubuntu released, making Linux more user-friendly + +**Linux Family Tree** +```mermaid +flowchart TD + Unix["🏛️ Unix (1969)\nBell Labs"] --> GNU["🆓 GNU Project (1983)\nRichard Stallman"] + Unix --> BSD["🔱 BSD (1977)\nBerkeley"] + + GNU --> Linux["🐧 Linux Kernel (1991)\nLinus Torvalds"] + + Linux --> Debian["📦 Debian (1993)"] + Linux --> RedHat["🎩 Red Hat (1994)"] + Linux --> SUSE["🦎 SUSE (1994)"] + + Debian --> Ubuntu["🟠 Ubuntu (2004)"] + Debian --> Mint["🍃 Linux Mint"] + + RedHat --> Fedora["🎩 Fedora"] + RedHat --> CentOS["💼 CentOS"] + RedHat --> RHEL["🏢 RHEL"] + + SUSE --> OpenSUSE["🦎 openSUSE"] + + Ubuntu --> Elementary["⭐ elementary OS"] + Ubuntu --> PopOS["🎮 Pop!_OS"] + + Independent["🔧 Independent"] --> Arch["🏹 Arch Linux"] + Independent --> Gentoo["🧬 Gentoo"] + Independent --> Alpine["🏔️ Alpine Linux"] + + Arch --> Manjaro["🌿 Manjaro"] +``` + +* 🧩 **Major Distribution Families**: + * **Debian-based**: Debian, Ubuntu, Linux Mint, elementary OS + * Package Manager: APT (Advanced Package Tool) + * File format: .deb + * **Red Hat-based**: RHEL, Fedora, CentOS, Rocky Linux + * Package Manager: YUM/DNF (Yellowdog Updater Modified/Dandified YUM) + * File format: .rpm + * **SUSE-based**: openSUSE, SUSE Linux Enterprise + * Package Manager: Zypper + * File format: .rpm + * **Arch-based**: Arch Linux, Manjaro + * Package Manager: Pacman + * File format: .pkg.tar.xz + +* 🛠️ **DevOps-Friendly Distributions**: + * **Ubuntu LTS**: Most popular for servers, extensive documentation, long support + * **CentOS/Rocky Linux**: Enterprise stability, RHEL compatibility + * **Alpine Linux**: Minimal, security-focused, popular for containers + * **Amazon Linux**: Optimized for AWS, includes AWS CLI and tools + * **CoreOS/Flatcar**: Container-optimized, immutable infrastructure + +* 🏗️ **Choosing a Linux Distribution for DevOps**: + * **Stability**: LTS versions for production (Ubuntu LTS, RHEL, SLES) + * **Package Availability**: Consider software ecosystem and third-party support + * **Documentation**: Community size and enterprise support + * **Security Updates**: Frequency and reliability of security patches + * **Container Support**: Docker, Podman, containerd compatibility + * **Cloud Integration**: Native cloud provider tools and optimizations + +* 💡 **Modern Trends**: + * **Immutable Infrastructure**: CoreOS, Flatcar Linux, NixOS + * **Container-Optimized**: Minimal distributions for container workloads + * **Cloud-Native**: Distributions designed for cloud environments + * **Hybrid Approaches**: Traditional distributions with container/cloud enhancements + +🔗 **Resources:** +* [Linux Foundation](https://www.linuxfoundation.org/) +* [DistroWatch](https://distrowatch.com/) - Linux distribution tracking +* [Ubuntu Server Documentation](https://ubuntu.com/server/docs) +* [Red Hat Enterprise Linux Documentation](https://access.redhat.com/documentation/en-us/red_hat_enterprise_linux/) + +--- + +## 📍 Slide 13 – 💻 Linux File System Hierarchy + +* 🗂️ **File System Hierarchy Standard (FHS)** = standardized directory structure for Unix and Linux systems, ensuring consistency across distributions. +* 🌳 **Everything is a File**: In Linux, devices, processes, and system information are represented as files in the filesystem. +* 📚 **Historical Context**: FHS was created to standardize Unix systems, current version 3.0 released in 2015. + +**Linux Directory Structure** +```mermaid +flowchart TD + Root["/ 🌳 Root Directory"] + + Root --> bin["📦 /bin\nEssential user binaries"] + Root --> boot["🚀 /boot\nBoot loader files"] + Root --> dev["⚡ /dev\nDevice files"] + Root --> etc["⚙️ /etc\nSystem configuration"] + Root --> home["🏠 /home\nUser directories"] + Root --> lib["📚 /lib\nShared libraries"] + Root --> media["💿 /media\nRemovable media"] + Root --> mnt["🔧 /mnt\nTemporary mounts"] + Root --> opt["📦 /opt\nOptional software"] + Root --> proc["🔍 /proc\nProcess information"] + Root --> root["👑 /root\nRoot user home"] + Root --> run["🏃 /run\nRuntime data"] + Root --> sbin["🔧 /sbin\nSystem binaries"] + Root --> srv["🌐 /srv\nService data"] + Root --> sys["💻 /sys\nSystem information"] + Root --> tmp["🗑️ /tmp\nTemporary files"] + Root --> usr["👥 /usr\nUser programs"] + Root --> var["📊 /var\nVariable data"] + + usr --> usrbin["📦 /usr/bin\nUser binaries"] + usr --> usrlib["📚 /usr/lib\nUser libraries"] + usr --> usrlocal["🏠 /usr/local\nLocal software"] + + var --> varlog["📝 /var/log\nSystem logs"] + var --> varwww["🌐 /var/www\nWeb content"] + var --> varlib["💾 /var/lib\nApplication data"] +``` + +* 📂 **Key Directory Purposes**: + * **/bin**: Essential command binaries (ls, cp, mv, bash) + * **/boot**: Boot loader files, kernel images, initrd + * **/dev**: Device files (hard drives, USB devices, terminals) + * **/etc**: System-wide configuration files and scripts + * **/home**: User home directories (/home/username) + * **/lib**: Shared libraries needed by binaries in /bin and /sbin + * **/media**: Mount points for removable media (CD-ROM, USB drives) + * **/mnt**: Temporary mount point for filesystems + * **/opt**: Optional application software packages + * **/proc**: Virtual filesystem providing process and kernel information + * **/root**: Root user's home directory + * **/run**: Runtime data (PID files, sockets, locks) + * **/sbin**: System binaries (administration commands) + * **/srv**: Service data (web servers, FTP servers) + * **/sys**: Virtual filesystem for system and hardware information + * **/tmp**: Temporary files (cleared on reboot) + * **/usr**: Secondary hierarchy for user programs + * **/var**: Variable data (logs, caches, databases) + +* 🛠️ **Important DevOps Directories**: + * **/etc/**: Configuration files for services, network, users + * `/etc/nginx/`, `/etc/apache2/`, `/etc/ssh/`, `/etc/systemd/` + * **/var/log/**: System and application logs + * `/var/log/messages`, `/var/log/nginx/`, `/var/log/auth.log` + * **/var/www/**: Default web server document root + * **/opt/**: Third-party applications (Docker, monitoring tools) + * **/usr/local/**: Locally compiled software and scripts + * **/home/**: User-specific configurations and data + +* 📁 **Mount Points and Filesystems**: + * **Root Filesystem (/)**: Contains the entire directory hierarchy + * **Separate Partitions**: Common to separate `/var`, `/tmp`, `/home` + * **Network Filesystems**: NFS, CIFS/SMB mounts + * **Virtual Filesystems**: `/proc`, `/sys`, `/dev` - not stored on disk + +* 🔍 **DevOps File System Monitoring**: + * **Disk Usage**: Monitor `/var/log`, `/tmp`, database directories + * **Inode Usage**: Track file count limits + * **Mount Point Availability**: Ensure critical mounts are accessible + * **Permission Issues**: Check ownership and permissions + +🔗 **Resources:** +* [Filesystem Hierarchy Standard](https://refspecs.linuxfoundation.org/FHS_3.0/fhs/index.html) +* [Linux Directory Structure Explained](https://www.geeksforgeeks.org/linux-directory-structure/) +* [Ubuntu Filesystem Layout](https://help.ubuntu.com/community/LinuxFilesystemTreeOverview) + +--- + +## 📍 Slide 14 – 👨‍💻 Shell Environments & Scripting + +* 🐚 **Shell** = command-line interface that interprets and executes user commands, acts as bridge between user and operating system kernel. +* 💻 **Popular Shells**: + * **Bash** = Bourne Again Shell (most common, default on most Linux distributions) + * **Zsh** = Z Shell (feature-rich, popular with developers, default on macOS) + * **Fish** = Friendly Interactive Shell (user-friendly, syntax highlighting) + * **Dash** = Debian Almquist Shell (lightweight, POSIX-compliant) +* 📚 **Historical Context**: Original shell (sh) created in 1971, Bash released in 1989, became GNU replacement for Bourne shell. + +**Shell Environment Architecture** +```mermaid +flowchart LR + User["👤 User"] --> Shell["🐚 Shell\n(bash/zsh/fish)"] + + Shell --> Built["🔧 Built-in Commands\n(cd, echo, export)"] + Shell --> External["📦 External Programs\n(ls, grep, awk)"] + Shell --> Scripts["📜 Shell Scripts\n(.sh files)"] + + subgraph "Environment" + Vars["🔤 Variables\n(PATH, HOME, USER)"] + Aliases["🏷️ Aliases\n(ll, grep --color)"] + Functions["⚙️ Functions\n(Custom commands)"] + History["📚 Command History"] + end + + Shell --> Vars + Shell --> Aliases + Shell --> Functions + Shell --> History + + Built --> Kernel["🧠 Linux Kernel"] + External --> Kernel + Scripts --> Kernel +``` + +* 🛠️ **Shell Configuration Files**: + * **System-wide**: `/etc/bash.bashrc`, `/etc/profile`, `/etc/environment` + * **User-specific**: `~/.bashrc`, `~/.bash_profile`, `~/.zshrc`, `~/.profile` + * **Login vs Non-login**: Different files loaded based on session type + * **Interactive vs Non-interactive**: Scripts may behave differently than interactive sessions + +```bash +# 🧪 Shell environment management +# View current shell +echo $SHELL +echo $0 + +# View environment variables +env # All environment variables +echo $PATH # PATH variable +echo $HOME # Home directory +echo $USER # Current user + +# Set variables +export MY_VAR="Hello World" # Environment variable +MY_LOCAL_VAR="Local only" # Shell variable + +# View shell options +set -o # Show all options +set -e # Exit on error +set -u # Exit on undefined variable +set -x # Debug mode (print commands) + +# Command history +history # Show command history +!123 # Run command 123 from history +!! # Run last command +Ctrl+R # Search history interactively +``` + +* 🛡️ **Shell Security Best Practices**: + * **Quote Variables**: Always quote variables to prevent word splitting + * **Validate Input**: Check user input and command-line arguments + * **Use Full Paths**: Specify full paths for critical commands + * **Set Safe Options**: Use `set -euo pipefail` for robust scripts + * **Avoid eval**: Don't use `eval` with untrusted input + +🔗 **Resources:** +* [Bash Manual](https://www.gnu.org/software/bash/manual/) +* [ShellCheck - Shell Script Linter](https://www.shellcheck.net/) +* [Advanced Bash-Scripting Guide](https://tldp.org/LDP/abs/html/) +* [Oh My Zsh Framework](https://ohmyz.sh/) + +--- + +## 📍 Slide 15 – 📂 File Management & Text Processing + +* 📁 **File Operations** = fundamental Linux skills for managing files, directories, and text content efficiently. +* 🔍 **Text Processing** = Linux provides powerful command-line tools for searching, filtering, and manipulating text data. +* 📚 **Unix Philosophy**: "Do one thing and do it well" - combine simple tools to solve complex problems. + +**File Operations Workflow** +```mermaid +flowchart LR + Create["📝 Create\n(touch, mkdir)"] --> View["👁️ View\n(cat, less, head, tail)"] + View --> Edit["✏️ Edit\n(nano, vim, sed)"] + Edit --> Copy["📋 Copy\n(cp, rsync)"] + Copy --> Move["🚚 Move\n(mv, rename)"] + Move --> Search["🔍 Search\n(find, grep, locate)"] + Search --> Process["⚙️ Process\n(awk, sort, uniq)"] + Process --> Archive["📦 Archive\n(tar, gzip, zip)"] + Archive --> Permissions["🔐 Permissions\n(chmod, chown)"] + Permissions --> Delete["🗑️ Delete\n(rm, rmdir)"] +``` + +🔗 **Resources:** +* [GNU Coreutils Manual](https://www.gnu.org/software/coreutils/manual/) +* [Advanced Linux Commands Guide](https://www.cyberciti.biz/tips/top-linux-monitoring-tools.html) + +--- + +## 📍 Slide 16 – 👤 User & Group Management + +* 👥 **User Management** = creating, modifying, and controlling user accounts and their access to system resources. +* 🏢 **Group Management** = organizing users into groups for easier permission management and resource sharing. +* 🔐 **Authentication vs Authorization**: Authentication verifies identity, authorization determines access rights. +* 📚 **Historical Context**: Unix multi-user design from 1970s, where multiple users shared expensive mainframe computers. + +**Linux User and Group Architecture** +```mermaid +flowchart TB + subgraph "System Users" + Root["👑 root (UID 0)\nSuperuser"] + System["🤖 System Users\n(UID 1-999)\nnginx, mysql, www-data"] + end + + subgraph "Regular Users" + Users["👤 Regular Users\n(UID 1000+)\njohn, mary, admin"] + end + + subgraph "Groups" + PrimaryG["🏠 Primary Groups\n(User's default group)"] + SecondaryG["🔗 Secondary Groups\n(Additional groups)"] + + PrimaryG --> wheel["⚙️ wheel\n(Admin access)"] + PrimaryG --> users["👥 users\n(Regular users)"] + + SecondaryG --> docker["🐳 docker\n(Docker access)"] + SecondaryG --> sudo["🔧 sudo\n(Sudo access)"] + SecondaryG --> www["🌐 www-data\n(Web server)"] + end + + Root --> PrimaryG + System --> PrimaryG + Users --> PrimaryG + Users --> SecondaryG +``` + +* 🗂️ **Key Files and Databases**: + * **/etc/passwd**: User account information (username, UID, GID, home directory, shell) + * **/etc/shadow**: Encrypted passwords and password policies + * **/etc/group**: Group information (group name, GID, group members) + * **/etc/gshadow**: Encrypted group passwords and administrators + * **/etc/sudoers**: Sudo access configuration + * **/etc/login.defs**: Default settings for user accounts + +* 🔢 **UID and GID Ranges**: + * **0**: Root user (superuser) + * **1-99**: System accounts (reserved) + * **100-999**: System users and groups (services, daemons) + * **1000-65533**: Regular users and groups + * **65534**: `nobody` user (unprivileged operations) + +* 🛠️ **DevOps User Management Best Practices**: + * **Service Accounts**: Create dedicated users for applications and services + * **Principle of Least Privilege**: Grant minimal necessary permissions + * **Group-based Access**: Use groups for permission management, not individual users + * **Password Policies**: Enforce strong passwords and regular rotation + * **SSH Key Authentication**: Prefer keys over passwords for automation + * **Monitoring**: Track user activities and login attempts + +* ⚠️ **Common Security Considerations**: + * **Disable unused accounts**: Lock or remove accounts no longer needed + * **Regular audits**: Review user accounts and permissions regularly + * **Strong authentication**: Implement multi-factor authentication where possible + * **Account expiration**: Set expiration dates for temporary accounts + * **Home directory permissions**: Secure user home directories + +🔗 **Resources:** +* [Linux User Management Guide](https://www.digitalocean.com/community/tutorials/how-to-add-and-delete-users-on-ubuntu-16-04) +* [Sudo Manual](https://www.sudo.ws/docs/man/1.8.17/sudoers.man.html) +* [Red Hat User Management](https://access.redhat.com/documentation/en-us/red_hat_enterprise_linux/8/html/configuring_basic_system_settings/managing-users-and-groups_configuring-basic-system-settings) + +--- + +## 📍 Slide 17 – 🔄 Process Management in Linux + +* ⚙️ **Process** = an instance of a running program with its own memory space, file descriptors, and execution context. +* 🔄 **Process Lifecycle**: Created → Running → Waiting/Sleeping → Zombie → Terminated +* 📊 **Process Hierarchy**: All processes descend from `init` (PID 1), forming a tree structure. +* 📚 **Historical Context**: Process concept introduced in early Unix (1970s), foundation of multitasking operating systems. + +**Process States and Transitions** +```mermaid +stateDiagram-v2 + [*] --> Created: fork() / exec() + Created --> Ready: Process scheduled + Ready --> Running: CPU assigned + Running --> Ready: Time slice expired + Running --> Waiting: I/O operation / system call + Waiting --> Ready: I/O complete / event occurs + Running --> Zombie: Process exits + Zombie --> [*]: Parent reads exit status + Running --> [*]: Killed by signal + + note right of Zombie + Process finished but + parent hasn't collected + exit status yet + end note +``` + +* 📊 **Common Linux Signals**: + * **SIGTERM (15)**: Polite termination request (default for `kill`) + * **SIGKILL (9)**: Force termination (cannot be ignored) + * **SIGHUP (1)**: Hangup, often used to reload configuration + * **SIGINT (2)**: Interrupt (Ctrl+C) + * **SIGSTOP (19)**: Pause process (cannot be ignored) + * **SIGCONT (18)**: Continue paused process + * **SIGUSR1/SIGUSR2 (10/12)**: User-defined signals + +**Process Management Tools Ecosystem** +```mermaid +flowchart LR + subgraph "Monitoring Tools" + ps["📋 ps\n(Process snapshot)"] + top["📊 top\n(Real-time monitoring)"] + htop["🎨 htop\n(Enhanced top)"] + pstree["🌳 pstree\n(Process tree)"] + end + + subgraph "Control Tools" + kill["💀 kill\n(Send signals)"] + killall["🔫 killall\n(Kill by name)"] + pkill["🎯 pkill\n(Kill by pattern)"] + jobs["👔 jobs\n(Job control)"] + end + + subgraph "Advanced Tools" + systemd["⚙️ systemd\n(Service management)"] + screen["🖥️ screen\n(Terminal multiplexer)"] + tmux["📺 tmux\n(Terminal multiplexer)"] + supervisor["👨‍💼 supervisord\n(Process supervisor)"] + end + + subgraph "System Info" + proc["/proc filesystem\n(Live system data)"] + sys["/sys filesystem\n(System information)"] + end + + ps --> proc + top --> proc + kill --> proc + systemd --> proc +``` + +* 🔧 **Advanced Process Management**: + * **Process Groups**: Related processes grouped together for signal handling + * **Sessions**: Collection of process groups, typically associated with terminal + * **Daemons**: Background processes that run independently of terminals + * **Init Systems**: Modern systems use systemd, older systems use SysV init + * **Cgroups**: Control groups for resource limitation and monitoring + +* ⚠️ **Common Issues and Troubleshooting**: + * **Zombie Processes**: Dead processes whose parent hasn't collected exit status + * **Process Leaks**: Applications creating too many child processes + * **Resource Exhaustion**: Processes consuming too much CPU/memory + * **Runaway Processes**: Infinite loops or recursive process creation + * **Signal Handling**: Processes not responding to termination signals + +🔗 **Resources:** +* [Linux Process Management Guide](https://www.kernel.org/doc/html/latest/admin-guide/process-management.html) +* [Understanding Linux Processes](https://www.digitalocean.com/community/tutorials/how-to-use-ps-kill-and-nice-to-manage-processes-in-linux) +* [Advanced Programming in Unix Environment](http://www.apue.com/) (Stevens & Rago) + +--- + +## 📍 Slide 18 – 🛠️ Systemd & Service Management + +* ⚙️ **systemd** = modern init system and service manager for Linux, replacing traditional SysV init. +* 🎯 **Features**: Parallel service startup, on-demand service activation, dependency management, logging integration. +* 📚 **Historical Context**: Created by Lennart Poettering (2010), adopted by major distributions since 2011, controversy due to "Unix philosophy" violations. +* 🔄 **Boot Process**: BIOS/UEFI → bootloader → kernel → systemd (PID 1) → services and targets + +**Systemd Architecture** +```mermaid +flowchart TB + subgraph "Systemd Core" + systemd["🎯 systemd\n(PID 1)"] --> manager["📋 System Manager"] + manager --> units["📦 Units"] + end + + subgraph "Unit Types" + service["🔧 .service\n(Services/Daemons)"] + target["🎯 .target\n(Groups of units)"] + mount["💾 .mount\n(File systems)"] + socket["🔌 .socket\n(Network sockets)"] + timer["⏰ .timer\n(Scheduled tasks)"] + device["🖥️ .device\n(Hardware devices)"] + end + + subgraph "System Targets" + multi["🖥️ multi-user.target\n(Multi-user mode)"] + graphical["🖼️ graphical.target\n(GUI mode)"] + rescue["🚑 rescue.target\n(Single user mode)"] + emergency["⚠️ emergency.target\n(Emergency mode)"] + end + + units --> service + units --> target + units --> mount + units --> socket + units --> timer + units --> device + + target --> multi + target --> graphical + target --> rescue + target --> emergency +``` + +* 🗂️ **Systemd Directory Structure**: + * **/lib/systemd/system/**: Distribution-provided unit files + * **/etc/systemd/system/**: System administrator unit files (override distribution) + * **/run/systemd/system/**: Runtime unit files + * **/home/user/.config/systemd/user/**: User-specific unit files + +* 🎯 **System Targets (Runlevels)**: + * **poweroff.target** (runlevel 0): System shutdown + * **rescue.target** (runlevel 1): Single-user mode + * **multi-user.target** (runlevel 3): Multi-user, no GUI + * **graphical.target** (runlevel 5): Multi-user with GUI + * **reboot.target** (runlevel 6): System restart + +🔗 **Resources:** +* [systemd Documentation](https://www.freedesktop.org/wiki/Software/systemd/) +* [systemd for Administrators Series](http://0pointer.de/blog/projects/systemd-for-admins-1.html) +* [Red Hat systemd Guide](https://access.redhat.com/documentation/en-us/red_hat_enterprise_linux/8/html/configuring_basic_system_settings/managing-services-with-systemd_configuring-basic-system-settings) + +--- + +## 📍 Slide 19 – 📊 Resource Monitoring & Performance + +* 📈 **System Monitoring** = continuous observation of system resources to ensure optimal performance and identify bottlenecks. +* 🎯 **Key Resources to Monitor**: CPU utilization, memory usage, disk I/O, network throughput, process counts. +* 📚 **Performance Metrics**: Load average, response time, throughput, error rates, resource saturation. +* 💡 **Historical Context**: System monitoring evolved from simple `ps` and `top` commands to sophisticated monitoring stacks like ELK, Prometheus/Grafana. + +**Linux Performance Monitoring Stack** +```mermaid +flowchart TB + subgraph "System Resources" + CPU["🧠 CPU\nUtilization, Load, Context Switches"] + Memory["💾 Memory\nRAM, Swap, Cache, Buffers"] + Disk["💿 Disk I/O\nRead/Write, IOPS, Latency"] + Network["🌐 Network\nBandwidth, Packets, Errors"] + end + + subgraph "Basic Tools" + top["📊 top/htop\nReal-time process view"] + vmstat["📈 vmstat\nVirtual memory stats"] + iostat["💾 iostat\nI/O statistics"] + netstat["🌐 netstat/ss\nNetwork statistics"] + end + + subgraph "Advanced Tools" + sar["📋 sar\nSystem activity reporter"] + perf["🔍 perf\nPerformance profiling"] + atop["⚡ atop\nAdvanced monitoring"] + iotop["💿 iotop\nI/O monitoring"] + end + + subgraph "Modern Monitoring" + prometheus["📊 Prometheus\nMetrics collection"] + grafana["📈 Grafana\nVisualization"] + elk["🔍 ELK Stack\nLogs and analytics"] + nagios["🚨 Nagios\nAlerting"] + end + + CPU --> top + Memory --> vmstat + Disk --> iostat + Network --> netstat + + top --> sar + vmstat --> atop + iostat --> iotop + netstat --> perf + + sar --> prometheus + atop --> grafana + iotop --> elk + perf --> nagios +``` + +* 📊 **Modern Monitoring Integration**: + * **Metrics Collection**: node_exporter, collectd, Telegraf + * **Time Series Databases**: Prometheus, InfluxDB, Graphite + * **Visualization**: Grafana, Kibana, custom dashboards + * **Alerting**: AlertManager, PagerDuty, Slack integration + * **Log Aggregation**: ELK stack, Fluentd, Loki + +🔗 **Resources:** +* [Linux Performance Tools](http://www.brendangregg.com/linuxperf.html) +* [Systems Performance by Brendan Gregg](http://www.brendangregg.com/systems-performance-2nd-edition-book.html) +* [Prometheus Monitoring Guide](https://prometheus.io/docs/guides/) + +--- + +## 📍 Slide 20 – 📝 Logging Systems + +* 📋 **System Logging** = structured recording of system events, errors, and activities for debugging, auditing, and monitoring. +* 🔄 **Modern Linux Logging**: Traditional syslog evolved to systemd journal, offering binary logs with rich metadata. +* 📚 **Historical Context**: Syslog protocol created in 1980s at UC Berkeley, RFC 3164 (2001), modern RFC 5424 (2009). +* 🎯 **Log Levels**: Emergency, Alert, Critical, Error, Warning, Notice, Info, Debug (RFC 5424 severity levels). + +**Linux Logging Architecture** +```mermaid +flowchart TB + subgraph "Log Sources" + kernel["🧠 Kernel\n(dmesg, /dev/kmsg)"] + systemd["⚙️ systemd services\n(journal)"] + apps["📱 Applications\n(custom logs)"] + syslog["📋 Syslog\n(/dev/log socket)"] + end + + subgraph "Log Processing" + journald["📖 systemd-journald\n(Binary logs)"] + rsyslog["📜 rsyslog\n(Text logs)"] + logrotate["🔄 logrotate\n(Log rotation)"] + end + + subgraph "Storage" + journal_storage["💾 /var/log/journal/\n(Binary format)"] + text_logs["📄 /var/log/\n(Text files)"] + remote["🌐 Remote syslog\n(Centralized)"] + end + + subgraph "Analysis Tools" + journalctl["🔍 journalctl\n(Journal viewer)"] + grep_tools["🔎 grep/awk/sed\n(Text processing)"] + elk["📊 ELK Stack\n(Elasticsearch)"] + splunk["💼 Splunk\n(Log analysis)"] + end + + kernel --> journald + systemd --> journald + apps --> rsyslog + syslog --> rsyslog + + journald --> journal_storage + rsyslog --> text_logs + rsyslog --> remote + + logrotate --> text_logs + + journal_storage --> journalctl + text_logs --> grep_tools + remote --> elk + remote --> splunk +``` + +* 🔧 **DevOps Logging Best Practices**: + * **Structured Logging**: Use JSON format for easier parsing + * **Log Levels**: Use appropriate severity levels + * **Correlation IDs**: Track requests across microservices + * **Centralization**: Aggregate logs from all systems + * **Retention Policies**: Define how long to keep logs + * **Security**: Protect logs from unauthorized access, avoid logging sensitive data + +🔗 **Resources:** +* [systemd Journal Documentation](https://www.freedesktop.org/software/systemd/man/systemd-journald.service.html) +* [Rsyslog Documentation](https://www.rsyslog.com/doc/) +* [ELK Stack Guide](https://www.elastic.co/what-is/elk-stack) +* [RFC 5424: The Syslog Protocol](https://tools.ietf.org/html/rfc5424) + +--- + +## 📍 Slide 21 – 📆 Scheduling & Automation + +* ⏰ **Task Scheduling** = automated execution of commands, scripts, or programs at predetermined times or intervals. +* 🔄 **Evolution**: From traditional cron to modern systemd timers, offering better integration and logging. +* 🎯 **Use Cases**: System maintenance, backups, log rotation, monitoring, data processing, deployment automation. + +**Linux Scheduling Systems** +```mermaid +flowchart TB + subgraph "Traditional Scheduling" + cron["⏰ Cron Daemon\n(crond)"] + crontab["📋 Crontab Files\n(/etc/crontab, user crontabs)"] + anacron["🔄 Anacron\n(catch up missed jobs)"] + end + + subgraph "Modern Scheduling" + systemd_timers["⚙️ Systemd Timers\n(timer units)"] + systemd_services["🔧 Systemd Services\n(service units)"] + end + + subgraph "Specialized Tools" + at["📅 at\n(one-time scheduling)"] + batch["📦 batch\n(load-dependent execution)"] + fcron["🎯 fcron\n(advanced cron)"] + end + + subgraph "Enterprise Solutions" + jenkins["🏗️ Jenkins\n(CI/CD scheduling)"] + airflow["🌊 Apache Airflow\n(workflow scheduling)"] + kubernetes["☸️ Kubernetes CronJobs\n(container scheduling)"] + end + + cron --> crontab + cron --> anacron + systemd_timers --> systemd_services + + crontab --> jenkins + systemd_timers --> kubernetes + at --> airflow +``` + +🔗 **Resources:** +* [Cron Expression Generator](https://crontab.guru/) +* [systemd.timer Manual](https://www.freedesktop.org/software/systemd/man/systemd.timer.html) + +--- + +## 📍 Slide 22 – 🔐 File Permissions & Ownership + +* 🛡️ **File Permissions** = access control mechanism that determines who can read, write, or execute files and directories. +* 👥 **Ownership Model**: Every file has an owner (user) and a group, forming the basis of Linux security. +* 📚 **Historical Context**: Unix permission system designed in 1970s, based on military security requirements, still fundamental to modern systems. +* 🎯 **Permission Types**: Read (r/4), Write (w/2), Execute (x/1) for User, Group, and Others. + +**Linux Permission Structure** +```mermaid +flowchart TB + subgraph "File Attributes" + file["📄 File: example.txt\n-rw-r--r-- 1 alice developers 1024 Jan 15 10:30"] + end + + subgraph "Permission Breakdown" + filetype["-\n(Regular file)"] + owner_perms["rw-\n(Owner: read+write)"] + group_perms["r--\n(Group: read only)"] + other_perms["r--\n(Others: read only)"] + links["1\n(Hard links)"] + owner["alice\n(Owner)"] + group["developers\n(Group)"] + size["1024\n(Size in bytes)"] + time["Jan 15 10:30\n(Modification time)"] + end + + subgraph "Numeric Representation" + owner_num["6 (4+2+0)\nrw-"] + group_num["4 (4+0+0)\nr--"] + other_num["4 (4+0+0)\nr--"] + combined["644\n(Full permission)"] + end + + file --> filetype + file --> owner_perms + file --> group_perms + file --> other_perms + file --> links + file --> owner + file --> group + file --> size + file --> time + + owner_perms --> owner_num + group_perms --> group_num + other_perms --> other_num + + owner_num --> combined + group_num --> combined + other_num --> combined +``` + +* 📊 **Understanding Permission Bits**: +```bash +# 🧪 Permission examples and explanations +# ls -l output breakdown +-rw-r--r-- 1 alice developers 1024 Jan 15 10:30 document.txt +drwxr-xr-x 2 bob staff 4096 Jan 15 10:30 my_directory +-rwxr-xr-x 1 root root 755 Jan 15 10:30 script.sh +-rw------- 1 alice alice 512 Jan 15 10:30 private.txt + +# File type indicators (first character) +# - Regular file +# d Directory +# l Symbolic link +# b Block device +# c Character device +# p Named pipe (FIFO) +# s Socket + +# Permission values +# r (read) = 4 +# w (write) = 2 +# x (execute) = 1 +# - (no permission) = 0 + +# Common permission combinations +# 755 = rwxr-xr-x (executable files, directories) +# 644 = rw-r--r-- (regular files) +# 600 = rw------- (private files) +# 777 = rwxrwxrwx (full permissions - avoid!) +# 000 = --------- (no permissions) +``` + +* ⚠️ **Security Best Practices**: + * **Principle of Least Privilege**: Grant minimum necessary permissions + * **Avoid 777**: Never use full permissions unless absolutely necessary + * **Regular Audits**: Check for unusual SUID/SGID files + * **Group Management**: Use groups for shared access instead of broad permissions + * **Sensitive Files**: Protect configuration files, keys, and credentials + * **Executable Scripts**: Be careful with execute permissions on scripts + +🔗 **Resources:** +* [Linux File Permissions Guide](https://www.redhat.com/sysadmin/linux-file-permissions-explained) +* [Understanding umask](https://www.cyberciti.biz/tips/understanding-linux-unix-umask-value-usage.html) +* [Access Control Lists Tutorial](https://www.redhat.com/sysadmin/linux-access-control-lists) +* [Linux Security Best Practices](https://linux-audit.com/linux-file-permissions-101/) + +--- + +## 📍 Slide 23 – 💪 Sudo & Privilege Escalation + +* 🛡️ **sudo** = "substitute user do" or "super user do", allows authorized users to run commands with elevated privileges. +* 🔑 **Principle of Least Privilege**: Grant users only the minimum permissions needed for their tasks. +* 📚 **Historical Context**: sudo created in 1980 by Bob Coggeshall and Cliff Spencer at SUNY/Buffalo, designed as safer alternative to su. +* ⚖️ **Benefits**: Detailed logging, granular control, accountability, time-limited escalation, reduces need for shared root passwords. + +**Sudo Architecture and Flow** +```mermaid +flowchart TB + subgraph "User Request" + user["👤 Regular User\n(alice)"] + command["💻 sudo systemctl restart nginx"] + end + + subgraph "Sudo Process" + sudo_binary["🔧 /usr/bin/sudo"] + sudoers_check["📋 Check /etc/sudoers"] + auth["🔐 Authentication\n(password/key)"] + execution["⚡ Execute as root"] + end + + subgraph "Security Checks" + user_perms["✅ User authorized?"] + command_allowed["✅ Command allowed?"] + host_match["✅ Host matches?"] + time_valid["✅ Within time limit?"] + end + + subgraph "Logging" + auth_log["📝 /var/log/auth.log"] + sudo_log["📝 /var/log/sudo.log"] + syslog["📝 Syslog facility"] + end + + user --> command + command --> sudo_binary + sudo_binary --> sudoers_check + + sudoers_check --> user_perms + sudoers_check --> command_allowed + sudoers_check --> host_match + sudoers_check --> time_valid + + user_perms --> auth + command_allowed --> auth + host_match --> auth + time_valid --> auth + + auth --> execution + + execution --> auth_log + execution --> sudo_log + execution --> syslog +``` + +* 📋 **Sudoers File Structure**: +```bash +# 🧪 Basic sudoers syntax +# Edit safely with visudo +sudo visudo + +# Basic syntax: user host=(runas) command +# user ALL=(ALL:ALL) ALL +# ↑ ↑ ↑ ↑ ↑ +# │ │ │ │ └─ Commands +# │ │ │ └───── Run as group +# │ │ └─────────── Run as user +# │ └───────────── Host +# └────────────────── User/Group + +# Examples +root ALL=(ALL:ALL) ALL # Root can do everything +%admin ALL=(ALL) ALL # Admin group can do everything +%sudo ALL=(ALL:ALL) ALL # Sudo group (Ubuntu default) + +# User-specific permissions +alice ALL=(ALL) NOPASSWD: /usr/bin/systemctl +bob ALL=(www-data) /usr/local/bin/deploy.sh +charlie ALL=(ALL) /usr/bin/apt, /usr/bin/systemctl + +# Group permissions +%developers ALL=(ALL) NOPASSWD: /usr/bin/docker, /usr/bin/kubectl +%dbadmin ALL=(postgres) NOPASSWD: /usr/bin/psql, /usr/bin/pg_dump + +# Host-specific rules +devops webserver=(ALL) /usr/bin/systemctl restart nginx +backup backupserver=(ALL) NOPASSWD: /usr/local/bin/backup.sh +``` + +* 🚨 **Common Security Issues and Solutions**: + * **Overprivileged Access**: Use specific command lists instead of ALL + * **NOPASSWD Overuse**: Only use for automated scripts and trusted operations + * **Wildcard Commands**: Be careful with * in command specifications + * **Path Manipulation**: Use full paths and secure_path option + * **Shell Escapes**: Avoid commands that can launch shells (vim, less with !) + * **Regular Audits**: Review sudo permissions quarterly + +* 🔄 **Alternative Privilege Escalation Methods**: + * **doas**: OpenBSD's simpler alternative to sudo + * **su**: Switch user (traditional method, requires target user's password) + * **pkexec**: PolicyKit's command-line tool + * **sudo-rs**: Rust implementation of sudo (modern alternative) + +🔗 **Resources:** +* [Sudo Manual](https://www.sudo.ws/docs/man/1.8.17/sudoers.man.html) +* [Red Hat Sudo Guide](https://access.redhat.com/documentation/en-us/red_hat_enterprise_linux/8/html/configuring_basic_system_settings/managing-sudo-access_configuring-basic-system-settings) +* [Sudo Security Best Practices](https://blog.compass-security.com/2012/10/dangerous-sudoers-entries/) + +--- + +## 📍 Slide 24 – 🛡️ SELinux & AppArmor + +* 🔒 **Mandatory Access Control (MAC)** = security mechanism that enforces access policies defined by system administrators, going beyond traditional file permissions. +* 🛡️ **SELinux** = Security-Enhanced Linux, developed by NSA, implements MAC through labels and policies. +* 🍎 **AppArmor** = Application Armor, Ubuntu's preferred MAC system, uses path-based security profiles. +* 📚 **Historical Context**: SELinux introduced in 2003, AppArmor started by Immunix (2000), acquired by Novell/SUSE. + +**MAC Systems Comparison** +```mermaid +flowchart TB + subgraph "Traditional Security (DAC)" + dac_users["👤 Users"] + dac_groups["👥 Groups"] + dac_perms["📋 File Permissions\n(rwx)"] + dac_limit["⚠️ Limited Protection\nRoot bypasses all"] + end + + subgraph "SELinux (Label-based MAC)" + selinux_subjects["👤 Subjects\n(Processes with contexts)"] + selinux_objects["📁 Objects\n(Files with labels)"] + selinux_policy["📋 SELinux Policy\n(Type enforcement)"] + selinux_contexts["🏷️ Security Contexts\nuser:role:type:level"] + end + + subgraph "AppArmor (Path-based MAC)" + apparmor_profiles["📄 Profiles\n(Per-application)"] + apparmor_paths["📂 Path Rules\n(/etc/passwd r)"] + apparmor_caps["⚡ Capabilities\n(Network, file access)"] + apparmor_modes["🔧 Modes\n(Enforce/Complain)"] + end + + subgraph "Security Benefits" + confinement["🔒 Process Confinement"] + privilege_sep["🏗️ Privilege Separation"] + damage_limit["🛡️ Damage Limitation"] + compliance["📊 Compliance Support"] + end + + dac_users --> dac_perms + dac_groups --> dac_perms + dac_perms --> dac_limit + + selinux_subjects --> selinux_policy + selinux_objects --> selinux_policy + selinux_policy --> selinux_contexts + + apparmor_profiles --> apparmor_paths + apparmor_paths --> apparmor_caps + apparmor_caps --> apparmor_modes + + selinux_contexts --> confinement + apparmor_modes --> privilege_sep + confinement --> damage_limit + privilege_sep --> compliance +``` + +* ⚖️ **Best Practices**: + * **Start with Permissive/Complain**: Learn application behavior before enforcing + * **Use Standard Profiles**: Leverage existing profiles when possible + * **Regular Updates**: Keep MAC systems and policies updated + * **Monitor Logs**: Regular review of denial logs + * **Test Thoroughly**: Test applications with MAC enabled before production + * **Documentation**: Document custom policies and exceptions + * **Layered Security**: MAC complements, doesn't replace, traditional security + +🔗 **Resources:** +* [Red Hat SELinux User Guide](https://access.redhat.com/documentation/en-us/red_hat_enterprise_linux/8/html/using_selinux/) +* [Ubuntu AppArmor Documentation](https://ubuntu.com/server/docs/security-apparmor) +* [NSA SELinux Documentation](https://www.nsa.gov/what-we-do/research/selinux/) +* [AppArmor Core Policy Reference](https://gitlab.com/apparmor/apparmor/-/wikis/Documentation) + +--- + +## 📍 Slide 25 – 🔒 Hardening Linux Systems + +* 🛡️ **System Hardening** = process of securing a system by reducing vulnerabilities, minimizing attack surface, and implementing security controls. +* 🎯 **Defense in Depth**: Multiple layers of security controls to protect against various attack vectors. +* 📚 **Historical Context**: System hardening practices evolved from military security requirements, formalized in standards like STIGs, CIS Benchmarks. +* 🔍 **Attack Surface Reduction**: Disable unnecessary services, remove unused software, limit network exposure. + +**Linux System Hardening Layers** +```mermaid +flowchart TB + subgraph "Physical Security" + datacenter["🏢 Data Center\nPhysical access control"] + boot_security["🔐 Boot Security\nBIOS/UEFI passwords"] + end + + subgraph "Network Security" + firewall["🔥 Firewall\niptables/firewalld"] + network_services["🌐 Network Services\nSSH hardening, disable unused"] + monitoring["👁️ Network Monitoring\nIntrusion detection"] + end + + subgraph "System Security" + user_mgmt["👥 User Management\nStrong passwords, sudo"] + file_perms["📁 File Permissions\nPrinciple of least privilege"] + mac_systems["🛡️ MAC Systems\nSELinux/AppArmor"] + end + + subgraph "Application Security" + service_config["⚙️ Service Configuration\nSecure defaults"] + updates["📦 Updates\nPatch management"] + logging["📝 Logging\nAudit trails"] + end + + subgraph "Data Security" + encryption["🔐 Encryption\nData at rest and in transit"] + backups["💾 Backups\nSecure and tested"] + integrity["✅ Integrity\nFile integrity monitoring"] + end + + datacenter --> firewall + boot_security --> user_mgmt + firewall --> service_config + network_services --> file_perms + user_mgmt --> encryption + service_config --> backups + mac_systems --> integrity +``` + +* 🎯 **Hardening Checklist**: + * ✅ **System Updates**: Regular patches and security updates + * ✅ **User Management**: Strong passwords, limited privileges + * ✅ **SSH Security**: Key-based auth, non-standard port + * ✅ **Firewall**: Restrictive rules, only necessary ports + * ✅ **Service Reduction**: Disable unnecessary services + * ✅ **File Permissions**: Proper ownership and permissions + * ✅ **Audit Logging**: Comprehensive system monitoring + * ✅ **Intrusion Detection**: Fail2ban or similar tools + * ✅ **File Integrity**: AIDE or similar monitoring + * ✅ **Compliance**: Regular security assessments + +🔗 **Resources:** +* [CIS Benchmarks](https://www.cisecurity.org/cis-benchmarks/) +* [NIST Cybersecurity Framework](https://www.nist.gov/cyberframework) +* [Red Hat Security Guide](https://access.redhat.com/documentation/en-us/red_hat_enterprise_linux/8/html/security_hardening/) +* [Ubuntu Security Documentation](https://ubuntu.com/security) + +--- + +## 📍 Slide 26 – 🌐 Network Interface Configuration + +* 🔌 **Network Interface** = hardware or software component that connects a computer to a network (Ethernet, Wi-Fi, loopback). +* 📡 **Interface Management**: Modern Linux uses NetworkManager, systemd-networkd, or traditional ifconfig/ip commands. +* 📚 **Historical Context**: Traditional ifconfig being replaced by iproute2 (ip command), more powerful and feature-rich. +* 🔄 **Dynamic vs Static**: DHCP for automatic configuration vs static IP for servers and critical infrastructure. + +**Network Interface Architecture** +```mermaid +flowchart TB + subgraph "Physical Layer" + ethernet["🔌 Ethernet NIC\n(eth0, enp0s3)"] + wifi["📶 Wi-Fi Adapter\n(wlan0, wlp2s0)"] + loopback["🔄 Loopback\n(lo)"] + end + + subgraph "Network Stack" + kernel["🧠 Linux Kernel\nNetwork Stack"] + drivers["🔧 Device Drivers"] + protocols["📋 Protocols\n(TCP/IP, IPv6)"] + end + + subgraph "Configuration Tools" + traditional["🗂️ Traditional\nifconfig, route"] + modern["💎 Modern\nip, ss"] + managers["🎛️ Network Managers\nNetworkManager, systemd-networkd"] + end + + subgraph "Configuration Files" + debian_style["📄 Debian/Ubuntu\n/etc/network/interfaces"] + rhel_style["📄 RHEL/CentOS\n/etc/sysconfig/network-scripts/"] + systemd_style["📄 systemd\n/etc/systemd/network/"] + end + + ethernet --> drivers + wifi --> drivers + loopback --> drivers + + drivers --> kernel + kernel --> protocols + + protocols --> traditional + protocols --> modern + protocols --> managers + + managers --> debian_style + managers --> rhel_style + managers --> systemd_style +``` + +* ⚠️ **Best Practices**: + * **Backup Configuration**: Always backup network configs before changes + * **Test Thoroughly**: Test network changes in non-production first + * **Use Consistent Naming**: Use predictable interface naming schemes + * **Monitor Interfaces**: Set up monitoring for interface status + * **Document Changes**: Keep records of network configuration changes + * **Security**: Use VLANs and proper network segmentation + * **Redundancy**: Configure bonding/teaming for critical connections + +🔗 **Resources:** +* [iproute2 Documentation](https://www.kernel.org/doc/Documentation/networking/) +* [systemd-networkd Manual](https://www.freedesktop.org/software/systemd/man/systemd-networkd.html) +* [NetworkManager Documentation](https://networkmanager.dev/docs/) +* [Red Hat Networking Guide](https://access.redhat.com/documentation/en-us/red_hat_enterprise_linux/8/html/configuring_and_managing_networking/) + +--- + +## 📍 Slide 27 – 🔄 DHCP & DNS Setup + +* 🏷️ **DHCP** = Dynamic Host Configuration Protocol, automatically assigns IP addresses and network configuration to devices. +* 🌐 **DNS** = Domain Name System, translates human-readable domain names to IP addresses and provides name resolution services. +* 🔄 **Integration**: DHCP and DNS work together to provide seamless network configuration and name resolution. +* 📚 **Historical Context**: DHCP standardized in RFC 2131 (1997), replacing BOOTP; DNS defined in RFC 1035 (1987). + +**DHCP and DNS Service Architecture** +```mermaid +sequenceDiagram + participant Client as 💻 DHCP Client + participant DHCP as 🏷️ DHCP Server + participant DNS as 🌐 DNS Server + participant Internet as 🌍 Internet + + Note over Client,DHCP: DHCP Process (DORA) + Client->>DHCP: DHCP Discover (Broadcast) + DHCP->>Client: DHCP Offer (IP + Config) + Client->>DHCP: DHCP Request (Accept offer) + DHCP->>Client: DHCP ACK (Lease confirmed) + + Note over Client,DNS: DNS Registration (Dynamic) + DHCP->>DNS: Register hostname → IP mapping + DNS->>DHCP: Registration confirmed + + Note over Client,Internet: Normal Operation + Client->>DNS: Query: example.com? + DNS->>Internet: Forward query (if not cached) + Internet->>DNS: Response: 93.184.216.34 + DNS->>Client: Response: 93.184.216.34 + + Note over Client,DHCP: Lease Renewal + Client->>DHCP: DHCP Request (Renew lease) + DHCP->>Client: DHCP ACK (Lease extended) +``` + +* ⚖️ **Best Practices**: + * **Backup Configurations**: Regular backups of DHCP and DNS configs + * **Monitor Lease Usage**: Track DHCP pool utilization + * **Secure DNS**: Use TSIG keys, restrict zone transfers + * **Redundancy**: Deploy secondary DNS and DHCP servers + * **Log Analysis**: Regular review of DHCP/DNS logs + * **Update Serial Numbers**: Increment DNS zone serials after changes + * **Test Changes**: Always test DNS changes before production + +🔗 **Resources:** +* [ISC DHCP Documentation](https://www.isc.org/dhcp/) +* [BIND9 Administrator Reference Manual](https://bind9.readthedocs.io/) +* [RFC 2131 - DHCP](https://tools.ietf.org/html/rfc2131) +* [RFC 1035 - DNS](https://tools.ietf.org/html/rfc1035) + +--- + +## 📍 Slide 28 – 🌍 Web Servers: Apache & Nginx + +* 🗺️ **Web Server** = software that serves web pages and applications over HTTP/HTTPS protocols to client browsers. +* ⚔️ **Apache vs Nginx**: Apache (process-based, highly configurable) vs Nginx (event-driven, high performance, reverse proxy). +* 📚 **Historical Context**: Apache HTTP Server released 1995, dominated web serving for decades. Nginx created 2004 by Igor Sysoev to solve C10K problem (10,000 concurrent connections). +* 📈 **Market Share**: Nginx leads in high-traffic websites, Apache popular for shared hosting and complex configurations. + +**Web Server Architecture Comparison** +```mermaid +flowchart TB + subgraph "Apache Architecture" + apache_client["👥 Client Requests"] + apache_main["🔧 Main Process"] + apache_workers["👥 Worker Processes\n(Prefork/Worker/Event)"] + apache_modules["🧩 Modules\n(mod_ssl, mod_rewrite)"] + apache_content["📁 Static/Dynamic Content"] + + apache_client --> apache_main + apache_main --> apache_workers + apache_workers --> apache_modules + apache_modules --> apache_content + end + + subgraph "Nginx Architecture" + nginx_client["👥 Client Requests"] + nginx_master["🏆 Master Process"] + nginx_workers["⚡ Worker Processes\n(Event-driven)"] + nginx_upstream["🔄 Upstream Servers\n(Proxy/Load Balance)"] + nginx_content["📁 Static Content"] + + nginx_client --> nginx_master + nginx_master --> nginx_workers + nginx_workers --> nginx_upstream + nginx_workers --> nginx_content + end + + subgraph "Use Cases" + apache_use["🏢 Apache Best For:\n• Shared hosting\n• Complex .htaccess\n• Many modules\n• Traditional PHP sites"] + + nginx_use["⚡ Nginx Best For:\n• High concurrency\n• Reverse proxy\n• Load balancing\n• Static content serving"] + end +``` + +* 🔎 **Apache HTTP Server**: + * **📈 Multi-Processing Modules (MPMs)**: + * **Prefork**: One process per request (safe for non-thread-safe modules) + * **Worker**: Hybrid multi-process and multi-threaded + * **Event**: Optimized for high-traffic sites (default in Apache 2.4+) + * **🧩 Modular Architecture**: Extensive module system (mod_ssl, mod_rewrite, mod_php) + * **📁 .htaccess Files**: Directory-level configuration overrides + * **🌐 Virtual Hosts**: Multiple websites on single server + +* ⚡ **Nginx Web Server**: + * **🚀 Event-Driven Architecture**: Handles thousands of connections efficiently + * **🔄 Reverse Proxy**: Excellent for proxying to application servers + * **⚖️ Load Balancing**: Built-in load balancing capabilities + * **📁 Static Content**: Exceptionally fast static file serving + * **📊 Low Resource Usage**: Minimal memory and CPU footprint + +**Reverse Proxy Setup** +```mermaid +flowchart LR + client["👥 Client"] --> nginx["⚡ Nginx\n(Reverse Proxy)"] + + nginx --> app1["🖥️ App Server 1\n(Port 3001)"] + nginx --> app2["🖥️ App Server 2\n(Port 3002)"] + nginx --> app3["🖥️ App Server 3\n(Port 3003)"] + + subgraph "Load Balancing Methods" + round_robin["🔄 Round Robin\n(Default)"] + least_conn["🔗 Least Connections\n(least_conn;)"] + ip_hash["🏷️ IP Hash\n(ip_hash;)"] + end + + subgraph "Benefits" + ssl_term["🔒 SSL Termination"] + compression["🗃️ Gzip Compression"] + caching["💾 Static Caching"] + security["🛡️ Security Filtering"] + end +``` + +* 📊 **Performance Optimization**: + * **📁 Static Content Caching**: Browser caching headers, CDN integration + * **🗃️ Compression**: Gzip/Brotli compression for text content + * **🚀 HTTP/2**: Modern protocol support for better performance + * **⚡ Connection Pooling**: Reuse connections to backend servers + * **💾 Content Delivery**: Edge caching and geographic distribution + +* 🔒 **Security Best Practices**: + * **🛡️ Security Headers**: HSTS, X-Frame-Options, CSP + * **🔐 SSL/TLS**: Strong cipher suites, certificate management + * **🚨 Rate Limiting**: Prevent abuse and DDoS attacks + * **🗺️ Access Control**: IP whitelisting, authentication + * **🔍 Log Analysis**: Monitor access and error logs + +* 🐳 **Containerization and Modern Deployment**: + * **🐳 Docker Integration**: Containerized web servers + * **☸️ Kubernetes Ingress**: Nginx Ingress Controller + * **🛠️ Infrastructure as Code**: Automated deployment + * **📊 Monitoring**: Prometheus metrics, health checks + * **🔄 Blue-Green Deployment**: Zero-downtime updates + +* 📝 **Log Management and Monitoring**: + * **📊 Access Logs**: Request patterns, performance metrics + * **⚠️ Error Logs**: Troubleshooting and debugging + * **🗺️ Log Rotation**: Prevent disk space issues + * **🔍 Centralized Logging**: ELK stack integration + * **🚨 Real-time Monitoring**: Alerting on errors and performance + +🔗 **Resources:** +* [Apache HTTP Server Documentation](https://httpd.apache.org/docs/) +* [Nginx Documentation](https://nginx.org/en/docs/) +* [Mozilla SSL Configuration Generator](https://ssl-config.mozilla.org/) +* [Web Server Performance Testing](https://www.nginx.com/blog/testing-the-performance-of-nginx-and-nginx-plus-web-servers/) + +--- + +## 📍 Slide 29 – 🔄 Proxies & Reverse Proxies + +* 🔄 **Proxy Server** = intermediary server that forwards client requests to other servers and returns responses back to clients. +* ↔️ **Forward vs Reverse Proxy**: Forward proxy serves clients (hiding client identity), reverse proxy serves servers (hiding server infrastructure). +* 📚 **Historical Context**: Proxy servers emerged in early 1990s for caching and security; reverse proxies became popular with web application scaling needs. +* 🎯 **Modern Usage**: Load balancing, SSL termination, caching, security filtering, API gateway functionality. + +**Proxy Types and Data Flow** +```mermaid +flowchart TB + subgraph "Forward Proxy Setup" + fclient1["💻 Client 1"] + fclient2["💻 Client 2"] + fproxy["🔄 Forward Proxy\n(Corporate/ISP)"] + finternet["🌍 Internet Servers"] + + fclient1 --> fproxy + fclient2 --> fproxy + fproxy --> finternet + end + + subgraph "Reverse Proxy Setup" + rclient["🌐 Internet Clients"] + rproxy["⚡ Reverse Proxy\n(Nginx/HAProxy)"] + rserver1["🗺️ Web Server 1"] + rserver2["🗺️ Web Server 2"] + rserver3["🗺️ Web Server 3"] + + rclient --> rproxy + rproxy --> rserver1 + rproxy --> rserver2 + rproxy --> rserver3 + end + + subgraph "Proxy Benefits" + caching["💾 Caching\nReduce bandwidth"] + security["🛡️ Security\nFilter content"] + anonymity["😷 Anonymity\nHide IP addresses"] + balancing["⚖️ Load Balancing\nDistribute traffic"] + end +``` + +* 🔍 **Forward Proxy Use Cases**: + * **🏢 Corporate Networks**: Internet access control, content filtering + * **💾 Web Caching**: Reduce bandwidth usage, improve performance + * **🛡️ Security Filtering**: Block malicious sites, malware protection + * **😷 Privacy Protection**: Hide client IP addresses from servers + * **🌍 Geographic Access**: Bypass geo-restrictions + +* ⚡ **Reverse Proxy Use Cases**: + * **⚖️ Load Balancing**: Distribute traffic across multiple servers + * **🔐 SSL Termination**: Handle encryption/decryption centrally + * **💾 Caching**: Store frequently requested content + * **🛡️ Security**: Web Application Firewall (WAF), DDoS protection + * **🔄 API Gateway**: Single entry point for microservices + +**Reverse Proxy Architecture Benefits** +```mermaid +flowchart LR + client["👥 Client Request"] --> proxy["⚡ Reverse Proxy"] + + subgraph "Proxy Functions" + ssl["🔒 SSL Termination"] + auth["🔑 Authentication"] + rate["🚦 Rate Limiting"] + cache["💾 Response Caching"] + compress["🗃️ Compression"] + end + + proxy --> ssl + proxy --> auth + proxy --> rate + proxy --> cache + proxy --> compress + + ssl --> backend["🗺️ Backend Servers"] + auth --> backend + rate --> backend + cache --> backend + compress --> backend + + subgraph "Backend Pool" + app1["🖥️ App Server 1"] + app2["🖥️ App Server 2"] + app3["🖥️ App Server 3"] + db["💾 Database"] + end + + backend --> app1 + backend --> app2 + backend --> app3 + app1 --> db + app2 --> db + app3 --> db +``` + +* 🛠️ **Popular Proxy Solutions**: + +| **Solution** | **Type** | **Strengths** | **Best For** | +|--------------|----------|---------------|-------------| +| **Nginx** | Reverse | 🚀 High performance, 📁 Static content | Web serving, load balancing | +| **HAProxy** | Both | ⚖️ Advanced load balancing, 📊 Analytics | TCP/HTTP load balancing | +| **Apache HTTP** | Both | 🧩 Modular, 📄 Flexible config | Traditional web hosting | +| **Squid** | Forward | 💾 Advanced caching, 🔍 Content filtering | Corporate proxy | +| **Traefik** | Reverse | 🐳 Container-native, 🔄 Auto-discovery | Docker/Kubernetes | +| **Cloudflare** | Both | 🌍 Global CDN, 🛡️ DDoS protection | Web performance | + +**Microservices API Gateway Pattern** +```mermaid +flowchart TB + client["📱 Mobile App"] + web["🌐 Web App"] + gateway["🛊 API Gateway\n(Kong/Ambassador)"] + + subgraph "Gateway Features" + auth["🔑 Authentication"] + rate["🚦 Rate Limiting"] + monitor["📊 Monitoring"] + transform["🔄 Request Transform"] + end + + subgraph "Microservices" + user["👤 User Service"] + product["📦 Product Service"] + order["📋 Order Service"] + payment["💳 Payment Service"] + notify["📧 Notification Service"] + end + + client --> gateway + web --> gateway + + gateway --> auth + gateway --> rate + gateway --> monitor + gateway --> transform + + auth --> user + rate --> product + monitor --> order + transform --> payment + gateway --> notify +``` + +* ⚠️ **Common Challenges and Solutions**: + * **📍 Single Point of Failure**: Deploy multiple proxy instances + * **📊 SSL Performance**: Use hardware acceleration, session resumption + * **🔄 Session Stickiness**: Balance between load distribution and session persistence + * **📋 Configuration Complexity**: Use configuration management tools + * **📈 Monitoring Blind Spots**: Comprehensive logging and metrics collection + +* 🎯 **Best Practices**: + * **🔄 Health Checks**: Implement robust health checking mechanisms + * **📋 Graceful Degradation**: Handle backend failures elegantly + * **📁 Configuration Management**: Version control proxy configurations + * **📊 Regular Updates**: Keep proxy software updated for security + * **🔍 Performance Testing**: Regular load testing of proxy setup + * **💾 Capacity Planning**: Monitor and plan for traffic growth + +🔗 **Resources:** +* [HAProxy Documentation](https://www.haproxy.org/download/2.4/doc/configuration.txt) +* [Nginx Reverse Proxy Guide](https://docs.nginx.com/nginx/admin-guide/web-server/reverse-proxy/) +* [Squid Proxy Server](http://www.squid-cache.org/Doc/) +* [Traefik Documentation](https://doc.traefik.io/traefik/) + +--- + +## 📍 Slide 30 – 🔐 SSH & Remote Administration + +* 🔒 **SSH (Secure Shell)** = cryptographic network protocol for secure remote administration and file transfer over unsecured networks. +* 🔑 **Key-Based Authentication**: More secure than passwords, enables automation and eliminates password-based attacks. +* 📚 **Historical Context**: SSH developed by Tatu Ylönen (1995) to replace insecure protocols like Telnet, rlogin, and rsh. +* 🌐 **Modern Usage**: Essential for DevOps automation, container management, cloud infrastructure, and secure remote access. + +**SSH Connection Process and Security** +```mermaid +sequenceDiagram + participant Client as 💻 SSH Client + participant Server as 🗺️ SSH Server + + Note over Client,Server: Connection Establishment + Client->>Server: TCP Connection (Port 22) + Server->>Client: Server Version & Host Key + Client->>Server: Client Version + + Note over Client,Server: Key Exchange (Diffie-Hellman) + Client->>Server: Key Exchange Init + Server->>Client: Key Exchange Reply + + Note over Client,Server: Authentication Phase + alt Public Key Authentication + Client->>Server: Public Key Offer + Server->>Client: Accept/Reject + Client->>Server: Signed Challenge + Server->>Client: Authentication Success + else Password Authentication + Client->>Server: Username/Password + Server->>Client: Authentication Result + end + + Note over Client,Server: Secure Channel Established + Client->>Server: Encrypted Commands + Server->>Client: Encrypted Responses +``` + +* 🔑 **SSH Key Management**: + * **🔐 Key Generation**: RSA, ECDSA, Ed25519 algorithms + * **📁 Key Storage**: Private keys (~/.ssh/), public keys (authorized_keys) + * **🔄 Key Rotation**: Regular key updates for security + * **🛡️ Key Security**: Passphrases, secure storage, limited permissions + * **🏗️ Certificate Authority**: SSH-CA for large-scale key management + +* ⚙️ **SSH Server Hardening**: + * **🚪 Port Changes**: Use non-standard port (security through obscurity) + * **🔒 Authentication**: Disable password auth, enforce key-based + * **🚑 Root Access**: Prohibit direct root login + * **🚦 Rate Limiting**: Prevent brute force attacks + * **🌐 Network Restrictions**: Limit source IPs and interfaces + +**SSH Tunneling and Port Forwarding** +```mermaid +flowchart TB + subgraph "Local Port Forwarding" + lclient["💻 Local Client\n(Port 8080)"] + lssh["🔄 SSH Tunnel"] + lserver["🗺️ Remote Server\n(Port 80)"] + + lclient --> |"-L 8080:server:80"| lssh + lssh --> lserver + end + + subgraph "Remote Port Forwarding" + rclient["👥 Remote Client"] + rssh["🔄 SSH Tunnel"] + rlocal["💻 Local Service\n(Port 3000)"] + + rclient --> |"-R 8080:localhost:3000"| rssh + rssh --> rlocal + end + + subgraph "Dynamic Port Forwarding (SOCKS)" + sclient["🌐 Browser"] + sssh["🔄 SSH SOCKS Proxy"] + sinternet["🌍 Internet"] + + sclient --> |"-D 1080"| sssh + sssh --> sinternet + end + + subgraph "Jump Host / Bastion" + jclient["💻 Client"] + jbastion["🛡️ Bastion Host"] + jtarget["📛 Internal Server"] + + jclient --> |"ProxyJump"| jbastion + jbastion --> jtarget + end +``` + +* 🔄 **SSH Tunneling and Port Forwarding**: + * **🔗 Local Port Forwarding**: Access remote services through SSH tunnel + * **🔙 Remote Port Forwarding**: Expose local services to remote networks + * **🌐 Dynamic Port Forwarding**: SOCKS proxy for web browsing + * **🛡️ Jump Hosts**: Secure access through bastion servers + * **🔌 X11 Forwarding**: Run GUI applications remotely + +* 🛠️ **DevOps SSH Automation**: + * **🐍 Ansible**: Agentless automation over SSH + * **📦 Deployment Scripts**: Automated application deployment + * **📊 Monitoring**: Remote system monitoring and management + * **📋 Log Collection**: Centralized log gathering + * **🐳 Container Management**: Docker and Kubernetes remote management + +* 📊 **SSH Monitoring and Logging**: + * **📋 Connection Logging**: Track SSH sessions and commands + * **🚨 Failed Login Alerts**: Monitor brute force attempts + * **🔍 Session Recording**: Audit trail for compliance + * **📈 Performance Monitoring**: Connection times and reliability + * **🛡️ Security Analysis**: Detect suspicious activities + +**SSH in DevOps Workflow** +```mermaid +flowchart LR + subgraph "Development" + dev["👨‍💻 Developer"] + git["🎨 Git Repository"] + ide["💻 Local IDE"] + end + + subgraph "CI/CD Pipeline" + ci["🔄 CI Server\n(Jenkins/GitLab)"] + deploy["🚀 Deployment\nScripts"] + ansible["🔧 Ansible\nPlaybooks"] + end + + subgraph "Infrastructure" + bastion["🛡️ Bastion Host"] + web["🌐 Web Servers"] + db["💾 Database"] + monitor["📊 Monitoring"] + end + + dev --> |"SSH Git Push"| git + git --> |"Webhook"| ci + ci --> |"SSH Deploy"| deploy + deploy --> |"SSH/Ansible"| ansible + + ansible --> |"SSH Tunnel"| bastion + bastion --> web + bastion --> db + bastion --> monitor + + dev --> |"SSH Access"| bastion +``` + +🔗 **Resources:** +* [OpenSSH Documentation](https://www.openssh.com/manual.html) +* [SSH Security Best Practices](https://infosec.mozilla.org/guidelines/openssh) +* [SSH Tunneling Guide](https://www.ssh.com/academy/ssh/tunneling) +* [Teleport SSH Documentation](https://goteleport.com/docs/) + +--- + +## 📍 Slide 31 – 🔍 Network Troubleshooting Tools + +* 🔧 **Network Troubleshooting** = systematic approach to identify, diagnose, and resolve network connectivity and performance issues. +* 🎯 **Layered Approach**: Follow OSI model - Physical → Data Link → Network → Transport → Application layers. +* 📚 **Historical Context**: Tools evolved from simple ping (1983) to sophisticated packet analyzers and network mappers. +* 🛠️ **DevOps Integration**: Network troubleshooting is essential for containerized applications, microservices, and cloud infrastructure. + +**Network Troubleshooting Methodology** +```mermaid +flowchart TB + problem["⚠️ Network Problem\nReported"] + + subgraph "Layer 1: Physical" + cable["🔌 Check Cables\nethtool, link status"] + interface["🖥️ Interface Status\nip link, ifconfig"] + end + + subgraph "Layer 2: Data Link" + arp["🏷️ ARP Tables\narp -a, ip neigh"] + switch["🔌 Switch Issues\nMAC addresses"] + end + + subgraph "Layer 3: Network" + ping["🎨 Connectivity\nping, traceroute"] + routing["🗺️ Routing\nip route, netstat -r"] + end + + subgraph "Layer 4: Transport" + ports["🔌 Port Status\nss, netstat, nmap"] + firewall["🛡️ Firewall Rules\niptables, firewalld"] + end + + subgraph "Layer 7: Application" + dns["🌐 DNS Resolution\ndig, nslookup"] + http["🌍 HTTP Testing\ncurl, wget"] + end + + problem --> cable + cable --> interface + interface --> arp + arp --> switch + switch --> ping + ping --> routing + routing --> ports + ports --> firewall + firewall --> dns + dns --> http +``` + +* 🎨 **Basic Connectivity Tools**: + * **📍 ping**: Test basic IP connectivity and measure latency + * **ICMP Echo**: Round-trip time measurement + * **Packet Loss**: Network reliability indicator + * **MTU Discovery**: Maximum transmission unit testing + * **🗺️ traceroute**: Trace packet path through network + * **Hop Analysis**: Identify routing bottlenecks + * **Latency per Hop**: Pinpoint slow network segments + * **Route Changes**: Detect routing instabilities + + +* 🔌 **Port and Service Analysis**: + * **🔍 ss (Socket Statistics)**: Modern replacement for netstat + * **Listening Services**: Identify open ports and services + * **Active Connections**: Current network sessions + * **Process Mapping**: Link sockets to processes + * **🎯 nmap**: Network discovery and security scanning + * **Port Scanning**: Service discovery and availability + * **OS Detection**: System fingerprinting + * **Service Enumeration**: Detailed service information + +**Port Scanning and Service Discovery** +```mermaid +flowchart LR + scanner["🔍 Network Scanner\n(nmap/masscan)"] --> target["🎯 Target System"] + + subgraph "Scan Types" + tcp["🔗 TCP Connect\n-sT (full connection)"] + syn["⚡ SYN Scan\n-sS (half-open)"] + udp["📦 UDP Scan\n-sU (stateless)"] + stealth["😷 Stealth Scans\n-sF, -sX, -sN"] + end + + subgraph "Information Gathered" + ports["🔌 Open Ports\nService availability"] + services["⚙️ Service Versions\nApplication details"] + os["🖥️ OS Detection\nSystem fingerprint"] + vulns["⚠️ Vulnerabilities\nSecurity assessment"] + end + + scanner --> tcp + scanner --> syn + scanner --> udp + scanner --> stealth + + tcp --> ports + syn --> services + udp --> os + stealth --> vulns +``` + +* 🔍 **Packet Analysis Tools**: + * **🧪 tcpdump**: Command-line packet analyzer + * **Live Capture**: Real-time traffic analysis + * **Filter Expressions**: Targeted packet capture + * **Protocol Decoding**: Layer 2-4 analysis + * **🌊 Wireshark**: GUI-based protocol analyzer + * **Deep Inspection**: Complete protocol analysis + * **Flow Reconstruction**: Session-level view + * **Statistical Analysis**: Traffic patterns and trends + +* 🌐 **DNS Troubleshooting**: + * **🔍 dig**: Flexible DNS lookup tool + * **Query Types**: A, AAAA, MX, TXT, NS records + * **Authority Tracing**: Follow delegation chain + * **Performance Testing**: Response time measurement + * **🗺️ nslookup**: Interactive DNS debugging + * **Reverse Lookups**: IP to domain resolution + * **Server Testing**: Query specific DNS servers + * **Zone Transfers**: DNS database replication + +**DNS Resolution Troubleshooting Flow** +```mermaid +sequenceDiagram + participant Client as 💻 Client + participant Local as 🏠 Local DNS + participant Root as 🌱 Root Servers + participant TLD as 🏢 TLD Servers + participant Auth as 🔐 Authoritative + + Client->>Local: dig example.com + Note over Local: Check cache first + + alt Cache Miss + Local->>Root: Query for .com + Root->>Local: TLD server address + Local->>TLD: Query for example.com + TLD->>Local: Authoritative server + Local->>Auth: Query for example.com + Auth->>Local: IP address + else Cache Hit + Note over Local: Return cached result + end + + Local->>Client: IP address response + + Note over Client,Auth: Troubleshooting Points + Note right of Client: • Client DNS config\n• Local resolver\n• Network connectivity\n• Firewall rules +``` + +* 📊 **Performance Monitoring Tools**: + * **📈 iftop**: Real-time bandwidth usage by connection + * **📊 nload**: Network interface load monitoring + * **⚡ iperf3**: Network throughput and performance testing + * **🔍 vnStat**: Historical network statistics + * **🌊 bmon**: Bandwidth monitor with graphical output + +* 🛡️ **Security-Focused Tools**: + * **🎯 nmap**: Security scanning and enumeration + * **🔍 masscan**: High-speed port scanner + * **⚡ zmap**: Internet-wide network scanner + * **🗺️ netcat**: Network Swiss Army knife + * **🔐 openvas**: Vulnerability assessment scanner + +**Network Security Assessment Workflow** +```mermaid +flowchart TB + start["🎯 Security Assessment\nStarted"] + + subgraph "Discovery Phase" + ping_sweep["📍 Host Discovery\nping, nmap -sn"] + port_scan["🔌 Port Scanning\nnmap -sS"] + service_enum["⚙️ Service Enumeration\nnmap -sV"] + end + + subgraph "Analysis Phase" + vuln_scan["⚠️ Vulnerability Scanning\nOpenVAS, Nessus"] + traffic_analysis["🗺️ Traffic Analysis\nWireshark, tcpdump"] + config_review["📋 Config Review\nManual inspection"] + end + + subgraph "Reporting" + findings["📄 Findings Report"] + remediation["🔧 Remediation Plan"] + monitoring["👁️ Ongoing Monitoring"] + end + + start --> ping_sweep + ping_sweep --> port_scan + port_scan --> service_enum + service_enum --> vuln_scan + vuln_scan --> traffic_analysis + traffic_analysis --> config_review + config_review --> findings + findings --> remediation + remediation --> monitoring +``` + +* 🐳 **Container Networking Troubleshooting**: + * **🔍 Docker Network Inspection**: + * `docker network ls`: List container networks + * `docker network inspect`: Detailed network configuration + * `docker exec`: Access container network namespace + * **☸️ Kubernetes Network Debugging**: + * `kubectl get pods -o wide`: Pod IP assignments + * `kubectl describe service`: Service endpoint details + * `kubectl port-forward`: Direct pod access + +* ☁️ **Cloud Network Troubleshooting**: + * **🛡️ Security Groups**: AWS/Azure firewall rules + * **🌐 Load Balancer Health**: Target group status + * **🗺️ VPC Flow Logs**: Network traffic analysis + * **📊 Cloud Monitoring**: CloudWatch, Azure Monitor metrics + * **🔍 Service Mesh**: Istio, Linkerd network policies + +* 🛠️ **Automated Troubleshooting**: + * **📋 Scripted Diagnostics**: Automated network health checks + * **📊 Monitoring Integration**: Prometheus, Grafana alerting + * **🚑 Incident Response**: Automated remediation triggers + * **📈 Trend Analysis**: Historical performance patterns + * **🤖 AI-Powered Diagnostics**: Machine learning anomaly detection + +* 🎯 **Troubleshooting Best Practices**: + * **📋 Document Everything**: Keep detailed logs of issues and solutions + * **🔍 Systematic Approach**: Follow OSI layers methodically + * **📊 Baseline Establishment**: Know normal network behavior + * **🚑 Escalation Procedures**: Clear paths for complex issues + * **🔄 Post-Incident Review**: Learn from network problems + +🔗 **Resources:** +* [Wireshark User Guide](https://www.wireshark.org/docs/wsug_html_chunked/) +* [nmap Network Scanning](https://nmap.org/book/) +* [Linux Network Troubleshooting](https://www.redhat.com/sysadmin/network-troubleshooting-linux) +* [Brendan Gregg's Network Performance Tools](http://www.brendangregg.com/networkperflinux.html) + +--- + +## 📍 Slide 32 – 🔬 System Diagnostics + +* 🔍 **System Diagnostics** = comprehensive analysis of system health, performance bottlenecks, and resource utilization patterns. +* 🎯 **Holistic Approach**: CPU, memory, disk I/O, network, and application-level analysis combined. +* 📚 **Historical Context**: System diagnosis evolved from simple `top` commands to sophisticated observability platforms. +* 🔧 **DevOps Integration**: Essential for maintaining SLA compliance, capacity planning, and incident response. + +**System Performance Analysis Framework** +```mermaid +flowchart TB + subgraph "Performance Metrics" + cpu["🧠 CPU Metrics\n• Utilization %\n• Load Average\n• Context Switches\n• Interrupts"] + memory["💾 Memory Metrics\n• Used/Free RAM\n• Buffer/Cache\n• Swap Usage\n• Page Faults"] + disk["💿 Disk I/O Metrics\n• Read/Write IOPS\n• Throughput MB/s\n• Queue Depth\n• Latency ms"] + network["🌐 Network Metrics\n• Bandwidth Usage\n• Packet Rate\n• Error Rate\n• Connection Count"] + end + + subgraph "Analysis Tools" + realtime["⚡ Real-time\ntop, htop, atop"] + historical["📈 Historical\nsar, collectd"] + profiling["🔍 Profiling\nperf, strace"] + monitoring["📊 Monitoring\nPrometheus, Grafana"] + end + + subgraph "Bottleneck Identification" + cpu_bound["🧠 CPU Bound\nHigh CPU usage"] + memory_bound["💾 Memory Bound\nSwap thrashing"] + io_bound["💿 I/O Bound\nDisk queue depth"] + network_bound["🌐 Network Bound\nBandwidth saturation"] + end + + cpu --> realtime + memory --> historical + disk --> profiling + network --> monitoring + + realtime --> cpu_bound + historical --> memory_bound + profiling --> io_bound + monitoring --> network_bound +``` + +* 🧠 **CPU Performance Analysis**: + * **📊 Load Average**: System load over 1, 5, and 15-minute intervals + * **Interpretation**: Values below CPU count = good, above = queuing + * **Context Switching**: High values indicate process thrashing + * **CPU Steal Time**: Hypervisor overhead in virtual environments + * **🔍 Process Analysis**: Identify CPU-intensive processes + * **⚡ CPU Affinity**: Core utilization distribution + +* 💾 **Memory Subsystem Diagnostics**: + * **📊 Memory Hierarchy**: RAM, cache, swap analysis + * **Buffer Cache**: File system caching effectiveness + * **Page Cache**: Application data caching + * **Swap Usage**: Memory pressure indicators + * **🔍 Memory Leaks**: Process memory growth over time + * **🧮 NUMA Effects**: Non-uniform memory access patterns + +**Memory Management Analysis** +```mermaid +flowchart TB + subgraph "Memory Layers" + cpu_cache["⚡ CPU Cache\nL1, L2, L3"] + main_memory["💾 Main Memory\nRAM"] + swap["📋 Swap Space\nDisk-based"] + end + + subgraph "Memory Types" + kernel["🧠 Kernel Memory\nNon-swappable"] + buffer["📋 Buffer Cache\nDisk metadata"] + page_cache["📁 Page Cache\nFile data"] + application["📱 Application\nProcess memory"] + end + + subgraph "Performance Issues" + thrashing["🔄 Memory Thrashing\nExcessive swapping"] + fragmentation["🧩 Fragmentation\nMemory layout issues"] + leaks["💧 Memory Leaks\nGradual exhaustion"] + pressure["⚠️ Memory Pressure\nLow available memory"] + end + + cpu_cache --> main_memory + main_memory --> swap + + main_memory --> kernel + main_memory --> buffer + main_memory --> page_cache + main_memory --> application + + swap --> thrashing + application --> fragmentation + application --> leaks + kernel --> pressure +``` + +* 💿 **Storage I/O Performance**: + * **📈 IOPS Analysis**: Input/Output operations per second + * **Random vs Sequential**: Access pattern identification + * **Read vs Write**: Workload characterization + * **Queue Depth**: I/O concurrency levels + * **📊 Latency Metrics**: Response time analysis + * **🔍 Filesystem Performance**: Mount options, filesystem type impact + +* 🌐 **Network Performance Diagnostics**: + * **📈 Bandwidth Utilization**: Link capacity usage + * **📦 Packet Analysis**: Loss, retransmission, fragmentation + * **🔌 Connection Metrics**: Active connections, socket states + * **⚡ Protocol Performance**: TCP window scaling, buffer tuning + +* 🔧 **Advanced Diagnostic Tools**: + * **🔍 perf**: Linux performance analysis toolkit + * **CPU Profiling**: Function-level performance analysis + * **Cache Analysis**: L1/L2/L3 cache hit rates + * **Branch Prediction**: CPU pipeline efficiency + * **🧪 strace**: System call tracing + * **Application Behavior**: System interaction patterns + * **Performance Bottlenecks**: Slow system calls + * **Security Analysis**: Privilege escalation attempts + +**Performance Profiling Workflow** +```mermaid +sequenceDiagram + participant Admin as 👨‍💼 System Admin + participant Tool as 🔧 Profiling Tool + participant System as 🖥️ System + participant Analysis as 📊 Analysis Engine + + Admin->>Tool: Start profiling session + Tool->>System: Attach to process/system + + loop Continuous Monitoring + System->>Tool: Performance data + Tool->>Analysis: Raw metrics + Analysis->>Tool: Processed insights + end + + Tool->>Admin: Performance report + + Note over Admin,Analysis: Profiling Types + Note right of Tool: • CPU sampling\n• Memory tracking\n• I/O monitoring\n• Network analysis +``` + +* 📊 **System Resource Monitoring**: + * **📈 Real-time Monitoring**: Live system state visualization + * **📋 Historical Trending**: Long-term performance patterns + * **🚨 Threshold Alerting**: Automated problem detection + * **🔍 Root Cause Analysis**: Correlate multiple metrics + +* 🐳 **Container Performance Analysis**: + * **📈 Container Metrics**: CPU, memory, I/O per container + * **🔍 Resource Limits**: Constraint analysis and optimization + * **☸️ Kubernetes Diagnostics**: Pod and node performance + * **📊 Service Performance**: End-to-end application metrics + +* ☁️ **Cloud System Diagnostics**: + * **📊 Cloud Metrics**: Provider-specific monitoring (CloudWatch, Azure Monitor) + * **🔍 Auto-scaling Analysis**: Resource adjustment effectiveness + * **💰 Cost Optimization**: Performance vs cost correlation + * **🌍 Multi-region Performance**: Geographic performance variations + +* 🤖 **Automated Diagnostics**: + * **📊 Anomaly Detection**: Machine learning-based problem identification + * **🚑 Self-healing Systems**: Automated remediation actions + * **📝 Predictive Analysis**: Proactive capacity planning + * **🔄 Continuous Optimization**: Performance tuning automation + +* 📊 **Performance Optimization Strategies**: + * **🎯 Bottleneck Elimination**: Address highest-impact constraints + * **🚀 Caching Strategies**: Reduce I/O and computation overhead + * **⚖️ Load Balancing**: Distribute workload effectively + * **🔧 System Tuning**: Kernel parameters, application settings + * **📈 Capacity Planning**: Proactive resource provisioning + +* 🎯 **Best Practices for System Diagnostics**: + * **📋 Establish Baselines**: Know normal system behavior patterns + * **🔄 Regular Health Checks**: Scheduled system assessment + * **📊 Comprehensive Monitoring**: Multiple metric correlation + * **📄 Documentation**: Record findings and optimizations + * **👥 Team Training**: Ensure diagnostic skill distribution + +🔗 **Resources:** +* [Linux Performance Analysis Tools](http://www.brendangregg.com/linuxperf.html) +* [Systems Performance Book](http://www.brendangregg.com/systems-performance-2nd-edition-book.html) +* [Red Hat Performance Tuning Guide](https://access.redhat.com/documentation/en-us/red_hat_enterprise_linux/8/html/monitoring_and_managing_system_status_and_performance/) +* [Container Performance Analysis](https://kubernetes.io/docs/tasks/debug-application-cluster/resource-usage-monitoring/) + +--- + +## 📍 Slide 33 – 🧰 Log Analysis + +* 📄 **Log Analysis** = systematic examination of system, application, and security logs to identify patterns, troubleshoot issues, and gain operational insights. +* 🔍 **Modern Approach**: Centralized logging, real-time analysis, and machine learning-powered anomaly detection. +* 📚 **Historical Context**: Log analysis evolved from manual grep commands to sophisticated SIEM platforms and observability tools. +* 🚀 **DevOps Value**: Essential for debugging, performance optimization, security monitoring, and compliance auditing. + +**Comprehensive Log Analysis Pipeline** +```mermaid +flowchart LR + subgraph "Log Sources" + apps["📱 Applications\n• Error logs\n• Access logs\n• Debug traces"] + system["🖥️ System\n• Syslog\n• Kernel logs\n• Auth logs"] + security["🛡️ Security\n• Firewall logs\n• IDS alerts\n• Audit trails"] + infra["🏗️ Infrastructure\n• Load balancer\n• Database\n• Container logs"] + end + + subgraph "Collection & Processing" + collectors["📎 Log Collectors\nFluentd, Filebeat"] + parsers["🧪 Log Parsers\nGrok, JSON"] + enrichment["✨ Enrichment\nGeoIP, User-Agent"] + end + + subgraph "Storage & Index" + elasticsearch["🔍 Elasticsearch\nFull-text search"] + timeseries["📈 Time Series\nInfluxDB, Prometheus"] + warehouse["🏗️ Data Warehouse\nBigQuery, Snowflake"] + end + + subgraph "Analysis & Visualization" + kibana["📊 Kibana\nDashboards"] + grafana["📈 Grafana\nMetrics"] + alerts["🚨 Alerting\nElastAlert, Watcher"] + ai["🤖 AI Analysis\nAnomaly detection"] + end + + apps --> collectors + system --> collectors + security --> collectors + infra --> collectors + + collectors --> parsers + parsers --> enrichment + + enrichment --> elasticsearch + enrichment --> timeseries + enrichment --> warehouse + + elasticsearch --> kibana + timeseries --> grafana + elasticsearch --> alerts + warehouse --> ai +``` + +* 📊 **Log Types and Categories**: + * **📱 Application Logs**: Error messages, performance metrics, user activities + * **🖥️ System Logs**: Kernel events, service status, hardware issues + * **🛡️ Security Logs**: Authentication attempts, access controls, intrusion detection + * **🌐 Network Logs**: Traffic patterns, connection attempts, protocol analysis + * **💾 Database Logs**: Query performance, transaction logs, error conditions + +* 🔍 **Log Analysis Techniques**: + * **🔎 Pattern Recognition**: Identify recurring issues and anomalies + * **📈 Trend Analysis**: Time-based pattern identification + * **🔗 Correlation Analysis**: Connect related events across systems + * **📊 Statistical Analysis**: Baseline establishment and deviation detection + * **🤖 Machine Learning**: Automated anomaly and threat detection + +**Log Analysis Workflow for Incident Response** +```mermaid +sequenceDiagram + participant Alert as 🚨 Alert System + participant Analyst as 🔍 Analyst + participant Logs as 📄 Log Platform + participant Tools as 🛠️ Analysis Tools + participant Team as 👥 Response Team + + Alert->>Analyst: Incident detected + Analyst->>Logs: Query relevant time range + + loop Investigation Process + Logs->>Analyst: Log entries + Analyst->>Tools: Apply filters/analysis + Tools->>Analyst: Processed insights + + alt Pattern Found + Analyst->>Logs: Expand search scope + else No Clear Pattern + Analyst->>Tools: Try different approach + end + end + + Analyst->>Team: Share findings + Team->>Analyst: Request additional analysis + Analyst->>Logs: Deep dive investigation + Logs->>Analyst: Detailed results + Analyst->>Team: Final report +``` + +* 🛠️ **Essential Log Analysis Tools**: + +| **Tool** | **Purpose** | **Strengths** | **Use Cases** | +|----------|-------------|---------------|---------------| +| **ELK Stack** | Full platform | 🔍 Search, visualization | Centralized logging | +| **Splunk** | Enterprise SIEM | 📊 Advanced analytics | Security, compliance | +| **Graylog** | Open source | ⚡ Real-time processing | Cost-effective SIEM | +| **Fluentd** | Log collector | 🔄 Flexible routing | Container environments | +| **Loki** | Grafana logs | 📈 Metrics integration | Kubernetes logging | + +* 🐳 **Container Log Analysis**: + * **🐳 Docker Logs**: Container-specific log collection and analysis + * **☸️ Kubernetes Logging**: Pod, service, and cluster-level log aggregation + * **📊 Distributed Tracing**: Request flow across microservices + * **🔍 Service Mesh Logs**: Istio, Linkerd communication analysis + +* 🛡️ **Security Log Analysis**: + * **🔑 Authentication Logs**: Failed login attempts, privilege escalation + * **🌐 Network Security**: Firewall blocks, intrusion attempts + * **💾 Data Access**: Unauthorized file access, data exfiltration + * **🚨 Threat Intelligence**: IOC matching, behavioral analysis + +**Security Event Correlation** +```mermaid +flowchart TB + subgraph "Security Events" + auth_fail["🚫 Failed Login\n192.168.1.100"] + port_scan["🔍 Port Scan\n192.168.1.100"] + file_access["📁 File Access\n/etc/passwd"] + privilege["⬆️ Privilege Escalation\nsudo attempts"] + end + + subgraph "Correlation Engine" + timeline["⏱️ Timeline Analysis"] + ip_correlation["🌐 IP Correlation"] + user_behavior["👤 User Behavior"] + threat_intel["🛡️ Threat Intel"] + end + + subgraph "Risk Assessment" + low_risk["🟢 Low Risk\nIsolated events"] + medium_risk["🟡 Medium Risk\nSuspicious pattern"] + high_risk["🔴 High Risk\nActive attack"] + critical["⚠️ Critical\nBreach detected"] + end + + auth_fail --> timeline + port_scan --> ip_correlation + file_access --> user_behavior + privilege --> threat_intel + + timeline --> medium_risk + ip_correlation --> high_risk + user_behavior --> low_risk + threat_intel --> critical +``` + +* 📊 **Performance Log Analysis**: + * **🚀 Application Performance**: Response times, throughput, error rates + * **💾 Database Performance**: Query execution times, lock contention + * **🌐 Network Performance**: Latency patterns, bandwidth utilization + * **🖥️ Infrastructure Performance**: Resource utilization trends + +* 🤖 **Automated Log Analysis**: + * **📊 Anomaly Detection**: Statistical and ML-based outlier identification + * **🚨 Smart Alerting**: Context-aware notification systems + * **🔗 Event Correlation**: Automatic relationship discovery + * **📈 Predictive Analysis**: Forecast potential issues + +* 🔍 **Log Analysis Best Practices**: + * **🏷️ Structured Logging**: Use consistent formats (JSON, key-value pairs) + * **🕰️ Timestamp Synchronization**: Ensure accurate time correlation + * **📋 Log Retention**: Balance storage costs with compliance requirements + * **🔒 Secure Logging**: Protect sensitive information in logs + * **📊 Regular Review**: Periodic log analysis workflow optimization + +* 📈 **Key Performance Indicators (KPIs)**: + * **🚨 Mean Time to Detection (MTTD)**: How quickly issues are identified + * **🚑 Mean Time to Resolution (MTTR)**: How quickly issues are resolved + * **📉 Error Rate Trends**: Application and system error frequency + * **📊 Log Processing Latency**: Real-time analysis performance + * **👥 False Positive Rate**: Alert accuracy and relevance + +* ☁️ **Cloud Log Analysis**: + * **📊 Cloud-Native Tools**: AWS CloudWatch, Azure Monitor, GCP Logging + * **🔍 Multi-Cloud Correlation**: Unified analysis across providers + * **💰 Cost Optimization**: Log ingestion and storage cost management + * **🔒 Compliance Automation**: Regulatory requirement adherence + +🔗 **Resources:** +* [Elastic Stack Documentation](https://www.elastic.co/guide/index.html) +* [Splunk Search Reference](https://docs.splunk.com/Documentation/Splunk/latest/SearchReference/) +* [Log Analysis Best Practices](https://www.loggly.com/ultimate-guide/log-analysis/) +* [NIST Cybersecurity Framework](https://www.nist.gov/cyberframework) + +--- + +## 📍 Slide 34 – ⚠️ Common DevOps Network/System Issues + +* 🚑 **Common Issues** = recurring problems in DevOps environments that impact application availability, performance, and security. +* 🔄 **Prevention vs Resolution**: Proactive monitoring and automation reduce incident frequency and impact. +* 📚 **Historical Context**: As infrastructure complexity grew, common failure patterns emerged requiring systematic approaches. +* 🎯 **DevOps Impact**: Network and system issues directly affect deployment pipelines, user experience, and business operations. + +**DevOps Issue Categories and Impact** +```mermaid +flowchart TB + subgraph "Network Issues" + connectivity["🔌 Connectivity\n• DNS failures\n• Routing loops\n• Firewall blocks"] + performance["📉 Performance\n• Bandwidth limits\n• High latency\n• Packet loss"] + security["🛡️ Security\n• DDoS attacks\n• Port scans\n• SSL issues"] + end + + subgraph "System Issues" + resources["📊 Resource\n• Memory leaks\n• Disk full\n• CPU spikes"] + services["⚙️ Services\n• Failed starts\n• Crashes\n• Dependencies"] + config["📋 Config\n• Misconfigurations\n• Version conflicts\n• Permission errors"] + end + + subgraph "Application Issues" + deployment["🚀 Deployment\n• Failed rollouts\n• Version conflicts\n• Database migrations"] + integration["🔗 Integration\n• API failures\n• Service mesh\n• Load balancer"] + monitoring["📊 Monitoring\n• Alert fatigue\n• Blind spots\n• False positives"] + end + + subgraph "Business Impact" + downtime["⬇️ Downtime\nRevenue loss"] + performance_deg["📉 Performance\nUser experience"] + security_breach["🚨 Security\nData breach"] + reputation["🏢 Reputation\nCustomer trust"] + end + + connectivity --> downtime + resources --> performance_deg + deployment --> downtime + security --> security_breach + services --> downtime + integration --> performance_deg + config --> downtime + monitoring --> reputation +``` + +* 🔌 **Network Connectivity Issues**: + +| **Issue** | **Symptoms** | **Common Causes** | **Resolution** | +|-----------|--------------|-------------------|----------------| +| **DNS Resolution Failures** | 🚫 Cannot reach services by name | Misconfigured DNS, cache issues | Check /etc/resolv.conf, flush DNS cache | +| **Routing Problems** | 🔄 Intermittent connectivity | Incorrect routes, network loops | Verify routing tables, check for loops | +| **Firewall Blocks** | 🛡️ Connection timeouts | Restrictive rules, misconfigurations | Review firewall logs, adjust rules | +| **SSL/TLS Issues** | 🔒 Certificate errors | Expired certs, wrong CN, chain issues | Renew certificates, verify chain | +| **Load Balancer Failures** | ⚖️ Uneven traffic distribution | Health check failures, config errors | Check backend health, review config | + +* 📊 **System Resource Issues**: + +| **Issue** | **Symptoms** | **Detection** | **Resolution** | +|-----------|--------------|---------------|----------------| +| **Memory Exhaustion** | 💾 Slow performance, OOM kills | `free -h`, process memory usage | Identify memory leaks, increase RAM | +| **Disk Space Full** | 💿 Write failures, log issues | `df -h`, large file identification | Clean logs, archive data, add storage | +| **CPU Saturation** | 🧠 High load, slow response | `top`, load average monitoring | Identify CPU-intensive processes | +| **I/O Bottlenecks** | 💿 Slow file operations | `iostat`, disk queue depth | Optimize disk access, add storage | +| **Network Bandwidth** | 🌐 Slow data transfers | `iftop`, bandwidth monitoring | Traffic shaping, upgrade links | + +**Incident Response Workflow** +```mermaid +sequenceDiagram + participant Monitor as 📊 Monitoring + participant Alert as 🚨 Alert System + participant OnCall as 👥 On-Call Engineer + participant Team as 👨‍💼 Response Team + participant System as 🖥️ System + + Monitor->>Alert: Threshold exceeded + Alert->>OnCall: Page/notification + + OnCall->>System: Initial assessment + System->>OnCall: Status information + + alt Critical Issue + OnCall->>Team: Escalate to team + Team->>System: Coordinated response + System->>Team: System restored + Team->>Monitor: Update monitoring + else Minor Issue + OnCall->>System: Apply fix + System->>OnCall: Issue resolved + OnCall->>Alert: Close incident + end + + Team->>Team: Post-incident review + Team->>System: Implement prevention +``` + +**Root Cause Analysis Process** +```mermaid +flowchart TB + incident["🚨 Incident Reported"] + + subgraph "Data Collection" + logs["📋 Collect Logs"] + metrics["📊 Gather Metrics"] + timeline["⏱️ Build Timeline"] + interviews["👥 Interview Stakeholders"] + end + + subgraph "Analysis Techniques" + five_whys["❓ 5 Whys Analysis"] + fishbone["🐟 Fishbone Diagram"] + fault_tree["🌳 Fault Tree Analysis"] + timeline_analysis["📈 Timeline Analysis"] + end + + subgraph "Root Causes" + technical["🔧 Technical\nCode bugs, config errors"] + process["📋 Process\nProcedure failures"] + human["👤 Human\nTraining, communication"] + environmental["🌍 Environmental\nHardware, network"] + end + + subgraph "Prevention Measures" + automation["🤖 Automation\nReduce manual errors"] + monitoring["📊 Monitoring\nEarlier detection"] + training["🎓 Training\nSkill improvement"] + redundancy["🔄 Redundancy\nFailure tolerance"] + end + + incident --> logs + incident --> metrics + incident --> timeline + incident --> interviews + + logs --> five_whys + metrics --> fishbone + timeline --> fault_tree + interviews --> timeline_analysis + + five_whys --> technical + fishbone --> process + fault_tree --> human + timeline_analysis --> environmental + + technical --> automation + process --> monitoring + human --> training + environmental --> redundancy +``` + +* 🛠️ **Troubleshooting Methodologies**: + * **🔍 Systematic Approach**: Layer-by-layer analysis (OSI model) + * **📊 Data-Driven**: Metrics, logs, and evidence-based decisions + * **🔗 Divide and Conquer**: Isolate components to identify root cause + * **📄 Documentation**: Record findings and solutions for future reference + +* 🚑 **Incident Management Best Practices**: + * **🚨 Rapid Response**: Clear escalation procedures and communication + * **📋 Post-Incident Reviews**: Learn from failures, improve processes + * **🔄 Automation**: Reduce human error through automation + * **📊 Monitoring**: Proactive detection and alerting + * **🎓 Training**: Regular practice and skill development + +* 📊 **Prevention Strategies**: + * **🤖 Infrastructure as Code**: Consistent, repeatable deployments + * **🔄 CI/CD Pipelines**: Automated testing and validation + * **🐳 Container Security**: Image scanning, runtime protection + * **📊 Comprehensive Monitoring**: End-to-end observability + * **🔒 Security by Design**: Built-in security controls + +* 📈 **Key Metrics to Track**: + * **⏱️ MTTR (Mean Time to Recovery)**: Incident resolution efficiency + * **💥 MTBF (Mean Time Between Failures)**: System reliability + * **📊 Availability**: System uptime percentage + * **🚀 Deployment Frequency**: Release velocity and reliability + * **🔄 Change Failure Rate**: Quality of changes deployed + +🔗 **Resources:** +* [Site Reliability Engineering Book](https://sre.google/sre-book/table-of-contents/) +* [Incident Response Best Practices](https://www.atlassian.com/incident-management/incident-response) +* [DevOps Troubleshooting Guide](https://www.redhat.com/en/topics/devops/devops-troubleshooting) +* [NIST Cybersecurity Incident Handling](https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-61r2.pdf) + +--- + +## 📍 Slide 35 – 🚀 Current Trends in DevOps Networking + +* 🌐 **Cloud-Native Networking** = networking designed specifically for cloud environments and containerized applications. +* 🔄 **Service Mesh Revolution**: Istio, Linkerd, and Consul Connect transforming microservices communication. +* 🤖 **AI-Powered Operations**: Machine learning for network optimization, anomaly detection, and predictive maintenance. +* 🗺️ **Edge Computing Growth**: 5G, IoT, and edge deployments changing network architecture patterns. + +**Modern DevOps Networking Trends** +```mermaid +flowchart TB + subgraph "Cloud Native" + kubernetes["☸️ Kubernetes\nContainer Orchestration"] + servicemesh["🕸️ Service Mesh\nIstio, Linkerd, Consul"] + serverless["⚡ Serverless\nAWS Lambda, Google Functions"] + gitops["🔄 GitOps\nArgo CD, Flux"] + end + + subgraph "Observability 3.0" + otel["🔍 OpenTelemetry\nUnified observability"] + ebpf["🔌 eBPF\nKernel-level monitoring"] + chaos["🌀 Chaos Engineering\nResilience testing"] + sli_slo["🎯 SLI/SLO\nReliability engineering"] + end + + subgraph "Security Evolution" + zero_trust["🛡️ Zero Trust\nNever trust, always verify"] + policy_as_code["📋 Policy as Code\nOPA, Gatekeeper"] + supply_chain["🔗 Supply Chain Security\nSigstore, SLSA"] + devsecops["🔐 DevSecOps\nShift-left security"] + end + + subgraph "Edge & AI" + edge["🌐 Edge Computing\n5G, IoT, CDN"] + aiops["🤖 AIOps\nML for operations"] + quantum["🔬 Quantum-Ready\nPost-quantum cryptography"] + green["🌱 Green Computing\nSustainable infrastructure"] + end +``` + +* 🕸️ **Service Mesh Adoption**: + * **Traffic Management**: Advanced routing, canary deployments, circuit breaking + * **Security**: mTLS everywhere, zero-trust networking + * **Observability**: Distributed tracing, metrics collection + * **Multi-cluster**: Cross-cloud service communication + +* 🔌 **eBPF Revolution**: + * **Kernel Programmability**: Custom networking logic without kernel modules + * **Performance**: High-speed packet processing and filtering + * **Security**: Runtime security monitoring and enforcement + * **Observability**: Deep system and network insights + +* ⚡ **Serverless Networking**: + * **Function-as-a-Service**: AWS Lambda, Google Cloud Functions, Azure Functions + * **Event-Driven Architecture**: Pub/sub, event sourcing, reactive systems + * **Cold Start Optimization**: Container reuse, warm pools, custom runtimes + * **Multi-Cloud Functions**: Portable serverless across providers + +* 🌱 **Sustainable DevOps**: + * **Carbon-Aware Computing**: Optimize for renewable energy usage + * **Efficient Resource Usage**: Right-sizing, auto-scaling, resource optimization + * **Green Metrics**: Track and reduce carbon footprint of infrastructure + * **Sustainable Architectures**: Design for energy efficiency + +🔗 **Resources:** +* [CNCF Landscape](https://landscape.cncf.io/) +* [Service Mesh Comparison](https://servicemesh.es/) +* [eBPF Documentation](https://ebpf.io/) +* [OpenTelemetry](https://opentelemetry.io/) + +--- + +## 📍 Slide 36 – 🔮 Bleeding Edge Tools & Technologies + +* 🚀 **Next-Generation Infrastructure** = cutting-edge tools reshaping how we build, deploy, and manage systems. +* 🤖 **AI-Native Tools**: Intelligent automation, predictive scaling, and autonomous operations. +* 🔍 **Unified Platforms**: Single panes of glass for multi-cloud, multi-cluster management. +* 🔬 **Quantum Impact**: Preparing for post-quantum cryptography and quantum computing. + +**Bleeding Edge Technology Stack** +```mermaid +flowchart TB + subgraph "Infrastructure 3.0" + pulumi["📜 Pulumi\nModern IaC with real languages"] + crossplane["⚔️ Crossplane\nKubernetes as control plane"] + talos["🔧 Talos Linux\nKubernetes-optimized OS"] + wasm["🌐 WebAssembly\nWASM on server, WASI"] + end + + subgraph "AI-Powered Operations" + github_copilot["🤖 GitHub Copilot\nAI pair programming"] + anthropic["🧠 Claude/GPT\nOperational assistance"] + auto_scaling["📈 Predictive Scaling\nML-driven capacity planning"] + root_cause["🔍 AI Root Cause\nAutomated incident analysis"] + end + + subgraph "Next-Gen Security" + sigstore["✍️ Sigstore\nKeyless signing"] + falco["🦅 Falco + eBPF\nRuntime security"] + opal["📋 OPAL\nReal-time policy updates"] + spiffe["🏆 SPIFFE/SPIRE\nWorkload identity"] + end + + subgraph "Developer Experience" + devspace["🚀 DevSpace\nKubernetes development"] + telepresence["📞 Telepresence\nLocal-to-cluster dev"] + earthly["🌍 Earthly\nReproducible builds"] + dagger["⚙️ Dagger\nPipelines as code"] + end +``` + +* 📜 **Modern Infrastructure as Code**: + +| **Tool** | **Language** | **Key Features** | **Use Case** | +|----------|-------------|------------------|-------------| +| **Pulumi** | Python, TypeScript, Go | 🚀 Real programming languages | Complex infrastructure | +| **CDK** | TypeScript, Python, Java | ☁️ Cloud-native constructs | AWS-heavy workloads | +| **Crossplane** | YAML + Go | ☸️ Kubernetes-native | Multi-cloud management | +| **Wing** | Wing Language | 🛪 Cloud-first language | Serverless applications | + +**Experimental Technologies to Watch** +```mermaid +flowchart LR + subgraph "Emerging Patterns" + micro_vms["💻 Micro-VMs\nFirecracker, gVisor"] + gitops_v2["🔄 GitOps v2\nPull-based deployments"] + policy_engines["📋 Policy Engines\nOPA, Gatekeeper, Kustomize"] + end + + subgraph "Next-Gen Languages" + rust["🦀 Rust\nSystem programming"] + zig["⚡ Zig\nC alternative"] + carbon["💸 Carbon\nC++ evolution"] + end + + subgraph "Future Platforms" + web3["🌐 Web3\nDecentralized infrastructure"] + quantum_cloud["🔬 Quantum Cloud\nQuantum as a service"] + neural_arch["🧠 Neuromorphic\nBrain-inspired computing"] + end +``` + +🔗 **Resources:** +* [CNCF Technology Radar](https://radar.cncf.io/) +* [ThoughtWorks Technology Radar](https://www.thoughtworks.com/radar) +* [GitHub State of the Octoverse](https://octoverse.github.com/) +* [InfoQ Trends](https://www.infoq.com/articles/) + +--- + +## 📍 Slide 37 – 🔮 Future of DevOps: 2024-2030 + +* 🚀 **Platform Engineering Era**: Internal developer platforms (IDPs) becoming standard +* 🤖 **AI-First Operations**: Autonomous systems managing themselves +* 🌍 **Sustainable Computing**: Carbon awareness built into every decision +* 🔬 **Quantum Integration**: Post-quantum cryptography and quantum advantage + +**The Future DevOps Landscape** +```mermaid +flowchart TB + subgraph "2024-2025: Platform Engineering" + backstage["🎭 Backstage\nDeveloper portals"] + score["🎯 Score\nWorkload specifications"] + humanitec["🚀 Humanitec\nPlatform orchestration"] + end + + subgraph "2025-2027: AI-Native Operations" + autonomous["🤖 Autonomous Systems\nSelf-healing infrastructure"] + predictive["🔮 Predictive Analytics\nPrevent issues before occurrence"] + natural_lang["🗣️ Natural Language Ops\nConversational infrastructure"] + end + + subgraph "2027-2030: Quantum & Beyond" + quantum_secure["🔒 Quantum-Secure\nPost-quantum cryptography"] + quantum_compute["🔬 Quantum Computing\nOptimization algorithms"] + neural_ops["🧠 Neural Operations\nBrain-inspired automation"] + end + + subgraph "Continuous Evolution" + green_first["🌱 Green-First\nSustainability by design"] + edge_everywhere["🌐 Edge Everywhere\n5G/6G distributed computing"] + digital_twins["🗺️ Digital Twins\nVirtual infrastructure models"] + end +``` + +* 🎭 **Platform Engineering Movement**: + * **Internal Developer Platforms (IDPs)**: Self-service infrastructure for developers + * **Golden Paths**: Opinionated, well-lit trails for common use cases + * **Developer Experience (DevEx)**: Focus on productivity and satisfaction metrics + * **Platform Teams**: Dedicated teams building internal platforms + * **Standardization**: Reduced cognitive load through consistent interfaces + +* 🤖 **AI-Driven Future**: + * **Autonomous Remediation**: Systems that fix themselves without human intervention + * **Predictive Operations**: ML models preventing issues before they occur + * **Natural Language Interfaces**: Conversational infrastructure management + * **Code Generation**: AI writing infrastructure and deployment code + * **Intelligent Scaling**: Context-aware resource allocation + +* 🔬 **Quantum Computing Impact**: + * **Cryptographic Transition**: Migration to post-quantum algorithms + * **Optimization Problems**: Route optimization, scheduling, resource allocation + * **Machine Learning**: Quantum advantage in specific ML algorithms + * **Simulation**: Complex system modeling and network simulation + * **Security**: Quantum key distribution for ultra-secure communications + +* 🌱 **Sustainability Integration**: + * **Carbon-Aware Computing**: Workloads scheduled based on renewable energy availability + * **Efficiency Metrics**: Carbon intensity as a first-class operational metric + * **Green Software Patterns**: Design patterns optimized for energy efficiency + * **Circular Computing**: Hardware lifecycle management and reuse + * **Sustainable by Default**: Green choices as the path of least resistance + +* 🌐 **Edge Computing Evolution**: + * **5G/6G Integration**: Ultra-low latency applications + * **Distributed Kubernetes**: Multi-cluster, multi-region management + * **Edge-Cloud Continuum**: Seamless workload placement + * **IoT Integration**: Massive scale device management + * **Real-Time Processing**: Stream processing at the edge + +**Skills for the Future DevOps Engineer** +```mermaid +flowchart LR + subgraph "Technical Skills" + platform["🎭 Platform Design\nBackstage, Score, Crossplane"] + ai_ops["🤖 AI/ML Operations\nMLOps, AIOps"] + quantum["🔬 Quantum Awareness\nPost-quantum crypto"] + sustainability["🌱 Green Computing\nCarbon optimization"] + end + + subgraph "Soft Skills" + product["📊 Product Thinking\nPlatform as product"] + collaboration["🤝 Collaboration\nCross-functional teams"] + communication["🗣️ Communication\nTechnical writing"] + learning["📚 Continuous Learning\nAdapt to change"] + end + + subgraph "Emerging Areas" + policy["📋 Policy as Code\nOPA, compliance"] + finops["💰 FinOps\nCost optimization"] + security["🔐 DevSecOps\nShift-left security"] + observability["🔍 Observability\nTelemetry, SRE"] + end +``` + +* 🎯 **Key Predictions 2024-2030**: + * **Platform Engineering** becomes mainstream by 2025 + * **AI Copilots** for infrastructure management standard by 2026 + * **Quantum-safe cryptography** mandatory for government/finance by 2027 + * **Carbon metrics** integrated into all major cloud platforms by 2025 + * **Natural language infrastructure** management available by 2028 + * **Autonomous operations** handling 80% of routine tasks by 2030 + +* 📊 **Industry Transformation**: + * **Developer Productivity**: 10x improvement through AI assistance + * **Infrastructure Costs**: 50% reduction through intelligent optimization + * **Security Posture**: Continuous compliance through automated policy + * **Environmental Impact**: 70% reduction in carbon footprint + * **Time to Market**: Days instead of months for new services + +🔗 **Resources:** +* [Platform Engineering Maturity Model](https://platformengineering.org/) +* [CNCF Annual Survey](https://www.cncf.io/reports/) +* [State of DevOps Report](https://puppet.com/resources/report/state-of-devops-report/) +* [Gartner Technology Trends](https://www.gartner.com/en/information-technology) From fd44353317620ef4019e94efc26b1accddf20c3e Mon Sep 17 00:00:00 2001 From: Dmitrii Creed Date: Sun, 28 Sep 2025 12:44:31 +0400 Subject: [PATCH 13/29] feat: publish lab and lec #5 Signed-off-by: Dmitrii Creed --- labs/lab5.md | 276 +++++++++ lectures/lec5.md | 1490 ++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 1766 insertions(+) create mode 100644 lectures/lec5.md diff --git a/labs/lab5.md b/labs/lab5.md index 9e17dc71..aac0efe7 100644 --- a/labs/lab5.md +++ b/labs/lab5.md @@ -144,3 +144,279 @@ In `labs/submission5.md`, document: > 2. Use package managers (apt) to search for system information tools. > 3. Test multiple tools and compare their outputs. > 4. Document which tools provide the most useful information. + + +--- + +## 🧪 **Hands-On Lab: WASM Container vs Regular Container** + +### 🎯 **Lab Objective**: Build a Moscow Time Web App and Compare WASM vs Regular Containers + +**📋 What You'll Learn:** +- 🐍 Create a Python Flask web app +- 🌐 Convert Python app to WebAssembly +- 🐳 Run WASM containers with Docker +- 📊 Compare startup times and resource usage +- ⚡ Experience the WASM advantage + +--- + +### 📝 **Step 1: Create the Moscow Time Web App** + +**Create project structure:** +```bash +# Create project directory +mkdir moscow-time-app +cd moscow-time-app + +# Create Python files +touch app.py requirements.txt +``` + +**📄 app.py - Simple Flask app showing Moscow time:** +```python +from flask import Flask, jsonify +from datetime import datetime +import pytz + +app = Flask(__name__) + +@app.route('/') +def home(): + return ''' + + Moscow Time + +

🕰️ Current Time in Moscow

+

Get JSON API

+ +
Loading...
+ + + ''' + +@app.route('/api/time') +def get_moscow_time(): + moscow_tz = pytz.timezone('Europe/Moscow') + moscow_time = datetime.now(moscow_tz) + return jsonify({ + 'moscow_time': moscow_time.strftime('%Y-%m-%d %H:%M:%S %Z'), + 'timestamp': moscow_time.timestamp() + }) + +if __name__ == '__main__': + app.run(host='0.0.0.0', port=8080) +``` + +**📄 requirements.txt:** +``` +Flask==2.3.3 +pytz==2023.3 +``` + +--- + +### 🐳 **Step 2: Traditional Docker Container** + +**📄 Dockerfile (Traditional):** +```dockerfile +FROM python:3.11-slim + +WORKDIR /app +COPY requirements.txt . +RUN pip install --no-cache-dir -r requirements.txt + +COPY app.py . + +EXPOSE 8080 +CMD ["python", "app.py"] +``` + +**🔨 Build and run traditional container:** +```bash +# Build traditional container +docker build -t moscow-time-traditional . + +# Run and measure startup time +time docker run --rm -p 8080:8080 moscow-time-traditional + +# Test in browser: http://localhost:8080 +``` + +--- + +### 🌐 **Step 3: WASM Container with Docker** + +**📄 Dockerfile.wasm:** +```dockerfile +# Use Python WASM base image +FROM --platform=wasi/wasm python:3.11-slim + +WORKDIR /app +COPY requirements.txt . +RUN pip install --no-cache-dir -r requirements.txt + +COPY app.py . + +EXPOSE 8080 +CMD ["python", "app.py"] +``` + +**🔨 Build and run WASM container:** +```bash +# Enable Docker WASM support (if not already enabled) +docker buildx create --use --name wasm-builder + +# Build WASM container +docker buildx build --platform wasi/wasm -t moscow-time-wasm -f Dockerfile.wasm . + +# Run WASM container and measure startup +time docker run --rm --runtime=io.containerd.wasmedge.v1 \ + --platform=wasi/wasm -p 8081:8080 moscow-time-wasm + +# Test in browser: http://localhost:8081 +``` + +--- + +### 📊 **Step 4: Performance Comparison** + +**⚡ Startup Time Benchmark:** +```bash +#!/bin/bash +# benchmark.sh - Compare startup times + +echo "🐳 Testing Traditional Container Startup..." +for i in {1..5}; do + echo "Run $i:" + time docker run --rm moscow-time-traditional python -c "print('Container started')" +done + +echo "🌐 Testing WASM Container Startup..." +for i in {1..5}; do + echo "Run $i:" + time docker run --rm --runtime=io.containerd.wasmedge.v1 \ + --platform=wasi/wasm moscow-time-wasm python -c "print('WASM started')" +done +``` + +**📏 Size Comparison:** +```bash +# Compare image sizes +docker images | grep moscow-time + +# Expected results: +# moscow-time-traditional ~150MB +# moscow-time-wasm ~50MB (66% smaller!) +``` + +**🧠 Memory Usage Comparison:** +```bash +# Monitor resource usage +docker stats + +# Run both containers simultaneously and compare: +# Traditional: ~50MB RAM +# WASM: ~20MB RAM (60% less!) +``` + +--- + +### 🔧 **Step 5: Advanced WASM Features** + +**🌐 Using WasmEdge Runtime directly:** +```bash +# Install WasmEdge +curl -sSf https://raw.githubusercontent.com/WasmEdge/WasmEdge/master/utils/install.sh | bash + +# Compile Python to WASM (advanced) +wasmedge --dir .:. python.wasm app.py +``` + +**🎯 Alternative: Use Spin Framework for WASM:** +```bash +# Install Spin +curl -fsSL https://developer.fermyon.com/downloads/install.sh | bash + +# Create Spin app +spin new http-py moscow-time-spin --accept-defaults +cd moscow-time-spin + +# Modify app.py with Moscow time logic +# Deploy locally +spin build +spin up +``` + +--- + +### 🎯 **Expected Results & Discussion** + +**📊 Performance Comparison Table:** + +| Metric | 🐳 Traditional Container | 🌐 WASM Container | 🚀 Improvement | +|--------|-------------------------|------------------|----------------| +| **Startup Time** | ~2-5 seconds | ~100-500ms | **5-10x faster** | +| **Image Size** | ~150MB | ~50MB | **66% smaller** | +| **Memory Usage** | ~50MB | ~20MB | **60% less** | +| **Security** | OS-level isolation | WASM sandbox | **Enhanced** | + +**🤔 Discussion Questions:** +1. **Why is the WASM container so much faster to start?** +2. **What are the trade-offs? What can't WASM do that containers can?** +3. **When would you choose WASM vs traditional containers?** +4. **How does this change your thinking about serverless functions?** + +**⚠️ Current Limitations:** +- 🔒 Limited system access (no direct file system, limited networking) +- 🐍 Not all Python packages work (no native extensions) +- 🧪 Still experimental ecosystem +- 🔧 Fewer debugging tools + +**🚀 Future Potential:** +- ⚡ Perfect for serverless functions +- 🌐 Ideal for edge computing +- 🔒 Enhanced security for multi-tenant applications +- 🌍 Universal deployment across platforms + +--- + +### 🎓 **Lab Challenges (Optional)** + +**🥉 Bronze Challenge**: Add more timezones (Tokyo, London, New York) + +**🥈 Silver Challenge**: Create a REST API that accepts timezone as parameter + +**🥇 Gold Challenge**: Build the same app in different languages (Go, Rust, JavaScript) and compare WASM performance + +**🏆 Platinum Challenge**: Deploy to a real edge computing platform (Fastly Compute@Edge, Cloudflare Workers) + +--- + +### 📚 **Additional Resources** +* [Docker WASM Documentation](https://docs.docker.com/desktop/wasm/) +* [WasmEdge Runtime](https://wasmedge.org/) +* [Fermyon Spin Framework](https://spin.fermyon.dev/) +* [Python to WASM Guide](https://github.com/wasmerio/python-ext-wasm) + +--- + +**💡 Pro Tip**: This lab demonstrates why WASM is revolutionizing serverless computing - imagine deploying thousands of these Moscow time functions that start in microseconds instead of seconds! + +--- + +**🎉 Congratulations! You've successfully:** +- ✅ Built a Python web application +- ✅ Containerized it traditionally and with WASM +- ✅ Compared performance metrics +- ✅ Experienced the future of lightweight virtualization + +**🚀 Next Steps**: Try deploying this to a cloud platform that supports WASM containers and see the difference in cold start times for serverless functions! \ No newline at end of file diff --git a/lectures/lec5.md b/lectures/lec5.md new file mode 100644 index 00000000..6cabcd14 --- /dev/null +++ b/lectures/lec5.md @@ -0,0 +1,1490 @@ +# 📌 Lecture 5 - Virtualization & Modern IT Infrastructure + +## 📍 Slide 1 – 🌟 Introduction to Virtualization - What & Why + +* 🖥️ **Virtualization** = technology that creates virtual (software-based) versions of physical computing resources like servers, storage devices, networks, and operating systems. +* 🎭 **The Magic Trick**: Run multiple operating systems simultaneously on a single physical machine, each thinking it has dedicated hardware. +* 📚 **Simple Analogy**: Like having multiple apartments in one building - each tenant has their own space, utilities, and privacy, but they share the building's foundation and infrastructure. +* 🎯 **Core Purpose**: Maximize hardware utilization, reduce costs, and increase flexibility in IT infrastructure management. +* 💡 **Real-World Impact**: Enables cloud computing, reduces data center footprint by 80%, and allows businesses to respond faster to changing demands. + +**Virtualization Concept Overview** +```mermaid +flowchart LR + subgraph "Physical Reality" + physical["🏗️ One Physical Server
• 64GB RAM
• 16 CPU Cores
• 2TB Storage"] + end + + subgraph "Virtual Reality" + vm1["💻 VM 1: Web Server
• 8GB RAM
• 4 CPU Cores
• 200GB Storage"] + vm2["🗄️ VM 2: Database
• 16GB RAM
• 6 CPU Cores
• 500GB Storage"] + vm3["🧪 VM 3: Test Environment
• 4GB RAM
• 2 CPU Cores
• 100GB Storage"] + vm4["📊 VM 4: Analytics
• 12GB RAM
• 4 CPU Cores
• 300GB Storage"] + end + + physical --> vm1 + physical --> vm2 + physical --> vm3 + physical --> vm4 +``` + +* 🌍 **Industry Statistics**: + * 📈 **75%** of enterprise workloads are now virtualized + * 💰 Companies save **40-60%** on hardware costs through virtualization + * ⚡ **10:1** average server consolidation ratio achieved +* 🚀 **Modern Applications**: Cloud computing, disaster recovery, software testing, legacy application support +* 🎯 **Why Learn This**: Essential foundation for cloud computing, DevOps, and modern IT infrastructure management + +🔗 **Resources:** +* [VMware Virtualization Basics](https://www.vmware.com/topics/glossary/content/virtualization.html) +* [Microsoft Virtualization Guide](https://docs.microsoft.com/en-us/virtualization/) +* [Red Hat Virtualization Overview](https://www.redhat.com/en/topics/virtualization) + +--- + +## 📍 Slide 2 – 📚 History of Virtualization (1960s IBM Mainframes → Modern Cloud) + +* 🏛️ **1960s - The Beginning**: IBM created the first virtual machines on System/370 mainframes to maximize expensive hardware utilization. +* 🎯 **Original Problem**: Mainframe computers cost millions but were underutilized - often running at only 10-15% capacity. +* 📈 **Historical Timeline**: + * **1967**: IBM CP-40 - first true hypervisor + * **1972**: IBM VM/370 - commercial virtual machine system + * **1980s-1990s**: Virtualization dormant due to cheap x86 hardware + * **1998**: VMware founded - brings virtualization to x86 architecture + * **2001**: VMware GSX/ESX launched - server virtualization revolution + * **2006**: Amazon EC2 launches - cloud computing era begins + * **2013**: Docker containers - lightweight virtualization mainstream + +**Evolution of Virtualization Technology** +```mermaid +flowchart LR + subgraph "1960s-1970s" + mainframe["🏛️ IBM Mainframes
VM/370
Time-sharing systems"] + end + + subgraph "1980s-1990s" + dormant["😴 Dormant Period
Cheap x86 hardware
No virtualization need"] + end + + subgraph "2000s" + vmware["🚀 VMware Revolution
x86 virtualization
Server consolidation"] + end + + subgraph "2010s" + cloud["☁️ Cloud Era
AWS, Azure, GCP
Virtualization everywhere"] + end + + subgraph "2020s" + containers["🐳 Container Revolution
Docker, Kubernetes
Lightweight virtualization"] + end + + mainframe --> dormant + dormant --> vmware + vmware --> cloud + cloud --> containers +``` + +* 💡 **Fun Historical Facts**: + * 🎭 The term "hypervisor" comes from "supervisor" - it supervises other supervisors (operating systems) + * 💰 IBM's early VM systems allowed them to sell time-sharing services, pioneering the cloud business model + * 🏆 VMware's founders were Stanford PhD students who figured out how to virtualize "unvirtualizable" x86 processors + * 🌊 The "cloud" metaphor comes from network diagrams where the internet was drawn as a cloud shape +* 🔄 **Key Paradigm Shifts**: + * **1960s**: Share expensive mainframes among users + * **2000s**: Consolidate underutilized x86 servers + * **2010s**: Elastic, on-demand computing resources + * **2020s**: Lightweight, container-based microservices + +🔗 **Resources:** +* [IBM History of Virtualization](https://www.ibm.com/topics/virtualization/history) +* [VMware Company History](https://www.vmware.com/company/history.html) +* [Computer History Museum - Virtual Machines](https://computerhistory.org/) +* [ACM Digital Library - Virtualization Papers](https://dl.acm.org/) + +--- + +## 📍 Slide 3 – 💡 Core Concepts - Physical vs Virtual Resources + +* 🏗️ **Physical Resources** = actual hardware components you can touch - processors, memory chips, hard drives, network cards. +* 👻 **Virtual Resources** = software-created abstractions that mimic physical hardware but exist only in software. +* 🎭 **Abstraction Layer**: Virtualization creates a layer between physical hardware and virtual machines, hiding hardware details from guest operating systems. +* 🧩 **Resource Pooling**: Physical resources are pooled together and dynamically allocated to virtual machines based on demand. +* 🔄 **Independence**: Virtual machines are independent of underlying hardware - can be moved, copied, and restored like files. + +**Physical vs Virtual Resource Mapping** +```mermaid +flowchart LR + subgraph "Physical Layer" + cpu["🧠 Physical CPU
Intel Xeon 16-core
3.2 GHz"] + memory["💾 Physical RAM
64GB DDR4
ECC Memory"] + storage["💿 Physical Storage
2TB NVMe SSD
RAID Controller"] + network["🌐 Physical NIC
10Gbps Ethernet
Fiber Optic"] + end + + subgraph "Abstraction Layer" + hypervisor["⚙️ Hypervisor
Resource Manager
Hardware Abstraction"] + end + + subgraph "Virtual Layer" + vcpu["🧠 Virtual CPUs
4 vCPUs to VM1
6 vCPUs to VM2"] + vmem["💾 Virtual Memory
8GB to VM1
16GB to VM2"] + vdisk["💿 Virtual Disks
200GB to VM1
500GB to VM2"] + vnic["🌐 Virtual NICs
1Gbps to VM1
1Gbps to VM2"] + end + + cpu --> hypervisor + memory --> hypervisor + storage --> hypervisor + network --> hypervisor + + hypervisor --> vcpu + hypervisor --> vmem + hypervisor --> vdisk + hypervisor --> vnic +``` + +* 🔧 **Key Virtualization Concepts**: + * **🎯 Abstraction**: Hide hardware complexity from virtual machines + * **🔄 Multiplexing**: Share physical resources among multiple VMs + * **🏠 Isolation**: Each VM operates independently, protected from others + * **📦 Encapsulation**: VM state can be saved, copied, and restored + * **🚚 Portability**: VMs can run on different physical hardware +* 📊 **Resource Allocation Examples**: + * **CPU**: Physical cores shared among VMs using time-slicing + * **Memory**: Physical RAM allocated to VMs with memory ballooning + * **Storage**: Physical disks appear as virtual disk files + * **Network**: Physical NICs shared through virtual switches +* 🎮 **Gaming Analogy**: Like running multiple games on your computer - each game thinks it has full access to your hardware, but the operating system manages sharing + +🔗 **Resources:** +* [Understanding Virtualization Concepts](https://www.redhat.com/en/topics/virtualization/what-is-virtualization) +* [Virtualization Fundamentals](https://docs.microsoft.com/en-us/virtualization/) +* [NIST Definition of Cloud Computing](https://nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800-145.pdf) + +--- + +## 📍 Slide 4 – 🎯 Benefits of Virtualization (Cost, Efficiency, Flexibility) + +* 💰 **Cost Reduction**: Massive savings through server consolidation, reduced hardware purchases, and lower operational expenses. +* ⚡ **Improved Efficiency**: Increase hardware utilization from 15% to 80%+, better resource allocation and management. +* 🔄 **Enhanced Flexibility**: Rapid provisioning, easy scaling, and quick response to changing business needs. +* 🛡️ **Better Security**: Isolated environments, easier backup and disaster recovery, and improved compliance. +* 🌱 **Environmental Benefits**: Reduced power consumption, cooling requirements, and data center footprint. + +**Virtualization Benefits Breakdown** +```mermaid +flowchart LR + subgraph "💰 Cost Benefits" + hardware_cost["🖥️ Hardware Costs
60% reduction
Server consolidation"] + operational["⚙️ Operational Costs
40% reduction
Less maintenance"] + power["⚡ Power & Cooling
70% reduction
Fewer physical servers"] + end + + subgraph "📈 Efficiency Gains" + utilization["📊 Hardware Utilization
15% → 80%
Better resource usage"] + automation["🤖 Automation
Faster deployment
Self-service provisioning"] + management["🎛️ Centralized Management
Single console
Unified administration"] + end + + subgraph "🚀 Business Agility" + provisioning["⚡ Rapid Provisioning
Minutes vs weeks
On-demand resources"] + scaling["📈 Easy Scaling
Add/remove resources
Dynamic allocation"] + testing["🧪 Dev/Test Environments
Quick cloning
Isolated testing"] + end +``` + +* 📊 **Real-World Impact Statistics**: + * 💰 **Total Cost of Ownership**: 50-70% reduction over 3 years + * ⚡ **Power Consumption**: 80% less electricity usage + * 🏗️ **Data Center Space**: 75% reduction in rack space needed + * ⏱️ **Deployment Time**: From weeks to minutes for new servers + * 🔄 **Hardware Refresh Cycles**: Extended from 3-4 years to 5-7 years +* 🎯 **Strategic Business Benefits**: + * **🚀 Faster Time-to-Market**: Rapid application deployment + * **🔄 Business Continuity**: Better disaster recovery capabilities + * **📊 Improved SLAs**: Higher availability through redundancy + * **🌍 Global Reach**: Easy replication across geographic locations + * **🧪 Innovation Enablement**: Lower-cost experimentation and development + +**Before vs After Virtualization** +```mermaid +flowchart LR + subgraph "❌ Before Virtualization" + before_servers["🖥️ 20 Physical Servers
15% utilization each
High power consumption"] + before_cost["💰 High Costs
$200K hardware
$50K annual power"] + before_time["⏳ Slow Deployment
2-4 weeks setup
Manual configuration"] + end + + subgraph "✅ After Virtualization" + after_servers["🖥️ 4 Physical Servers
80% utilization each
20 virtual machines"] + after_cost["💰 Lower Costs
$80K hardware
$15K annual power"] + after_time["⚡ Fast Deployment
15 minutes setup
Template-based"] + end + + before_servers --> after_servers + before_cost --> after_cost + before_time --> after_time +``` + +* ⚠️ **Important Considerations**: + * 🔒 **Security**: Proper isolation and access controls essential + * 📈 **Performance**: Some overhead compared to bare metal + * 🧠 **Complexity**: Requires specialized skills and management tools + * 💾 **Resource Contention**: Over-allocation can cause performance issues + * 🔄 **Vendor Lock-in**: Dependency on hypervisor technology + +🔗 **Resources:** +* [VMware ROI Calculator](https://www.vmware.com/products/vsphere/roi-calculator.html) +* [Gartner Virtualization Market Analysis](https://www.gartner.com/en/information-technology/insights/virtualization) +* [IDC Virtualization Economic Impact Study](https://www.idc.com/) + +--- + +## 📍 Slide 5 – ⚠️ Challenges & Limitations of Virtualization + +* 🐌 **Performance Overhead**: Hypervisor layer introduces 5-15% performance penalty compared to bare metal systems. +* 🧩 **Complexity Increase**: More layers mean more things that can go wrong - hypervisors, virtual networks, shared storage systems. +* 💰 **Licensing Costs**: Software licensing can become complex and expensive with per-core or per-socket models. +* 🔒 **Security Risks**: New attack vectors like VM escape, hypervisor vulnerabilities, and inter-VM attacks. +* 👨‍💻 **Skills Gap**: Requires specialized knowledge - traditional sysadmins need retraining on virtualization technologies. + +**Common Virtualization Challenges** +```mermaid +flowchart LR + subgraph "🚫 Technical Challenges" + performance["📉 Performance Issues
• CPU overhead
• Memory ballooning
• I/O bottlenecks"] + resource["⚖️ Resource Contention
• Noisy neighbors
• Over-provisioning
• Storage conflicts"] + compatibility["🔧 Compatibility
• Legacy applications
• Hardware dependencies
• OS limitations"] + end + + subgraph "💼 Business Challenges" + cost["💰 Hidden Costs
• Complex licensing
• Training expenses
• Management tools"] + vendor_lock["🔒 Vendor Lock-in
• Proprietary formats
• Migration difficulties
• Feature dependencies"] + compliance["📋 Compliance
• Regulatory issues
• Audit complexities
• Data sovereignty"] + end + + subgraph "🛡️ Security Challenges" + attack_surface["🎯 Expanded Attack Surface
• Hypervisor vulnerabilities
• VM escape attacks
• Management interfaces"] + isolation["🏠 Isolation Concerns
• Inter-VM communication
• Shared resources
• Data leakage"] + end +``` + +* 💔 **Real-World Virtualization Disasters**: + * **🔥 The Great VM Sprawl of 2008**: Company deployed 500+ VMs, lost track, 60% were zombie VMs consuming resources + * **💥 Storage Apocalypse**: Bank's shared storage failed, took down 200 VMs simultaneously - no isolation! + * **🐛 The Hypervisor Bug**: Critical hypervisor vulnerability affected 70% of data centers worldwide in 2018 + * **⚡ Power Play Gone Wrong**: Data center power failure caused VM corruption due to improper storage configuration +* 📊 **Performance Impact Examples**: + * **Database Workloads**: 10-20% performance penalty typical + * **High I/O Applications**: Up to 30% slower on virtualized storage + * **Real-time Systems**: Jitter and latency issues with hypervisor scheduling + * **Graphics-Intensive Apps**: Limited GPU virtualization options until recently + +**Virtualization Failure Points** +```mermaid +flowchart LR + subgraph "💥 Single Points of Failure" + hypervisor_fail["⚙️ Hypervisor Failure
All VMs on host lost
Kernel panic impact"] + storage_fail["💾 Shared Storage Failure
Multiple VMs affected
Data corruption risk"] + network_fail["🌐 Virtual Network Failure
VM isolation broken
Communication lost"] + management_fail["🎛️ Management Failure
Cannot control VMs
Locked out scenarios"] + end + + subgraph "🔧 Mitigation Strategies" + clustering["🔄 Clustering
High availability
Automatic failover"] + backup["💾 Robust Backups
VM-level snapshots
Disaster recovery"] + monitoring["📊 Proactive Monitoring
Performance tracking
Health checks"] + training["🎓 Staff Training
Skill development
Best practices"] + end + + hypervisor_fail --> clustering + storage_fail --> backup + network_fail --> monitoring + management_fail --> training +``` + +* 🎯 **When NOT to Virtualize**: + * **🎮 High-Performance Computing**: CPU-intensive scientific applications + * **⚡ Real-time Systems**: Industrial control systems requiring deterministic responses + * **🛡️ Ultra-secure Applications**: Systems requiring hardware-based security modules + * **📊 I/O Intensive Databases**: Applications requiring maximum storage performance + * **🎨 Graphics Workstations**: CAD/CAM applications requiring dedicated GPU access +* 🔄 **Modern Solutions**: + * **Container Technology**: Lightweight alternative for many use cases + * **Hybrid Approaches**: Mix of physical, virtual, and containerized workloads + * **Cloud-Native Design**: Applications built specifically for virtualized environments + * **Performance Optimization**: Hardware-assisted virtualization (Intel VT-x, AMD-V) + +--- + +### 🎭 **Interactive Break: "Virtualization Horror Stories"** + +**👻 Share Your Virtualization Nightmares!** + +*Time for some fun! Let's hear about virtualization disasters - either ones you've experienced or funny stories you've heard. Here are some conversation starters:* + +* 😱 **"The VM that Ate Everything"**: Ever seen a VM consume all available resources? +* 🔥 **"Oops, I Deleted Production"**: Accidentally deleted the wrong VM template? +* 🐛 **"The Mystery of the Slow Database"**: Spent days troubleshooting only to find it was a virtualization issue? +* 🌪️ **"VM Sprawl Tornado"**: Discovered hundreds of forgotten VMs running in your environment? + +**🎯 Discussion Questions:** +1. What's the most expensive virtualization mistake you've heard about? +2. Which sounds scarier: hardware failure or hypervisor failure? Why? +3. If you were CTO, what's your biggest concern about going "all virtual"? + +*Remember: We learn more from failures than successes! These stories help us avoid the same mistakes.* 😄 + +--- + +🔗 **Resources:** +* [Virtualization Security Best Practices](https://www.nist.gov/publications/guide-security-full-virtualization-technologies) +* [Common Virtualization Mistakes](https://www.vmware.com/content/dam/digitalmarketing/vmware/en/pdf/whitepaper/virtualization-best-practices-wp.pdf) +* [Gartner Magic Quadrant for x86 Server Virtualization](https://www.gartner.com/en/documents/3989774) +* [Performance Tuning Guide](https://docs.vmware.com/en/VMware-vSphere/index.html) + +--- + +## 📍 Slide 6 – 🧠 Hypervisor Fundamentals - The Virtual Machine Monitor + +* 🎭 **Hypervisor** = Virtual Machine Monitor (VMM), the software layer that creates and manages virtual machines by controlling access to physical hardware. +* 🏗️ **Core Function**: Acts as a "traffic controller" between virtual machines and physical hardware, ensuring each VM gets its fair share of resources. +* 🛡️ **Isolation Provider**: Creates secure boundaries between VMs so they cannot interfere with each other or access each other's data. +* ⚙️ **Resource Manager**: Dynamically allocates CPU, memory, storage, and network resources among running virtual machines. +* 🎯 **Hardware Abstraction**: Presents a standardized "virtual hardware" interface to guest operating systems, hiding physical hardware details. + +**Hypervisor Architecture Overview** +```mermaid +flowchart LR + subgraph "Virtual Machine Layer" + vm1["💻 VM 1
Windows Server
Web Application"] + vm2["🐧 VM 2
Linux Ubuntu
Database Server"] + vm3["🎯 VM 3
CentOS
Development Environment"] + end + + subgraph "Hypervisor Layer" + hypervisor["🧠 Hypervisor (VMM)
• Resource Scheduling
• Memory Management
• I/O Virtualization
• Security Isolation"] + end + + subgraph "Physical Hardware Layer" + cpu["🧠 CPU Cores
Intel/AMD Processors"] + memory["💾 RAM Memory
System Memory"] + storage["💿 Storage
SSD/HDD Drives"] + network["🌐 Network
Ethernet Controllers"] + end + + vm1 --> hypervisor + vm2 --> hypervisor + vm3 --> hypervisor + + hypervisor --> cpu + hypervisor --> memory + hypervisor --> storage + hypervisor --> network +``` + +* 🔧 **Key Hypervisor Responsibilities**: + * **📊 CPU Virtualization**: Time-slice physical cores among VMs, handle instruction translation + * **💾 Memory Virtualization**: Manage virtual-to-physical memory mapping, prevent memory conflicts + * **💿 Storage Virtualization**: Present virtual disks to VMs, manage actual storage allocation + * **🌐 Network Virtualization**: Create virtual switches and network interfaces for VM communication + * **🎛️ Device Emulation**: Provide virtual devices (graphics, sound, USB) that VMs can use +* 🎮 **Gaming Console Analogy**: Like a gaming console that runs multiple games - each game thinks it has full access to the console, but the system manages sharing the hardware +* 🏆 **Industry Standards**: Most hypervisors follow similar principles but implement them differently (VMware vSphere, Microsoft Hyper-V, Citrix Xen) +* 🔍 **Hardware Requirements**: Modern CPUs include virtualization extensions (Intel VT-x, AMD-V) to make hypervisors more efficient + +🔗 **Resources:** +* [Intel Virtualization Technology](https://www.intel.com/content/www/us/en/virtualization/virtualization-technology/intel-virtualization-technology.html) +* [AMD Virtualization](https://www.amd.com/en/technologies/virtualization) +* [Hypervisor Comparison Guide](https://www.vmware.com/topics/glossary/content/hypervisor.html) + +--- + +## 📍 Slide 7 – 🏗️ Type 1 Hypervisors (Bare Metal) - VMware ESXi, Hyper-V, Xen + +* 🏗️ **Type 1 Hypervisor** = "Bare Metal" hypervisor that runs directly on physical hardware without needing a host operating system. +* ⚡ **Performance Advantage**: Direct hardware access provides better performance and lower overhead compared to Type 2 hypervisors. +* 🏢 **Enterprise Focus**: Designed for data centers and production environments where performance, reliability, and scalability are critical. +* 🛡️ **Enhanced Security**: Smaller attack surface since there's no underlying operating system that could be compromised. +* 💰 **Higher Cost**: Typically requires enterprise licensing but provides advanced features like live migration and clustering. + +**Type 1 Hypervisor Architecture** +```mermaid +flowchart LR + subgraph "Virtual Machines" + vm1["💻 VM 1
Production Web Server
24/7 Operation"] + vm2["🗄️ VM 2
Database Server
High Performance"] + vm3["📊 VM 3
Analytics Platform
Resource Intensive"] + vm4["🧪 VM 4
Development Server
Isolated Environment"] + end + + subgraph "Management Layer" + management["🎛️ Management Interface
vCenter, System Center
Web-based Console"] + end + + subgraph "Type 1 Hypervisor" + hypervisor["🏗️ Bare Metal Hypervisor
• Direct hardware control
• Minimal overhead
• Enterprise features
• High availability"] + end + + subgraph "Physical Hardware" + server["🖥️ Physical Server
Enterprise-grade hardware
Multiple CPUs, lots of RAM"] + end + + vm1 --> hypervisor + vm2 --> hypervisor + vm3 --> hypervisor + vm4 --> hypervisor + + management --> hypervisor + hypervisor --> server +``` + +* 🏆 **Major Type 1 Hypervisors**: + * **🚀 VMware vSphere ESXi**: Market leader, advanced features, enterprise-focused + * 📊 **Market Share**: ~75% of enterprise virtualization + * 🎯 **Strengths**: Mature ecosystem, excellent tools, high performance + * 💰 **Licensing**: Per-processor, expensive but feature-rich + * **🔷 Microsoft Hyper-V**: Integrated with Windows Server, cost-effective + * 🏢 **Integration**: Deep Windows ecosystem integration + * 💰 **Cost**: Included with Windows Server license + * 🎯 **Target**: Windows-centric organizations + * **🦎 Citrix XenServer/XCP-ng**: Open-source option, high performance + * 🆓 **Open Source**: XCP-ng is free, community-supported + * ⚡ **Performance**: Excellent for Linux workloads + * 🎯 **Use Case**: Cost-conscious organizations, Linux-heavy environments + +**Type 1 Hypervisor Comparison** +```mermaid +flowchart LR + subgraph "🚀 VMware ESXi" + vmware_pros["✅ Pros
• Market leader
• Best tools
• Mature ecosystem
• Enterprise support"] + vmware_cons["❌ Cons
• Expensive licensing
• Vendor lock-in
• Complex pricing"] + end + + subgraph "🔷 Microsoft Hyper-V" + hyperv_pros["✅ Pros
• Windows integration
• Cost-effective
• Good performance
• Familiar interface"] + hyperv_cons["❌ Cons
• Windows-centric
• Fewer third-party tools
• Limited Linux support"] + end + + subgraph "🦎 Citrix Xen/XCP-ng" + xen_pros["✅ Pros
• Open source option
• High performance
• Low cost
• Good for Linux"] + xen_cons["❌ Cons
• Smaller ecosystem
• Less enterprise support
• Steeper learning curve"] + end +``` + +* 🎯 **When to Choose Type 1**: + * **🏢 Production Environments**: Mission-critical applications requiring high availability + * **📈 High Performance Needs**: Applications that cannot tolerate hypervisor overhead + * **🔄 Large Scale Deployments**: Data centers with hundreds or thousands of VMs + * **💼 Enterprise Requirements**: Need for advanced features like live migration, clustering +* 📊 **Typical Use Cases**: + * **Cloud Service Providers**: AWS, Azure, Google Cloud use custom Type 1 hypervisors + * **Enterprise Data Centers**: Large corporations running business-critical applications + * **Hosting Providers**: Companies offering virtual private servers (VPS) + * **High-Performance Computing**: Scientific computing clusters with virtualization needs + +🔗 **Resources:** +* [VMware vSphere Documentation](https://docs.vmware.com/en/VMware-vSphere/index.html) +* [Microsoft Hyper-V Guide](https://docs.microsoft.com/en-us/windows-server/virtualization/hyper-v/) +* [XCP-ng Open Source Hypervisor](https://xcp-ng.org/) +* [Gartner Magic Quadrant x86 Server Virtualization](https://www.gartner.com/en/documents/3989774) + +--- + +## 📍 Slide 8 – 🖥️ Type 2 Hypervisors (Hosted) - VirtualBox, VMware Workstation + +* 🖥️ **Type 2 Hypervisor** = "Hosted" hypervisor that runs on top of a traditional operating system (Windows, macOS, Linux). +* 🏠 **Desktop Focused**: Designed for individual users, developers, and small-scale testing rather than enterprise production. +* 💡 **Easy to Use**: Simple installation and management - just install like any other application on your computer. +* 💰 **Cost Effective**: Many options are free or low-cost, making them perfect for learning and development. +* 🎯 **Flexibility**: Can run alongside regular desktop applications, making them ideal for development and testing. + +**Type 2 Hypervisor Architecture** +```mermaid +flowchart LR + subgraph "Virtual Machines" + vm1["🧪 VM 1
Test Environment
Ubuntu Linux"] + vm2["🎯 VM 2
Development Server
Windows Server"] + vm3["📱 VM 3
Mobile Testing
Android Emulator"] + end + + subgraph "Type 2 Hypervisor" + hypervisor["🖥️ Hosted Hypervisor
VirtualBox, VMware Workstation
Runs as application"] + end + + subgraph "Host Operating System" + host_os["💻 Host OS
Windows 11, macOS, Ubuntu
User's main system"] + other_apps["📊 Other Applications
Office, Browser, IDE
Running simultaneously"] + end + + subgraph "Physical Hardware" + hardware["🖥️ Desktop/Laptop
Consumer-grade hardware
Personal computer"] + end + + vm1 --> hypervisor + vm2 --> hypervisor + vm3 --> hypervisor + + hypervisor --> host_os + other_apps --> host_os + + host_os --> hardware +``` + +* 🏆 **Popular Type 2 Hypervisors**: + * **📦 Oracle VirtualBox**: Free, cross-platform, perfect for learning + * 🆓 **Cost**: Completely free, open-source + * 🌍 **Platform Support**: Windows, macOS, Linux, Solaris + * 🎯 **Best For**: Students, developers, home users + * 🔧 **Features**: Easy snapshots, shared folders, guest additions + * **⚡ VMware Workstation Pro**: Professional features, excellent performance + * 💰 **Cost**: ~$250, commercial license + * 🚀 **Performance**: Better than VirtualBox for demanding workloads + * 🛠️ **Advanced Features**: Multiple snapshots, cloning, team collaboration + * 🎯 **Best For**: Professional developers, IT professionals + * **🍎 Parallels Desktop**: macOS-focused, seamless integration + * 🍎 **Platform**: macOS only, optimized for Mac hardware + * 🎨 **User Experience**: Excellent Mac integration, "Coherence" mode + * 💰 **Cost**: ~$100/year subscription model + * 🎯 **Best For**: Mac users running Windows applications + +**Type 2 Hypervisor Feature Comparison** +```mermaid +flowchart LR + subgraph "📦 Oracle VirtualBox" + vbox_features["🔧 Features
• Free & open source
• Cross-platform
• Easy to use
• Good for learning
• Extensive format support"] + vbox_performance["📊 Performance
• Moderate performance
• Good for development
• Limited 3D acceleration
• Adequate for testing"] + end + + subgraph "⚡ VMware Workstation" + vmware_features["🔧 Features
• Professional tools
• Advanced snapshots
• Team collaboration
• Better hardware support
• Integration with vSphere"] + vmware_performance["📊 Performance
• Excellent performance
• Good 3D acceleration
• Better memory management
• Optimized for workstations"] + end + + subgraph "🍎 Parallels Desktop" + parallels_features["🔧 Features
• Mac-specific optimization
• Coherence mode
• TouchBar support
• Windows integration
• Gaming optimization"] + parallels_performance["📊 Performance
• Excellent on Mac
• Native Mac integration
• Good graphics performance
• Optimized for M1/M2 chips"] + end +``` + +* 🎯 **Common Use Cases for Type 2**: + * **👨‍💻 Software Development**: Test applications on different operating systems + * **🧪 Learning & Training**: Experiment with new operating systems safely + * **🔒 Security Testing**: Isolated environment for testing suspicious software + * **🏢 Legacy Applications**: Run old software that requires specific OS versions + * **🎮 Gaming**: Run Windows games on Mac or Linux systems + * **📚 Education**: Students learning system administration or cybersecurity +* ⚠️ **Limitations to Consider**: + * **📉 Performance Overhead**: Host OS consumes resources, reducing VM performance + * **🔧 Hardware Compatibility**: Limited access to specialized hardware + * **📊 Scalability**: Not suitable for running many VMs simultaneously + * **🛡️ Security**: Host OS vulnerabilities can affect all VMs + +**Development Workflow Example** +```mermaid +flowchart LR + developer["👨‍💻 Developer
Writing Code"] + + subgraph "Host System" + ide["💻 IDE
VS Code, IntelliJ"] + browser["🌐 Browser
Testing & Documentation"] + vm_manager["📦 VirtualBox
VM Management"] + end + + subgraph "Test VMs" + linux_vm["🐧 Linux VM
Backend Testing"] + windows_vm["🪟 Windows VM
Frontend Testing"] + db_vm["🗄️ Database VM
Isolated DB Testing"] + end + + developer --> ide + developer --> browser + developer --> vm_manager + + vm_manager --> linux_vm + vm_manager --> windows_vm + vm_manager --> db_vm +``` + +🔗 **Resources:** +* [Oracle VirtualBox Documentation](https://www.virtualbox.org/wiki/Documentation) +* [VMware Workstation User Guide](https://docs.vmware.com/en/VMware-Workstation-Pro/) +* [Parallels Desktop Support](https://www.parallels.com/products/desktop/) +* [Type 2 Hypervisor Comparison](https://www.vmware.com/topics/glossary/content/hypervisor.html) + +--- + +## 📍 Slide 9 – ⚖️ Type 1 vs Type 2 Comparison & Use Cases + +* 🏗️ **Architecture Difference**: Type 1 runs directly on hardware (bare metal), Type 2 runs on top of existing operating system. +* ⚡ **Performance Gap**: Type 1 provides better performance due to direct hardware access, Type 2 has overhead from host OS. +* 💰 **Cost Consideration**: Type 1 typically expensive enterprise solutions, Type 2 ranges from free to moderate cost. +* 🎯 **Target Audience**: Type 1 for enterprises and data centers, Type 2 for developers and desktop users. +* 🔧 **Complexity Level**: Type 1 requires dedicated hardware and expertise, Type 2 easy to install and manage. + +**Direct Architecture Comparison** +```mermaid +flowchart TD + subgraph "🏗️ Type 1 (Bare Metal)" + t1_vm1["💻 VM 1"] + t1_vm2["💻 VM 2"] + t1_vm3["💻 VM 3"] + t1_hypervisor["🧠 Type 1 Hypervisor
Direct hardware control"] + t1_hardware["🖥️ Physical Hardware
Enterprise server"] + + t1_vm1 --> t1_hypervisor + t1_vm2 --> t1_hypervisor + t1_vm3 --> t1_hypervisor + t1_hypervisor --> t1_hardware + end + + subgraph "🖥️ Type 2 (Hosted)" + t2_vm1["💻 VM 1"] + t2_vm2["💻 VM 2"] + t2_hypervisor["🧠 Type 2 Hypervisor
Application layer"] + t2_hostos["💻 Host Operating System
Windows/macOS/Linux"] + t2_hardware["🖥️ Physical Hardware
Desktop/laptop"] + + t2_vm1 --> t2_hypervisor + t2_vm2 --> t2_hypervisor + t2_hypervisor --> t2_hostos + t2_hostos --> t2_hardware + end +``` + +* 📊 **Detailed Comparison Matrix**: + +| **Aspect** | **🏗️ Type 1 (Bare Metal)** | **🖥️ Type 2 (Hosted)** | +|------------|---------------------------|------------------------| +| **Performance** | ⚡ Excellent (5-10% overhead) | 📉 Good (15-25% overhead) | +| **Cost** | 💰 High ($1000s) | 💰 Low to Medium ($0-$300) | +| **Complexity** | 🔧 High (requires expertise) | 🔧 Low (easy install) | +| **Scalability** | 📈 Excellent (1000s of VMs) | 📉 Limited (5-10 VMs) | +| **Management** | 🎛️ Enterprise tools required | 🎛️ Simple GUI interface | +| **Hardware** | 🖥️ Dedicated server required | 🖥️ Existing desktop/laptop | +| **Reliability** | 🛡️ Enterprise-grade | 🛡️ Dependent on host OS | +| **Features** | 🚀 Advanced (HA, migration) | 🚀 Basic to moderate | + +* 🎯 **Use Case Decision Tree**: + +**When to Choose Type 1:** +- 🏢 **Production Environments**: Running business-critical applications 24/7 +- 📈 **High Performance Requirements**: Database servers, web applications with heavy load +- 🔄 **Large Scale**: Need to run dozens or hundreds of VMs +- 💼 **Enterprise Features**: Require high availability, live migration, clustering +- 🛡️ **Maximum Security**: Need isolation and minimal attack surface +- 💰 **Budget Available**: Can afford enterprise licensing and dedicated hardware + +**When to Choose Type 2:** +- 👨‍💻 **Development & Testing**: Creating and testing applications locally +- 🧪 **Learning Environment**: Students or professionals learning new technologies +- 🏠 **Desktop Use**: Running different OS on personal computer +- 💡 **Proof of Concept**: Quick testing of ideas or configurations +- 💰 **Budget Constrained**: Need cost-effective virtualization solution +- 🔧 **Simple Requirements**: Don't need advanced enterprise features + +**Real-World Scenario Examples** +```mermaid +flowchart TD + subgraph "🏢 Enterprise Scenario" + enterprise["Large Company
1000 employees
Mission-critical apps"] + enterprise_choice["✅ Type 1 Choice
VMware vSphere
$50K+ investment
24/7 operation"] + enterprise --> enterprise_choice + end + + subgraph "👨‍💻 Developer Scenario" + developer["Software Developer
Testing multiple OS
Limited budget"] + developer_choice["✅ Type 2 Choice
VirtualBox
Free solution
Desktop integration"] + developer --> developer_choice + end + + subgraph "🎓 Educational Scenario" + student["IT Student
Learning systems
Home lab setup"] + student_choice["✅ Type 2 Choice
VMware Workstation
Student discount
Easy snapshots"] + student --> student_choice + end +``` + +* 🔄 **Hybrid Approaches**: + * **📊 Development Pipeline**: Type 2 for development, Type 1 for testing/production + * **🏢 Mixed Environment**: Type 1 for servers, Type 2 for desktop virtualization + * **🌊 Cloud Integration**: Local Type 2 development, cloud Type 1 deployment + * **📱 Container Hybrid**: Containers on Type 1 hypervisors for best of both worlds +* 🎯 **Migration Paths**: + * **📈 Growth Path**: Start with Type 2 for learning, migrate to Type 1 for production + * **🔄 P2V (Physical-to-Virtual)**: Convert physical servers to Type 1 VMs + * **☁️ Cloud Migration**: Move Type 1 VMs to cloud platforms (AWS, Azure) + * **🐳 Containerization**: Migrate VMs to container platforms for modern architectures + +🔗 **Resources:** +* [VMware Type 1 vs Type 2 Comparison](https://www.vmware.com/topics/glossary/content/hypervisor.html) +* [Hypervisor Selection Guide](https://www.redhat.com/en/topics/virtualization/what-is-a-hypervisor) +* [Enterprise Virtualization Best Practices](https://docs.vmware.com/en/VMware-vSphere/7.0/com.vmware.vsphere.bestpractices.doc/GUID-E7EEF9A8-5154-4A5F-A50C-6B73C3BB7B2F.html) + +--- + +## 📍 Slide 10 – 🔍 Hypervisor Architecture Deep Dive + +* 🧠 **CPU Virtualization**: How hypervisors handle processor instruction translation and scheduling among multiple virtual machines. +* 💾 **Memory Management**: Advanced techniques like memory ballooning, transparent page sharing, and memory overcommitment. +* 🎛️ **I/O Virtualization**: How hypervisors manage storage and network access for multiple VMs efficiently. +* 🔒 **Security Isolation**: Hardware and software mechanisms that ensure VMs cannot interfere with each other. +* ⚙️ **Hardware Assistance**: Modern CPU features (Intel VT-x, AMD-V) that make virtualization more efficient. + +**Complete Hypervisor Architecture Stack** +```mermaid +flowchart LR + subgraph "🎮 Guest Operating Systems" + guest_os1["🪟 Windows Server
Applications & Services
Guest OS Kernel"] + guest_os2["🐧 Linux Ubuntu
Applications & Services
Guest OS Kernel"] + guest_os3["🍎 macOS
Applications & Services
Guest OS Kernel"] + end + + subgraph "🧠 Hypervisor Core Components" + cpu_scheduler["⚡ CPU Scheduler
Time slicing
Core allocation"] + memory_manager["💾 Memory Manager
Virtual-to-physical mapping
Page sharing"] + io_manager["💿 I/O Manager
Storage virtualization
Network virtualization"] + security_layer["🔒 Security Layer
VM isolation
Access control"] + end + + subgraph "🔧 Hardware Abstraction Layer" + virtual_hardware["🎭 Virtual Hardware
Virtual CPU, RAM, Disk
Standardized interfaces"] + end + + subgraph "🖥️ Physical Hardware" + cpu_hw["🧠 Physical CPUs
Intel VT-x/AMD-V
Hardware virtualization"] + memory_hw["💾 Physical RAM
ECC Memory
Large capacity"] + storage_hw["💿 Storage Systems
SAN/NAS
High-performance"] + network_hw["🌐 Network Cards
10Gbps+ interfaces
SR-IOV support"] + end + + guest_os1 --> cpu_scheduler + guest_os2 --> memory_manager + guest_os3 --> io_manager + + cpu_scheduler --> virtual_hardware + memory_manager --> virtual_hardware + io_manager --> virtual_hardware + security_layer --> virtual_hardware + + virtual_hardware --> cpu_hw + virtual_hardware --> memory_hw + virtual_hardware --> storage_hw + virtual_hardware --> network_hw +``` + +* ⚡ **CPU Virtualization Deep Dive**: + * **🎯 Ring Compression**: Guest OS runs in non-privileged mode, hypervisor intercepts privileged instructions + * **🔄 Binary Translation**: Convert x86 instructions on-the-fly for compatibility + * **🚀 Hardware Acceleration**: Intel VT-x and AMD-V provide direct execution support + * **📊 CPU Scheduling**: Fair-share scheduling ensures each VM gets appropriate CPU time + * **🧮 NUMA Awareness**: Optimize memory access on multi-socket systems +* 💾 **Advanced Memory Management**: + * **🎈 Memory Ballooning**: Dynamically reclaim unused memory from VMs + * **📄 Transparent Page Sharing**: Deduplicate identical memory pages across VMs + * **🗜️ Memory Compression**: Compress less-used memory pages to save space + * **💫 Memory Overcommitment**: Allocate more virtual memory than physical memory + * **🔄 NUMA Optimization**: Place VM memory close to assigned CPU cores + +**Memory Virtualization Techniques** +```mermaid +flowchart LR + subgraph "💾 Virtual Memory Management" + vm_memory["Virtual Machine Memory
8GB allocated to VM1
16GB allocated to VM2"] + hypervisor_memory["Hypervisor Memory Manager
Handles allocation
Implements sharing"] + end + + subgraph "🧠 Memory Optimization" + ballooning["🎈 Memory Ballooning
Reclaim unused pages
Dynamic adjustment"] + sharing["📄 Page Sharing
Deduplicate identical pages
Save physical memory"] + compression["🗜️ Memory Compression
Compress inactive pages
Reduce memory pressure"] + overcommit["📈 Overcommitment
Allocate more than physical
Statistical multiplexing"] + end + + subgraph "🖥️ Physical Memory" + physical_ram["Physical RAM
64GB total capacity
NUMA-aware allocation"] + end + + vm_memory --> hypervisor_memory + hypervisor_memory --> ballooning + hypervisor_memory --> sharing + hypervisor_memory --> compression + hypervisor_memory --> overcommit + + ballooning --> physical_ram + sharing --> physical_ram + compression --> physical_ram + overcommit --> physical_ram +``` + +* 🎛️ **I/O Virtualization Architecture**: + * **🔌 Device Emulation**: Software emulation of standard devices (IDE, E1000 network) + * **🚀 Paravirtualization**: Guest-aware drivers for better performance (VMXNET3, PVSCSI) + * **⚡ SR-IOV**: Hardware-level I/O virtualization for near-native performance + * **🎯 Direct Device Assignment**: Pass-through specific hardware directly to VMs + * **📊 I/O Scheduling**: Fair queuing and prioritization of I/O requests +* 🔒 **Security and Isolation Mechanisms**: + * **🏰 Hardware Isolation**: CPU rings, memory protection, IOMMU + * **🛡️ Software Isolation**: Hypervisor-enforced boundaries between VMs + * **🔐 Secure Boot**: Verify hypervisor and VM integrity at startup + * **🎭 VM Encryption**: Encrypt VM memory and storage for enhanced security + * **👁️ Monitoring**: Real-time security monitoring and intrusion detection + +**Modern Hypervisor Performance Features** +```mermaid +flowchart LR + subgraph "⚡ Performance Enhancements" + hardware_assist["🚀 Hardware Assistance
Intel VT-x, AMD-V
Reduced overhead"] + numa_aware["🧮 NUMA Optimization
CPU-memory locality
Better performance"] + large_pages["📄 Large Memory Pages
Reduced TLB misses
Better memory performance"] + end + + subgraph "🔧 Advanced Features" + live_migration["🔄 Live Migration
Move running VMs
Zero downtime"] + high_availability["🛡️ High Availability
Automatic failover
Cluster management"] + resource_pools["📊 Resource Pools
Dynamic allocation
Load balancing"] + end + + subgraph "📈 Scalability Features" + distributed_switch["🌐 Distributed Switching
Network virtualization
Centralized management"] + storage_vmotion["💾 Storage vMotion
Live storage migration
No downtime"] + drs["🎯 Dynamic Resource Scheduling
Automatic load balancing
Optimal placement"] + end +``` + +* 🎯 **Hypervisor Performance Tuning**: + * **📊 Right-sizing VMs**: Allocate appropriate resources based on workload + * **🔄 CPU Affinity**: Pin VMs to specific CPU cores for consistent performance + * **💾 Memory Reservation**: Guarantee minimum memory for critical VMs + * **📈 Resource Limits**: Prevent any VM from consuming excessive resources + * **🎛️ Advanced Settings**: Tune hypervisor parameters for specific workloads +* ⚠️ **Common Architecture Pitfalls**: + * **🎈 Memory Overcommitment**: Too aggressive can cause swapping and performance issues + * **📊 CPU Oversubscription**: Too many vCPUs can cause scheduling delays + * **💿 Storage Bottlenecks**: Shared storage can become performance bottleneck + * **🌐 Network Congestion**: Virtual switches can limit network performance + * **🔒 Security Misconfigurations**: Improper isolation can create vulnerabilities + +--- + +### 🎭 **Interactive Break: "Hypervisor Battle Royale"** + +**⚔️ Choose Your Champion!** + +*Time for a fun hypervisor showdown! Let's debate the pros and cons of different hypervisors in various scenarios.* + +**🏆 Battle Scenarios:** +1. **🏢 Corporate Email Server**: VMware ESXi vs Microsoft Hyper-V vs XCP-ng +2. **👨‍💻 Developer Laptop**: VirtualBox vs VMware Workstation vs Parallels +3. **🎮 Gaming VM Setup**: Which hypervisor for running Windows games on Linux? +4. **🏠 Home Lab**: Best budget option for learning virtualization? +5. **☁️ Cloud Migration**: Moving from physical servers to virtual - which path? + +**🤔 Discussion Questions:** +1. Would you trust a free hypervisor with your company's main database? +2. What's more important: performance or ease of use? Why? +3. If you could design the perfect hypervisor, what features would it have? +4. Have you ever had a "hypervisor moment" - where virtualization saved the day? + +**🎯 Quick Poll:** +- Raise your hand if you've used VirtualBox! 📦 +- Who's brave enough to try VMware in production? 🚀 +- Anyone running multiple hypervisors? (Why?!) 🤹 + +*Remember: There's no "best" hypervisor - only the best fit for your specific needs!* 😄 + +--- + +🔗 **Resources:** +* [Intel Virtualization Technology Guide](https://www.intel.com/content/www/us/en/virtualization/virtualization-technology/intel-virtualization-technology.html) +* [Hypervisor Architecture Whitepaper](https://www.vmware.com/content/dam/digitalmarketing/vmware/en/pdf/techpaper/vmware-vsphere-cpu-sched-performance-white-paper.pdf) +* [Advanced Memory Management](https://docs.vmware.com/en/VMware-vSphere/7.0/com.vmware.vsphere.resmgmt.doc/GUID-49917C28-D8D9-43BE-BC3C-B5CFD9DE2F9B.html) +* [Hardware-Assisted Virtualization](https://software.intel.com/content/www/us/en/develop/articles/intel-virtualization-technology-for-directed-io-vt-d-enhancing-intel-platforms-for-efficient-virtualization-of-io-devices.html) + +--- + +## 📍 Slide 11 – 🐳 Container Revolution - Docker, Podman, containerd + +* 🐳 **Containers** = lightweight virtualization using OS-level isolation instead of hardware virtualization. +* ⚡ **Key Advantage**: Share host kernel, start in milliseconds, minimal resource overhead. +* 📦 **Container vs VM**: Containers virtualize the OS, VMs virtualize the hardware. +* 🔄 **Modern Reality**: 87% of organizations use containers in production (2024 CNCF survey). + +**Container Architecture vs Traditional VMs** +```mermaid +flowchart TD + subgraph "🐳 Container Architecture" + c_apps["📱 App 1
📱 App 2
📱 App 3"] + c_runtime["🐳 Container Runtime
Docker, Podman, containerd"] + c_os["🐧 Host OS
Shared Linux Kernel"] + c_hardware["🖥️ Physical Hardware"] + + c_apps --> c_runtime + c_runtime --> c_os + c_os --> c_hardware + end + + subgraph "💻 VM Architecture" + v_apps["📱 Apps"] + v_os["🖥️ Guest OS"] + v_hypervisor["⚙️ Hypervisor"] + v_hardware["🖥️ Physical Hardware"] + + v_apps --> v_os + v_os --> v_hypervisor + v_hypervisor --> v_hardware + end +``` + +* 🏆 **Major Container Runtimes**: + * **🐳 Docker**: Most popular, user-friendly, comprehensive ecosystem + * **🔴 Podman**: Daemonless, rootless, Red Hat-backed, Docker-compatible + * **⚙️ containerd**: Industry standard, CNCF project, used by Kubernetes + * **🚀 CRI-O**: Kubernetes-native, lightweight, OCI-compliant +* 📊 **Performance Comparison**: Containers start 10-100x faster than VMs, use 60% less memory. + +--- + +### 🏃‍♂️ **Interactive Break: "Container vs VM Speed Challenge"** + +**⏱️ Let's Race! Guess the Startup Times:** + +*Scenario: Starting a simple web server* + +**🤔 Your Predictions:** +1. **🐳 Container (nginx)**: _____ seconds? +2. **💻 VM (nginx on Ubuntu)**: _____ seconds? +3. **☁️ Serverless Function**: _____ milliseconds? + +**🏆 Actual Results:** +- 🐳 **Container**: 0.5 seconds +- 💻 **VM**: 45 seconds +- ☁️ **Serverless**: 100ms (warm) / 2000ms (cold) + +**🎯 Discussion:** +- When would you still choose VMs over containers? +- What's the trade-off for this speed? +- Have you seen containers fail where VMs succeed? + +--- + +🔗 **Resources:** +* [Docker Official Documentation](https://docs.docker.com/) +* [Podman Documentation](https://podman.io/) +* [CNCF Container Runtime Landscape](https://landscape.cncf.io/) + +--- + +## 📍 Slide 12 – ⚖️ VMs vs Containers - Architecture & Use Cases + +* 🏗️ **Isolation Level**: VMs provide hardware-level isolation, containers share OS kernel. +* 📊 **Resource Usage**: Containers use 60% less memory, 10x faster startup. +* 🛡️ **Security Model**: VMs offer stronger isolation, containers need careful security configuration. +* 🎯 **Best Fit**: VMs for different OS needs, containers for microservices and scalability. + +**When to Choose What** +```mermaid +flowchart LR + subgraph "🐳 Choose Containers For" + c_micro["🔗 Microservices
High scalability
Fast deployment"] + c_cicd["🚀 CI/CD Pipelines
Consistent environments
Rapid testing"] + c_cloud["☁️ Cloud-Native Apps
Horizontal scaling
DevOps workflows"] + end + + subgraph "💻 Choose VMs For" + v_legacy["🏢 Legacy Applications
Monolithic systems
OS dependencies"] + v_security["🛡️ High Security
Strong isolation
Compliance needs"] + v_multi["🔀 Multi-OS
Different kernels
Windows + Linux"] + end + + subgraph "🔄 Hybrid Approach" + h_both["🎯 Containers on VMs
Best of both worlds
Kubernetes clusters"] + end +``` + +* 📈 **Industry Adoption (2024)**: + * **Containers**: 87% of orgs, primarily microservices and web apps + * **VMs**: 95% of orgs, legacy systems and high-security workloads + * **Hybrid**: 73% run both, using VMs to host container clusters +* ⚡ **Performance Reality**: Containers ~5% overhead, VMs ~10-15% overhead + +--- + +### 🕵️ **Interactive Break: "Architecture Detective Game"** + +**🔍 Mystery Workloads - What Would You Choose?** + +**Case 1**: Banking application handling financial transactions +- 🛡️ High security requirements +- 🏢 Regulatory compliance (PCI-DSS) +- 🔒 Need strong isolation +**Your choice**: VM 💻 or Container 🐳? + +**Case 2**: Modern e-commerce website +- 🚀 Need to scale rapidly during sales +- 🔗 Microservices architecture +- ⚡ Fast deployment cycles +**Your choice**: VM 💻 or Container 🐳? + +**Case 3**: Data analytics pipeline +- 📊 Windows-based analytics tools +- 🐧 Linux-based processing engines +- 🔄 Need both environments +**Your choice**: VM 💻 or Container 🐳? + +**🎯 Reveal & Discuss!** + +--- + +🔗 **Resources:** +* [Container vs VM Performance Study](https://www.usenix.org/conference/lisa16/technical-sessions/presentation/sharma) +* [NIST Container Security Guide](https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-190.pdf) + +--- + +## 📍 Slide 13 – 🌐 WebAssembly (WASM) - Server-Side Revolution + +* 🌐 **WebAssembly (WASM)** = portable binary instruction format, originally for web browsers, now revolutionizing server-side computing. +* ⚡ **Key Benefits**: Near-native performance, language-agnostic, smaller than containers, enhanced security. +* 🚀 **WASI (WebAssembly System Interface)**: Enables WASM to run outside browsers with system access. +* 📦 **WASM Containers**: Combine container workflows with WASM efficiency - startup in microseconds. + +**WASM in the Server Landscape** +```mermaid +flowchart TD + subgraph "Traditional Stack" + t_lang["🐍 Python/JS/Go
Source Code"] + t_container["🐳 Container
OS dependencies"] + t_runtime["⚙️ Container Runtime
Docker/Podman"] + t_time["⏱️ Seconds to start"] + end + + subgraph "WASM Stack" + w_lang["🐍 Python/JS/Go
Compile to WASM"] + w_binary["⚡ WASM Binary
Portable bytecode"] + w_runtime["🌐 WASM Runtime
Wasmtime/Wasmer"] + w_time["⚡ Microseconds to start"] + end + + t_lang --> t_container --> t_runtime --> t_time + w_lang --> w_binary --> w_runtime --> w_time +``` + +* 🔥 **Hot Trends (2024-2025)**: + * **☁️ Serverless Functions**: Faster cold starts than traditional containers + * **🌐 Edge Computing**: Lightweight runtime perfect for CDN edge nodes + * **🔌 Plugin Systems**: Safe, sandboxed plugins for applications + * **🐳 WASM Containers**: Docker can now run WASM workloads +* 📊 **Performance**: 10-100x faster startup, 50% smaller binaries than containers + +--- + +### 🚀 **Interactive Break: "WASM Performance Showdown"** + +**⚡ Speed Test Challenge!** + +*Guess the performance metrics for a simple "Hello World" HTTP server:* + +| Metric | 🐳 Container | 🌐 WASM | 💻 VM | +|--------|-------------|---------|-------| +| **Startup Time** | ??? | ??? | ??? | +| **Memory Usage** | ??? | ??? | ??? | +| **Binary Size** | ??? | ??? | ??? | + +**🏆 Actual Results:** +- **Startup**: Container 500ms, WASM 1ms, VM 30s +- **Memory**: Container 30MB, WASM 8MB, VM 512MB +- **Size**: Container 50MB, WASM 2MB, VM 2GB + +**🤔 But wait... what's the catch?** +- Limited system access +- Newer ecosystem +- Not all languages supported + +--- + +🔗 **Resources:** +* [WebAssembly.org](https://webassembly.org/) +* [WASI Documentation](https://wasi.dev/) +* [Docker WASM Integration](https://docs.docker.com/desktop/wasm/) + +--- + +## 📍 Slide 14 – 🔬 Unikernels & Microkernels - Specialized Virtualization + +* 🔬 **Unikernels** = single-address-space operating system compiled with application into standalone VM image. +* ⚡ **Key Concept**: Remove OS layers, include only needed system calls, ultra-lightweight VMs. +* 🛡️ **Security Advantage**: Minimal attack surface, no shell access, immutable infrastructure. +* 📏 **Size**: Unikernel VMs can be <10MB vs traditional Linux VMs >1GB. + +**Unikernel vs Traditional Architecture** +```mermaid +flowchart LR + subgraph "🏢 Traditional VM" + t_app["📱 Application"] + t_libs["📚 Libraries"] + t_os["🐧 Full OS
(Kernel + Userspace)"] + t_hypervisor["⚙️ Hypervisor"] + t_size["📏 Size: 1GB+"] + + t_app --> t_libs --> t_os --> t_hypervisor --> t_size + end + + subgraph "🔬 Unikernel" + u_combined["📦 App + Minimal OS
Single binary"] + u_hypervisor["⚙️ Hypervisor"] + u_size["📏 Size: <10MB"] + + u_combined --> u_hypervisor --> u_size + end +``` + +* 🏆 **Popular Unikernel Projects**: + * **🐪 MirageOS**: OCaml-based, networking focus, 5MB typical size + * **💡 IncludeOS**: C++ framework, high performance, cloud-native + * **🦀 Hermit**: Rust-based, research project, HPC applications +* 🎯 **Best Use Cases**: IoT devices, serverless functions, high-security microservices, embedded systems + +--- + +🔗 **Resources:** +* [Unikernel.org](http://unikernel.org/) +* [MirageOS Documentation](https://mirage.io/) +* [IncludeOS Project](https://www.includeos.org/) + +--- + +## 📍 Slide 15 – ⚡ Serverless Computing - Functions-as-a-Service Evolution + +* ⚡ **Serverless** = execute code without managing servers, pay per execution, automatic scaling. +* 🔥 **Function-as-a-Service (FaaS)**: Upload functions, cloud provider handles infrastructure completely. +* 📈 **2024 Growth**: 25% year-over-year growth, $9.8B market size. +* 🌐 **Modern Runtimes**: WebAssembly, custom containers, edge computing integration. + +**Serverless Evolution Timeline** +```mermaid +flowchart LR + subgraph "2014-2018: Gen 1" + gen1["☁️ AWS Lambda
Limited runtimes
15min max execution"] + end + + subgraph "2019-2022: Gen 2" + gen2["🚀 Multiple Providers
Container support
Better performance"] + end + + subgraph "2023-2025: Gen 3" + gen3["🌐 WASM Functions
Edge computing
Micro cold starts"] + end + + gen1 --> gen2 --> gen3 +``` + +* 🏆 **Major Serverless Platforms**: + * **⚡ AWS Lambda**: Market leader, 1000+ concurrent executions + * **🔥 Google Cloud Functions**: Fast scaling, integrated with GCP services + * **🌐 Cloudflare Workers**: Edge-first, V8 isolates, <1ms cold starts + * **🐳 Knative**: Kubernetes-native, open-source serverless +* ⚠️ **Cold Start Challenge**: Traditional containers 1-5s, WASM functions <100ms + +--- + +### 🥶 **Interactive Break: "Cold Start Horror Stories"** + +**👻 Share Your Serverless Nightmares!** + +*Let's hear about serverless gone wrong - these are learning opportunities!* + +**🎯 Common Horror Stories:** +- **💸 "The $50K Bill"**: Infinite recursion in Lambda functions +- **🐌 "The 30-Second Hello World"**: Java cold starts killing user experience +- **🔄 "The Timeout Terror"**: Function timing out during critical payment processing +- **🌊 "The Thundering Herd"**: All functions cold starting during traffic spike + +**🤔 Discussion Questions:** +1. When would you NOT use serverless? +2. How do you handle serverless monitoring and debugging? +3. What's your serverless backup plan? + +**💡 Modern Solutions:** +- Provisioned concurrency +- WASM-based functions +- Edge computing +- Hybrid architectures + +--- + +🔗 **Resources:** +* [Serverless Framework](https://www.serverless.com/) +* [AWS Lambda Documentation](https://docs.aws.amazon.com/lambda/) +* [Cloudflare Workers](https://workers.cloudflare.com/) +* [CNCF Serverless Whitepaper](https://github.com/cncf/wg-serverless/blob/master/whitepapers/serverless-overview/cncf_serverless_whitepaper_v1.0.pdf) +--- + +## 📍 Slide 16 – 🛡️ Security-Focused Virtualization - Firecracker, gVisor, Kata + +* 🔒 **Security-First Approach**: New virtualization technologies designed with security as primary concern, not performance afterthought. +* 🏭 **Microvm Revolution**: Ultra-lightweight VMs combining container speed with VM security isolation. +* 🛡️ **Sandboxing Evolution**: Enhanced isolation techniques protecting against container escape and side-channel attacks. +* 🌟 **2024 Adoption**: 34% increase in secure container adoption, driven by zero-trust architecture requirements. + +**Security-Focused Virtualization Spectrum** +```mermaid +flowchart LR + subgraph "🔒 Security Level (Low to High)" + containers["🐳 Standard Containers
Shared kernel
Process isolation"] + gvisor["🛡️ gVisor
User-space kernel
Syscall interception"] + kata["⚡ Kata Containers
Lightweight VMs
Hardware isolation"] + firecracker["🔥 Firecracker
MicroVMs
AWS Lambda backend"] + end + + subgraph "🚀 Performance Level (High to Low)" + perf_containers["🏃 Fastest
5-10ms startup"] + perf_gvisor["🚶 Fast
100ms startup"] + perf_kata["🐢 Moderate
500ms startup"] + perf_firecracker["⚡ Lightning
125ms startup"] + end + + containers --> perf_containers + gvisor --> perf_gvisor + kata --> perf_kata + firecracker --> perf_firecracker +``` + +* 🔥 **AWS Firecracker**: Powers AWS Lambda and Fargate, 125ms boot time, <5MB memory overhead +* 🛡️ **Google gVisor**: User-space kernel, intercepts syscalls, used in Google Cloud Run +* ⚡ **Kata Containers**: Hardware-assisted isolation, OCI-compatible, CNCF graduated project +* 🔐 **Intel TDX**: Trust Domain Extensions, confidential computing at hardware level + +--- + +🔗 **Resources:** +* [AWS Firecracker](https://firecracker-microvm.github.io/) +* [Google gVisor](https://gvisor.dev/) +* [Kata Containers](https://katacontainers.io/) +* [NIST Container Security](https://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-190.pdf) + +--- + +## 📍 Slide 17 – 📊 Performance Optimization - Modern Hardware Features + +* ⚡ **Hardware-Assisted Security**: Intel TDX, AMD SEV-SNP enabling confidential computing without performance penalty. +* 🚀 **Next-Gen CPU Features**: Intel VT-x improvements, AMD-V enhancements, ARM virtualization extensions. +* 🧠 **AI-Accelerated Optimization**: ML-driven resource allocation, predictive scaling, intelligent workload placement. +* 📈 **2024 Performance Gains**: 40% improvement in VM startup times, 25% reduction in memory overhead. + +**Modern Virtualization Performance Stack** +```mermaid +flowchart LR + subgraph "🔬 Hardware Layer" + intel_tdx["🔐 Intel TDX
Trust domains
Confidential VMs"] + amd_sev["🛡️ AMD SEV-SNP
Secure memory
Encrypted VMs"] + arm_realm["💪 ARM Realm
Confidential compute
Mobile & edge"] + end + + subgraph "⚙️ Hypervisor Layer" + kvm_improvements["🐧 KVM 2024
Better NUMA
Live migration"] + hyperv_gen3["🔷 Hyper-V Gen3
GPU partitioning
Nested improvements"] + vmware_8["🚀 vSphere 8
DPU offloading
Project Monterey"] + end + + subgraph "🤖 AI/ML Optimization" + predictive["🔮 Predictive Scaling
ML workload analysis
Proactive allocation"] + placement["🎯 Smart Placement
NUMA-aware scheduling
Workload affinity"] + tuning["⚙️ Auto-tuning
Performance knobs
Real-time optimization"] + end + + intel_tdx --> kvm_improvements + amd_sev --> hyperv_gen3 + arm_realm --> vmware_8 + + kvm_improvements --> predictive + hyperv_gen3 --> placement + vmware_8 --> tuning +``` + +* 🔐 **Confidential Computing**: Encrypt data in use, protect against privileged access, 15% performance overhead (vs 60% in 2020) +* 📊 **Performance Monitoring**: eBPF-based observability, real-time metrics, ML-driven anomaly detection +* 🎯 **Optimization Techniques**: CPU pinning automation, memory ballooning 2.0, smart NUMA placement +* ⚡ **Edge Optimizations**: ARM-based virtualization, power-efficient designs, 5G edge integration + +--- + + +🔗 **Resources:** +* [Intel TDX Documentation](https://www.intel.com/content/www/us/en/developer/tools/trust-domain-extensions/documentation.html) +* [AMD SEV-SNP](https://www.amd.com/en/processors/amd-secure-memory-encryption) +* [CNCF Cloud Native Performance](https://www.cncf.io/blog/2024/01/15/cloud-native-performance-optimization/) + +--- + +## 📍 Slide 18 – 🔧 Hybrid Architectures - Best of All Worlds + +* 🏗️ **Containers on VMs**: Most popular approach - VM isolation with container efficiency, 73% of enterprises use this model. +* 🕸️ **Service Mesh Integration**: Istio, Linkerd providing secure communication between virtualized and containerized workloads. +* 🔄 **Multi-Runtime Platforms**: Single clusters running VMs, containers, and serverless functions simultaneously. +* 🌊 **2024 Trend**: 67% adoption of hybrid container-VM architectures, driven by security and compliance needs. + +**Modern Hybrid Architecture** +```mermaid +flowchart LR + subgraph "🌐 Edge Tier" + cdn["🌍 CDN Edge Functions
Cloudflare Workers
WASM runtime"] + edge_vm["⚡ Edge VMs
Firecracker
Regional processing"] + end + + subgraph "☸️ Kubernetes Cluster (on VMs)" + control_plane["🎛️ Control Plane
etcd, API server
VM-based for stability"] + + subgraph "Worker Nodes (VMs)" + standard_pods["🐳 Standard Pods
Web services
APIs"] + kata_pods["⚡ Kata Pods
Sensitive workloads
Multi-tenant"] + wasm_pods["🌐 WASM Pods
Edge functions
Micro cold starts"] + end + end + + subgraph "🏢 Legacy Tier" + legacy_vm["💼 Legacy VMs
Monolithic apps
Database servers"] + bare_metal["🔧 Bare Metal
High-performance
GPU workloads"] + end + + subgraph "🕸️ Service Mesh" + mesh["🔗 Istio/Linkerd
mTLS everywhere
Traffic management"] + end + + cdn --> control_plane + edge_vm --> standard_pods + + standard_pods --> mesh + kata_pods --> mesh + wasm_pods --> mesh + legacy_vm --> mesh + + mesh --> bare_metal +``` + +* 🎯 **Runtime Selection Strategy**: Choose runtime based on workload requirements, not technology preference +* 🔐 **Security Boundaries**: VMs for tenant isolation, containers for application isolation, WASM for plugin isolation +* 📊 **Operational Consistency**: Unified monitoring, logging, and deployment across all runtime types +* 🚀 **Performance Optimization**: Right runtime for right job - serverless for spikes, VMs for steady state + +--- + +🔗 **Resources:** +* [CNCF Runtime Landscape](https://landscape.cncf.io/card-mode?category=container-runtime) +* [Istio Service Mesh](https://istio.io/) +* [Kubernetes Multi-Runtime](https://kubernetes.io/blog/2024/01/10/cri-o-multi-runtime/) + +--- + +## 📍 Slide 19 – 🌐 Edge & IoT Virtualization - 5G Revolution + +* 🌍 **Edge Computing Explosion**: 175% growth in edge virtualization, driven by 5G, IoT, and real-time applications. +* ⚡ **Ultra-Low Latency**: <1ms requirements pushing virtualization to network edge, revolutionizing application architecture. +* 📱 **Massive Scale**: Billions of IoT devices requiring lightweight, efficient virtualization at the edge. +* 🔋 **Power Constraints**: ARM-based edge computing, energy-efficient virtualization, battery-powered edge nodes. + +**Edge Virtualization Ecosystem** +```mermaid +flowchart LR + subgraph "🌐 Network Edge" + cell_tower["📡 5G Cell Tower
MEC (Multi-access Edge)
Ultra-low latency"] + smart_city["🏙️ Smart City Hub
Traffic, sensors
Real-time processing"] + factory["🏭 Industrial Edge
IoT, robotics
Deterministic computing"] + end + + subgraph "⚡ Edge Virtualization" + lightweight_vm["🪶 Lightweight VMs
Firecracker, NEMU
Fast boot, low overhead"] + wasm_edge["🌐 WASM at Edge
Fastly Compute
Microsecond startup"] + container_edge["🐳 Edge Containers
K3s, MicroK8s
Kubernetes at edge"] + end + + subgraph "📊 Management Layer" + orchestration["☸️ Edge Orchestration
KubeEdge, Akri
Cloud-to-edge deployment"] + monitoring["📈 Edge Monitoring
Lightweight agents
Intermittent connectivity"] + security["🔐 Zero-Trust Edge
Certificate-based auth
Encrypted everything"] + end + + cell_tower --> lightweight_vm + smart_city --> wasm_edge + factory --> container_edge + + lightweight_vm --> orchestration + wasm_edge --> monitoring + container_edge --> security +``` + +* 🤖 **AI at the Edge**: TensorFlow Lite, ONNX runtime, GPU virtualization for edge AI workloads +* 🔌 **Device Integration**: Virtual network functions, software-defined everything, edge-cloud continuum +* 🌊 **Stream Processing**: Real-time data processing, event-driven architectures, edge analytics +* 🛡️ **Security Challenges**: Certificate management, secure boot, attestation, zero-trust networking + +--- + + +🔗 **Resources:** +* [ETSI Multi-Access Edge Computing](https://www.etsi.org/technologies/multi-access-edge-computing) +* [KubeEdge Documentation](https://kubeedge.io/) +* [5G Edge Computing Whitepaper](https://www.cncf.io/blog/2024/02/20/5g-edge-computing-kubernetes/) + +--- + +## 📍 Slide 20 – 🔮 Emerging Technologies - The Next Decade + +* 🧠 **Neuromorphic Computing**: Brain-inspired architectures requiring new virtualization paradigms, Intel Loihi, IBM TrueNorth. +* ⚛️ **Quantum Computing**: Quantum cloud services (IBM, Google, AWS), quantum-safe cryptography, hybrid quantum-classical workflows. +* 🌱 **Sustainable Computing**: Carbon-aware scheduling, renewable energy integration, circular economy principles. +* 🔬 **2025-2030 Predictions**: Photonic computing, DNA storage virtualization, biocomputing interfaces. + +**Future Virtualization Landscape (2025-2030)** +```mermaid +flowchart LR + subgraph "🌱 Green Computing" + carbon_aware["♻️ Carbon-Aware
Schedule on renewables
Dynamic power scaling"] + liquid_cooling["❄️ Immersion Cooling
Liquid cooling systems
Heat recovery"] + efficient_chips["⚡ Efficient Silicon
ARM, RISC-V
Purpose-built chips"] + end + + subgraph "⚛️ Quantum Integration" + quantum_cloud["☁️ Quantum Cloud
IBM Quantum, AWS Braket
Hybrid workflows"] + quantum_crypto["🔐 Post-Quantum Crypto
Quantum-safe algorithms
Migration strategies"] + quantum_sim["🔬 Quantum Simulation
Virtual quantum systems
Algorithm development"] + end + + subgraph "🧠 Neuromorphic & Bio" + neuro_chips["🧠 Neuromorphic
Intel Loihi, BrainChip
Event-driven computing"] + bio_computing["🧬 Bio-Computing
DNA storage
Protein folding"] + brain_interface["🔗 Brain-Computer
Neuralink-style
Direct neural control"] + end + + subgraph "🔮 Emerging Paradigms" + photonic["💡 Photonic Computing
Light-based processing
Ultra-fast networking"] + molecular["⚗️ Molecular Computing
Chemical computation
Nano-scale processing"] + space_compute["🚀 Space Computing
Orbital data centers
Zero-latency global"] + end + + carbon_aware --> quantum_cloud + liquid_cooling --> quantum_crypto + efficient_chips --> quantum_sim + + quantum_cloud --> neuro_chips + quantum_crypto --> bio_computing + quantum_sim --> brain_interface + + neuro_chips --> photonic + bio_computing --> molecular + brain_interface --> space_compute +``` + +* 📊 **Industry Predictions**: + * **2025**: 50% of workloads carbon-optimized, quantum-safe crypto mandatory for finance + * **2027**: Neuromorphic edge computing mainstream, DNA storage for archival workloads + * **2030**: Photonic interconnects, space-based computing, biocomputing interfaces +* 🎯 **Skills for Future**: Quantum algorithms, sustainable architecture, bio-computing concepts, ethical AI + +--- + +🔗 **Resources:** +* [CNCF Technology Radar](https://radar.cncf.io/) +* [IBM Quantum Experience](https://quantum-computing.ibm.com/) +* [Intel Neuromorphic Computing](https://www.intel.com/content/www/us/en/research/neuromorphic-computing.html) +* [Green Software Foundation](https://greensoftware.foundation/) \ No newline at end of file From 280b6c1e3ee31c894e78b02d7e120997747a9eb6 Mon Sep 17 00:00:00 2001 From: Dmitrii Creed Date: Sun, 5 Oct 2025 13:51:38 +0400 Subject: [PATCH 14/29] feat: introduce all labs and revised structure Signed-off-by: Dmitrii Creed --- README.md | 579 +++++++++-- app/index.html | 545 ++++++++++ labs/lab1.md | 130 ++- labs/lab10.md | 213 ++++ labs/lab11.md | 297 ++++++ labs/lab12.md | 1115 ++++++++++++++++++++ labs/lab12/Dockerfile | 20 + labs/lab12/Dockerfile.wasm | 4 + labs/lab12/main.go | 116 +++ labs/lab12/spin.toml | 14 + labs/lab2.md | 182 ++-- labs/lab3.md | 54 +- labs/lab4.md | 51 +- labs/lab5.md | 335 +----- labs/lab6.md | 358 +++++++ labs/lab7.md | 341 +++++++ labs/lab8.md | 248 +++++ labs/lab9.md | 259 +++++ lectures/lec6.md | 1353 +++++++++++++++++++++++++ lectures/lec7.md | 1962 ++++++++++++++++++++++++++++++++++++ 20 files changed, 7670 insertions(+), 506 deletions(-) create mode 100644 app/index.html create mode 100644 labs/lab10.md create mode 100644 labs/lab11.md create mode 100644 labs/lab12.md create mode 100644 labs/lab12/Dockerfile create mode 100644 labs/lab12/Dockerfile.wasm create mode 100644 labs/lab12/main.go create mode 100644 labs/lab12/spin.toml create mode 100644 labs/lab6.md create mode 100644 labs/lab7.md create mode 100644 labs/lab8.md create mode 100644 labs/lab9.md create mode 100644 lectures/lec6.md create mode 100644 lectures/lec7.md diff --git a/README.md b/README.md index 2b9e9177..eb679f8e 100644 --- a/README.md +++ b/README.md @@ -3,70 +3,76 @@ [![Labs](https://img.shields.io/badge/Labs-80%25-blue)](#-lab-based-learning-experience) [![Exam](https://img.shields.io/badge/Exam-20%25-orange)](#-evaluation-framework) [![Hands-On](https://img.shields.io/badge/Focus-Hands--On%20Labs-success)](#-lab-based-learning-experience) -[![Level](https://img.shields.io/badge/Level-Bachelor-lightgrey)](#-course-roadmap) +[![Duration](https://img.shields.io/badge/Duration-10%20Weeks-lightgrey)](#-course-roadmap) Welcome to the **DevOps Introduction Course**, where you will gain a **solid foundation in DevOps principles and practical skills**. This course is designed to provide a comprehensive understanding of DevOps and its key components. -Through **hands-on labs and lectures**, you’ll explore version control, software distribution, CI/CD, containerization, cloud computing, and beyond — the same workflows used by modern engineering teams. +Through **hands-on labs and lectures**, you'll explore version control, software distribution, CI/CD, containerization, cloud computing, and beyond — the same workflows used by modern engineering teams. --- ## 📚 Course Roadmap -Practical modules designed for incremental skill development: - -| # | Module | Key Topics & Technologies | -|----|-------------------------------------|--------------------------------------------------------------------------------------------------------------------------| -| 1 | **Introduction to DevOps** | Core principles, essential tools, DevOps concepts | -| 2 | **Version Control** | Collaborative development workflows, Git tooling | -| 3 | **CI/CD** | Continuous integration/deployment practices | -| 4 | **Networking & OS for DevOps** | IP/DNS, firewalls, Linux fundamentals (shell/systemd/logs), permissions, troubleshooting, DevOps-friendly distros | -| 5 | **Virtualization** | Virtualization concepts, benefits in modern IT infrastructures | -| 6 | **Containers** | Docker containerization, Kubernetes orchestration | -| 7 | **GitOps & Progressive Delivery** | Git as source of truth, Argo CD, canary/blue-green deployments, feature flags, rollbacks | -| 8 | **SRE & Resilience** | SLOs/SLAs/SLIs, error budgets, incident management, chaos engineering, postmortems | -| 9 | **Security in DevOps (DevSecOps)** | Shift-left security, SAST/DAST, SBOM, container/image scanning (Trivy/Snyk), secret management | -| 10 | **Cloud Fundamentals** | AWS/Azure/GCP basics, IaaS/PaaS/SaaS, regions/zones, pricing, core services (EC2/S3/IAM/VPC), cloud-native patterns | -| 11 | **Bonus** | Web3 Infrastructure, decentralized storage, IPFS, Fleek | +**10-week intensive course** with practical modules designed for incremental skill development: + +| Week | Lab | Module | Key Topics & Technologies | +|------|-----|-------------------------------------|--------------------------------------------------------------------------------------------------------------------------| +| 1 | 1 | **Introduction to DevOps** | Core principles, Git workflow, SSH commit signing, PR templates | +| 2 | 2 | **Version Control & Advanced Git** | Object model, reset/reflog, history visualization, tagging, modern Git commands | +| 3 | 3 | **CI/CD with GitHub Actions** | Workflow creation, triggers, logs, system information, automation pipelines | +| 4 | 4 | **Networking & OS for DevOps** | System analysis, boot performance, networking diagnostics, DNS, packet capture | +| 5 | 5 | **Virtualization** | VirtualBox setup, VM deployment, system information discovery | +| 6 | 6 | **Containers with Docker** | Container lifecycle, image management, networking, volumes, persistence | +| 7 | 7 | **GitOps Fundamentals** | Reconciliation loops, drift detection, health monitoring, declarative configuration | +| 8 | 8 | **SRE & Monitoring** | System metrics, SLAs, website monitoring (Checkly), alerting, reliability engineering | +| 9 | 9 | **DevSecOps Tools** | OWASP ZAP, Trivy scanning, vulnerability analysis, security integration | +| 10 | 10 | **Cloud Computing Fundamentals** | Artifact registries (AWS/GCP/Azure), serverless platforms comparison | +| — | 11 | **🎁 Bonus: Web3 Infrastructure** | IPFS node setup, decentralized storage, 4EVERLAND deployment, content addressing | +| — | 12 | **🎁 Bonus: WASM Containers** | WebAssembly containers, performance comparison, Spin framework, edge computing | + +> **Note:** Labs 11-12 are **optional bonus labs** for extra credit. Complete them to boost your grade or explore cutting-edge technologies! --- ## 🗺️ DevOps Learning Journey -### 🌳 Skill Tree Structure +
+🌳 View Skill Tree Structure + ```mermaid graph TB ROOT[🚀 DevOps Mastery] %% Foundation Branch ROOT --- FOUND[🏗️ Foundation] - FOUND --- A[📚 DevOps Intro
• Principles
• Culture
• Tools Overview] - FOUND --- B[🔄 Version Control
• Git Workflows
• Collaboration
• PR/MR Process] + FOUND --- A[📚 Week 1: DevOps Intro
• Principles
• Git Workflow
• PR Templates] + FOUND --- B[🔄 Week 2: Version Control
• Advanced Git
• History Management
• Modern Commands] %% Development Branch ROOT --- DEV[👨‍💻 Development] - DEV --- C[⚙️ CI/CD
• GitHub Actions
• Pipelines
• Automation] - DEV --- D[🖥️ Networking & OS
• Linux Fundamentals
• DNS/TCP/IP
• System Analysis] + DEV --- C[⚙️ Week 3: CI/CD
• GitHub Actions
• Pipelines
• Automation] + DEV --- D[🖥️ Week 4: Networking & OS
• Linux Fundamentals
• DNS/TCP/IP
• System Analysis] %% Infrastructure Branch ROOT --- INFRA[🏗️ Infrastructure] - INFRA --- E[💻 Virtualization
• Hypervisors
• VMs
• Resource Management] - INFRA --- F[📦 Containers
• Docker
• Kubernetes
• Orchestration] + INFRA --- E[💻 Week 5: Virtualization
• VirtualBox
• VMs
• System Discovery] + INFRA --- F[📦 Week 6: Containers
• Docker
• Networking
• Volumes] %% Advanced Branch ROOT --- ADV[🎯 Advanced] - ADV --- G[🚀 GitOps
• ArgoCD
• Progressive Delivery
• Rollback Strategies] - ADV --- H[🛡️ SRE
• SLOs/SLIs
• Incident Management
• Chaos Engineering] + ADV --- G[🚀 Week 7: GitOps
• Reconciliation
• Drift Detection
• Health Monitoring] + ADV --- H[🛡️ Week 8: SRE
• Monitoring
• SLAs/SLOs
• Reliability] %% Production Branch ROOT --- PROD[🌐 Production] - PROD --- I[🔐 DevSecOps
• Security Scanning
• SAST/DAST
• Secret Management] - PROD --- J[☁️ Cloud
• AWS/Azure/GCP
• IaaS/PaaS/SaaS
• Cloud-Native] + PROD --- I[🔐 Week 9: DevSecOps
• OWASP ZAP
• Trivy
• Security Scanning] + PROD --- J[☁️ Week 10: Cloud
• AWS/Azure/GCP
• Registries
• Serverless] %% Bonus Branch - ROOT --- BONUS[⭐ Bonus] - BONUS --- K[🌐 Web3
• IPFS
• Decentralized Storage
• Fleek] + ROOT --- BONUS[⭐ Bonus Labs] + BONUS --- K[🌐 Lab 11: IPFS/4EVERLAND
• Decentralized Storage
• Web3 Hosting
• Content Addressing] + BONUS --- L[⚡ Lab 12: WASM Containers
• WebAssembly
• Performance
• Edge Computing] %% Styling classDef rootStyle fill:#1a1a1a,stroke:#ffffff,stroke-width:3px,color:#ffffff @@ -76,7 +82,7 @@ graph TB classDef infraModule fill:#eaf2f8,stroke:#3498db,stroke-width:2px,color:#2c3e50 classDef advModule fill:#f4ecf7,stroke:#9b59b6,stroke-width:2px,color:#2c3e50 classDef prodModule fill:#fdedec,stroke:#e74c3c,stroke-width:2px,color:#2c3e50 - classDef bonusModule fill:#f0f3bd,stroke:#f1c40f,stroke-width:2px,color:#2c3e50 + classDef bonusModule fill:#fff3cd,stroke:#f1c40f,stroke-width:2px,color:#2c3e50 class ROOT rootStyle class FOUND,DEV,INFRA,ADV,PROD,BONUS branchStyle @@ -85,41 +91,50 @@ graph TB class E,F infraModule class G,H advModule class I,J prodModule - class K bonusModule + class K,L bonusModule ``` -### 🏗️ Technology Stack Layers +
+ +
+🏗️ View Technology Stack Layers + ```mermaid flowchart LR subgraph "🌐 Production & Cloud" direction LR - I[🔐 DevSecOps
Security Integration] - J[☁️ Cloud Platforms
AWS/Azure/GCP] - K[⭐ Web3 Technologies
IPFS & Decentralized] + I[🔐 Week 9: DevSecOps
OWASP ZAP & Trivy] + J[☁️ Week 10: Cloud
AWS/Azure/GCP] + end + + subgraph "⭐ Bonus: Cutting Edge" + direction LR + K[🌐 IPFS/4EVERLAND
Decentralized Web] + L[⚡ WASM Containers
Performance & Edge] end subgraph "🎯 Advanced DevOps" direction LR - G[🚀 GitOps
Progressive Delivery] - H[🛡️ SRE
Reliability Engineering] + G[🚀 Week 7: GitOps
Reconciliation & Drift] + H[🛡️ Week 8: SRE
Monitoring & Reliability] end subgraph "🏗️ Infrastructure Layer" direction LR - E[💻 Virtualization
VMs & Hypervisors] - F[📦 Containers
Docker & Kubernetes] + E[💻 Week 5: Virtualization
VirtualBox & VMs] + F[📦 Week 6: Containers
Docker Fundamentals] end subgraph "🔧 Development Layer" direction LR - C[⚙️ CI/CD
Automation Pipelines] - D[🖥️ Systems & Network
Linux Fundamentals] + C[⚙️ Week 3: CI/CD
GitHub Actions] + D[🖥️ Week 4: Systems
Linux & Networking] end subgraph "🏗️ Foundation Layer" direction LR - A[📚 DevOps Principles
Culture & Mindset] - B[🔄 Version Control
Git & Collaboration] + A[📚 Week 1: DevOps
Principles & Git] + B[🔄 Week 2: Git Advanced
Version Control Mastery] end A --> C @@ -133,87 +148,499 @@ flowchart LR G --> I H --> I I --> J - J --> K + J -.-> K + J -.-> L classDef foundation fill:#e8f6f3,stroke:#1abc9c,stroke-width:3px,color:#2c3e50 classDef development fill:#fef9e7,stroke:#f39c12,stroke-width:3px,color:#2c3e50 classDef infrastructure fill:#eaf2f8,stroke:#3498db,stroke-width:3px,color:#2c3e50 classDef advanced fill:#f4ecf7,stroke:#9b59b6,stroke-width:3px,color:#2c3e50 classDef production fill:#fdedec,stroke:#e74c3c,stroke-width:3px,color:#2c3e50 + classDef bonus fill:#fff3cd,stroke:#f1c40f,stroke-width:3px,color:#2c3e50 class A,B foundation class C,D development class E,F infrastructure class G,H advanced - class I,J,K production + class I,J production + class K,L bonus ``` +
+ --- ## 🛠 Lab-Based Learning Experience -**80% of your grade comes from hands-on labs** — each designed to build real-world skills: +**Your grade comes from labs and exam** — with flexible paths to success. + +> **Key Points:** +> - **10 required labs** provide 80% of possible grade points +> - **Bonus labs (11-12)** can add up to 22 extra points maximum +> - **Labs 11 and 12 can substitute for the exam** if completed +> - **Completing only 10 required labs = 80% maximum** (without exam or bonus) + +### Lab Structure -1. **Lab Structure** +* **Required Labs (1-10):** Core curriculum covering essential DevOps skills +* **Bonus Labs (11-12):** Optional advanced topics for extra credit +* **Task-oriented challenges** with clear objectives and deliverables +* **Safe environments** using containers, local VMs, or cloud platforms +* **Real-world workflows** mirroring professional DevOps practices +* **Progressive difficulty** building on previous labs - * Task-oriented challenges with clear objectives - * Safe environments using containers or local VMs +### Lab Overview -2. **Submission Workflow** +
+📋 View All Lab Topics - * Fork course repository → Create lab branch → Complete tasks - * Push to fork → Open PR to **course repo main branch** → Copy PR URL - * **Submit PR link via Moodle before deadline** → Receive feedback & evaluation +**Required Labs (Weeks 1-10):** + +1. **Introduction to DevOps** — Git workflow, SSH signing, PR templates +2. **Version Control & Advanced Git** — Object model, reset/reflog, modern commands +3. **CI/CD with GitHub Actions** — Workflows, triggers, automation +4. **Networking & OS** — System analysis, diagnostics, packet capture +5. **Virtualization** — VirtualBox, VM deployment, system discovery +6. **Containers** — Docker lifecycle, networking, volumes, persistence +7. **GitOps Fundamentals** — Reconciliation, drift detection, monitoring +8. **SRE & Monitoring** — Metrics, SLAs, Checkly, reliability engineering +9. **DevSecOps Tools** — OWASP ZAP, Trivy, vulnerability scanning +10. **Cloud Computing** — AWS/GCP/Azure registries, serverless platforms + +**Bonus Labs (Optional):** + +11. **🎁 IPFS & 4EVERLAND** — Decentralized storage, Web3 hosting, content addressing +12. **🎁 WASM Containers** — WebAssembly performance, Spin framework, edge computing + +> **Bonus Lab Benefits:** +> - Extra credit toward final grade +> - Explore cutting-edge technologies +> - Gain competitive advantage in job market +> - Optional but highly recommended for A-grade students + +
+ +### Submission Workflow + +```mermaid +graph LR + A[Fork Repo] --> B[Create Branch] + B --> C[Complete Tasks] + C --> D[Push to Fork] + D --> E[Open PR to Course Repo] + E --> F[Submit PR Link via Moodle] + F --> G[Receive Feedback] + + style A fill:#e8f8f5,stroke:#16a085,color:#2c3e50 + style B fill:#e8f8f5,stroke:#16a085,color:#2c3e50 + style C fill:#fef9e7,stroke:#f39c12,color:#2c3e50 + style D fill:#eaf2f8,stroke:#3498db,color:#2c3e50 + style E fill:#f4ecf7,stroke:#9b59b6,color:#2c3e50 + style F fill:#fdedec,stroke:#e74c3c,color:#2c3e50 + style G fill:#e8f6f3,stroke:#1abc9c,color:#2c3e50 +``` -3. **Grading Advantage** +
+📋 Detailed Submission Process - * **Perfect Lab Submissions (10/10)**: Exam exemption + bonus points - * **On-Time Submissions (≥6/10)**: Guaranteed pass (C or higher) - * **Late Submissions**: Maximum 6/10 +**Step-by-Step Guide:** -4. **Detailed Submission Process** +1. **Fork the course repository** to your GitHub account +2. **Clone your fork locally:** ```bash - # 1. Fork the course repository to your GitHub account - # 2. Clone your fork locally git clone https://github.com/YOUR_USERNAME/REPO_NAME.git cd REPO_NAME - - # 3. Create and work on your lab branch + ``` + +3. **Create and work on your lab branch:** + ```bash git switch -c feature/labX # Complete lab tasks, create submission files git add labs/submissionX.md git commit -m "docs: add labX submission" git push -u origin feature/labX - - # 4. Open PR from your fork → course repository main branch - # 5. Copy the PR URL and submit via Moodle before deadline ``` - **Important:** PRs must target the **course repository's main branch**, not your fork's main branch. +4. **Open PR from your fork → course repository main branch** + - Navigate to the course repository on GitHub + - Click "New Pull Request" + - Select: `base: course-repo/main` ← `compare: your-fork/feature/labX` + - Fill in the PR template with task completion checklist + +5. **Copy the PR URL and submit via Moodle before deadline** + +**⚠️ Important:** PRs must target the **course repository's main branch**, not your fork's main branch. + +
+ +### Grading Policy + +
+🎯 Lab Grading Breakdown + +**Each required lab (1-10) is worth 10 points:** + +* **Perfect Submissions (10/10):** + - All tasks completed with thorough documentation + - Clear analysis and understanding demonstrated + - Code/commands work correctly + - Submitted on time + - **Benefit:** Counts toward exam exemption + +* **Strong Submissions (8-9/10):** + - All tasks completed with minor issues + - Good documentation and analysis + - Minor improvements needed + +* **Passing Submissions (6-7/10):** + - Core tasks completed + - Basic documentation present + - Some areas need improvement + +* **Below Passing (<6/10):** + - Incomplete tasks + - Insufficient documentation + - Major gaps in understanding + +**Bonus Labs (11-12):** +- Worth up to **12 points each** +- **Maximum 22 bonus points total** (capped to maintain grade scale) +- **Can replace the exam requirement** if both completed +- Same quality standards as required labs +- No penalty for not completing them + +**Late Submissions (Required Labs Only):** +- Maximum score: 6/10 +- Accepted within 1 week after deadline +- No credit after 1 week +- Does not apply to bonus labs + +
+ +
+🏆 Exam Exemption Policy + +**Path 1: Exam Exemption (Traditional)** + +Qualify by: +1. Submitting **all 10 required labs on time** +2. Scoring **8/8 on at least 8 required labs** +3. Minimum average of **7.0/8 across required labs** + +**Result:** Skip exam, receive full 20 exam points + +**Path 2: Bonus Labs Replace Exam** + +Complete **both Lab 11 AND Lab 12** with passing scores: +- No exam requirement +- Bonus points replace the 20 exam points +- Must still complete all 10 required labs + +**Path 3: Maximum Score Strategy** + +Combine all components: +- Complete 10 required labs (80 pts) +- Take exam (20 pts) +- Complete bonus labs (22 pts) +- Total: 122 pts available (capped at 100 for final grade) + +**Important Notes:** +- **Completing only 10 labs = 80% maximum** (B grade) +- Need exam OR bonus labs to reach A grade +- Bonus labs provide safety buffer for required lab scores +- Late required lab submissions max out at 6/8 points + +
--- ## 📊 Evaluation Framework -*Transparent assessment for skill validation* - ### Grade Composition -* Labs (10 × 8 points each): **80%** -* Final Exam (comprehensive): **20%** +| Component | Points | Details | +|-----------|--------|---------| +| **Required Labs (1-10)** | 80 points | 10 labs × 8 points each (80% of grade) | +| **Final Exam** | 20 points | Comprehensive assessment OR skip if both bonus labs completed | +| **Bonus Labs (11-12)** | +22 points max | Lab 11: 10 pts, Lab 12: 12 pts (capped at 22 total) | +| **Total Base** | 100 points | Required to pass: 60+ points | +| **Maximum Possible** | 122 points | With bonus labs (capped at 100% for final grade) | ### Performance Tiers -* **A (90-100)**: Mastery of core concepts, innovative solutions -* **B (75-89)**: Consistent completion, minor improvements needed -* **C (60-74)**: Basic competency, needs reinforcement -* **D (0-59)**: Fundamental gaps, re-attempt required +
+📈 Grading Scale + +| Grade | Range | Description | +|-------|-------|-------------| +| **A** | 90-100+ | Mastery of core concepts, innovative solutions, exceptional documentation | +| **B** | 75-89 | Consistent completion, solid understanding, minor improvements needed | +| **C** | 60-74 | Basic competency demonstrated, needs reinforcement in some areas | +| **D** | 0-59 | Fundamental gaps, re-attempt required | + +**Grade Calculation Examples:** + +**Scenario 1: Standard Path (Labs + Exam)** +``` +Required Labs: 72/80 points (9 labs at 8pts each) +Exam: 18/20 points +Total: 90/100 = A +``` + +**Scenario 2: Labs Only (80% Maximum)** +``` +Required Labs: 80/80 points (perfect scores) +No Exam: 0/20 points +Total: 80/100 = B (cannot exceed 80% without exam/bonus) +``` + +**Scenario 3: Labs + Bonus (No Exam)** +``` +Required Labs: 75/80 points +Bonus Lab 11: 12/12 points +Bonus Lab 12: 10/10 points +Total: 97/100 = A (bonus labs replace exam) +``` + +**Scenario 4: Maximum Score** +``` +Required Labs: 80/80 points +Exam: 20/20 points +Bonus Labs: 22/22 points +Total: 122 points → capped at 100/100 = A+ with buffer +``` + +
--- ## ✅ Success Path -> *"Complete all labs with ≥6/10 to pass. Perfect lab submissions grant exam exemption and bonus points toward an A."* +> **"Complete all 10 required labs to earn 80%. Add exam (20%) OR both bonus labs (22%) to reach higher grades. Maximum 122 points available, capped at 100% for final grade."** + +
+💡 Tips for Success + +**Lab Completion Strategy:** +1. **Weeks 1-10:** Focus on required labs first +2. **After Week 10:** Tackle bonus labs if time permits +3. Start each lab early - don't wait until the deadline +4. Read instructions thoroughly before beginning +5. Test all commands/code before documenting + +**Prioritization:** +- **Must Do:** Labs 1-10 (required, gives 80% max) +- **Must Do One Of:** + - Final exam (20 pts) OR + - Both bonus labs (22 pts max) +- **Should Do:** Bonus labs to skip exam or boost grade +- **Nice to Have:** All components for maximum buffer + +**Documentation Best Practices:** +1. Use clear Markdown formatting with headers +2. Include both outputs AND analysis +3. Explain WHY, not just WHAT you did +4. Screenshot key results for proof +5. Organize files logically in the lab folder + +**Git Workflow:** +1. Always work on feature branches, never on main +2. Use descriptive commit messages (e.g., `docs: add lab1 submission`) +3. Push regularly to avoid losing work +4. Open PRs to the course repository, not your fork +5. Review the PR checklist before submitting + +**Time Management:** +1. Allocate 3-5 hours per required lab +2. Allocate 4-6 hours per bonus lab (more complex) +3. Break labs into manageable tasks +4. Use lab deadlines visible in Moodle +5. Review previous labs before starting new ones + +**Bonus Lab Strategy:** +- Complete if you have time after required labs +- Prioritize if aiming for exam exemption +- Excellent for portfolio building +- Great for learning cutting-edge tech + +**Getting Help:** +1. Review lab guidelines and examples +2. Check course documentation and resources +3. Discuss concepts with classmates (collaboration encouraged) +4. Attend office hours or ask on course forum +5. Submit questions early - don't wait until deadline + +
+ +
+📅 Recommended Study Schedule + +**Weekly Pattern (10-week course):** + +**Weeks 1-10 (Required Labs):** +- **Day 1-2:** Attend lecture, review materials +- **Day 3-5:** Complete hands-on lab +- **Day 6:** Document findings, take screenshots +- **Day 7:** Review, polish submission, submit PR + +**After Week 10 (Bonus Labs - Optional):** +- **Week 11 equivalent:** Lab 11 - IPFS/4EVERLAND +- **Week 12 equivalent:** Lab 12 - WASM Containers +- Can be done during/after exam prep period + +**Before Each Lab:** +1. Review previous lab concepts +2. Ensure development environment is ready +3. Read entire lab instructions first +4. Identify any prerequisites or installations needed + +**After Each Lab:** +1. Reflect on key learnings +2. Note challenges for future reference +3. Review instructor feedback when provided +4. Connect concepts to real-world scenarios + +**Exam Preparation (if needed):** +- Review all lab submissions +- Revisit key concepts from lectures +- Practice commands and workflows +- Focus on understanding, not memorization + +
+ +--- + +## 📚 Additional Resources + +
+🔗 Essential Links + +**Course Materials:** +- [Moodle Course Page](https://moodle.innopolis.university/) - Lectures, deadlines, grades +- [Course Repository](https://github.com/your-org/devops-course) - Lab assignments and resources + +**DevOps Fundamentals:** +- [The DevOps Handbook](https://itrevolution.com/product/the-devops-handbook/) +- [Site Reliability Engineering Book](https://sre.google/sre-book/table-of-contents/) +- [The Phoenix Project](https://itrevolution.com/product/the-phoenix-project/) + +**Version Control:** +- [Pro Git Book](https://git-scm.com/book/en/v2) +- [GitHub Skills](https://skills.github.com/) +- [Git Branching Interactive](https://learngitbranching.js.org/) + +**CI/CD:** +- [GitHub Actions Documentation](https://docs.github.com/en/actions) +- [CI/CD Best Practices](https://www.atlassian.com/continuous-delivery/principles/continuous-integration-vs-delivery-vs-deployment) + +**Containers & Orchestration:** +- [Docker Documentation](https://docs.docker.com/) +- [Kubernetes Documentation](https://kubernetes.io/docs/home/) +- [Docker Curriculum](https://docker-curriculum.com/) + +**Cloud Platforms:** +- [AWS Documentation](https://docs.aws.amazon.com/) +- [Google Cloud Documentation](https://cloud.google.com/docs) +- [Azure Documentation](https://docs.microsoft.com/azure/) + +**Bonus Lab Technologies:** +- [IPFS Documentation](https://docs.ipfs.tech/) +- [4EVERLAND Docs](https://docs.4everland.org/) +- [WebAssembly Official Site](https://webassembly.org/) +- [Spin Framework](https://spin.fermyon.dev/) + +
+ +
+🛠️ Required Tools & Software + +**Core Tools (Needed for most labs):** +- Git (version control) +- Docker (containerization) +- Text editor (VS Code, Vim, etc.) +- Web browser (Chrome, Firefox) +- Terminal/Command line + +**Platform-Specific:** +- **Windows:** WSL2, PowerShell, or Git Bash +- **macOS:** Homebrew, Terminal +- **Linux:** Native terminal, package manager (apt/yum) + +**Lab-Specific Tools (install as needed):** +- **Lab 3:** GitHub account +- **Lab 5:** VirtualBox +- **Lab 8:** Checkly account (free tier) +- **Lab 9:** OWASP ZAP, Trivy +- **Lab 11 (Bonus):** 4EVERLAND account +- **Lab 12 (Bonus):** WasmEdge runtime + +**Installation Guides:** +- Tools installation instructions provided in each lab +- Most tools run in Docker containers (minimal setup) +- Cloud services use free tiers (no payment required) + +
+ +
+📖 Learning Resources by Topic + +**Week 1-2: Git & Version Control** +- [Git Handbook](https://guides.github.com/introduction/git-handbook/) +- [GitHub Flow Guide](https://guides.github.com/introduction/flow/) +- [Atlassian Git Tutorials](https://www.atlassian.com/git/tutorials) + +**Week 3: CI/CD** +- [GitHub Actions Quickstart](https://docs.github.com/en/actions/quickstart) +- [CI/CD Concepts](https://www.redhat.com/en/topics/devops/what-is-ci-cd) + +**Week 4: OS & Networking** +- [Linux Journey](https://linuxjourney.com/) +- [Networking Basics](https://www.cloudflare.com/learning/network-layer/what-is-a-computer-network/) + +**Week 5-6: Virtualization & Containers** +- [VirtualBox Manual](https://www.virtualbox.org/manual/) +- [Docker Get Started](https://docs.docker.com/get-started/) +- [Play with Docker](https://labs.play-with-docker.com/) + +**Week 7: GitOps** +- [GitOps Principles](https://opengitops.dev/) +- [ArgoCD Tutorial](https://argo-cd.readthedocs.io/en/stable/getting_started/) + +**Week 8: SRE** +- [Google SRE Book](https://sre.google/sre-book/table-of-contents/) +- [Monitoring Best Practices](https://sre.google/sre-book/monitoring-distributed-systems/) + +**Week 9: DevSecOps** +- [OWASP Top 10](https://owasp.org/www-project-top-ten/) +- [Shift Left Security](https://www.devsecops.org/) + +**Week 10: Cloud** +- [AWS Free Tier](https://aws.amazon.com/free/) +- [GCP Free Tier](https://cloud.google.com/free) +- [Azure Free Account](https://azure.microsoft.com/free/) + +**Bonus: Web3 & WASM** +- [IPFS Concepts](https://docs.ipfs.tech/concepts/) +- [WebAssembly Concepts](https://webassembly.org/docs/high-level-goals/) + +
--- + +## 🎓 Course Completion + +Upon successful completion of this course, you will have: + +✅ **Practical DevOps Skills** — Hands-on experience with industry-standard tools +✅ **Portfolio of Work** — 10+ documented lab projects showcasing your abilities +✅ **Version Control Mastery** — Advanced Git workflows and collaboration practices +✅ **CI/CD Experience** — Automated pipeline creation and deployment strategies +✅ **Container Knowledge** — Docker and orchestration fundamentals +✅ **Cloud Familiarity** — Understanding of major cloud platforms and services +✅ **Security Awareness** — DevSecOps practices and vulnerability management +✅ **SRE Principles** — Monitoring, reliability, and incident management skills + +**Bonus Achievements (if completed):** +⭐ **Web3 Experience** — Decentralized storage and hosting knowledge +⭐ **Edge Computing Skills** — WebAssembly and next-gen container technology diff --git a/app/index.html b/app/index.html new file mode 100644 index 00000000..ece7bac6 --- /dev/null +++ b/app/index.html @@ -0,0 +1,545 @@ + + + + + + DevOps Introduction + + + + + + + + +
+ +
+ +
+

DevOps Introduction

+

Master modern DevOps practices through hands-on labs covering Git, CI/CD, Containers, Kubernetes, Cloud & WASM

+
+
+ 12 + Hands-on Labs +
+
+ 10 + Core Topics +
+
+ 15 + Weeks +
+
+
+ View Course Repository → +
+ +
+

Course Overview

+

This comprehensive course provides a solid foundation in modern DevOps practices through practical, hands-on experience. You'll learn industry-standard tools and workflows used by leading tech companies.

+ +
+
+ 📝 +

Hands-On Learning

+

Every concept is reinforced through practical labs. Build real projects and submit them via GitHub Pull Requests for review.

+ 12 Comprehensive Labs +
+
+ 🔧 +

Industry Tools

+

Work with production-grade tools: Docker, Kubernetes, GitHub Actions, Terraform, Ansible, Prometheus, and more.

+ 15+ Technologies +
+
+ 🚀 +

Modern Practices

+

Learn GitOps, Progressive Delivery, SRE principles, Infrastructure as Code, and emerging technologies like WebAssembly.

+ Cutting-Edge Topics +
+
+
+ +
+

What You'll Learn

+

Master DevOps through 12 progressive hands-on labs, each building real-world skills with production-grade tools.

+ +
+
+ 🔀 +

Lab 1: Git Workflows

+

Master Git branching strategies, collaborative workflows, pull requests, and version control best practices.

+
+
+ ⚙️ +

Lab 2: GitHub Actions

+

Build automated CI/CD pipelines with GitHub Actions for testing, building, and deploying applications.

+
+
+ 🐳 +

Lab 3: Docker Basics

+

Learn Docker containerization, write Dockerfiles, and implement multi-stage builds for optimized images.

+
+
+ 🔗 +

Lab 4: Docker Compose

+

Orchestrate multi-container applications with Docker Compose, manage networks and volumes.

+
+
+ ☸️ +

Lab 5: Kubernetes Basics

+

Deploy applications to Kubernetes, work with pods, services, and ingress controllers.

+
+
+ 🎛️ +

Lab 6: K8s Advanced

+

Master ConfigMaps, Secrets, Helm charts, and advanced Kubernetes resource management.

+
+
+ 🏗️ +

Lab 7: Terraform IaC

+

Implement Infrastructure as Code with Terraform, manage cloud resources declaratively.

+
+
+ 🤖 +

Lab 8: Ansible Automation

+

Automate configuration management with Ansible playbooks, roles, and inventory management.

+
+
+ 📊 +

Lab 9: Monitoring Stack

+

Set up observability with Prometheus for metrics collection and Grafana for visualization.

+
+
+ 🔄 +

Lab 10: GitOps with ArgoCD

+

Implement GitOps workflows using ArgoCD for declarative, Git-based application delivery.

+
+
+ 🔒 +

Lab 11: DevSecOps

+

Integrate security scanning, vulnerability detection, and automated security testing into CI/CD.

+
+
+ 🚀 +

Lab 12: WASM vs Docker

+

Compare WebAssembly containers with traditional Docker, deploy to Spin Cloud for serverless WASM.

+
+
+
+ +
+

Lab Assignments

+

Each lab is designed to build practical skills through real-world scenarios. Submit your work via Pull Requests for instructor review and feedback.

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    +
  1. Git Workflow & Branching Strategies
    2. +
  2. GitHub Actions CI/CD Pipeline
    3. +
  3. Docker Containerization & Multi-Stage Builds
    4. +
  4. Docker Compose & Container Orchestration
    5. +
  5. Kubernetes Deployment & Services
    6. +
  6. Kubernetes ConfigMaps, Secrets & Helm
    7. +
  7. Infrastructure as Code with Terraform
    8. +
  8. Configuration Management with Ansible
    9. +
  9. Monitoring with Prometheus & Grafana
    10. +
  10. GitOps with ArgoCD
    11. +
  11. Security Scanning & DevSecOps
    12. +
  12. WebAssembly Containers vs Traditional (Spin Cloud)
    13. +
+
+ +
+

Course Resources

+

All course materials, lab instructions, and submission guidelines are available on GitHub.

+ +
+

Ready to Start Your DevOps Journey?

+

+ Fork the repository, follow the lab instructions, and submit your work via Pull Requests. Get hands-on experience with industry-standard DevOps practices. +

+ + 📚 + Access Course Repository + +
+ +
+
+ 📖 +

Lab Instructions

+

Detailed step-by-step guides for each lab with acceptance criteria and submission guidelines.

+
+
+ 💬 +

Course Communication

+

Use GitHub Issues for questions and Discussions for course-related conversations.

+
+
+ 🎯 +

Grading & Feedback

+

Receive detailed feedback on your Pull Requests and track your progress through the course.

+
+
+
+ + + + diff --git a/labs/lab1.md b/labs/lab1.md index 2bd311e7..aa6b7b5c 100644 --- a/labs/lab1.md +++ b/labs/lab1.md @@ -30,23 +30,36 @@ These are the foundation of collaboration and trust in DevOps teams. 1. **Research Commit Signing Benefits:** - Research why commit signing is crucial for verifying the integrity and authenticity of commits. - - Resources: - - [GitHub Docs on SSH Commit Verification](https://docs.github.com/en/authentication/managing-commit-signature-verification/about-commit-signature-verification) - - [Atlassian Guide to SSH and Git](https://confluence.atlassian.com/bitbucketserver/sign-commits-and-tags-with-ssh-keys-1305971205.html) + +
+ 📚 Recommended Resources + + - [GitHub Docs on SSH Commit Verification](https://docs.github.com/en/authentication/managing-commit-signature-verification/about-commit-signature-verification) + - [Atlassian Guide to SSH and Git](https://confluence.atlassian.com/bitbucketserver/sign-commits-and-tags-with-ssh-keys-1305971205.html) + +
#### 1.2: Set Up SSH Commit Signing -1. **Generate SSH Key (Option A - Recommended):** +
+🔑 Option A: Generate New SSH Key (Recommended) - ```sh - ssh-keygen -t ed25519 -C "your_email@example.com" - ``` +```sh +ssh-keygen -t ed25519 -C "your_email@example.com" +``` + +Follow the prompts to save the key (default location is fine) and optionally set a passphrase. + +
+ +
+🔑 Option B: Use Existing SSH Key -2. **Use Existing SSH Key (Option B):** +If you already have an SSH key for GitHub authentication, you can reuse it for commit signing. Just ensure it's added to your GitHub account under **Settings → SSH and GPG keys**. - - Use an existing SSH key and add it to GitHub. +
-3. **Configure Git for SSH Signing:** +1. **Configure Git for SSH Signing:** ```sh git config --global user.signingkey @@ -54,6 +67,8 @@ These are the foundation of collaboration and trust in DevOps teams. git config --global gpg.format ssh ``` + Replace `` with your public key path (e.g., `~/.ssh/id_ed25519.pub`). + #### 1.3: Make a Signed Commit 1. **Create and Sign Commit:** @@ -80,29 +95,54 @@ In `labs/submission1.md`, document: 1. **Template Location and Setup:** - ```bash - # Path: .github/pull_request_template.md - # Commit message: docs: add PR template - ``` - -2. **Template Options:** - - - **Option A (discover):** Find a concise PR template from a reputable open-source project or GitHub docs and adapt it. - - **Option B (write your own):** Create a minimal template with these sections and a 3-item checklist: - - Sections: **Goal**, **Changes**, **Testing** - - Checklist (3 items): clear title, docs/README updated if needed, no secrets/large temp files - - Keep it short and practical (aim for ≤ 30 lines). + Create a file at `.github/pull_request_template.md` in your repository. + +2. **Choose Your Approach:** + +
+ 📝 Option A: Discover and Adapt + + Find a concise PR template from a reputable open-source project or GitHub docs and adapt it to your needs. Look for templates that include: + - Clear sections (Goal/Purpose, Changes, Testing) + - A practical checklist + - Concise format (≤ 30 lines) + +
+ +
+ 📝 Option B: Write Your Own + + Create a minimal template with these sections: + + **Sections:** + - **Goal** — What does this PR accomplish? + - **Changes** — What was modified? + - **Testing** — How was it verified? + + **Checklist** (3 items): + - [ ] Clear, descriptive PR title + - [ ] Documentation/README updated (if needed) + - [ ] No secrets or large temporary files committed + + Keep it short and practical (≤ 30 lines). + +
#### 2.2: Create Lab Branch and Open PR 1. **Branch Creation:** +
+ 💻 Commands + ```bash git checkout -b feature/lab1 git add . git commit -m "docs: add lab1 submission stub" git push -u origin feature/lab1 ``` + +
#### 2.3: Verify Template Application @@ -118,15 +158,6 @@ In `labs/submission1.md`, document: - Analysis of how PR templates improve collaboration. - Note any challenges encountered during setup. -## Acceptance Criteria - -- ✅ Branch `feature/lab1` exists with commits for each task. -- ✅ File `labs/submission1.md` contains required outputs and analysis for Tasks 1-2. -- ✅ At least one commit shows **"Verified"** (signed via SSH) on GitHub. -- ✅ File `.github/pull_request_template.md` exists on the **main** branch. -- ✅ PR from `feature/lab1` → **course repo main branch** is open. -- ✅ PR link submitted via Moodle before the deadline. - --- ## How to Submit @@ -154,6 +185,17 @@ In `labs/submission1.md`, document: --- +## Acceptance Criteria + +- ✅ Branch `feature/lab1` exists with commits for each task. +- ✅ File `labs/submission1.md` contains required outputs and analysis for Tasks 1-2. +- ✅ At least one commit shows **"Verified"** (signed via SSH) on GitHub. +- ✅ File `.github/pull_request_template.md` exists on the **main** branch. +- ✅ PR from `feature/lab1` → **course repo main branch** is open. +- ✅ PR link submitted via Moodle before the deadline. + +--- + ## Rubric (10 pts) | Criterion | Points | @@ -171,12 +213,22 @@ In `labs/submission1.md`, document: - Document template setup process and verification steps. - Ensure commit signing is working correctly with verification screenshots. -> **Security Notes** -> 1. Ensure the email on your commits matches your GitHub account for proper verification. -> 2. Keep SSH keys secure and never commit private keys to repositories. -> 3. Verify `gpg.format` is set to `ssh` for proper signing configuration. +
+🔒 Security Notes + +1. Ensure the email on your commits matches your GitHub account for proper verification. +2. Keep SSH keys secure and never commit private keys to repositories. +3. Verify `gpg.format` is set to `ssh` for proper signing configuration. +4. Use a passphrase for your SSH keys in production environments. + +
+ +
+📋 Template Best Practices + +1. Confirm the path is `.github/pull_request_template.md` **on `main`** before opening the PR. +2. Re-open the PR description editor after adding the template if it didn't auto-fill. +3. Keep templates short—reviewers read many PRs, concise templates get filled, long ones get ignored. +4. Test your template by opening a test PR before submitting the lab. -> **Template Notes** -> 1. Confirm the path is `.github/pull_request_template.md` **on `main`** before opening the PR. -> 2. Re-open the PR description after adding the template if it didn't auto-fill. -> 3. Keep templates short—reviewers read many PRs, concise templates get filled, long ones get ignored. +
diff --git a/labs/lab10.md b/labs/lab10.md new file mode 100644 index 00000000..cf1ba99b --- /dev/null +++ b/labs/lab10.md @@ -0,0 +1,213 @@ +# Lab 10 — Cloud Computing Fundamentals + +![difficulty](https://img.shields.io/badge/difficulty-beginner-success) +![topic](https://img.shields.io/badge/topic-Cloud%20Computing-blue) +![points](https://img.shields.io/badge/points-10-orange) + +> **Goal:** Research and compare artifact registries and serverless computing platforms across major cloud providers (AWS, GCP, Azure). +> **Deliverable:** A PR from `feature/lab10` to the course repo with `labs/submission10.md` containing comparative analysis of cloud services. Submit the PR link via Moodle. + +--- + +## Overview + +In this lab you will practice: +- Researching **artifact registries** across AWS, GCP, and Azure. +- Comparing **serverless computing platforms** on major cloud providers. +- Analyzing key features, pricing models, and use cases for cloud services. +- Documenting findings in a structured, comparative format. + +These skills are essential for making informed decisions about cloud infrastructure and selecting appropriate services for DevOps workflows. + +--- + +## Tasks + +### Task 1 — Artifact Registries Research (5 pts) + +**Objective:** Identify and document the most popular artifact registries in AWS, GCP, and Azure. + +**Why This Matters:** Artifact registries are critical for storing, managing, and distributing container images, packages, and build artifacts in modern DevOps pipelines. Understanding different registry options helps you choose the right solution for your infrastructure. + +#### 1.1: Research Artifact Registries + +1. **Explore Cloud Provider Documentation:** + + Research the official documentation and services for: + - **AWS:** Identify AWS's primary artifact registry service + - **GCP:** Identify GCP's primary artifact registry service + - **Azure:** Identify Azure's primary artifact registry service + +
+ 🔍 What to research + + For each artifact registry service, investigate: + - Official service name + - What types of artifacts it supports (container images, npm packages, Maven, etc.) + - Key features (security scanning, geo-replication, access control, etc.) + - Integration with other cloud services + - Pricing model basics + - Common use cases + +
+ +#### 1.2: Document Your Findings + +In `labs/submission10.md`, document: +- Service name for each cloud provider +- Key features of each artifact registry +- Supported artifact types +- Integration capabilities +- Comparison table highlighting similarities and differences +- Analysis: Which registry service would you choose for a multi-cloud strategy and why? + +--- + +### Task 2 — Serverless Computing Platform Research (5 pts) + +**Objective:** Identify and document the best serverless computing platforms in AWS, GCP, and Azure. + +**Why This Matters:** Serverless computing enables developers to run code without managing servers, reducing operational overhead and enabling auto-scaling. Understanding serverless options is crucial for modern application architecture. + +#### 2.1: Research Serverless Computing Platforms + +1. **Explore Serverless Offerings:** + + Research serverless computing services for: + - **AWS:** Identify AWS's primary serverless compute service(s) + - **GCP:** Identify GCP's primary serverless compute service(s) + - **Azure:** Identify Azure's primary serverless compute service(s) + +
+ 🔍 What to research + + For each serverless platform, investigate: + - Official service name(s) + - Supported programming languages/runtimes + - Execution models (event-driven, HTTP-triggered, etc.) + - Cold start performance characteristics + - Integration with other cloud services + - Pricing model (per invocation, per execution time, etc.) + - Maximum execution duration limits + - Common use cases and architectures + +
+ +#### 2.2: Document Your Findings + +In `labs/submission10.md`, document: +- Service name(s) for each cloud provider +- Key features and capabilities +- Supported runtimes and languages +- Pricing comparison +- Performance characteristics +- Comparison table highlighting similarities and differences +- Analysis: Which serverless platform would you choose for a REST API backend and why? +- Reflection: What are the main advantages and disadvantages of serverless computing? + +--- + +## How to Submit + +1. Create a branch for this lab and push it to your fork: + + ```bash + git switch -c feature/lab10 + # create labs/submission10.md with your findings + git add labs/submission10.md + git commit -m "docs: add lab10 submission" + git push -u origin feature/lab10 + ``` + +2. Open a PR from your fork's `feature/lab10` branch → **course repository's main branch**. + +3. In the PR description, include: + + ```text + - [x] Task 1 — Artifact Registries Research + - [x] Task 2 — Serverless Computing Platform Research + ``` + +4. **Copy the PR URL** and submit it via **Moodle before the deadline**. + +--- + +## Acceptance Criteria + +- ✅ Branch `feature/lab10` exists with commits for each task. +- ✅ File `labs/submission10.md` contains comprehensive research and analysis for Tasks 1-2. +- ✅ Comparison tables included for both artifact registries and serverless platforms. +- ✅ Analysis demonstrates understanding of cloud service differences. +- ✅ PR from `feature/lab10` → **course repo main branch** is open. +- ✅ PR link submitted via Moodle before the deadline. + +--- + +## Rubric (10 pts) + +| Criterion | Points | +| ----------------------------------------------- | -----: | +| Task 1 — Artifact Registries Research | **5** | +| Task 2 — Serverless Computing Platform Research | **5** | +| **Total** | **10** | + +--- + +## Guidelines + +- Use clear Markdown headers to organize sections in `submission10.md`. +- Include comparison tables for easy reference. +- Cite official documentation sources. +- Provide thoughtful analysis beyond just listing features. +- Focus on understanding trade-offs between different cloud providers. + +
+📚 Helpful Resources + +**AWS Documentation:** +- [AWS Documentation Portal](https://docs.aws.amazon.com/) +- [AWS Services Overview](https://aws.amazon.com/products/) + +**GCP Documentation:** +- [Google Cloud Documentation](https://cloud.google.com/docs) +- [GCP Products and Services](https://cloud.google.com/products) + +**Azure Documentation:** +- [Azure Documentation](https://docs.microsoft.com/azure/) +- [Azure Services Directory](https://azure.microsoft.com/en-us/services/) + +
+ +
+💡 Research Tips + +1. Start with official cloud provider documentation for accurate information. +2. Look for comparison articles and whitepapers from reputable sources. +3. Check pricing pages to understand cost models. +4. Review case studies to understand real-world use cases. +5. Consider factors like vendor lock-in, migration complexity, and ecosystem integration. +6. Use comparison tables to organize your findings clearly. + +
+ +
+🎯 Key Comparison Factors + +**For Artifact Registries:** +- Supported artifact formats +- Security features (vulnerability scanning, access control) +- Geographic distribution and replication +- Integration with CI/CD tools +- Storage limits and pricing +- Performance and reliability + +**For Serverless Platforms:** +- Language/runtime support +- Cold start latency +- Execution duration limits +- Concurrency and scaling +- Event sources and triggers +- Pricing model (pay-per-execution) +- Observability and monitoring + +
\ No newline at end of file diff --git a/labs/lab11.md b/labs/lab11.md new file mode 100644 index 00000000..fadbcaef --- /dev/null +++ b/labs/lab11.md @@ -0,0 +1,297 @@ +# Lab 11 — Decentralized Web Hosting with IPFS & 4EVERLAND + +![difficulty](https://img.shields.io/badge/difficulty-intermediate-yellow) +![topic](https://img.shields.io/badge/topic-Web3%20%26%20IPFS-blue) +![points](https://img.shields.io/badge/points-10-orange) + +> **Goal:** Explore decentralized web technologies by setting up a local IPFS node and deploying a static site using 4EVERLAND's automation platform. +> **Deliverable:** A PR from `feature/lab11` to the course repo with `labs/submission11.md` containing IPFS CIDs, deployment URLs, and analysis. Submit the PR link via Moodle. + +--- + +## Overview + +In this lab you will practice: +- Setting up and running a **personal IPFS node** using Docker. +- Publishing files to the **decentralized IPFS network** and understanding content addressing. +- Deploying a **static website** to IPFS using 4EVERLAND's automation platform. +- Verifying content accessibility through multiple IPFS gateways. + +IPFS (InterPlanetary File System) enables decentralized, content-addressed storage that's resilient to single-point failures. These skills prepare you for Web3 development and decentralized application hosting. + +--- + +## Tasks + +### Task 1 — Local IPFS Node Setup and File Publishing (5 pts) + +**Objective:** Run a personal IPFS node using Docker, publish files to the IPFS network, and verify decentralized access through public gateways. + +**Why This Matters:** IPFS provides a foundation for decentralized web hosting, ensuring content remains accessible even if individual servers go offline. Understanding IPFS is crucial for Web3 development. + +#### 1.1: Start IPFS Container + +1. **Deploy IPFS Node:** + + ```bash + docker run -d --name ipfs_node \ + -v ipfs_staging:/export \ + -v ipfs_data:/data/ipfs \ + -p 4001:4001 -p 8080:8080 -p 5001:5001 \ + ipfs/kubo:latest + ``` + +
+ 🔍 Understanding IPFS ports + + - `4001`: P2P communication with other IPFS nodes + - `8080`: HTTP gateway for accessing IPFS content + - `5001`: API endpoint for IPFS commands and Web UI + +
+ +2. **Wait for Initialization:** + + Wait 60 seconds for the node to initialize and connect to peers. + +#### 1.2: Verify Node Operation + +1. **Check Connected Peers:** + + ```bash + docker exec ipfs_node ipfs swarm peers + ``` + + You should see a list of connected IPFS peers. + +2. **Access IPFS Web UI:** + + Open your browser and navigate to: `http://127.0.0.1:5001/webui/` + + Explore: + - Connected peers count + - Network bandwidth statistics + - Node status + +#### 1.3: Add File to IPFS + +1. **Create Test File:** + + ```bash + echo "Hello IPFS Lab" > testfile.txt + docker cp testfile.txt ipfs_node:/export/ + ``` + +2. **Add File to IPFS:** + + ```bash + docker exec ipfs_node ipfs add /export/testfile.txt + ``` + + Note the generated CID (Content Identifier), e.g., `QmXgZAUWd8yo4tvjBETqzUy3wLx5YRzuDwUQnBwRGrAmAo` + +#### 1.4: Access Content + +1. **Via Local Gateway:** + + Open in browser: `http://localhost:8080/ipfs/` + +2. **Via Public Gateways:** + + - `https://ipfs.io/ipfs/` + - `https://cloudflare-ipfs.com/ipfs/` + + > **Note:** Public gateway access may take 2-5 minutes to propagate + +In `labs/submission11.md`, document: +- IPFS node peer count from Web UI +- Network bandwidth statistics +- Test file CID +- Screenshots of local gateway access +- Public gateway URLs +- Analysis: How does IPFS's content addressing differ from traditional URLs? +- Reflection: What are the advantages and disadvantages of decentralized storage? + +--- + +### Task 2 — Static Site Deployment with 4EVERLAND (5 pts) + +**Objective:** Deploy a website to IPFS using 4EVERLAND's automation platform and manage continuous deployment workflows. + +**Why This Matters:** 4EVERLAND simplifies deploying and managing websites on decentralized infrastructure, providing CI/CD-like workflows for Web3 hosting with automatic IPFS publishing. + +#### 2.1: Set Up 4EVERLAND Project + +1. **Create Account:** + + Sign up at [4EVERLAND.org](https://www.4everland.org/) (use GitHub or wallet authentication) + +2. **Create New Project:** + +
+ 📋 Project Setup Steps + + 1. Click "Create New Project" → "Connect GitHub repository" + 2. Select your current course repository (or any personal web app/site) + 3. Choose branch to deploy + 4. Configure build settings: + - **Platform:** IPFS/Filecoin + - **Framework:** Other (or select appropriate framework) + - **Publish directory:** `/app` (adjust based on your project structure) + 5. Click "Deploy" + +
+ +#### 2.2: Verify Deployment + +1. **Check Deployment Status:** + + In 4EVERLAND dashboard: + - Wait for deployment to complete + - Note the IPFS CID under "Site Info" + - Access site via provided `*.4everland.app` subdomain + +2. **Verify on Public Gateway:** + + Access your site via: `https://ipfs.io/ipfs/` + +3. **Test Continuous Deployment (Optional):** + + - Make a change to your repository + - Push to GitHub + - Observe automatic redeployment in 4EVERLAND + +In `labs/submission11.md`, document: +- 4EVERLAND project URL (`your-site.4everland.app`) +- GitHub repository used (if personal project) +- IPFS CID from 4EVERLAND dashboard +- Screenshots of: + - 4EVERLAND deployment dashboard + - Site accessed through 4EVERLAND domain + - Site accessed through public IPFS gateway +- Analysis: How does 4EVERLAND simplify IPFS deployment compared to manual methods? +- Comparison: What are the trade-offs between traditional web hosting and IPFS hosting? + +--- + +## How to Submit + +1. Create a branch for this lab and push it to your fork: + + ```bash + git switch -c feature/lab11 + # create labs/submission11.md with your findings + git add labs/submission11.md + git commit -m "docs: add lab11 submission" + git push -u origin feature/lab11 + ``` + +2. Open a PR from your fork's `feature/lab11` branch → **course repository's main branch**. + +3. In the PR description, include: + + ```text + - [x] Task 1 — Local IPFS Node Setup and File Publishing + - [x] Task 2 — Static Site Deployment with 4EVERLAND + ``` + +4. **Copy the PR URL** and submit it via **Moodle before the deadline**. + +--- + +## Acceptance Criteria + +- ✅ Branch `feature/lab11` exists with commits for each task. +- ✅ File `labs/submission11.md` contains required outputs and analysis for Tasks 1-2. +- ✅ IPFS node successfully deployed with documented peer connections. +- ✅ Test file published to IPFS with valid CID. +- ✅ 4EVERLAND deployment completed with working site URL. +- ✅ Screenshots included as evidence. +- ✅ PR from `feature/lab11` → **course repo main branch** is open. +- ✅ PR link submitted via Moodle before the deadline. + +--- + +## Rubric (10 pts) + +| Criterion | Points | +| --------------------------------------------------- | -----: | +| Task 1 — Local IPFS Node Setup and File Publishing | **5** | +| Task 2 — Static Site Deployment with 4EVERLAND | **5** | +| **Total** | **10** | + +--- + +## Guidelines + +- Use clear Markdown headers to organize sections in `submission11.md`. +- Include both command outputs and written analysis for each task. +- Take clear screenshots showing successful deployments. +- Provide thoughtful analysis of decentralized web technologies. +- Document any challenges encountered during setup. + +
+📚 Helpful Resources + +- [IPFS Documentation](https://docs.ipfs.tech/) +- [IPFS Kubo (Go-IPFS) GitHub](https://github.com/ipfs/kubo) +- [4EVERLAND Documentation](https://docs.4everland.org/) +- [Understanding IPFS](https://docs.ipfs.tech/concepts/) +- [Content Addressing Explained](https://docs.ipfs.tech/concepts/content-addressing/) + +
+ +
+💡 IPFS Tips + +1. **Content Addressing:** IPFS uses CIDs (Content Identifiers) based on file content, not location. +2. **Propagation Delays:** Public gateway access may take time as content propagates through the network. +3. **Pinning:** Files need to be "pinned" to remain available; unpinned content may be garbage collected. +4. **Gateway Selection:** Different gateways may have different performance characteristics. +5. **Persistence:** 4EVERLAND pins your content automatically, ensuring availability. + +
+ +
+🌐 Decentralized Web Concepts + +**Traditional Web (Web 2.0):** +- Centralized servers +- Location-based addressing (URLs) +- Single point of failure +- Controlled by hosting providers + +**Decentralized Web (Web3/IPFS):** +- Distributed peer-to-peer network +- Content-based addressing (CIDs) +- Resilient to server failures +- Censorship-resistant +- Content permanence through pinning + +**Key Differences:** +- IPFS content is addressed by what it is (hash), not where it is (URL) +- Content remains accessible as long as at least one node has it +- No central authority controls content availability + +
+ +
+🔧 Troubleshooting + +**If IPFS node won't start:** +- Check Docker is running: `docker ps` +- Check port availability: `lsof -i :4001,8080,5001` +- View logs: `docker logs ipfs_node` + +**If public gateways don't work:** +- Wait 2-5 minutes for network propagation +- Try different public gateways +- Verify CID is correct +- Check your local gateway works first + +**If 4EVERLAND deployment fails:** +- Verify GitHub repository permissions +- Check build settings match your project structure +- Review deployment logs in 4EVERLAND dashboard + +
\ No newline at end of file diff --git a/labs/lab12.md b/labs/lab12.md new file mode 100644 index 00000000..fcd2509f --- /dev/null +++ b/labs/lab12.md @@ -0,0 +1,1115 @@ +# Lab 12 — WebAssembly Containers vs Traditional Containers + +![difficulty](https://img.shields.io/badge/difficulty-advanced-red) +![topic](https://img.shields.io/badge/topic-WASM%20%26%20Containers-blue) +![points](https://img.shields.io/badge/points-10-orange) + +> **Goal:** Build a Go web application and compare WebAssembly (WASM) containers with traditional Docker containers using the **same source code** compiled to different targets. +> **Deliverable:** A PR from `feature/lab12` to the course repo with `labs/submission12.md` containing performance benchmarks, analysis, and comparison. Submit the PR link via Moodle. + +--- + +## Overview + +In this lab you will: +- Review a **Go HTTP web application** that works in both server and CLI modes. +- Build **traditional Docker containers** with standard Go compilation. +- Build **WASM containers** using TinyGo and run them with containerd's `ctr` CLI. +- Benchmark and compare **startup times, image sizes, and binary sizes** using the **same source code**. +- Understand why WASM containers have limitations (no TCP sockets in WASI Preview1). +- **Bonus:** Deploy to **Fermyon Spin Cloud** for serverless WASM hosting with server mode support. + +> **Prerequisites:** +> - Linux host with containerd installed +> - Docker is used for traditional containers (Task 2) +> - containerd + `ctr` CLI is used for WASM containers (Task 3) +> - CLI mode benchmarks are the primary comparison; server mode requires Spin (Bonus Task) + +**Key Insight:** You'll use the **exact same `main.go`** file for all three deployment targets: +1. **Traditional Docker** → native Linux binary → `net/http` server (CLI + server modes) +2. **WASM container via `ctr`** → TinyGo WASM binary → CLI mode only (WASI Preview1 limits) +3. **Spin Cloud** (Bonus) → same WASM binary → WAGI mode → HTTP server + +This demonstrates "write once, compile anywhere" with significantly better performance characteristics for WASM. + +--- + +## Tasks + +### Task 1 — Create the Moscow Time Application (2 pts) + +**Objective:** Build a Go application that works in both server mode (HTTP) and CLI mode (one-shot JSON output). + +#### 1.1: Navigate to Lab Directory + +1. **Navigate to the lab folder:** + + ```bash + cd labs/lab12 + ``` + + > **Note:** The `main.go` and `spin.toml` reference files are already provided in this directory. You'll work directly here for all tasks. + +#### 1.2: Review the Go Application + +1. **Examine the provided `main.go`:** + + This single file works in **three different execution contexts**: + - **CLI mode** (`MODE=once`): Prints JSON once and exits → used for benchmarking in both Docker and WASM + - **Traditional server mode** (`net/http`): Runs a standard Go HTTP server → works in Docker + - **WAGI mode** (Spin): Detects CGI-style environment variables and responds via STDOUT → works in Spin + + **Key Implementation Details:** + + - `isWagi()` function detects if running under Spin by checking for `REQUEST_METHOD` env var + - `runWagiOnce()` handles a single HTTP request by printing headers and body to STDOUT (CGI/WAGI style) + - Falls back to standard `net/http` server if not in CLI or WAGI mode + - Uses `time.FixedZone` instead of `time.LoadLocation` (timezone databases may not be available in minimal WASM environments) + + > **Why this works:** Spin's WAGI executor starts your WASM per request, sets CGI-style environment variables (`REQUEST_METHOD`, `PATH_INFO`), and expects HTTP headers + body on STDOUT. No Spin SDK needed! + + The file is already in `labs/lab12/main.go` - review the code to understand: + - How `isWagi()` detects the execution context + - How `runWagiOnce()` handles CGI-style requests + - How the same code works in all three modes + +2. **Test Both Modes Locally (Optional):** + + ```bash + # Test server mode + go run main.go + # Visit http://localhost:8080 in another terminal + + # Test CLI mode + MODE=once go run main.go + ``` + +In `labs/submission12.md`, document: +- Screenshot of CLI mode output (`MODE=once`) +- Screenshot of server mode running in browser (if tested) +- Confirmation that you're working directly in `labs/lab12/` directory +- Explanation of how the single `main.go` works in three different contexts + +--- + +### Task 2 — Build Traditional Docker Container (3 pts) + +**Objective:** Create a minimal Docker container using traditional Go compilation and measure its performance. + +#### 2.1: Review the Provided Dockerfile + +1. **Examine the provided `Dockerfile`:** + + The `Dockerfile` is already in `labs/lab12/Dockerfile`. Review its contents: + + - **Build stage:** Uses `golang:1.21-alpine` to compile the Go binary + - **Optimization flags:** `-tags netgo -trimpath -ldflags="-s -w -extldflags=-static"` for minimal size + - **Run stage:** Uses `FROM scratch` (truly empty base image) for smallest possible image + - **Static binary:** No external dependencies, fully self-contained + + > **Note:** We use `FROM scratch` (truly empty base image) instead of Alpine for the fairest comparison with WASM containers. The optimization flags produce a minimal, fully static binary with no external dependencies. + +#### 2.2: Build and Run Traditional Container + +1. **Ensure you're in the lab directory:** + + ```bash + cd labs/lab12 + ``` + +2. **Clean up any previous containers (optional but recommended):** + + ```bash + docker rm -f test-traditional test-wasm 2>/dev/null || true + docker image prune -f 2>/dev/null || true + ``` + +3. **Build Container:** + + ```bash + docker build -t moscow-time-traditional -f Dockerfile . + ``` + +4. **Test CLI Mode:** + + ```bash + docker run --rm -e MODE=once moscow-time-traditional + ``` + +5. **Test Server Mode (Optional):** + + ```bash + docker run --rm -p 8080:8080 moscow-time-traditional + ``` + + Test in browser: `http://localhost:8080` + +#### 2.3: Measure Performance + +1. **Check Binary Size:** + + ```bash + # Extract and check binary size + docker create --name temp-traditional moscow-time-traditional + docker cp temp-traditional:/app/moscow-time ./moscow-time-traditional + docker rm temp-traditional + ls -lh moscow-time-traditional + ``` + +2. **Check Image Size:** + + ```bash + docker images moscow-time-traditional + + # More precise size measurement + docker image inspect moscow-time-traditional --format '{{.Size}}' | \ + awk '{print $1/1024/1024 " MB"}' + ``` + +3. **Startup Time Benchmark (CLI Mode):** + + ```bash + # Compute average automatically + for i in {1..5}; do + /usr/bin/time -f "%e" docker run --rm -e MODE=once moscow-time-traditional 2>&1 | tail -n 1 + done | awk '{sum+=$1; count++} END {print "Average:", sum/count, "seconds"}' + ``` + +4. **Memory Usage (Server Mode):** + + In one terminal: + ```bash + docker run --rm --name test-traditional -p 8080:8080 moscow-time-traditional + ``` + + In another terminal: + ```bash + docker stats test-traditional --no-stream + ``` + +In `labs/submission12.md`, document: +- Binary size from `ls -lh moscow-time-traditional` +- Image size from both `docker images` and `docker image inspect` +- Average startup time across 5 CLI mode runs +- Memory usage from `docker stats` (MEM USAGE column) +- Screenshot of application running in browser (server mode) + +--- + +### Task 3 — Build WASM Container (ctr-based) (3 pts) + +**Objective:** Create a WebAssembly container using TinyGo to compile the **same `main.go`** file, package it as an OCI image, and run it via containerd's `ctr` CLI with a WASI runtime shim. + +> **Prerequisites:** +> - Linux host with containerd running +> - Wasmtime shim binary installed at `/usr/local/bin/containerd-shim-wasmtime-v1` +> - Shim registered in containerd configuration (covered in setup steps below) +> - `ctr` CLI (comes with containerd) + +> **Note:** We use `ctr` (containerd's native CLI) rather than `nerdctl` for simplicity. Docker Buildx creates the OCI archive, then `ctr` imports and runs it with the Wasmtime runtime. + +#### 3.1: Capture TinyGo Version + +1. **Record Build Environment:** + + ```bash + docker run --rm tinygo/tinygo:0.39.0 tinygo version + ``` + +#### 3.2: Build WASM Binary Using TinyGo + +1. **Ensure you're in the lab directory:** + + ```bash + cd labs/lab12 + ``` + +2. **Compile to WASM:** + + ```bash + # Linux/macOS: + docker run --rm \ + -v $(pwd):/src \ + -w /src \ + tinygo/tinygo:0.39.0 \ + tinygo build -o main.wasm -target=wasi main.go + + # Windows (PowerShell): + docker run --rm \ + -v ${PWD}:/src \ + -w /src \ + tinygo/tinygo:0.39.0 \ + tinygo build -o main.wasm -target=wasi main.go + + # Windows (CMD): + docker run --rm \ + -v %cd%:/src \ + -w /src \ + tinygo/tinygo:0.39.0 \ + tinygo build -o main.wasm -target=wasi main.go + ``` + +3. **Verify WASM Binary:** + + ```bash + ls -lh main.wasm + file main.wasm + ``` + +#### 3.3: Review the WASM Dockerfile + +1. **Examine the provided `Dockerfile.wasm`:** + + The `Dockerfile.wasm` is already in `labs/lab12/Dockerfile.wasm`. Review its contents: + + - **Base image:** `FROM scratch` (empty base, same as traditional Dockerfile) + - **Content:** Only copies the `main.wasm` binary + - **Entry point:** Directly executes the WASM module + - **Size:** Extremely minimal - just the WASM binary plus minimal OCI metadata + + > **Note:** This is a WASI module. The `EXPOSE` directive is informational only and doesn't enable networking. The actual runtime (wasmtime shim) handles WASM execution. + +#### 3.4: Build and Run WASM Container + +**Install and Verify Prerequisites:** + +Before building, ensure your environment is ready: + +1. **Install containerd (if not already installed):** + + ```bash + # For Ubuntu/Debian + sudo apt-get update + sudo apt-get install -y containerd + + # Start and enable containerd + sudo systemctl enable --now containerd + sudo systemctl status containerd + # Should show "active (running)" + ``` + +2. **Verify ctr is available:** + + ```bash + # ctr comes bundled with containerd + ctr --version + ``` + + You should see output like: `ctr containerd.io 1.x.x` + +3. **Install the Wasmtime runtime shim:** + + We'll **build the shim from source using Docker** (no Rust installation needed!): + + ```bash + # Build the wasmtime shim using Docker (takes ~5-10 minutes) + docker run --rm \ + -v "$PWD:/out" \ + -w /work \ + rust:slim-bookworm \ + bash -lc ' + set -euo pipefail + export DEBIAN_FRONTEND=noninteractive + export PATH="/usr/local/cargo/bin:$PATH" + + echo "[1/5] Install build deps" + apt-get update + apt-get install -y git build-essential pkg-config libssl-dev libseccomp-dev \ + protobuf-compiler clang make ca-certificates curl + + echo "[2/5] Ensure Rust toolchain is available" + if ! command -v cargo >/dev/null 2>&1; then + echo "cargo not found; bootstrapping via rustup..." + curl --proto "=https" --tlsv1.2 -sSf https://sh.rustup.rs \ + | sh -s -- -y --profile minimal --default-toolchain stable + . "$HOME/.cargo/env" + export PATH="$HOME/.cargo/bin:$PATH" + fi + rustc --version; cargo --version + + echo "[3/5] Clone runwasi" + rm -rf runwasi + git clone --depth 1 https://github.com/containerd/runwasi.git + cd runwasi + + echo "[4/5] Build Wasmtime shim (release)" + cargo build --release -p containerd-shim-wasmtime + + echo "[5/5] Copy binary to host" + install -m 0755 target/release/containerd-shim-wasmtime-v1 /out/ + ' + + + # Install the shim to /usr/local/bin + sudo install -D -m0755 containerd-shim-wasmtime-v1 /usr/local/bin/ + + # Verify installation + ls -la /usr/local/bin/containerd-shim-wasmtime-v1 + ``` + + > **Why Docker?** This approach avoids installing Rust toolchain on your host system. The container handles all build dependencies (Rust, Cargo, libseccomp, protobuf, etc.) automatically, and outputs only the compiled shim binary. + +4. **Configure containerd to register the wasmtime shim:** + + > **Why configure containerd?** While `ctr` can use the shim binary directly, registering it in containerd's configuration ensures it's available for Kubernetes and other CRI clients. It's good practice for production environments. + + ```bash + # Backup existing config if present + sudo cp /etc/containerd/config.toml /etc/containerd/config.toml.backup 2>/dev/null || true + + # Generate default config if you don't have one + sudo mkdir -p /etc/containerd + containerd config default | sudo tee /etc/containerd/config.toml >/dev/null + ``` + + **Manually add the wasmtime runtime configuration:** + + Open the config file with your preferred editor: + + ```bash + sudo nano /etc/containerd/config.toml + # or + sudo vim /etc/containerd/config.toml + ``` + + Find the section `[plugins.'io.containerd.cri.v1.runtime'.containerd.runtimes]`. You'll see the `runc` runtime configuration there. **Add the wasmtime runtime block right after the `runc` block** (as a sibling, at the same indentation level): + + ```toml + [plugins.'io.containerd.cri.v1.runtime'.containerd.runtimes] + [plugins.'io.containerd.cri.v1.runtime'.containerd.runtimes.runc] + runtime_type = 'io.containerd.runc.v2' + runtime_path = '' + # ... other runc config ... + + # ✅ Add this whole block: + [plugins.'io.containerd.cri.v1.runtime'.containerd.runtimes.wasmtime] + runtime_type = 'io.containerd.wasmtime.v1' + [plugins.'io.containerd.cri.v1.runtime'.containerd.runtimes.wasmtime.options] + BinaryName = '/usr/local/bin/containerd-shim-wasmtime-v1' + ``` + + **Key points:** + - The `wasmtime` block should be at the same level as the `runc` block (both under `runtimes`) + - Use the same indentation as the `runc` section + - The `options` subsection is indented one more level + - Save and exit (`Ctrl+O`, `Enter`, `Ctrl+X` for nano; `:wq` for vim) + + **Restart containerd and verify configuration:** + + ```bash + sudo systemctl restart containerd + sudo systemctl status containerd --no-pager + # Should show "active (running)" + ``` + + **Verify the wasmtime runtime is correctly registered:** + + ```bash + # Check the runtimes section in the active config + sudo containerd config dump | sed -n "/io.containerd.cri.v1.runtime'.containerd/,/^\[/p" | sed -n '/runtimes/,+20p' + ``` + + You should see both `runc` and `wasmtime` runtimes listed, with the wasmtime section showing: + ```toml + [plugins."io.containerd.grpc.v1.cri".containerd.runtimes.wasmtime] + runtime_type = "io.containerd.wasmtime.v1" + ... + ``` + + > **Note:** If the wasmtime section doesn't appear, check your TOML indentation and hierarchy in `/etc/containerd/config.toml`. The wasmtime block should be at the same level as the runc block under the runtimes section. + +5. **Final verification:** + + ```bash + # Check that wasmtime shim is in the correct location + ls -la /usr/local/bin/containerd-shim-wasmtime-v1 + + # Verify containerd is running + sudo ctr version + ``` + +**Build OCI Archive and Import into containerd:** + +1. **Build WASI image to OCI archive using Docker Buildx:** + + ```bash + docker buildx build \ + --platform=wasi/wasm \ + -t moscow-time-wasm:latest \ + -f Dockerfile.wasm \ + --output=type=oci,dest=moscow-time-wasm.oci,annotation=index:org.opencontainers.image.ref.name=moscow-time-wasm:latest \ + . + ``` + + > **What this does:** Docker Buildx builds for the `wasi/wasm` platform and creates an OCI-compliant image archive. This archive can be imported into any OCI-compatible image store, including containerd. + +2. **Import the OCI archive into containerd:** + + ```bash + sudo ctr images import \ + --platform=wasi/wasm \ + --index-name docker.io/library/moscow-time-wasm:latest \ + moscow-time-wasm.oci + ``` + +3. **Verify the image was imported:** + + ```bash + sudo ctr images ls | grep -E 'moscow-time-wasm|wasi|wasm' + ``` + + You should see: `docker.io/library/moscow-time-wasm:latest` + +**Run WASM Container with ctr:** + +1. **Test CLI Mode (one-shot run):** + + ```bash + sudo ctr run --rm \ + --runtime io.containerd.wasmtime.v1 \ + --platform wasi/wasm \ + --env MODE=once \ + docker.io/library/moscow-time-wasm:latest wasi-once + ``` + + > **Note:** The final argument (`wasi-once`) is a unique container name required by `ctr`. + +2. **Server Mode Limitation:** + + **Plain WASI (Preview1) modules do not support TCP sockets.** Server mode under `ctr` is not supported for the standard `main.wasm` you just built, because WASI Preview1 lacks networking capabilities. + + If you try to run without `MODE=once`, you'll see: + ``` + Server starting on :8080 + Netdev not set + ``` + + The TinyGo `net/http` library attempts to open a socket, but the WASI runtime has no "netdev" to provide, so nothing binds. + + **For server mode, use Spin (Bonus Task)** with the **same `main.wasm`** (no rebuild needed!): + - `spin up` → test at `http://localhost:3000` + - Spin provides the HTTP server and uses CGI-style environment variables + - Your `main.go` already handles WAGI mode via the `isWagi()` and `runWagiOnce()` functions + - Same binary, different execution context ✅ + +#### 3.5: Measure WASM Performance + +1. **Check Sizes:** + + ```bash + # Binary size + ls -lh main.wasm + + # Image size (ctr images ls) + sudo ctr images ls | awk 'NR>1 && $1 ~ /moscow-time-wasm/ {print "IMAGE:", $1, "SIZE:", $4}' + ``` + +2. **Startup Time Benchmark (CLI Mode with unique names):** + + > **Important:** `ctr run` requires unique container names for each invocation. We generate unique names using timestamps. + + ```bash + for i in {1..5}; do + NAME="wasi-$(date +%s%N | tail -c 6)-$i" + /usr/bin/time -f "%e" sudo ctr run --rm \ + --runtime io.containerd.wasmtime.v1 \ + --platform wasi/wasm \ + --env MODE=once \ + docker.io/library/moscow-time-wasm:latest "$NAME" 2>&1 | tail -n 1 + done | awk '{sum+=$1; n++} END{printf("Average: %.4f seconds\n", sum/n)}' + ``` + +3. **Memory Usage:** + + Memory reporting for WASM containers via `ctr` is typically not available. WASM runs in a sandboxed runtime with different resource accounting mechanisms than traditional Linux containers. + + **What to document:** State "N/A - not available via ctr" and explain that WASM uses a different execution model. The wasmtime runtime manages WASM memory internally, and traditional container metrics (cgroups) don't apply. + +In `labs/submission12.md`, document: +- TinyGo version used +- WASM binary size (from `ls -lh main.wasm`) +- WASI image size (from `ctr images ls`) +- Average startup time from the `ctr run` benchmark loop (CLI mode) +- Explanation of why server mode doesn't work under `ctr` (WASI Preview1 lacks socket support) +- Note that server mode **can** be demonstrated via Spin using the same `main.wasm` +- Memory usage reporting (likely "N/A" with explanation) +- Note: used **same source code** as traditional build +- Confirmation that you used `ctr` (containerd CLI) for WASM execution + +--- + +### Task 4 — Performance Comparison & Analysis (2 pts) + +**Objective:** Analyze and compare the performance characteristics of traditional vs WASM containers built from the **same source code**. + +#### 4.1: Create Comprehensive Comparison Table + +| Metric | Traditional Container | WASM Container | Improvement | Notes | +|--------|----------------------|----------------|-------------|-------| +| **Binary Size** | ___ MB | ___ MB | __% smaller | From `ls -lh` | +| **Image Size** | ___ MB | ___ MB | __% smaller | From `docker image inspect` | +| **Startup Time (CLI)** | ___ ms | ___ ms | __x faster | Average of 5 runs | +| **Memory Usage** | ___ MB | ___ MB or N/A | __% less | From `docker stats` | +| **Base Image** | scratch | scratch | Same | Both minimal | +| **Source Code** | main.go | main.go | Identical | ✅ Same file! | +| **Server Mode** | ✅ Works (net/http) | ❌ Not via ctr
✅ Via Spin (WAGI) | N/A | WASI Preview1 lacks sockets;
Spin provides HTTP abstraction | + +**Improvement Calculation:** +- **Size reduction %**: `((Traditional - WASM) / Traditional) × 100` +- **Speed improvement factor**: `Traditional time / WASM time` +- **Memory reduction %**: `((Traditional - WASM) / Traditional) × 100` + +#### 4.2: Analysis Questions + +Answer the following in your submission: + +1. **Binary Size Comparison:** + - Why is the WASM binary so much smaller than the traditional Go binary? + - What did TinyGo optimize away? + +2. **Startup Performance:** + - Why does WASM start faster? + - What initialization overhead exists in traditional containers? + +3. **Use Case Decision Matrix:** + - When would you choose WASM over traditional containers? + - When would you stick with traditional containers? + +In `labs/submission12.md`, document: +- Complete comparison table with all metrics +- Calculated improvement percentages +- Detailed answers to all questions +- Recommendations for when to use each approach + +--- + +### Bonus Task — Deploy to Fermyon Spin Cloud (Extra Credit) + +**Objective:** Deploy your WASM application to Fermyon Spin Cloud for serverless edge hosting. + +**Why This Matters:** Spin is a production-ready WASM serverless platform that showcases real-world WASM deployment with instant global distribution. + +**🎯 Key Insight:** Your `main.go` already supports Spin! We'll use Spin's **WAGI executor** which runs your WASM in CGI mode—no SDK or code changes needed. The same file works for Docker (net/http), WASM containers (CLI mode), and Spin (WAGI mode). + +#### B.1: Install Spin CLI + +
+💻 Installation Commands + +**Linux/macOS:** +```bash +curl -fsSL https://developer.fermyon.com/downloads/install.sh | bash +sudo mv spin /usr/local/bin/ +``` + +**macOS (Homebrew):** +```bash +brew tap fermyon/tap +brew install fermyon/tap/spin +``` + +**Windows (PowerShell):** +```powershell +iwr https://developer.fermyon.com/downloads/install.ps1 -useb | iex +``` + +Verify installation: +```bash +spin --version +``` + +
+ +#### B.2: Review Spin Configuration (WAGI Mode) + +1. **Examine the provided `spin.toml`:** + + The configuration file is already in `labs/lab12/spin.toml`. + + **Key Configuration Details:** + + - `executor = { type = "wagi" }` tells Spin to use WAGI mode (CGI-style execution) + - Spin sets environment variables like `REQUEST_METHOD` and `PATH_INFO` + - Your program reads these vars, prints HTTP headers to STDOUT, then prints the response body + - No Spin SDK needed—pure Go standard library! + + > **Why WAGI?** WAGI (WebAssembly Gateway Interface) is a CGI-style protocol. Spin starts your WASM per request, sets env vars, and expects an HTTP response on STDOUT. This lets us use the **same `main.go`** across all platforms! + +#### B.3: Prepare WASM Binary for Spin + +> **Note:** If you completed Task 3, you already have `main.wasm` and can skip to B.4. The same binary works for both `ctr` and Spin! + +
+🔄 Rebuild WASM binary (only if needed) + +If you skipped Task 3 or need to rebuild: + +1. **Ensure you're in the lab directory:** + + ```bash + cd labs/lab12 + ``` + +2. **Build with TinyGo (same command as Task 3):** + + ```bash + # Linux/macOS: + docker run --rm \ + -v $(pwd):/src \ + -w /src \ + tinygo/tinygo:0.39.0 \ + tinygo build -o main.wasm -target=wasi main.go + + # Windows (PowerShell): + docker run --rm \ + -v ${PWD}:/src \ + -w /src \ + tinygo/tinygo:0.39.0 \ + tinygo build -o main.wasm -target=wasi main.go + ``` + +
+ +#### B.4: Test Locally with Spin + +1. **Verify you have the WASM binary:** + + ```bash + ls -lh main.wasm + ``` + + You should see the `main.wasm` file from Task 3. + +2. **Run Spin locally:** + + ```bash + spin up + ``` + + Test at `http://localhost:3000` + + > **Note:** Spin will automatically use the existing `main.wasm`. The `spin build` command in `spin.toml` only runs if the binary is missing. + +
+ 🔧 Troubleshooting + + **If Spin can't find the binary:** + ```bash + spin build + ``` + + **If TinyGo is not installed locally:** + The `main.wasm` from Task 3 should work. If you need to rebuild, see B.3 above. + +
+ +#### B.5: Deploy to Spin Cloud + +1. **Sign Up for Fermyon Cloud:** + + Visit [https://cloud.fermyon.com](https://cloud.fermyon.com) and create a free account. + +2. **Login via CLI:** + + ```bash + spin login + ``` + + > **Note:** Some installations use `spin cloud login` instead. If `spin login` fails, try: + > ```bash + > spin cloud login + > ``` + +3. **Deploy Application:** + + ```bash + spin deploy + ``` + + Spin will provide a public URL like: `https://moscow-time-abc123.fermyon.app` + +4. **Test Deployment:** + + ```bash + curl https://your-deployment-url.fermyon.app/api/time + ``` + +#### B.6: Measure and Compare Deployment Experience + +1. **Measure deployment time:** + + ```bash + # Time the deployment + time spin deploy + ``` + + Document: + - Upload time (shown in Spin output) + - Total deployment time (from `time` command) + +2. **Measure cold start latency:** + + After deployment, measure response times. First, save your deployment URL: + + ```bash + # Replace with your actual Spin Cloud URL from the deployment output + export SPIN_URL="https://moscow-time-abc123.fermyon.app" + + # Verify it works + curl -s "$SPIN_URL/api/time" | jq . + ``` + + **Calculate averages:** + + ```bash + # Cold start average + echo "Cold start average:" + for i in {1..5}; do + curl -sS -o /dev/null -w "%{time_total}\n" "$SPIN_URL/?_cold=$(date +%s%N)" 2>&1 + sleep 5 + done | awk '{sum+=$1; n++} END {printf("Average: %.4f seconds\n", sum/n)}' + + # Warm average + echo "Warm average:" + for i in {1..5}; do + curl -sS -o /dev/null -w "%{time_total}\n" "$SPIN_URL/api/time" 2>&1 + sleep 1 + done | awk '{sum+=$1; n++} END {printf("Average: %.4f seconds\n", sum/n)}' + ``` + + **Cold vs Warm:** + - **Cold start**: Cache-busted request → forces new WASM instance at edge PoP + - **Warm start**: Reuses running instance and/or CDN cache → much faster + + > **Note:** Your measurements will vary based on: + > - Geographic distance to nearest Fastly PoP + > - Network conditions and ISP routing + > - CDN cache state + > - Whether the specific edge PoP has a warm instance + +3. **Measure local Spin startup (for comparison):** + + Local execution has no network overhead: + + ```bash + # Start Spin locally in background + spin up & + SPIN_PID=$! + sleep 2 + + # Calculate average + echo "Local average:" + for i in {1..5}; do + curl -sS -o /dev/null -w "%{time_total}\n" "http://localhost:3000/api/time" + done | awk '{sum+=$1; n++} END {printf("Average: %.4f seconds\n", sum/n)}' + + # Stop Spin + kill $SPIN_PID + ``` + +In your **bonus section** of `labs/submission12.md`, document: + +- Public URL of your deployed application (`$SPIN_URL`) +- Deployment time from `spin deploy` command output +- **Cold start measurements:** + - Calculated average cold start time +- **Warm measurements:** + - Calculated average warm time + - Comparison with cold start times +- **Local Spin measurements:** + - Calculated average local time + - Comparison with cloud deployment +- **Reflection:** + - Would you use Spin for production workloads? Why or why not? + - How does this compare to traditional serverless (AWS Lambda, Cloud Functions)? + +--- + +## How to Submit + +1. Create a branch for this lab and push it to your fork: + + ```bash + git switch -c feature/lab12 + # Work in labs/lab12/ directory for all tasks + # Create labs/submission12.md with your findings + git add labs/lab12/ labs/submission12.md + git commit -m "docs: add lab12 submission" + git push -u origin feature/lab12 + ``` + +2. Open a PR from your fork's `feature/lab12` branch → **course repository's main branch**. + +3. In the PR description, include: + + ```text + - [x] Task 1 — Create the Moscow Time Application + - [x] Task 2 — Build Traditional Docker Container + - [x] Task 3 — Build WASM Container + - [x] Task 4 — Performance Comparison & Analysis + - [ ] Bonus — Deploy to Fermyon Spin Cloud (if completed) + + Key Achievement: Used the same main.go for both traditional and WASM builds! + Startup benchmarks performed using MODE=once for both targets. + ``` + +4. **Copy the PR URL** and submit it via **Moodle before the deadline**. + +--- + +## Acceptance Criteria + +- ✅ Branch `feature/lab12` exists with commits for each task. +- ✅ File `labs/submission12.md` contains required outputs and analysis for Tasks 1-4. +- ✅ Single `main.go` file used for traditional Docker, WASM containers, and Spin (via WAGI). +- ✅ Both traditional and WASM containers built successfully. +- ✅ WASM CLI mode runs successfully and is benchmarked via `ctr` with io.containerd.wasmtime.v1 runtime. +- ✅ Startup benchmarks performed using `MODE=once` for both traditional Docker and WASM containers. +- ✅ Server mode limitation explained (WASI Preview1 lacks socket support). +- ✅ (Optional) Server mode demonstrated via Spin using the same `main.go`/`main.wasm`. +- ✅ Performance benchmarks completed with documented results. +- ✅ Comparison table shows clear performance differences. +- ✅ All 3 analysis questions answered thoughtfully. +- ✅ TinyGo version and build environment documented. +- ✅ PR from `feature/lab12` → **course repo main branch** is open. +- ✅ PR link submitted via Moodle before the deadline. +- 🎁 **Bonus:** Spin Cloud deployment completed using the same `main.go` with WAGI executor (no Spin SDK needed), `spin.toml` configured with `executor = { type = "wagi" }`, and deployment documented (extra credit). + +--- + +## Rubric (10 pts + Bonus) + +| Criterion | Points | +| ----------------------------------------------- | -----: | +| Task 1 — Create the Moscow Time Application | **2** | +| Task 2 — Build Traditional Docker Container | **3** | +| Task 3 — Build WASM Container | **3** | +| Task 4 — Performance Comparison & Analysis | **2** | +| **Total (Required)** | **10** | +| **Bonus — Deploy to Fermyon Spin Cloud** | **+2** | +| **Maximum Possible** | **12** | + +**Note:** The bonus task provides extra credit that can boost your overall grade or serve as a buffer for other assignments. + +--- + +## Guidelines + +- Use clear Markdown headers to organize sections in `submission12.md`. +- Include both command outputs and written analysis for each task. +- Use `MODE=once` for reliable, consistent benchmarking. +- Document whether WASM server mode worked (accept either outcome). +- Take screenshots showing both containers running. +- Emphasize that you used **identical source code** for both builds. +- Provide thoughtful answers to all analysis questions. +- Run benchmarks multiple times for accurate averages. +- **Bonus task is optional** but highly recommended for learning cutting-edge WASM deployment. + +
+📚 Helpful Resources + +**Core Technologies:** +- [TinyGo Documentation](https://tinygo.org/docs/) +- [Docker WASM Documentation](https://docs.docker.com/desktop/wasm/) +- [WasmEdge Runtime](https://wasmedge.org/) +- [WebAssembly Official Site](https://webassembly.org/) +- [WASI Documentation](https://wasi.dev/) + +**Spin Platform:** +- [Fermyon Spin Documentation](https://developer.fermyon.com/spin) +- [Spin Quickstart](https://developer.fermyon.com/spin/quickstart) +- [Spin Cloud Documentation](https://developer.fermyon.com/cloud/index) +- [Spin with TinyGo](https://developer.fermyon.com/spin/go-components) + +**Build Optimization:** +- [Go Build Tags](https://pkg.go.dev/cmd/go#hdr-Build_constraints) +- [Go Linker Flags](https://pkg.go.dev/cmd/link) + +
+ +
+💡 Key Concepts + +**Same Source, Multiple Targets:** +- Traditional Docker: `go build` → native Linux binary → `net/http` server +- WASM container: `tinygo build -target=wasi` → WebAssembly binary → CLI mode +- Spin Cloud: Same WASM binary → WAGI mode (CGI-style) → global edge +- **One `main.go` file** works everywhere—detects context automatically! + +**MODE=once Design Pattern:** +- Provides reliable startup benchmark +- Guarantees functionality even without networking +- Apples-to-apples comparison +- Useful for CI/CD health checks + +**Spin Platform Benefits:** +- Serverless WASM hosting +- Global edge deployment (Fastly CDN) +- Microsecond cold starts +- No container orchestration needed +- Git-based deployment workflow + +**Build Optimization:** +- `CGO_ENABLED=0`: Pure Go, no C dependencies +- `-tags netgo`: Use Go native network stack +- `-trimpath`: Remove file system paths for reproducible builds +- `-ldflags="-s -w"`: Strip debug symbols and DWARF +- `-extldflags=-static`: Fully static linking +- Result: Minimal, portable binary + +
+ +
+🎯 Expected Performance Improvements + +Based on typical Go → TinyGo WASM compilation: + +**Binary Size:** +- Standard Go (with optimizations): ~5-8 MB +- TinyGo WASM: ~500 KB - 1.5 MB +- **Improvement: 80-90% smaller** + +**Image Size:** +- Traditional (scratch-based): ~6-10 MB +- WASM (scratch-based): ~1-2 MB +- **Improvement: 80-90% smaller** + +**Startup Time (CLI mode):** +- Traditional container: ~100-300ms +- WASM container: ~20-100ms +- Spin deployment: Spin claims <5ms cold start - **measure yours and report actual numbers** +- **Expected improvement: 2-5x faster (containers), potentially 20-60x faster (Spin if it meets claims)** + +**Deployment:** +- Traditional: Build → Push → Pull → Run (minutes) +- WASM containers: Build → Run (seconds) +- Spin: Build → Deploy (seconds, global edge) + +
+ +
+⚠️ Known Limitations & Troubleshooting + +**WASM/WASI Preview1 Limitations:** +- **No TCP/UDP sockets**: Cannot open network connections directly (wasi-sockets is Preview2) +- **No timezone database**: Limited system resource access → use `time.FixedZone` instead of `time.LoadLocation` +- **Restricted file I/O**: Only preopened directories are accessible +- **Single-threaded**: No goroutine parallelism across CPU cores +- **Smaller stdlib**: TinyGo implements a subset of Go's standard library +- **Workaround**: Use platforms like Spin that provide HTTP abstraction via WAGI + +**Expected Behavior:** +- **CLI mode** (`MODE=once`): Works reliably for both Docker and WASM via `ctr` +- **Server mode (Docker)**: Works via `net/http` +- **Server mode (WASM via `ctr`)**: Does NOT work → WASI Preview1 lacks TCP socket support +- **Server mode (Spin)**: Works via WAGI (CGI-style HTTP abstraction) +- **Memory stats**: N/A for WASM → different resource accounting model + +**Spin-Specific Issues:** + +**Issue: Spin build fails** +- **Solution**: Ensure TinyGo is installed or use Docker build command +- Check `spin.toml` syntax is correct +- Verify component name matches in all sections + +**Issue: Spin deploy fails** +- **Solution**: Ensure you're logged in: `spin login` +- Check internet connectivity +- Verify application name is unique + +**Issue: Application doesn't respond on Spin Cloud** +- **Solution**: Check route is set to `/...` in `spin.toml` +- Verify HTTP handler responds to GET requests +- Check Spin logs: `spin cloud logs ` + +**Issue: Build command in spin.toml fails** +- **Solution**: Test build command separately first +- For Windows, adjust Docker volume mounting syntax +- Consider using pre-built `main.wasm` and removing build command + +
+ +
+🚀 Real-World WASM Applications + +**Current Production Use:** + +1. **Cloudflare Workers** + - WASM-powered serverless functions + - Sub-millisecond cold starts + - Global edge deployment + +2. **Fastly Compute@Edge** + - WASM for edge computing + - Same code runs worldwide + - Instant scaling + +3. **Fermyon Spin (This Lab!)** + - WASM microservices framework + - Microsecond startup times + - Global edge via Fastly + - Production-ready platform + +4. **Shopify Functions** + - WASM-based customizations + - Safe merchant code execution + - No infrastructure management + +**Why Spin Matters for This Lab:** +- **Solves networking limitation**: Provides HTTP server via WAGI (no WASI sockets needed) +- **Same binary**: Uses the `main.wasm` you already built → no rebuild or code changes +- **Developer Experience**: Simple CLI, Git-based deployment workflow +- **Performance**: Sub-5ms cold starts globally (measure yours!) +- **Portability**: Same WASM runs on Spin Cloud, self-hosted Spin, or Kubernetes + SpinKube +- **Edge deployment**: Automatic global distribution via Fastly CDN + +
+ +
+🌐 Spin Platform Deep Dive + +**What is Spin?** +- Open-source framework for building WASM applications +- Created by Fermyon (founded by Deis co-founder) +- Built on WebAssembly Component Model +- Supports multiple languages (Rust, Go, JavaScript, Python) + +**Spin Architecture:** +``` +Your Code → TinyGo WASM → Spin Runtime → Wasm Runtime (Wasmtime) + ↓ + HTTP Trigger/Router + ↓ + Fastly Global Edge (Spin Cloud) +``` + +**Spin vs Traditional Serverless:** + +| Feature | AWS Lambda | Spin Cloud | +|---------|-----------|------------| +| **Cold Start** | 100-1000ms | <5ms | +| **Runtime** | Container | WASM | +| **Size Limit** | 250MB | ~50MB practical | +| **Languages** | Many | Rust, Go, JS, Python (WASM) | +| **Edge** | Regional | Global (Fastly) | +| **Billing** | Per 100ms | Per request | + +**Spin Benefits Over Docker WASM:** +- Built-in HTTP triggers and routing +- Automatic TLS certificates +- Environment variable management +- Built-in key-value storage +- SQLite support +- Redis integration +- Simple deployment workflow + +**When to Use Spin:** +- ✅ Serverless APIs and microservices +- ✅ Edge functions and middleware +- ✅ WebHooks and event handlers +- ✅ Static site APIs +- ❌ Long-running processes +- ❌ Large stateful applications +- ❌ Applications requiring extensive system access + +
diff --git a/labs/lab12/Dockerfile b/labs/lab12/Dockerfile new file mode 100644 index 00000000..a7bdf4b8 --- /dev/null +++ b/labs/lab12/Dockerfile @@ -0,0 +1,20 @@ +# Build stage +FROM golang:1.21-alpine AS builder + +WORKDIR /app +COPY main.go . + +# Build static binary (no CGO, for scratch base) +RUN CGO_ENABLED=0 GOOS=linux \ + go build -tags netgo -trimpath \ + -ldflags="-s -w -extldflags=-static" \ + -o moscow-time main.go + +# Run stage - minimal scratch image +FROM scratch + +WORKDIR /app +COPY --from=builder /app/moscow-time . + +EXPOSE 8080 +ENTRYPOINT ["/app/moscow-time"] \ No newline at end of file diff --git a/labs/lab12/Dockerfile.wasm b/labs/lab12/Dockerfile.wasm new file mode 100644 index 00000000..c3161fb1 --- /dev/null +++ b/labs/lab12/Dockerfile.wasm @@ -0,0 +1,4 @@ +FROM scratch +COPY main.wasm /main.wasm +EXPOSE 8080 +ENTRYPOINT ["/main.wasm"] \ No newline at end of file diff --git a/labs/lab12/main.go b/labs/lab12/main.go new file mode 100644 index 00000000..e870745d --- /dev/null +++ b/labs/lab12/main.go @@ -0,0 +1,116 @@ +package main + +import ( + "encoding/json" + "fmt" + "log" + "net/http" + "os" + "time" +) + +type TimeResponse struct { + MoscowTime string `json:"moscow_time"` + Timestamp int64 `json:"timestamp"` +} + +func getMoscowTime() TimeResponse { + msk := time.FixedZone("MSK", 3*60*60) // UTC+3 + t := time.Now().In(msk) + return TimeResponse{ + MoscowTime: t.Format("2006-01-02 15:04:05 MST"), + Timestamp: t.Unix(), + } +} + +const pageHTML = ` + + + Moscow Time + + + +
+

🕰️ Current Time in Moscow

+
Loading...
+

📊 View JSON API

+
+ + +` + +// ---- Spin (WAGI) adapter: same file, no Spin SDK needed ---- +func runWagiOnce() { + // Minimal CGI/WAGI response: print headers, blank line, body. + path := os.Getenv("PATH_INFO") + switch path { + case "", "/": + fmt.Println("Content-Type: text/html; charset=utf-8") + fmt.Println() + fmt.Print(pageHTML) + case "/api/time": + fmt.Println("Content-Type: application/json") + fmt.Println() + _ = json.NewEncoder(os.Stdout).Encode(getMoscowTime()) + default: + fmt.Println("Status: 404 Not Found") + fmt.Println("Content-Type: text/plain; charset=utf-8") + fmt.Println() + fmt.Println("not found") + } +} + +func isWagi() bool { + // WAGI/CGI style envs are set by Spin’s WAGI executor. + // REQUEST_METHOD is required; PATH_INFO is typically present. + return os.Getenv("REQUEST_METHOD") != "" +} + +// ---- net/http server handlers (traditional Docker) ---- +func homeHandler(w http.ResponseWriter, r *http.Request) { + w.Header().Set("Content-Type", "text/html; charset=utf-8") + fmt.Fprint(w, pageHTML) +} +func timeAPIHandler(w http.ResponseWriter, r *http.Request) { + w.Header().Set("Content-Type", "application/json") + _ = json.NewEncoder(w).Encode(getMoscowTime()) +} + +func main() { + // CLI benchmark mode (both Docker & WASM containers) + if os.Getenv("MODE") == "once" { + b, _ := json.MarshalIndent(getMoscowTime(), "", " ") + fmt.Println(string(b)) + return + } + + // Spin WAGI mode: handle a single HTTP request and exit. + if isWagi() { + runWagiOnce() + return + } + + // Traditional net/http server (Docker native) + http.HandleFunc("/", homeHandler) + http.HandleFunc("/api/time", timeAPIHandler) + port := ":8080" + log.Printf("Server starting on %s\n", port) + log.Fatal(http.ListenAndServe(port, nil)) +} diff --git a/labs/lab12/spin.toml b/labs/lab12/spin.toml new file mode 100644 index 00000000..0b70036f --- /dev/null +++ b/labs/lab12/spin.toml @@ -0,0 +1,14 @@ +spin_manifest_version = 2 + +[application] +name = "moscow-time" +version = "1.0.0" +description = "Same main.go everywhere" + +[[trigger.http]] +route = "/..." +component = "moscow-time" +executor = { type = "wagi" } # <— key line: use WAGI executor + +[component.moscow-time] +source = "main.wasm" diff --git a/labs/lab2.md b/labs/lab2.md index 55af3b35..568de2c6 100644 --- a/labs/lab2.md +++ b/labs/lab2.md @@ -12,7 +12,7 @@ ## Overview In this lab you will practice: -- Inspecting Git’s object model with `git cat-file`. +- Inspecting Git's object model with `git cat-file`. - Recovering work with `git reset` and `git reflog` safely. - Visualizing history and branches with `git log --graph`. - Tagging commits for releases. @@ -39,6 +39,22 @@ In this lab you will practice: #### 1.2: Inspect Git Objects +
+🔍 How to find object hashes + +```sh +# Get commit hash +git log --oneline -1 + +# Get tree hash from commit +git cat-file -p HEAD + +# Get blob hash from tree +git cat-file -p +``` + +
+ 1. **Examine Git Objects:** ```sh @@ -92,82 +108,103 @@ In `labs/submission2.md`, document: ### Task 3 — Visualize Commit History (2 pts) -**Objective**: Use Git’s log graph to see branching and merges. +**Objective:** Use Git's log graph to see branching and merges. -1. Create a short-lived branch, commit, then view the graph: +1. **Create a short-lived branch, commit, then view the graph:** - ```sh - git switch -c side-branch - echo "Branch commit" >> history.txt - git add history.txt && git commit -m "Side branch commit" - git switch - - git log --oneline --graph --all - ``` + ```sh + git switch -c side-branch + echo "Branch commit" >> history.txt + git add history.txt && git commit -m "Side branch commit" + git switch - + git log --oneline --graph --all + ``` -2. In `labs/submission2.md`, include: -- A snippet/screenshot of the graph. -- Commit messages list. +In `labs/submission2.md`, document: +- A snippet/screenshot of the graph. +- Commit messages list. - A 1–2 sentence reflection on how the graph aids understanding. --- ### Task 4 — Tagging Commits (1 pt) -**Objective**: Create and push lightweight tags to mark releases. +**Objective:** Create and push lightweight tags to mark releases. -1. Tag the latest commit and push: +1. **Tag the latest commit and push:** - ```sh - git tag v1.0.0 - git push origin v1.0.0 - ``` + ```sh + git tag v1.0.0 + git push origin v1.0.0 + ``` 2. Optionally make one more commit and tag `v1.1.0`. -3. In `labs/submission2.md`, include tag names, commands used, and associated commit hashes, plus a short note on why tags matter (versioning, CI/CD triggers, release notes). +In `labs/submission2.md`, document: +- Tag names and commands used. +- Associated commit hashes. +- A short note on why tags matter (versioning, CI/CD triggers, release notes). --- ### Task 5 — git switch vs git checkout vs git restore (2 pts) -**Objective**: Learn modern Git commands and when to use each. +**Objective:** Learn modern Git commands and when to use each. + +
+🔄 Option A: git switch (Modern - Recommended) + +```sh +git switch -c cmd-compare # create and switch +git switch - # toggle back to previous branch +``` + +**Purpose:** Branch switching only (clear and focused) + +
-1. Branch switching with `git switch` (preferred): +
+🔄 Option B: git checkout (Legacy - Overloaded) - ```sh - git switch -c cmd-compare # create and switch - git switch - # toggle back to previous branch - ``` +```sh +git checkout -b cmd-compare-2 # also creates + switches branches +# Note: `git checkout -- ` used to restore files (confusing!). +``` -2. Compare with legacy `git checkout` (overloaded): +**Problem:** Does too many things - branches AND files - ```sh - git checkout -b cmd-compare-2 # also creates + switches branches - # Note: `git checkout -- ` used to restore files (confusing!). - ``` +
-3. Restoring files with `git restore` (modern and explicit): +
+📂 git restore (Modern - File Operations) - ```sh - echo "scratch" >> demo.txt - git restore demo.txt # discard working tree changes - git restore --staged demo.txt # unstage (keep working tree) - git restore --source=HEAD~1 demo.txt # restore from another commit - ``` +```sh +echo "scratch" >> demo.txt +git restore demo.txt # discard working tree changes +git restore --staged demo.txt # unstage (keep working tree) +git restore --source=HEAD~1 demo.txt # restore from another commit +``` -4. Summarize differences in `labs/submission2.md`. +**Purpose:** File restoration only (clear and focused) -Include the commands you ran, `git status`/`git branch` outputs, and 2–3 sentences on when to use each. +
+ +In `labs/submission2.md`, document: +- Commands you ran and their outputs. +- `git status`/`git branch` outputs showing state changes. +- 2–3 sentences on when to use each command. --- ### Bonus — GitHub Social Interactions (optional) -**Objective**: Explore GitHub’s social features and how they support collaboration. +**Objective:** Explore GitHub's social features and how they support collaboration. -1. Star the course repository. -2. Follow your professor, TAs, and at least 3 classmates. -3. In `labs/submission2.md`, add 1–2 sentences on why stars/follows matter in open source and team projects. +1. Star the course repository. +2. Follow your professor, TAs, and at least 3 classmates. + +In `labs/submission2.md`, document: +- 1–2 sentences on why stars/follows matter in open source and team projects. --- @@ -175,24 +212,25 @@ Include the commands you ran, `git status`/`git branch` outputs, and 2–3 sente 1. Create a branch for this lab and push it: - ```bash - git switch -c feature/lab2 - # add labs/submission2.md with your findings - git add labs/submission2.md - git commit -m "docs: add lab2 submission" - git push -u origin feature/lab2 - ``` + ```bash + git switch -c feature/lab2 + # add labs/submission2.md with your findings + git add labs/submission2.md + git commit -m "docs: add lab2 submission" + git push -u origin feature/lab2 + ``` + +2. Open a PR from your fork's `feature/lab2` branch → **course repository's main branch**. -2. Open a PR from your fork's `feature/lab2` branch → **course repository's main branch**. 3. In the PR description, include: - ```text - - [x] Task 1 done - - [x] Task 2 done - - [x] Task 3 done - - [x] Task 4 done - - [x] Task 5 done - ``` + ```text + - [x] Task 1 done + - [x] Task 2 done + - [x] Task 3 done + - [x] Task 4 done + - [x] Task 5 done + ``` 4. **Copy the PR URL** and submit it via **Moodle before the deadline**. @@ -218,12 +256,6 @@ Include the commands you ran, `git status`/`git branch` outputs, and 2–3 sente | Task 4 — Tagging commits | **1**| | Task 5 — switch vs checkout vs restore | **2**| | **Total** | **10**| ---- - -## References - -- https://git-scm.com/doc -- https://git-scm.com/book/en/v2 --- @@ -234,9 +266,19 @@ Include the commands you ran, `git status`/`git branch` outputs, and 2–3 sente - Use clear commit messages and keep screenshots/snippets concise. - Organize files under `labs/` and name them predictably. -> **Git Command Notes** -> 1. Prefer `git switch`/`git restore` over legacy `git checkout` for clarity. -> 2. Always check `git status` after reset operations to understand the state. -> 3. Use `git reflog` for recovery when commits seem lost. +
+📚 References + +- [Git Documentation](https://git-scm.com/doc) +- [Pro Git Book](https://git-scm.com/book/en/v2) + +
+ +
+💡 Git Command Tips + +1. Prefer `git switch`/`git restore` over legacy `git checkout` for clarity. +2. Always check `git status` after reset operations to understand the state. +3. Use `git reflog` for recovery when commits seem lost. -> Note: Actively explore and document your findings to gain hands-on experience with Git. +
\ No newline at end of file diff --git a/labs/lab3.md b/labs/lab3.md index 220ba8c8..6e453f5c 100644 --- a/labs/lab3.md +++ b/labs/lab3.md @@ -22,7 +22,7 @@ In this lab you will practice: ## Tasks -### Task 1 — First GitHub Actions Workflow (4 pts) +### Task 1 — First GitHub Actions Workflow (6 pts) **Objective:** Set up a basic workflow that runs on push and prints basic info. @@ -56,8 +56,14 @@ In `labs/submission3.md`, document: 1. **Extend Workflow with Manual Trigger:** - - Extend your existing GitHub Actions workflow to include a [manual trigger](https://docs.github.com/en/actions/using-workflows/triggering-a-workflow#defining-inputs-for-manually-triggered-workflows). - - Inputs for manually triggered workflows are not needed, so you can skip them. +
+ 📚 Where to find manual trigger documentation + + - [Triggering a workflow - GitHub Docs](https://docs.github.com/en/actions/using-workflows/triggering-a-workflow#defining-inputs-for-manually-triggered-workflows) + - Look for `workflow_dispatch` event in the documentation + - Inputs for manually triggered workflows are not needed, so you can skip them + +
#### 2.2: Test Manual Dispatch @@ -80,16 +86,6 @@ In `labs/submission3.md`, document: --- -## Acceptance Criteria - -- ✅ Branch `feature/lab3` exists with commits for each task. -- ✅ File `labs/submission3.md` contains required outputs and analysis for Tasks 1-2. -- ✅ Workflow runs successfully on `push` and via `workflow_dispatch`. -- ✅ PR from `feature/lab3` → **course repo main branch** is open. -- ✅ PR link submitted via Moodle before the deadline. - ---- - ## How to Submit 1. Create a branch for this lab and push it to your fork: @@ -115,6 +111,16 @@ In `labs/submission3.md`, document: --- +## Acceptance Criteria + +- ✅ Branch `feature/lab3` exists with commits for each task. +- ✅ File `labs/submission3.md` contains required outputs and analysis for Tasks 1-2. +- ✅ Workflow runs successfully on `push` and via `workflow_dispatch`. +- ✅ PR from `feature/lab3` → **course repo main branch** is open. +- ✅ PR link submitted via Moodle before the deadline. + +--- + ## Rubric (10 pts) | Criterion | Points | @@ -132,7 +138,21 @@ In `labs/submission3.md`, document: - Document workflow setup process and system information gathering. - Include links to successful workflow runs or screenshots as evidence. -> **GitHub Actions Notes** -> 1. Ensure workflow files are placed in `.github/workflows/` directory. -> 2. Verify workflow syntax using GitHub's built-in validator. -> 3. Monitor workflow runs in the Actions tab for debugging. +
+📚 Helpful Resources + +- [GitHub Actions Documentation](https://docs.github.com/en/actions) +- [Workflow Syntax Reference](https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions) +- [Understanding GitHub Actions](https://docs.github.com/en/actions/learn-github-actions/understanding-github-actions) + +
+ +
+💡 GitHub Actions Tips + +1. Ensure workflow files are placed in `.github/workflows/` directory. +2. Verify workflow syntax using GitHub's built-in validator. +3. Monitor workflow runs in the Actions tab for debugging. +4. Check the Actions tab immediately after pushing to see if the workflow triggered. + +
\ No newline at end of file diff --git a/labs/lab4.md b/labs/lab4.md index b80a5700..3aa44395 100644 --- a/labs/lab4.md +++ b/labs/lab4.md @@ -1,4 +1,3 @@ - # Lab 4 — Operating Systems & Networking ![difficulty](https://img.shields.io/badge/difficulty-beginner-success) @@ -111,6 +110,16 @@ In `labs/submission4.md`, document: sudo timeout 10 tcpdump -c 5 -i any 'port 53' -nn ``` +
+ 🔍 Understanding tcpdump flags + + - `-c 5`: Capture 5 packets + - `-i any`: Listen on all interfaces + - `port 53`: Filter for DNS traffic + - `-nn`: Don't resolve hostnames/ports (faster) + +
+ #### 2.3: Reverse DNS 1. **Perform PTR Lookups:** @@ -129,16 +138,6 @@ In `labs/submission4.md`, document: --- -## Acceptance Criteria - -- ✅ Branch `feature/lab4` exists with commits for each task. -- ✅ File `labs/submission4.md` contains required outputs and analysis for Tasks 1-2. -- ✅ All sensitive information (IPs, process names) is properly sanitized in documentation. -- ✅ PR from `feature/lab4` → **course repo main branch** is open. -- ✅ PR link submitted via Moodle before the deadline. - ---- - ## How to Submit 1. Create a branch for this lab and push it to your fork: @@ -164,6 +163,16 @@ In `labs/submission4.md`, document: --- +## Acceptance Criteria + +- ✅ Branch `feature/lab4` exists with commits for each task. +- ✅ File `labs/submission4.md` contains required outputs and analysis for Tasks 1-2. +- ✅ All sensitive information (IPs, process names) is properly sanitized in documentation. +- ✅ PR from `feature/lab4` → **course repo main branch** is open. +- ✅ PR link submitted via Moodle before the deadline. + +--- + ## Rubric (10 pts) | Criterion | Points | @@ -181,6 +190,20 @@ In `labs/submission4.md`, document: - For packet capture, document at least one DNS query example. - Sanitize sensitive information: replace last octet of IPs with XXX, avoid sensitive process names. -> **Security Notes** -> 1. Sanitize IPs in packet capture outputs (replace last octet with XXX). -> 2. Avoid including sensitive process names in documentation. +
+🔒 Security Best Practices + +1. Sanitize IPs in packet capture outputs (replace last octet with XXX). +2. Avoid including sensitive process names in documentation. +3. Do not expose internal network topology details publicly. + +
+ +
+📚 Helpful Resources + +- [systemd-analyze man page](https://www.freedesktop.org/software/systemd/man/systemd-analyze.html) +- [tcpdump tutorial](https://danielmiessler.com/study/tcpdump/) +- [dig command examples](https://linux.die.net/man/1/dig) + +
\ No newline at end of file diff --git a/labs/lab5.md b/labs/lab5.md index aac0efe7..0435c3fc 100644 --- a/labs/lab5.md +++ b/labs/lab5.md @@ -44,6 +44,8 @@ In `labs/submission5.md`, document: - VirtualBox version number - Any installation issues encountered +--- + ### Task 2 — Ubuntu VM and System Analysis (5 pts) **Objective:** Deploy Ubuntu 24.04 LTS in VirtualBox and discover tools to analyze system information. @@ -71,6 +73,17 @@ In `labs/submission5.md`, document: - **Operating System**: Ubuntu version, kernel information - **Virtualization Detection**: Confirmation system is running in a VM +
+ 💡 Where to start your research + + - Check `/proc` filesystem for hardware information + - Explore standard Linux system commands + - Look for commands starting with `ls`, `ip`, `df`, `free`, `uname` + - Search for tools that can detect virtualization + - Use `man` pages and `--help` flags to understand commands + +
+ In `labs/submission5.md`, document: - VM configuration specifications used (RAM, storage, CPU cores) - For each information type above: @@ -81,18 +94,6 @@ In `labs/submission5.md`, document: --- -## Acceptance Criteria - -- ✅ Branch `feature/lab5` exists with commits for each task. -- ✅ File `labs/submission5.md` contains required outputs and analysis for Tasks 1-2. -- ✅ VirtualBox is successfully installed and verified. -- ✅ Ubuntu 24.04 LTS VM is deployed and documented. -- ✅ System analysis shows comprehensive hardware and OS information. -- ✅ PR from `feature/lab5` → **course repo main branch** is open. -- ✅ PR link submitted via Moodle before the deadline. - ---- - ## How to Submit 1. Create a branch for this lab and push it to your fork: @@ -118,6 +119,18 @@ In `labs/submission5.md`, document: --- +## Acceptance Criteria + +- ✅ Branch `feature/lab5` exists with commits for each task. +- ✅ File `labs/submission5.md` contains required outputs and analysis for Tasks 1-2. +- ✅ VirtualBox is successfully installed and verified. +- ✅ Ubuntu 24.04 LTS VM is deployed and documented. +- ✅ System analysis shows comprehensive hardware and OS information. +- ✅ PR from `feature/lab5` → **course repo main branch** is open. +- ✅ PR link submitted via Moodle before the deadline. + +--- + ## Rubric (10 pts) | Criterion | Points | @@ -134,289 +147,31 @@ In `labs/submission5.md`, document: - Include complete command outputs with proper formatting. - Document your tool discovery process and reasoning. -> **Installation Notes** -> 1. Download software only from official websites. -> 2. Use default installation settings unless you have specific requirements. -> 3. Ensure your host system has sufficient resources before creating VMs. - -> **Tool Discovery Tips** -> 1. Start with built-in Linux commands before installing additional packages. -> 2. Use package managers (apt) to search for system information tools. -> 3. Test multiple tools and compare their outputs. -> 4. Document which tools provide the most useful information. - - ---- - -## 🧪 **Hands-On Lab: WASM Container vs Regular Container** - -### 🎯 **Lab Objective**: Build a Moscow Time Web App and Compare WASM vs Regular Containers - -**📋 What You'll Learn:** -- 🐍 Create a Python Flask web app -- 🌐 Convert Python app to WebAssembly -- 🐳 Run WASM containers with Docker -- 📊 Compare startup times and resource usage -- ⚡ Experience the WASM advantage - ---- - -### 📝 **Step 1: Create the Moscow Time Web App** - -**Create project structure:** -```bash -# Create project directory -mkdir moscow-time-app -cd moscow-time-app - -# Create Python files -touch app.py requirements.txt -``` - -**📄 app.py - Simple Flask app showing Moscow time:** -```python -from flask import Flask, jsonify -from datetime import datetime -import pytz - -app = Flask(__name__) - -@app.route('/') -def home(): - return ''' - - Moscow Time - -

🕰️ Current Time in Moscow

-

Get JSON API

- -
Loading...
- - - ''' - -@app.route('/api/time') -def get_moscow_time(): - moscow_tz = pytz.timezone('Europe/Moscow') - moscow_time = datetime.now(moscow_tz) - return jsonify({ - 'moscow_time': moscow_time.strftime('%Y-%m-%d %H:%M:%S %Z'), - 'timestamp': moscow_time.timestamp() - }) - -if __name__ == '__main__': - app.run(host='0.0.0.0', port=8080) -``` - -**📄 requirements.txt:** -``` -Flask==2.3.3 -pytz==2023.3 -``` - ---- - -### 🐳 **Step 2: Traditional Docker Container** - -**📄 Dockerfile (Traditional):** -```dockerfile -FROM python:3.11-slim - -WORKDIR /app -COPY requirements.txt . -RUN pip install --no-cache-dir -r requirements.txt +
+📚 Helpful Resources -COPY app.py . +- [VirtualBox Documentation](https://www.virtualbox.org/wiki/Documentation) +- [Ubuntu Server Guide](https://ubuntu.com/server/docs) +- [Linux Command Line Basics](https://ubuntu.com/tutorials/command-line-for-beginners) -EXPOSE 8080 -CMD ["python", "app.py"] -``` +
-**🔨 Build and run traditional container:** -```bash -# Build traditional container -docker build -t moscow-time-traditional . +
+💡 Installation Tips -# Run and measure startup time -time docker run --rm -p 8080:8080 moscow-time-traditional +1. Download software only from official websites. +2. Use default installation settings unless you have specific requirements. +3. Ensure your host system has sufficient resources before creating VMs. +4. Enable virtualization in BIOS/UEFI if VM performance is poor. -# Test in browser: http://localhost:8080 -``` +
---- - -### 🌐 **Step 3: WASM Container with Docker** - -**📄 Dockerfile.wasm:** -```dockerfile -# Use Python WASM base image -FROM --platform=wasi/wasm python:3.11-slim - -WORKDIR /app -COPY requirements.txt . -RUN pip install --no-cache-dir -r requirements.txt - -COPY app.py . - -EXPOSE 8080 -CMD ["python", "app.py"] -``` - -**🔨 Build and run WASM container:** -```bash -# Enable Docker WASM support (if not already enabled) -docker buildx create --use --name wasm-builder - -# Build WASM container -docker buildx build --platform wasi/wasm -t moscow-time-wasm -f Dockerfile.wasm . - -# Run WASM container and measure startup -time docker run --rm --runtime=io.containerd.wasmedge.v1 \ - --platform=wasi/wasm -p 8081:8080 moscow-time-wasm - -# Test in browser: http://localhost:8081 -``` - ---- - -### 📊 **Step 4: Performance Comparison** - -**⚡ Startup Time Benchmark:** -```bash -#!/bin/bash -# benchmark.sh - Compare startup times - -echo "🐳 Testing Traditional Container Startup..." -for i in {1..5}; do - echo "Run $i:" - time docker run --rm moscow-time-traditional python -c "print('Container started')" -done - -echo "🌐 Testing WASM Container Startup..." -for i in {1..5}; do - echo "Run $i:" - time docker run --rm --runtime=io.containerd.wasmedge.v1 \ - --platform=wasi/wasm moscow-time-wasm python -c "print('WASM started')" -done -``` - -**📏 Size Comparison:** -```bash -# Compare image sizes -docker images | grep moscow-time - -# Expected results: -# moscow-time-traditional ~150MB -# moscow-time-wasm ~50MB (66% smaller!) -``` - -**🧠 Memory Usage Comparison:** -```bash -# Monitor resource usage -docker stats - -# Run both containers simultaneously and compare: -# Traditional: ~50MB RAM -# WASM: ~20MB RAM (60% less!) -``` - ---- - -### 🔧 **Step 5: Advanced WASM Features** - -**🌐 Using WasmEdge Runtime directly:** -```bash -# Install WasmEdge -curl -sSf https://raw.githubusercontent.com/WasmEdge/WasmEdge/master/utils/install.sh | bash - -# Compile Python to WASM (advanced) -wasmedge --dir .:. python.wasm app.py -``` - -**🎯 Alternative: Use Spin Framework for WASM:** -```bash -# Install Spin -curl -fsSL https://developer.fermyon.com/downloads/install.sh | bash - -# Create Spin app -spin new http-py moscow-time-spin --accept-defaults -cd moscow-time-spin - -# Modify app.py with Moscow time logic -# Deploy locally -spin build -spin up -``` - ---- - -### 🎯 **Expected Results & Discussion** - -**📊 Performance Comparison Table:** - -| Metric | 🐳 Traditional Container | 🌐 WASM Container | 🚀 Improvement | -|--------|-------------------------|------------------|----------------| -| **Startup Time** | ~2-5 seconds | ~100-500ms | **5-10x faster** | -| **Image Size** | ~150MB | ~50MB | **66% smaller** | -| **Memory Usage** | ~50MB | ~20MB | **60% less** | -| **Security** | OS-level isolation | WASM sandbox | **Enhanced** | - -**🤔 Discussion Questions:** -1. **Why is the WASM container so much faster to start?** -2. **What are the trade-offs? What can't WASM do that containers can?** -3. **When would you choose WASM vs traditional containers?** -4. **How does this change your thinking about serverless functions?** - -**⚠️ Current Limitations:** -- 🔒 Limited system access (no direct file system, limited networking) -- 🐍 Not all Python packages work (no native extensions) -- 🧪 Still experimental ecosystem -- 🔧 Fewer debugging tools - -**🚀 Future Potential:** -- ⚡ Perfect for serverless functions -- 🌐 Ideal for edge computing -- 🔒 Enhanced security for multi-tenant applications -- 🌍 Universal deployment across platforms - ---- - -### 🎓 **Lab Challenges (Optional)** - -**🥉 Bronze Challenge**: Add more timezones (Tokyo, London, New York) - -**🥈 Silver Challenge**: Create a REST API that accepts timezone as parameter - -**🥇 Gold Challenge**: Build the same app in different languages (Go, Rust, JavaScript) and compare WASM performance - -**🏆 Platinum Challenge**: Deploy to a real edge computing platform (Fastly Compute@Edge, Cloudflare Workers) - ---- - -### 📚 **Additional Resources** -* [Docker WASM Documentation](https://docs.docker.com/desktop/wasm/) -* [WasmEdge Runtime](https://wasmedge.org/) -* [Fermyon Spin Framework](https://spin.fermyon.dev/) -* [Python to WASM Guide](https://github.com/wasmerio/python-ext-wasm) - ---- - -**💡 Pro Tip**: This lab demonstrates why WASM is revolutionizing serverless computing - imagine deploying thousands of these Moscow time functions that start in microseconds instead of seconds! - ---- +
+🔍 Tool Discovery Tips -**🎉 Congratulations! You've successfully:** -- ✅ Built a Python web application -- ✅ Containerized it traditionally and with WASM -- ✅ Compared performance metrics -- ✅ Experienced the future of lightweight virtualization +1. Start with built-in Linux commands before installing additional packages. +2. Use package managers (apt) to search for system information tools. +3. Test multiple tools and compare their outputs. +4. Document which tools provide the most useful information. -**🚀 Next Steps**: Try deploying this to a cloud platform that supports WASM containers and see the difference in cold start times for serverless functions! \ No newline at end of file +
\ No newline at end of file diff --git a/labs/lab6.md b/labs/lab6.md new file mode 100644 index 00000000..af90a7fa --- /dev/null +++ b/labs/lab6.md @@ -0,0 +1,358 @@ +# Lab 6 — Container Fundamentals with Docker + +![difficulty](https://img.shields.io/badge/difficulty-intermediate-yellow) +![topic](https://img.shields.io/badge/topic-Containers-blue) +![points](https://img.shields.io/badge/points-10-orange) + +> **Goal:** Master Docker fundamentals through hands-on container management, image operations, networking, and storage tasks. +> **Deliverable:** A PR from `feature/lab6` to the course repo with `labs/submission6.md` containing all task outputs and analysis. Submit the PR link via Moodle. + +--- + +## Overview + +In this lab you will practice: +- Managing **container lifecycle** and understanding image-container relationships. +- Creating **custom Docker images** and analyzing filesystem changes. +- Implementing **Docker networking** for container communication. +- Using **volumes** for data persistence across container lifecycles. + +These skills are essential for containerized application development and deployment in DevOps workflows. + +--- + +## Tasks + +### Task 1 — Container Lifecycle & Image Management (3 pts) + +**Objective:** Master container lifecycle operations and understand the relationship between images and containers. + +#### 1.1: Basic Container Operations + +1. **List Existing Containers:** + + ```sh + docker ps -a + ``` + +2. **Pull Ubuntu Image:** + + ```sh + docker pull ubuntu:latest + docker images ubuntu + ``` + +3. **Run Interactive Container:** + + ```sh + docker run -it --name ubuntu_container ubuntu:latest + ``` + + Inside the container, explore: + - Check OS version: `cat /etc/os-release` + - List processes: `ps aux` + - Exit with `exit` + +#### 1.2: Image Export and Dependency Analysis + +1. **Export the Image:** + + ```sh + docker save -o ubuntu_image.tar ubuntu:latest + ls -lh ubuntu_image.tar + ``` + +2. **Attempt Image Removal:** + + ```sh + docker rmi ubuntu:latest + ``` + +3. **Remove Container and Retry:** + + ```sh + docker rm ubuntu_container + docker rmi ubuntu:latest + ``` + +In `labs/submission6.md`, document: +- Output of `docker ps -a` and `docker images` +- Image size and layer count +- Tar file size comparison with image size +- Error message from the first removal attempt +- Analysis: Why does image removal fail when a container exists? Explain the dependency relationship. +- Explanation: What is included in the exported tar file? + +--- + +### Task 2 — Custom Image Creation & Analysis (3 pts) + +**Objective:** Create custom images from running containers and understand filesystem changes. + +#### 2.1: Deploy and Customize Nginx + +1. **Deploy Nginx Container:** + + ```sh + docker run -d -p 80:80 --name nginx_container nginx + curl http://localhost + ``` + +2. **Create Custom HTML:** + + Create a file named `index.html` with the following content: + + ```html + + + The best + + +

website

+ + + ``` + +3. **Copy Custom Content:** + + ```sh + docker cp index.html nginx_container:/usr/share/nginx/html/ + curl http://localhost + ``` + +#### 2.2: Create and Test Custom Image + +1. **Commit Container to Image:** + + ```sh + docker commit nginx_container my_website:latest + docker images my_website + ``` + +2. **Remove Original and Deploy from Custom Image:** + + ```sh + docker rm -f nginx_container + docker run -d -p 80:80 --name my_website_container my_website:latest + curl http://localhost + ``` + +3. **Analyze Filesystem Changes:** + + ```sh + docker diff my_website_container + ``` + +
+ 🔍 Understanding docker diff output + + - `A` = Added file or directory + - `C` = Changed file or directory + - `D` = Deleted file or directory + +
+ +In `labs/submission6.md`, document: +- Screenshot or output of original Nginx welcome page +- Custom HTML content and verification via curl +- Output of `docker diff my_website_container` +- Analysis: Explain the diff output (A=Added, C=Changed, D=Deleted) +- Reflection: What are the advantages and disadvantages of `docker commit` vs Dockerfile for image creation? + +--- + +### Task 3 — Container Networking & Service Discovery (2 pts) + +**Objective:** Explore Docker's built-in networking and DNS-based service discovery. + +#### 3.1: Create Custom Network + +1. **Create Bridge Network:** + + ```sh + docker network create lab_network + docker network ls + ``` + +2. **Deploy Connected Containers:** + + ```sh + docker run -dit --network lab_network --name container1 alpine ash + docker run -dit --network lab_network --name container2 alpine ash + ``` + +#### 3.2: Test Connectivity and DNS + +1. **Test Container-to-Container Communication:** + + ```sh + docker exec container1 ping -c 3 container2 + ``` + +2. **Inspect Network Details:** + + ```sh + docker network inspect lab_network + ``` + +3. **Check DNS Resolution:** + + ```sh + docker exec container1 nslookup container2 + ``` + +In `labs/submission6.md`, document: +- Output of ping command showing successful connectivity +- Network inspection output showing both containers' IP addresses +- DNS resolution output +- Analysis: How does Docker's internal DNS enable container-to-container communication by name? +- Comparison: What advantages does user-defined bridge networks provide over the default bridge network? + +--- + +### Task 4 — Data Persistence with Volumes (2 pts) + +**Objective:** Understand data persistence across container lifecycles using Docker volumes. + +#### 4.1: Create and Use Volume + +1. **Create Named Volume:** + + ```sh + docker volume create app_data + docker volume ls + ``` + +2. **Deploy Container with Volume:** + + ```sh + docker run -d -p 80:80 -v app_data:/usr/share/nginx/html --name web nginx + ``` + +3. **Add Custom Content:** + + Create a custom `index.html` file: + + ```html +

Persistent Data

+ ``` + + Copy to volume: + + ```sh + docker cp index.html web:/usr/share/nginx/html/ + curl http://localhost + ``` + +#### 4.2: Verify Persistence + +1. **Destroy and Recreate Container:** + + ```sh + docker stop web && docker rm web + docker run -d -p 80:80 -v app_data:/usr/share/nginx/html --name web_new nginx + curl http://localhost + ``` + +2. **Inspect Volume:** + + ```sh + docker volume inspect app_data + ``` + +In `labs/submission6.md`, document: +- Custom HTML content used +- Output of curl showing content persists after container recreation +- Volume inspection output showing mount point +- Analysis: Why is data persistence important in containerized applications? +- Comparison: Explain the differences between volumes, bind mounts, and container storage. When would you use each? + +--- + +## How to Submit + +1. Create a branch for this lab and work on your tasks: + + ```bash + git switch -c feature/lab6 + # Complete all tasks and document in labs/submission6.md + git add labs/submission6.md + git commit -m "docs: add lab6 submission" + git push -u origin feature/lab6 + ``` + +2. Open a PR from your fork's `feature/lab6` branch → **course repository's main branch**. + +3. In the PR description, include: + + ```text + - [x] Task 1 — Container Lifecycle & Image Management + - [x] Task 2 — Custom Image Creation & Analysis + - [x] Task 3 — Container Networking & Service Discovery + - [x] Task 4 — Data Persistence with Volumes + ``` + +4. **Copy the PR URL** and submit it via **Moodle before the deadline**. + +--- + +## Acceptance Criteria + +- ✅ Branch `feature/lab6` exists with commits for each task. +- ✅ File `labs/submission6.md` contains required outputs and analysis for Tasks 1-4. +- ✅ All Docker commands executed successfully with documented outputs. +- ✅ Analysis sections demonstrate understanding of Docker concepts. +- ✅ PR from `feature/lab6` → **course repo main branch** is open. +- ✅ PR link submitted via Moodle before the deadline. + +--- + +## Rubric (10 pts) + +| Criterion | Points | +| ---------------------------------------------------- | -----: | +| Task 1 — Container Lifecycle & Image Management | **3** | +| Task 2 — Custom Image Creation & Analysis | **3** | +| Task 3 — Container Networking & Service Discovery | **2** | +| Task 4 — Data Persistence with Volumes | **2** | +| **Total** | **10** | + +--- + +## Guidelines + +- Use clear Markdown headers to organize sections in `submission6.md`. +- Include both command outputs and written analysis for each task. +- Take screenshots where helpful for demonstrating successful execution. +- Focus on understanding Docker's architecture rather than just executing commands. +- Provide thoughtful analysis demonstrating conceptual understanding. + +
+📚 Helpful Resources + +- [Docker Documentation](https://docs.docker.com/) +- [Docker CLI Reference](https://docs.docker.com/engine/reference/commandline/cli/) +- [Docker Networking Overview](https://docs.docker.com/network/) +- [Docker Storage Overview](https://docs.docker.com/storage/) + +
+ +
+💡 Docker Best Practices + +1. Always clean up stopped containers and unused images to conserve disk space. +2. Use meaningful names for containers and images for easier management. +3. Understand the difference between ephemeral container storage and persistent volumes. +4. Use `docker logs` for debugging before attempting to enter containers. + +
+ +
+🔒 Security Notes + +1. Never expose containers on port 80 in production without proper security measures. +2. Use specific image tags instead of `latest` in production environments. +3. Regularly update base images to include security patches. +4. Be cautious with `docker commit` - Dockerfiles provide better traceability and reproducibility. + +
\ No newline at end of file diff --git a/labs/lab7.md b/labs/lab7.md new file mode 100644 index 00000000..49d2a63a --- /dev/null +++ b/labs/lab7.md @@ -0,0 +1,341 @@ +# Lab 7 — GitOps Fundamentals + +![difficulty](https://img.shields.io/badge/difficulty-intermediate-yellow) +![topic](https://img.shields.io/badge/topic-GitOps-blue) +![points](https://img.shields.io/badge/points-10-orange) + +> **Goal:** Understand core GitOps principles through simulated reconciliation loops and health monitoring using only Linux command-line tools. +> **Deliverable:** A PR from `feature/lab7` to the course repo with `labs/submission7.md` containing all task outputs and analysis. Submit the PR link via Moodle. + +--- + +## Overview + +In this lab you will practice: +- Managing **declarative configuration** using Git as the source of truth. +- Implementing **automated reconciliation loops** to detect and fix drift. +- Building **self-healing systems** that continuously sync desired state. +- Monitoring **state synchronization health** with checksums and logging. + +These simulations mirror how real GitOps tools (ArgoCD, Flux) work, helping you understand the fundamentals before using production tools. + +--- + +## Tasks + +### Task 1 — Git State Reconciliation (6 pts) + +**Objective:** Simulate how GitOps operators continuously synchronize cluster state with Git as the source of truth. + +#### 1.1: Initialize Git Repository and Desired State + +1. **Initialize Repository:** + + ```bash + mkdir gitops-lab && cd gitops-lab + git init + ``` + +2. **Create Desired State (Source of Truth):** + + ```bash + echo "version: 1.0" > desired-state.txt + echo "app: myapp" >> desired-state.txt + echo "replicas: 3" >> desired-state.txt + git add . && git commit -m "feat: initial desired state" + ``` + +3. **Simulate Current Cluster State:** + + ```bash + cp desired-state.txt current-state.txt + echo "Initial state synchronized" + ``` + +#### 1.2: Create Reconciliation Loop + +1. **Create Reconciliation Script:** + + Create a file named `reconcile.sh`: + + ```bash + #!/bin/bash + # reconcile.sh - GitOps reconciliation loop + + DESIRED=$(cat desired-state.txt) + CURRENT=$(cat current-state.txt) + + if [ "$DESIRED" != "$CURRENT" ]; then + echo "$(date) - ⚠️ DRIFT DETECTED!" + echo "Reconciling current state with desired state..." + cp desired-state.txt current-state.txt + echo "$(date) - ✅ Reconciliation complete" + else + echo "$(date) - ✅ States synchronized" + fi + ``` + +2. **Make Script Executable:** + + ```bash + chmod +x reconcile.sh + ``` + +#### 1.3: Test Manual Drift Detection + +1. **Simulate Manual Drift:** + + ```bash + echo "version: 2.0" > current-state.txt + echo "app: myapp" >> current-state.txt + echo "replicas: 5" >> current-state.txt + ``` + +2. **Run Reconciliation Manually:** + + ```bash + ./reconcile.sh + diff desired-state.txt current-state.txt + ``` + +3. **Verify Drift Was Fixed:** + + ```bash + cat current-state.txt + ``` + +#### 1.4: Automated Continuous Reconciliation + +1. **Start Continuous Reconciliation Loop:** + + ```bash + watch -n 5 ./reconcile.sh + ``` + +
+ 💡 Understanding watch command + + `watch -n 5` runs the command every 5 seconds, similar to how GitOps tools continuously sync state. + + Press `Ctrl+C` to stop the watch process. + +
+ +2. **In Another Terminal, Trigger Drift:** + + ```bash + cd gitops-lab + echo "replicas: 10" >> current-state.txt + ``` + +3. **Observe Auto-Healing:** + + Watch the reconciliation loop automatically detect and fix the drift within 5 seconds. + +In `labs/submission7.md`, document: +- Initial desired-state.txt and current-state.txt contents +- Screenshot or output of drift detection and reconciliation +- Output showing synchronized state after reconciliation +- Output from continuous reconciliation loop detecting auto-healing +- Analysis: Explain the GitOps reconciliation loop. How does this prevent configuration drift? +- Reflection: What advantages does declarative configuration have over imperative commands in production? + +--- + +### Task 2 — GitOps Health Monitoring (4 pts) + +**Objective:** Implement health checks for configuration synchronization and build proactive monitoring. + +#### 2.1: Create Health Check Script + +1. **Create Health Check Script:** + + Create a file named `healthcheck.sh`: + + ```bash + #!/bin/bash + # healthcheck.sh - Monitor GitOps sync health + + DESIRED_MD5=$(md5sum desired-state.txt | awk '{print $1}') + CURRENT_MD5=$(md5sum current-state.txt | awk '{print $1}') + + if [ "$DESIRED_MD5" != "$CURRENT_MD5" ]; then + echo "$(date) - ❌ CRITICAL: State mismatch detected!" | tee -a health.log + echo " Desired MD5: $DESIRED_MD5" | tee -a health.log + echo " Current MD5: $CURRENT_MD5" | tee -a health.log + else + echo "$(date) - ✅ OK: States synchronized" | tee -a health.log + fi + ``` + +2. **Make Script Executable:** + + ```bash + chmod +x healthcheck.sh + ``` + +#### 2.2: Test Health Monitoring + +1. **Test Healthy State:** + + ```bash + ./healthcheck.sh + cat health.log + ``` + +2. **Simulate Configuration Drift:** + + ```bash + echo "unapproved-change: true" >> current-state.txt + ``` + +3. **Run Health Check on Drifted State:** + + ```bash + ./healthcheck.sh + cat health.log + ``` + +4. **Fix Drift and Verify:** + + ```bash + ./reconcile.sh + ./healthcheck.sh + cat health.log + ``` + +#### 2.3: Continuous Health Monitoring + +1. **Create Combined Monitoring Script:** + + Create a file named `monitor.sh`: + + ```bash + #!/bin/bash + # monitor.sh - Combined reconciliation and health monitoring + + echo "Starting GitOps monitoring..." + for i in {1..10}; do + echo "\n--- Check #$i ---" + ./healthcheck.sh + ./reconcile.sh + sleep 3 + done + ``` + + ```bash + chmod +x monitor.sh + ``` + +2. **Run Monitoring Loop:** + + ```bash + ./monitor.sh + ``` + +3. **Review Complete Health Log:** + + ```bash + cat health.log + ``` + +In `labs/submission7.md`, document: +- Contents of healthcheck.sh script +- Output showing "OK" status when states match +- Output showing "CRITICAL" status when drift is detected +- Complete health.log file showing multiple checks +- Output from monitor.sh showing continuous monitoring +- Analysis: How do checksums (MD5) help detect configuration changes? +- Comparison: How does this relate to GitOps tools like ArgoCD's "Sync Status"? + +--- + +## How to Submit + +1. Create a branch for this lab and work on your tasks: + + ```bash + git switch -c feature/lab7 + # Complete all tasks, scripts in gitops-lab/, document in labs/submission7.md + git add labs/submission7.md + git commit -m "docs: add lab7 submission" + git push -u origin feature/lab7 + ``` + +2. Open a PR from your fork's `feature/lab7` branch → **course repository's main branch**. + +3. In the PR description, include: + + ```text + - [x] Task 1 — Git State Reconciliation + - [x] Task 2 — GitOps Health Monitoring + ``` + +4. **Copy the PR URL** and submit it via **Moodle before the deadline**. + +--- + +## Acceptance Criteria + +- ✅ Branch `feature/lab7` exists with commits for each task. +- ✅ File `labs/submission7.md` contains required outputs and analysis for Tasks 1-2. +- ✅ Scripts `reconcile.sh`, `healthcheck.sh`, and `monitor.sh` are functional. +- ✅ Health log demonstrates both healthy and drifted states. +- ✅ Analysis sections demonstrate understanding of GitOps principles. +- ✅ PR from `feature/lab7` → **course repo main branch** is open. +- ✅ PR link submitted via Moodle before the deadline. + +--- + +## Rubric (10 pts) + +| Criterion | Points | +| ---------------------------------------- | -----: | +| Task 1 — Git State Reconciliation | **6** | +| Task 2 — GitOps Health Monitoring | **4** | +| **Total** | **10** | + +--- + +## Guidelines + +- Use clear Markdown headers to organize sections in `submission7.md`. +- Include command outputs, script contents, and screenshots where helpful. +- Focus on understanding the reconciliation loop concept, not just running scripts. +- Provide thoughtful analysis connecting simulations to real GitOps tools. +- Document your observations during continuous monitoring. + +
+📚 GitOps Concepts + +| Task | GitOps Principle | Real-World Equivalent | +| ---- | -------------------------- | ------------------------------------- | +| 1 | Continuous Reconciliation | ArgoCD/Flux sync loops | +| 2 | Health Monitoring | Kubernetes operator status checks | + +**GitOps Philosophy:** +1. **Git as Single Source of Truth** - All configuration changes go through Git. +2. **Declarative Configuration** - Define the desired state, not the steps to get there. +3. **Automated Reconciliation** - Systems continuously sync to match Git state. +4. **Self-Healing** - Drift is automatically corrected without manual intervention. + +
+ +
+📚 Helpful Resources + +- [GitOps Principles](https://opengitops.dev/) +- [ArgoCD Documentation](https://argo-cd.readthedocs.io/) +- [Flux CD Documentation](https://fluxcd.io/docs/) + +
+ +
+💡 Tips + +1. These simulations mirror how real GitOps operators work - just at human speed instead of computer speed! +2. Understanding these fundamentals prepares you for tools like ArgoCD and Flux CD. +3. Use multiple terminals to see drift detection in real-time. +4. Keep your scripts simple and focus on understanding the concepts. + +
\ No newline at end of file diff --git a/labs/lab8.md b/labs/lab8.md new file mode 100644 index 00000000..9df09119 --- /dev/null +++ b/labs/lab8.md @@ -0,0 +1,248 @@ +# Lab 8 — Site Reliability Engineering (SRE) + +![difficulty](https://img.shields.io/badge/difficulty-intermediate-yellow) +![topic](https://img.shields.io/badge/topic-SRE-blue) +![points](https://img.shields.io/badge/points-10-orange) + +> **Goal:** Explore Site Reliability Engineering principles through system monitoring, performance analysis, and practical website monitoring setup. +> **Deliverable:** A PR from `feature/lab8` to the course repo with `labs/submission8.md` containing monitoring outputs, analysis, and Checkly setup documentation. Submit the PR link via Moodle. + +--- + +## Overview + +In this lab you will practice: +- Monitoring system resources (CPU, memory, I/O) and identifying resource bottlenecks. +- Managing disk space and identifying large files. +- Setting up real-time website monitoring with availability, content validation, and performance checks. +- Configuring alerting for proactive issue detection. + +These skills are essential for ensuring system reliability and maintaining SLAs in production environments. + +--- + +## Tasks + +### Task 1 — Key Metrics for SRE and System Analysis (4 pts) + +**Objective:** Monitor system resources and manage disk space. + +#### 1.1: Monitor System Resources + +1. **Install Monitoring Tools (if needed):** + + ```bash + sudo apt install htop sysstat -y + ``` + +2. **Monitor CPU, Memory, and I/O Usage:** + + ```bash + htop + iostat -x 1 5 + ``` + +
+ 🔍 Understanding iostat output + + - `%user`: CPU time in user space + - `%system`: CPU time in kernel space + - `%iowait`: CPU waiting for I/O operations + - `%idle`: CPU idle time + +
+ +3. **Identify Top Resource Consumers:** + + Find the top 3 most consuming applications for: + - **CPU usage** + - **Memory usage** + - **I/O usage** + +#### 1.2: Disk Space Management + +1. **Check Disk Usage:** + + ```bash + df -h + du -h /var | sort -rh | head -n 10 + ``` + +2. **Identify Largest Files:** + + ```bash + sudo find /var -type f -exec du -h {} + | sort -rh | head -n 3 + ``` + +In `labs/submission8.md`, document: +- Top 3 most consuming applications for CPU, memory, and I/O usage +- Command outputs showing resource consumption +- Top 3 largest files in the `/var` directory +- Analysis: What patterns do you observe in resource utilization? +- Reflection: How would you optimize resource usage based on your findings? + +--- + +### Task 2 — Practical Website Monitoring Setup (6 pts) + +**Objective:** Set up real-time monitoring for any website using Checkly with availability checks, content validation, interaction performance, and alerting. + +#### 2.1: Choose Your Website + +1. **Select Target Website:** + + Pick ANY public website you want to monitor (e.g., your favorite store, news site, or portfolio) + +#### 2.2: Create Checks in Checkly + +1. **Sign Up:** + + - Create a free account at [Checkly](https://checklyhq.com/) + +2. **Create API Check for Basic Availability:** + +
+ 💡 What to configure + + - **URL:** Your chosen website + - **Assertion:** Status code is 200 + - **Frequency:** Choose appropriate check interval + +
+ +3. **Create Browser Check for Content & Interactions:** + +
+ 💡 What to test + + Examples of what you can check: + - Is a specific text/element visible on the page? + - Does a button click work? + - How long does page load take? + - Can you fill out a form? + + Choose checks that make sense for your selected website. + +
+ +#### 2.3: Set Up Alerts + +1. **Configure Alert Rules:** + + Design alert rules of YOUR choice: + - What to alert on? (e.g., failed checks, slow latency, downtime) + - How to be notified? (email, Telegram, Slack, etc.) + - Set thresholds that make sense for your site + +#### 2.4: Capture Proof & Documentation + +1. **Run Checks Manually:** + + - Verify all checks work correctly + - Observe the monitoring dashboard + +2. **Take Screenshots:** + + Capture screenshots showing: + - Your browser check configuration + - A successful check result + - Your alert settings + - Dashboard overview + +In `labs/submission8.md`, document: +- Website URL you chose to monitor +- Screenshots of browser check configuration +- Screenshots of successful check results +- Screenshots of alert settings +- Analysis: Why did you choose these specific checks and thresholds? +- Reflection: How does this monitoring setup help maintain website reliability? + +--- + +## How to Submit + +1. Create a branch for this lab and push it to your fork: + + ```bash + git switch -c feature/lab8 + # create labs/submission8.md with your findings + git add labs/submission8.md + git commit -m "docs: add lab8 submission" + git push -u origin feature/lab8 + ``` + +2. Open a PR from your fork's `feature/lab8` branch → **course repository's main branch**. + +3. In the PR description, include: + + ```text + - [x] Task 1 — Key Metrics for SRE and System Analysis + - [x] Task 2 — Practical Website Monitoring Setup + ``` + +4. **Copy the PR URL** and submit it via **Moodle before the deadline**. + +--- + +## Acceptance Criteria + +- ✅ Branch `feature/lab8` exists with commits for each task. +- ✅ File `labs/submission8.md` contains required outputs and analysis for Tasks 1-2. +- ✅ System monitoring outputs show CPU, memory, and I/O analysis. +- ✅ Checkly monitoring is configured with screenshots as proof. +- ✅ PR from `feature/lab8` → **course repo main branch** is open. +- ✅ PR link submitted via Moodle before the deadline. + +--- + +## Rubric (10 pts) + +| Criterion | Points | +| ----------------------------------------------- | -----: | +| Task 1 — Key Metrics for SRE and System Analysis | **4** | +| Task 2 — Practical Website Monitoring Setup | **6** | +| **Total** | **10** | + +--- + +## Guidelines + +- Use proper Markdown formatting and structure for the documentation files. +- Organize the files within the lab folder using appropriate naming conventions. +- Include clear screenshots with annotations if helpful. +- Provide thoughtful analysis of your monitoring setup decisions. + +
+📚 Helpful Resources + +- [Checkly Documentation](https://www.checklyhq.com/docs/) +- [SRE Book - Google](https://sre.google/sre-book/table-of-contents/) +- [Monitoring Best Practices](https://sre.google/sre-book/monitoring-distributed-systems/) + +
+ +
+💡 SRE Tips + +1. Focus on metrics that matter - availability, latency, and error rates. +2. Set realistic alert thresholds to avoid alert fatigue. +3. Monitor user-facing functionality, not just server health. +4. Document your reasoning for chosen monitoring strategies. + +
+ +
+🔍 Monitoring Best Practices + +1. **The Four Golden Signals:** + - Latency: How long does it take? + - Traffic: How much demand? + - Errors: How many failures? + - Saturation: How full is the system? + +2. **Alert Design:** + - Alert on symptoms, not causes + - Make alerts actionable + - Avoid alert fatigue with proper thresholds + +
\ No newline at end of file diff --git a/labs/lab9.md b/labs/lab9.md new file mode 100644 index 00000000..12e1b875 --- /dev/null +++ b/labs/lab9.md @@ -0,0 +1,259 @@ +# Lab 9 — Introduction to DevSecOps Tools + +![difficulty](https://img.shields.io/badge/difficulty-intermediate-yellow) +![topic](https://img.shields.io/badge/topic-DevSecOps-blue) +![points](https://img.shields.io/badge/points-10-orange) + +> **Goal:** Explore fundamental DevSecOps practices by performing security scans on containers and web applications using industry-standard tools. +> **Deliverable:** A PR from `feature/lab9` to the course repo with `labs/submission9.md` containing scan results, analysis, and screenshots. Submit the PR link via Moodle. + +--- + +## Overview + +In this lab you will practice: +- Performing **web application scanning** using OWASP ZAP to identify common vulnerabilities. +- Conducting **container vulnerability scanning** with Trivy to detect OS/library security issues. +- Analyzing security scan results and understanding vulnerability types. +- Working with intentionally vulnerable applications in a safe, controlled environment. + +These skills are essential for integrating security into the DevOps pipeline and building secure applications. + +--- + +## Tasks + +### Task 1 — Web Application Scanning with OWASP ZAP (5 pts) + +**Objective:** Perform automated security scanning of a vulnerable web application using OWASP ZAP to identify common web vulnerabilities. + +**Why This Matters:** Web application scanning helps discover security flaws like XSS, SQL injection, and misconfigurations before attackers exploit them. ZAP is an industry-standard tool maintained by OWASP. + +#### 1.1: Start the Vulnerable Target Application + +1. **Deploy Juice Shop (Intentionally Vulnerable Application):** + + ```bash + docker run -d --name juice-shop -p 3000:3000 bkimminich/juice-shop + ``` + +2. **Verify It's Running:** + + Open your browser and navigate to `http://localhost:3000` + +#### 1.2: Scan with OWASP ZAP + +1. **Run ZAP Baseline Scan:** + +
+ 🐧 Linux Users - Network Configuration + + On Linux, Docker containers can't use `host.docker.internal`. Get your Docker bridge IP: + + ```bash + ip -f inet -o addr show docker0 | awk '{print $4}' | cut -d '/' -f 1 + ``` + + Then use that IP in the ZAP command below instead of `host.docker.internal`. + +
+ + ```bash + docker run --rm -u zap -v $(pwd):/zap/wrk:rw \ + -t ghcr.io/zaproxy/zaproxy:stable zap-baseline.py \ + -t http://host.docker.internal:3000 \ + -g gen.conf \ + -r zap-report.html + ``` + + > Mac/Windows users: Use `host.docker.internal` as shown above + +#### 1.3: Analyze Results + +1. **Open the Report:** + + - Find `zap-report.html` in your current directory + - Open it in a browser + +2. **Identify Vulnerabilities:** + + - Find at least 2 Medium risk vulnerabilities + - Check security headers status (which headers are present/missing?) + - Note the most interesting vulnerability found + +#### 1.4: Clean Up + + ```bash + docker stop juice-shop && docker rm juice-shop + ``` + +In `labs/submission9.md`, document: +- Number of Medium risk vulnerabilities found +- Description of the 2 most interesting vulnerabilities +- Security headers status (which are present/missing and why they matter) +- Screenshot of ZAP HTML report overview +- Analysis: What type of vulnerabilities are most common in web applications? + +--- + +### Task 2 — Container Vulnerability Scanning with Trivy (5 pts) + +**Objective:** Identify vulnerabilities in container images using Trivy, focusing on intentionally vulnerable images for educational purposes. + +**Why This Matters:** Container scanning detects OS/library vulnerabilities in images before deployment. Trivy is the industry's most comprehensive open-source scanner. + +#### 2.1: Scan Container Image + +1. **Run Trivy Scan:** + + ```bash + docker run --rm -v /var/run/docker.sock:/var/run/docker.sock \ + aquasec/trivy:latest image \ + --severity HIGH,CRITICAL \ + bkimminich/juice-shop + ``` + +
+ 🔍 Understanding Trivy flags + + - `--severity HIGH,CRITICAL`: Only show high and critical vulnerabilities + - `-v /var/run/docker.sock`: Allows Trivy to access Docker images on your host + - `image`: Scan a container image + +
+ +#### 2.2: Analyze Results + +1. **Identify Key Findings:** + + From the scan output, identify: + - Total number of CRITICAL vulnerabilities + - Total number of HIGH vulnerabilities + - At least 2 vulnerable package names + - The most common vulnerability type (CVE category) + +#### 2.3: Clean Up + + ```bash + docker rmi bkimminich/juice-shop + ``` + +In `labs/submission9.md`, document: +- Total count of CRITICAL and HIGH vulnerabilities +- List of 2 vulnerable packages with their CVE IDs +- Most common vulnerability type found +- Screenshot of Trivy terminal output showing critical findings +- Analysis: Why is container image scanning important before deploying to production? +- Reflection: How would you integrate these scans into a CI/CD pipeline? + +--- + +## How to Submit + +1. Create a branch for this lab and push it to your fork: + + ```bash + git switch -c feature/lab9 + # create labs/submission9.md with your findings + git add labs/submission9.md + git commit -m "docs: add lab9 submission" + git push -u origin feature/lab9 + ``` + +2. Open a PR from your fork's `feature/lab9` branch → **course repository's main branch**. + +3. In the PR description, include: + + ```text + - [x] Task 1 — Web Application Scanning with OWASP ZAP + - [x] Task 2 — Container Vulnerability Scanning with Trivy + ``` + +4. **Copy the PR URL** and submit it via **Moodle before the deadline**. + +--- + +## Acceptance Criteria + +- ✅ Branch `feature/lab9` exists with commits for each task. +- ✅ File `labs/submission9.md` contains required outputs and analysis for Tasks 1-2. +- ✅ ZAP scan completed with HTML report generated. +- ✅ Trivy scan completed with vulnerability counts documented. +- ✅ Screenshots included as evidence. +- ✅ PR from `feature/lab9` → **course repo main branch** is open. +- ✅ PR link submitted via Moodle before the deadline. + +--- + +## Rubric (10 pts) + +| Criterion | Points | +| ----------------------------------------------- | -----: | +| Task 1 — Web Application Scanning with OWASP ZAP | **5** | +| Task 2 — Container Vulnerability Scanning with Trivy | **5** | +| **Total** | **10** | + +--- + +## Guidelines + +- Use clear Markdown headers to organize sections in `submission9.md`. +- Include both scan outputs and written analysis for each task. +- Take clear screenshots showing key findings. +- Provide thoughtful analysis of vulnerability types and their impact. +- Follow responsible disclosure practices in documentation. + +
+📚 Helpful Resources + +- [OWASP ZAP Documentation](https://www.zaproxy.org/docs/) +- [Trivy Documentation](https://aquasecurity.github.io/trivy/) +- [OWASP Top 10](https://owasp.org/www-project-top-ten/) +- [Common Vulnerabilities and Exposures (CVE)](https://cve.mitre.org/) + +
+ +
+🔒 Security Best Practices + +1. **Scanning Ethics:** + - Only scan applications you own or have explicit permission to test + - All scans in this lab target intentionally vulnerable containers running locally + - Never run automated scanners against production systems without permission + +2. **Vulnerability Management:** + - Prioritize fixing CRITICAL and HIGH vulnerabilities first + - Understand the context of each vulnerability (exploitability, impact) + - Keep base images updated regularly + - Use minimal base images to reduce attack surface + +3. **CI/CD Integration:** + - Run security scans as part of your build pipeline + - Fail builds on CRITICAL vulnerabilities + - Generate reports for security team review + +
+ +
+💡 DevSecOps Tips + +1. Shift security left - scan early and often in the development cycle. +2. Automate security scanning to make it part of the workflow, not an afterthought. +3. Understand false positives - not all reported vulnerabilities are exploitable in your context. +4. Create a vulnerability remediation plan with priorities and timelines. +5. Use security scanning tools as learning opportunities to understand common vulnerabilities. + +
+ +
+🎯 Understanding Vulnerability Severity + +**CVSS Severity Ratings:** +- **CRITICAL (9.0-10.0):** Immediate action required, actively exploited +- **HIGH (7.0-8.9):** Should be fixed soon, high impact +- **MEDIUM (4.0-6.9):** Plan remediation, moderate impact +- **LOW (0.1-3.9):** Fix when convenient, minimal impact + +Consider both technical severity and business context when prioritizing fixes. + +
\ No newline at end of file diff --git a/lectures/lec6.md b/lectures/lec6.md new file mode 100644 index 00000000..35fb9286 --- /dev/null +++ b/lectures/lec6.md @@ -0,0 +1,1353 @@ +# 📌 Lecture 6 - Containers: Docker & Kubernetes + +## 📍 Slide 1 – 🐳 What are Containers? + +* 📦 **Container** = a lightweight, standalone, executable package that includes everything needed to run a piece of software (code, runtime, system tools, libraries, settings). +* 🧩 **Key Concept**: Containers package an application and its dependencies together, ensuring it runs consistently across different computing environments. +* 🏗️ **Isolation without full virtualization**: Containers share the host operating system kernel but run in isolated user spaces. +* ⚡ **Benefits**: Fast startup (milliseconds), minimal resource overhead, high density (hundreds of containers on one host). +* 🎯 **Simple Analogy**: Like shipping containers 📦 - standardized, stackable, portable; you don't care what's inside, just that it fits the standard. + +**Container Architecture Overview** +```mermaid +flowchart LR + subgraph "🖥️ Physical Host" + kernel["🧠 Linux Kernel
Shared by all containers"] + + subgraph "🐳 Container Runtime" + engine["⚙️ Container Engine
Docker/Podman/containerd"] + end + + subgraph "📦 Containers" + c1["📦 Container 1
App A + Libs
Isolated process"] + c2["📦 Container 2
App B + Libs
Isolated process"] + c3["📦 Container 3
App C + Libs
Isolated process"] + end + end + + kernel --> engine + engine --> c1 + engine --> c2 + engine --> c3 + + style kernel fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style engine fill:#fff4e6,stroke:#2c3e50,color:#2c3e50 + style c1 fill:#e8f8f5,stroke:#2c3e50,color:#2c3e50 + style c2 fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style c3 fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 +``` + +* 🔑 **Core Components**: + * 📸 **Image** = read-only template with application code and dependencies + * 📦 **Container** = running instance of an image + * 🗄️ **Registry** = storage and distribution system for images (Docker Hub, Quay.io, GHCR = GitHub Container Registry) +* 💡 **Real-World Impact**: Netflix runs hundreds of thousands of containers, Spotify deploys 10,000+ containers daily +* 🌍 **Industry Adoption**: 87% of organizations use containers in production (CNCF = Cloud Native Computing Foundation Survey 2024) + +🔗 **Resources:** +* [Docker: What is a Container?](https://www.docker.com/resources/what-container/) +* [CNCF Cloud Native Glossary - Container](https://glossary.cncf.io/container/) +* [Linux Containers (LXC) Overview](https://linuxcontainers.org/) + +--- + +## 📍 Slide 2 – 📜 History of Containers (1979 → 2024) + +* 🏛️ **1979 - The Beginning**: Unix V7 introduces `chroot` (change root) - isolates file system view for processes +* 📦 **2000 - FreeBSD Jails**: First "true" container technology with process and network isolation +* 🐧 **2001 - Linux VServer**: Partition resources on Linux, early resource isolation +* 📦 **2004 - Solaris Zones**: Oracle/Sun's enterprise container solution +* 🔧 **2006 - Process Containers**: Google creates cgroups (control groups) for Linux kernel +* 📦 **2008 - LXC (Linux Containers)**: First complete Linux container manager using cgroups + namespaces +* 🐳 **2013 - Docker Revolution**: Solomon Hykes releases Docker, makes containers accessible to everyone +* ☸️ **2014 - Kubernetes Born**: Google open-sources Kubernetes based on Borg/Omega experience +* 🎯 **2015 - OCI (Open Container Initiative)**: Industry standardizes container formats and runtimes +* 🚀 **2016-2024 - Cloud Native Era**: Containers become the standard for cloud deployments + +**Evolution Timeline** +```mermaid +flowchart LR + A["🏛️ 1979
Unix chroot"] --> B["📦 2000
FreeBSD Jails"] + B --> C["🐧 2008
LXC Linux Containers"] + C --> D["🐳 2013
Docker Released"] + D --> E["☸️ 2014
Kubernetes"] + E --> F["🌍 2015
OCI Standard"] + F --> G["🚀 2024
Cloud Native
Mainstream"] + + style A fill:#f9e79f,stroke:#2c3e50,color:#2c3e50 + style B fill:#aed6f1,stroke:#2c3e50,color:#2c3e50 + style C fill:#a9dfbf,stroke:#2c3e50,color:#2c3e50 + style D fill:#f5b7b1,stroke:#2c3e50,color:#2c3e50 + style E fill:#d7bde2,stroke:#2c3e50,color:#2c3e50 + style F fill:#aed6f1,stroke:#2c3e50,color:#2c3e50 + style G fill:#a9dfbf,stroke:#2c3e50,color:#2c3e50 +``` + +* 🎭 **Fun Historical Facts**: + * 💡 Docker was originally a PaaS (Platform as a Service) company called dotCloud; containers were their internal tool + * 🐳 The Docker whale logo carries shipping containers because of the shipping container analogy + * ☸️ "Kubernetes" (κυβερνήτης) is Greek for "helmsman" or "pilot" - hence the ship wheel logo + * 🏆 Google was running 2+ billion containers per week in 2014 (before Kubernetes public release) + * 📦 The first container in Docker Hub was "hello-world" (still exists today!) +* 🔄 **Key Paradigm Shifts**: + * **2000s**: Containers were complex, expert-only tools + * **2013-2015**: Docker made containers developer-friendly + * **2016-2020**: Kubernetes standardized orchestration + * **2020+**: Containers are now default for cloud-native applications + +🔗 **Resources:** +* [Docker History Timeline](https://www.docker.com/company/) +* [Kubernetes Origin Story](https://kubernetes.io/blog/2015/04/borg-predecessor-to-kubernetes/) +* [A Brief History of Containers](https://blog.aquasec.com/a-brief-history-of-containers-from-1970s-chroot-to-docker-2016) +* [OCI Announcement](https://www.opencontainers.org/about/overview/) + +--- + +## 📍 Slide 3 – 💡 Why Containers Matter in DevOps + +* ⚡ **Speed**: Applications start in milliseconds vs minutes for VMs (Virtual Machines) +* 🔄 **Consistency**: "Works on my machine" problem solved - same container runs everywhere +* 📦 **Portability**: Run the same container on laptop, data center, any cloud provider +* 🎯 **Efficiency**: 10-100x higher density than VMs, better resource utilization +* 🚀 **Scalability**: Spin up/down instances in seconds to handle traffic spikes +* 🧪 **Development Speed**: Developers can replicate production environments locally + +**Problems Containers Solve** +```mermaid +flowchart LR + subgraph "❌ Before Containers" + P1["🐛 Works on my machine
Environment inconsistency"] + P2["🐌 Slow deployments
Manual setup"] + P3["💰 Resource waste
Underutilized servers"] + P4["🔥 Dependency hell
Conflicting versions"] + end + + subgraph "✅ After Containers" + S1["🎯 Consistent everywhere
Package dependencies"] + S2["⚡ Deploy in seconds
Automated & repeatable"] + S3["📊 High density
100+ containers/host"] + S4["🧩 Isolated environments
No conflicts"] + end + + P1 --> S1 + P2 --> S2 + P3 --> S3 + P4 --> S4 + + style P1 fill:#fadbd8,stroke:#2c3e50,color:#2c3e50 + style P2 fill:#fadbd8,stroke:#2c3e50,color:#2c3e50 + style P3 fill:#fadbd8,stroke:#2c3e50,color:#2c3e50 + style P4 fill:#fadbd8,stroke:#2c3e50,color:#2c3e50 + style S1 fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style S2 fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style S3 fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style S4 fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +* 📊 **Real-World Impact Statistics**: + * ⚡ **Deployment Speed**: Netflix reduced deployment time from 45 minutes to under 60 seconds + * 💰 **Cost Savings**: Airbnb cut infrastructure costs by 40% after containerization + * 📈 **Scale**: Twitter runs 100,000+ containers across their infrastructure + * 🚀 **Developer Productivity**: GitHub reduced onboarding time from days to hours + * 🔄 **Release Frequency**: Companies deploying containers ship code 200x more frequently +* 🎯 **DevOps Workflow Benefits**: + * **🧪 Testing**: Identical environments for dev, staging, production + * **🔄 CI/CD (Continuous Integration/Continuous Deployment)**: Fast, repeatable builds + * **🌍 Multi-cloud**: Avoid vendor lock-in, run anywhere + * **🔧 Microservices**: Natural fit for distributed architectures + * **📦 Dependency Management**: Bundle everything needed, no host conflicts + +**Container-Driven DevOps Pipeline** +```mermaid +flowchart LR + Dev["👨‍💻 Developer"] --> Code["📝 Write Code
+ Dockerfile"] + Code --> Build["🏗️ Build Image
CI Pipeline"] + Build --> Test["🧪 Test Container
Automated tests"] + Test --> Registry["🗄️ Push to Registry
Docker Hub/GHCR"] + Registry --> Deploy["🚀 Deploy
Dev/Staging/Prod"] + Deploy --> Monitor["📊 Monitor
Logs & metrics"] + Monitor --> Dev + + style Dev fill:#e8f8f5,stroke:#2c3e50,color:#2c3e50 + style Code fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style Build fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style Test fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style Registry fill:#fdebd0,stroke:#2c3e50,color:#2c3e50 + style Deploy fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style Monitor fill:#fadbd8,stroke:#2c3e50,color:#2c3e50 +``` + +🔗 **Resources:** +* [Why Containers? (Red Hat)](https://www.redhat.com/en/topics/containers) +* [Container Benefits (AWS)](https://aws.amazon.com/containers/) +* [State of Container Adoption Report (Datadog)](https://www.datadoghq.com/container-report/) + +--- + +## 📍 Slide 4 – ⚖️ Containers vs Virtual Machines (VMs) + +* 🏗️ **Architecture Difference**: VMs virtualize hardware, containers virtualize the operating system +* ⚡ **Startup Time**: Containers = milliseconds, VMs = minutes +* 💾 **Size**: Container images = MBs (megabytes), VM images = GBs (gigabytes) +* 🧠 **Resource Overhead**: Containers ~1-5% overhead, VMs ~10-20% overhead +* 🔒 **Isolation Level**: VMs = stronger (separate kernels), Containers = good (shared kernel, namespace isolation) +* 🎯 **Best Use**: VMs for different OSes/strong isolation, Containers for microservices/scalability + +**Side-by-Side Comparison** +```mermaid +flowchart TD + subgraph "🖥️ Virtual Machine Architecture" + VM_Apps["📱 App A | 📱 App B | 📱 App C"] + VM_Guest["🖥️ Guest OS | 🖥️ Guest OS | 🖥️ Guest OS"] + VM_Hyper["⚙️ Hypervisor
ESXi, Hyper-V, KVM"] + VM_Host["💻 Host Operating System"] + VM_HW["🖥️ Physical Hardware"] + + VM_Apps --> VM_Guest + VM_Guest --> VM_Hyper + VM_Hyper --> VM_Host + VM_Host --> VM_HW + end + + subgraph "🐳 Container Architecture" + C_Apps["📱 App A | 📱 App B | 📱 App C"] + C_Runtime["🐳 Container Runtime
Docker, Podman, containerd"] + C_Host["💻 Host Operating System"] + C_HW["🖥️ Physical Hardware"] + + C_Apps --> C_Runtime + C_Runtime --> C_Host + C_Host --> C_HW + end + + style VM_Apps fill:#fdebd0,stroke:#2c3e50,color:#2c3e50 + style VM_Guest fill:#fadbd8,stroke:#2c3e50,color:#2c3e50 + style VM_Hyper fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style C_Apps fill:#fdebd0,stroke:#2c3e50,color:#2c3e50 + style C_Runtime fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +* 📊 **Performance Comparison Table**: + +| **Aspect** | **🐳 Containers** | **💻 Virtual Machines** | +|------------|------------------|------------------------| +| **Startup Time** | ⚡ 50-500ms | 🐌 1-5 minutes | +| **Disk Space** | 📦 10-200 MB | 💿 2-20 GB | +| **Memory Usage** | 💾 MBs per container | 💾 GBs per VM | +| **Performance** | 🚀 Near-native | 📉 5-20% overhead | +| **Density** | 📊 100+ per host | 📊 10-20 per host | +| **Boot Process** | ⚡ Process start | 🔄 Full OS boot | +| **Isolation** | 🧩 Process-level | 🔒 Hardware-level | +| **Portability** | 🌍 Highly portable | 🌐 Less portable | + +* 🎯 **When to Choose What**: + * **🐳 Choose Containers For**: + * 🔗 Microservices architectures + * ⚡ Rapid scaling requirements + * 🚀 CI/CD pipelines + * 🌍 Multi-cloud deployments + * 💰 Cost-sensitive workloads + * **💻 Choose VMs For**: + * 🖥️ Different OS requirements (Windows + Linux) + * 🔒 Strong security isolation needs + * 🏢 Legacy monolithic applications + * 🛡️ Compliance/regulatory requirements + * 🎮 Workloads needing specific kernels + +* 🔄 **Hybrid Approach - Best of Both Worlds**: + * 🏗️ **Containers on VMs**: Most common pattern - run containers inside VMs for additional isolation layer + * ☸️ **Kubernetes Nodes**: VMs running container orchestration platforms + * 🌐 **Cloud Providers**: AWS Fargate, Google Cloud Run use VMs to isolate customer containers + +**Hybrid Architecture Example** +```mermaid +flowchart LR + Cloud["☁️ Cloud Provider"] --> VM1["💻 VM 1
Kubernetes Node"] + Cloud --> VM2["💻 VM 2
Kubernetes Node"] + Cloud --> VM3["💻 VM 3
Kubernetes Node"] + + VM1 --> C1["🐳 Container A"] + VM1 --> C2["🐳 Container B"] + VM2 --> C3["🐳 Container C"] + VM2 --> C4["🐳 Container D"] + VM3 --> C5["🐳 Container E"] + VM3 --> C6["🐳 Container F"] + + style Cloud fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style VM1 fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style VM2 fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style VM3 fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style C1 fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style C2 fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style C3 fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style C4 fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style C5 fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style C6 fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +🔗 **Resources:** +* [Containers vs VMs (Docker)](https://www.docker.com/resources/what-container/) +* [Understanding the Differences (Red Hat)](https://www.redhat.com/en/topics/containers/containers-vs-vms) +* [Container Performance Study (IBM Research)](https://domino.research.ibm.com/library/cyberdig.nsf/papers/0929052195DD819C85257D2300681E7B) + +--- + +## 📍 Slide 5 – 🧩 Container Components (Images, Layers, Registries) + +* 📸 **Container Image** = read-only template containing application code, runtime, libraries, dependencies, and configuration +* 📦 **Container** = running instance of an image (process with isolated namespace) +* 🗄️ **Registry** = centralized repository for storing and distributing container images +* 🎂 **Layers** = images are built from layers stacked on top of each other (copy-on-write filesystem) +* 🏷️ **Tags** = version labels for images (e.g., `nginx:1.25`, `nginx:latest`) + +**Container Image Anatomy** +```mermaid +flowchart LR + subgraph "📸 Container Image" + Base["🧱 Base Layer
Alpine Linux 3.18
5 MB"] + Runtime["⚙️ Runtime Layer
Python 3.11
50 MB"] + Deps["📦 Dependencies Layer
pip packages
100 MB"] + App["📱 Application Layer
Your code
10 MB"] + Config["⚙️ Config Layer
ENV vars, CMD
1 KB"] + end + + Base --> Runtime + Runtime --> Deps + Deps --> App + App --> Config + + Config --> Running["🚀 Running Container
Process with isolated
namespaces"] + + style Base fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style Runtime fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style Deps fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style App fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style Config fill:#fdebd0,stroke:#2c3e50,color:#2c3e50 + style Running fill:#a9dfbf,stroke:#2c3e50,color:#2c3e50 +``` + +* 🎂 **Layer System Explained**: + * 🧱 **Base Layer**: Usually minimal OS (Alpine, Ubuntu, scratch) + * ⚙️ **Intermediate Layers**: Runtime, system dependencies + * 📦 **Dependency Layers**: Application dependencies + * 📱 **Application Layer**: Your source code + * ⚙️ **Config Layer**: Metadata (ENV, CMD, ENTRYPOINT, EXPOSE) +* 💡 **Layer Benefits**: + * 🔄 **Reusability**: Shared layers across images save disk space + * ⚡ **Fast Builds**: Cached layers speed up rebuilds + * 📦 **Efficient Distribution**: Only changed layers transferred + * 💾 **Storage Optimization**: Copy-on-write filesystem + +**Image to Container Lifecycle** +```mermaid +flowchart LR + Dockerfile["📝 Dockerfile
Build instructions"] --> Build["🏗️ docker build"] + Build --> Image["📸 Image
myapp:1.0
Read-only"] + Image --> Registry["🗄️ Registry
Docker Hub
Quay.io
GHCR"] + Registry --> Pull["📥 docker pull"] + Pull --> Run["🚀 docker run"] + Run --> Container["📦 Container
Running process
Writable layer"] + + style Dockerfile fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style Build fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style Image fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style Registry fill:#fdebd0,stroke:#2c3e50,color:#2c3e50 + style Pull fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style Run fill:#a9dfbf,stroke:#2c3e50,color:#2c3e50 + style Container fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +* 🗄️ **Popular Container Registries**: + * 🐳 **Docker Hub**: Public and private images (hub.docker.com) + * 📦 **Quay.io**: Red Hat's registry with security scanning + * 🐙 **GHCR (GitHub Container Registry)**: Integrated with GitHub repos + * 🌐 **AWS ECR (Elastic Container Registry)**: Amazon's private registry + * ☁️ **Google Artifact Registry**: Google Cloud's unified repository + * 🔷 **Azure Container Registry**: Microsoft's registry service + +* 🏷️ **Image Naming Convention**: + * 📝 Format: `[registry/][namespace/]repository[:tag]` + * 🌐 Examples: + * `nginx` → Docker Hub official image + * `nginx:1.25` → Specific version + * `nginx:alpine` → Alpine Linux variant + * `ghcr.io/user/app:latest` → GitHub Container Registry + * `myregistry.com:5000/team/api:v2.1.0` → Private registry + +🔗 **Resources:** +* [Docker Image Specification](https://github.com/moby/moby/blob/master/image/spec/v1.2.md) +* [Docker Hub Registry](https://hub.docker.com/) +* [Understanding Container Images (Red Hat)](https://www.redhat.com/en/topics/containers/what-is-a-container-image) +* [Image Layer Visualization](https://github.com/wagoodman/dive) + +--- + +## 📍 Slide 6 – 🛠️ Container Engine Differences (Docker vs Podman vs containerd vs CRI-O) + +* 🐳 **Docker** = Complete platform with daemon, CLI, build tools, networking, orchestration (swarm) +* 🦭 **Podman** = Daemonless, rootless alternative to Docker; CLI-compatible, no central daemon +* ⚙️ **containerd** = Industry-standard container runtime, core component of Docker and Kubernetes +* 🎯 **CRI-O (Container Runtime Interface - Open Container Initiative)** = Lightweight runtime designed specifically for Kubernetes + +**Container Engine Ecosystem** +```mermaid +flowchart TD + subgraph "🐳 Docker Engine" + D_CLI["💻 Docker CLI"] --> D_Daemon["🔧 dockerd
Central daemon"] + D_Daemon --> D_containerd["⚙️ containerd"] + D_containerd --> D_runc["🏃 runc
OCI runtime"] + end + + subgraph "🦭 Podman" + P_CLI["💻 podman CLI"] --> P_Direct["⚡ Direct to
No daemon"] + P_Direct --> P_runc["🏃 runc/crun
OCI runtime"] + end + + subgraph "☸️ Kubernetes" + K_kubelet["🎯 kubelet"] --> K_CRI["🔌 CRI Plugin"] + K_CRI --> K_containerd["⚙️ containerd"] + K_CRI --> K_CRIO["🎯 CRI-O"] + K_containerd --> K_runc["🏃 runc"] + K_CRIO --> K_runc2["🏃 runc/crun"] + end + + style D_CLI fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style D_Daemon fill:#fdebd0,stroke:#2c3e50,color:#2c3e50 + style P_CLI fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style P_Direct fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style K_kubelet fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 +``` + +* 🔍 **Detailed Comparison**: + +| **Feature** | **🐳 Docker** | **🦭 Podman** | **⚙️ containerd** | **🎯 CRI-O** | +|-------------|--------------|---------------|------------------|--------------| +| **Architecture** | Client-server daemon | Daemonless | Core runtime | Kubernetes-focused | +| **Root Required** | ⚠️ Yes (by default) | ✅ No (rootless mode) | ⚠️ Depends | ✅ Rootless support | +| **Systemd Integration** | 🔧 Via daemon | ✅ Native systemd | 🔧 Via plugins | ✅ Native systemd | +| **Kubernetes Use** | 🔄 Via containerd | ✅ Direct CRI support | ✅ Native K8s runtime | ✅ Built for K8s | +| **Build Support** | ✅ docker build | ✅ podman build | ❌ Needs buildkit | ❌ External builder | +| **Docker Compose** | ✅ Native | ✅ podman-compose | ❌ No | ❌ No | +| **Swarm Mode** | ✅ Built-in | ❌ No (use K8s) | ❌ No | ❌ No | +| **OCI Compliant** | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes | +| **Registry** | 🐳 Docker Hub default | 🌐 Multiple defaults | 🌐 Configurable | 🌐 Configurable | + +* 🐳 **Docker Engine**: + * 🏢 **Market Leader**: Most widely adopted, extensive documentation + * 🔧 **Components**: dockerd (daemon), containerd (runtime), runc (OCI) + * 📦 **Extras**: Docker Compose, Docker Desktop, Docker Hub integration + * ⚠️ **Considerations**: Requires root/daemon, single point of failure + * 🎯 **Best For**: Development, legacy systems, comprehensive tooling + +* 🦭 **Podman (Pod Manager)**: + * 🔒 **Security First**: No daemon = smaller attack surface, rootless by default + * 🔄 **Docker Compatible**: Drop-in replacement (`alias docker=podman`) + * 🏗️ **Pod Support**: Native pod concept (group of containers), like Kubernetes + * 🧩 **Systemd Integration**: Generate systemd units for containers + * 🎯 **Best For**: Rootless containers, systemd integration, security-focused + +* ⚙️ **containerd**: + * 🧱 **Core Runtime**: Extracted from Docker, donated to CNCF + * ☸️ **K8s Standard**: Default runtime for Kubernetes 1.24+ + * 🔌 **CRI (Container Runtime Interface) Compatible**: Direct K8s integration + * 🎯 **Minimal**: No build tools, focused on runtime operations + * 🎯 **Best For**: Kubernetes clusters, production workloads, minimal overhead + +* 🎯 **CRI-O**: + * ☸️ **Kubernetes Native**: Built specifically for K8s, implements CRI spec + * 🪶 **Lightweight**: Minimal dependencies, fast startup + * 🔒 **Security Focused**: SELinux/AppArmor support, user namespaces + * 🎯 **OCI First**: Direct OCI implementation without legacy code + * 🎯 **Best For**: Production Kubernetes, OpenShift, security-critical workloads + +* 🔄 **Evolution & Industry Trends**: + * 📉 **Docker Deprecation in K8s**: Kubernetes removed dockershim in v1.24 (2022) + * 📈 **containerd Rise**: Now default for most managed Kubernetes services + * 🦭 **Podman Growth**: Adopted by Red Hat, Fedora, security-conscious orgs + * 🎯 **CRI-O Adoption**: Standard in OpenShift, growing in enterprise K8s + * 🌐 **OCI Standardization**: All engines converging on OCI specs + +🔗 **Resources:** +* [Docker Engine Overview](https://docs.docker.com/engine/) +* [Podman Documentation](https://docs.podman.io/) +* [containerd Website](https://containerd.io/) +* [CRI-O Documentation](https://cri-o.io/) +* [Don't Panic: Kubernetes and Docker](https://kubernetes.io/blog/2020/12/02/dont-panic-kubernetes-and-docker/) + +--- + +## 📍 Slide 7 – 🔍 OCI (Open Container Initiative) Standards + +* 📜 **OCI = Open Container Initiative** - Linux Foundation project to create open industry standards for container formats and runtimes +* 🎯 **Mission**: Ensure containers built with one tool can run with any OCI-compliant runtime +* 📦 **Founded**: June 2015 by Docker, CoreOS, Google, Microsoft, Red Hat, and others +* 🧩 **Three Core Specifications**: Image-spec, Runtime-spec, Distribution-spec +* ✅ **Compliance**: Prevents vendor lock-in, enables interoperability across container ecosystems + +**OCI Standards Architecture** +```mermaid +flowchart LR + subgraph "🏛️ OCI Standards" + Image["📦 Image Spec
How images are built
Layer format, manifest"] + Runtime["🏃 Runtime Spec
How to run containers
Config, lifecycle"] + Dist["🌐 Distribution Spec
How to share images
Registry API"] + end + + subgraph "🛠️ Implementations" + BuildTools["🔨 Build Tools
Docker, Buildah
Kaniko, img"] + Runtimes["⚙️ Runtimes
runc, crun
Kata, gVisor"] + Registries["🗄️ Registries
Docker Hub, Quay
GHCR, Harbor"] + end + + Image --> BuildTools + Runtime --> Runtimes + Dist --> Registries + + style Image fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style Runtime fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style Dist fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style BuildTools fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style Runtimes fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style Registries fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +* 📦 **Image Specification (image-spec)**: + * 🎂 **Layer Format**: How filesystem layers are stored and stacked + * 📋 **Manifest**: JSON document describing image contents + * ⚙️ **Configuration**: Image config (ENV, CMD, exposed ports) + * 🏷️ **Content Addressing**: Images identified by SHA-256 digest + * 📁 **Layout**: Directory structure for OCI image on disk + +* 🏃 **Runtime Specification (runtime-spec)**: + * 🗂️ **Filesystem Bundle**: Container root filesystem + config.json + * ⚙️ **Configuration**: Runtime parameters (process, mounts, namespaces) + * 🔄 **Lifecycle**: Operations (create, start, kill, delete) + * 🧩 **Hooks**: Prestart, poststart, poststop customization + * 🐧 **Platform-Specific**: Linux, Windows, Solaris support + +* 🌐 **Distribution Specification (distribution-spec)**: + * 🚀 **Registry API**: HTTP API for pushing/pulling images + * 📦 **Manifest Format**: How to describe multi-platform images + * 🔐 **Authentication**: Token-based auth for registries + * 🏷️ **Tag Operations**: Listing, deletion, manifest retrieval + * 🌍 **Content Discovery**: Finding and retrieving image layers + +* ✅ **OCI Compliance Benefits**: + * 🔄 **Interoperability**: Build with Docker, run with Podman or CRI-O + * 🚫 **No Vendor Lock-in**: Switch runtimes without rebuilding images + * 🛡️ **Security**: Standardized security model and audit surface + * 📈 **Innovation**: Multiple competing implementations improve ecosystem + * 🧪 **Testing**: Standard conformance tests ensure compatibility + +**OCI Ecosystem Flow** +```mermaid +flowchart LR + Dev["👨‍💻 Developer"] --> Build["🔨 Build Tool
Docker/Buildah"] + Build --> Image["📦 OCI Image
Standard format"] + Image --> Registry["🗄️ OCI Registry
Harbor/Quay"] + Registry --> Pull["📥 Pull Image"] + Pull --> Runtime["🏃 OCI Runtime
runc/crun"] + Runtime --> Container["📦 Running Container
Standard behavior"] + + style Dev fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style Build fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style Image fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style Registry fill:#fdebd0,stroke:#2c3e50,color:#2c3e50 + style Pull fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style Runtime fill:#a9dfbf,stroke:#2c3e50,color:#2c3e50 + style Container fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +* 🏛️ **Founding Members & Governance**: + * 🐳 Docker (contributed original container format) + * 🔴 Red Hat / CoreOS (contributed rkt container format) + * ☁️ Google (Kubernetes integration) + * 🪟 Microsoft (Windows container support) + * 🍎 AWS, Google Cloud, Azure (cloud provider backing) + * 🧱 Governance: Technical Oversight Board + maintainers + +🔗 **Resources:** +* [OCI Official Website](https://opencontainers.org/) +* [OCI Image Specification](https://github.com/opencontainers/image-spec) +* [OCI Runtime Specification](https://github.com/opencontainers/runtime-spec) +* [OCI Distribution Specification](https://github.com/opencontainers/distribution-spec) + +--- + +## 📍 Slide 8 – ⚙️ Container Runtime Internals (runc, crun, Kata Containers, gVisor) + +* 🏃 **Container Runtime** = low-level software that creates and runs containers according to OCI runtime specification +* 🧱 **runc** = reference implementation of OCI runtime spec, written in Go, used by Docker/containerd/CRI-O +* ⚡ **crun** = Fast, lightweight OCI runtime written in C, used by Podman and CRI-O +* 🛡️ **Kata Containers** = Secure runtime using lightweight VMs (Virtual Machines) for stronger isolation +* 🔒 **gVisor** = Google's sandboxed runtime using user-space kernel (defense in depth) + +**Runtime Stack Layers** +```mermaid +flowchart LR + subgraph "High-Level Tools" + Docker["🐳 Docker CLI"] + Podman["🦭 Podman CLI"] + Kubectl["☸️ kubectl"] + end + + subgraph "Container Engines" + dockerd["🔧 dockerd"] + containerd["⚙️ containerd"] + CRIO["🎯 CRI-O"] + end + + subgraph "OCI Runtimes" + runc["🏃 runc
Standard"] + crun["⚡ crun
Fast C impl"] + kata["🛡️ Kata
VM-based"] + gvisor["🔒 gVisor
Sandboxed"] + end + + subgraph "Kernel" + kernel["🐧 Linux Kernel
Namespaces, cgroups"] + end + + Docker --> dockerd + Podman --> containerd + Kubectl --> CRIO + + dockerd --> containerd + containerd --> runc + containerd --> kata + CRIO --> runc + CRIO --> crun + CRIO --> gvisor + + runc --> kernel + crun --> kernel + kata --> kernel + gvisor --> kernel + + style Docker fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style runc fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style crun fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style kata fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style gvisor fill:#fdebd0,stroke:#2c3e50,color:#2c3e50 +``` + +* 🏃 **runc - The Standard Runtime**: + * 📦 **Origin**: Extracted from Docker libcontainer, donated to OCI + * 🧬 **Written in**: Go language + * 🎯 **Features**: Full OCI spec implementation, battle-tested + * ⚡ **Performance**: Good balance of speed and features + * 🔧 **Usage**: Default for Docker, containerd, many Kubernetes clusters + * 📊 **Market Share**: ~80% of container runtimes + +* ⚡ **crun - The Fast Runtime**: + * ⚙️ **Written in**: C language (vs Go for runc) + * 🚀 **Speed**: 2x faster startup, 30% less memory than runc + * 🔒 **Security**: Smaller codebase = smaller attack surface + * 🧩 **Features**: Full OCI compliance, cgroups v2 support + * 🎯 **Adoption**: Default in Podman, optional in CRI-O + * 📊 **Benchmarks**: 50ms startup vs 100ms for runc + +* 🛡️ **Kata Containers - VM-Isolated Runtime**: + * 🖥️ **Architecture**: Each container runs in lightweight VM (Qemu/Firecracker) + * 🔒 **Isolation**: Hardware virtualization = stronger security boundary + * ⚖️ **Trade-off**: More overhead than runc (~125MB memory), but VM-level isolation + * 🎯 **Use Cases**: Multi-tenant environments, untrusted code, compliance + * ☸️ **K8s Integration**: RuntimeClass for mixed workloads + +**Kata Containers Architecture** +```mermaid +flowchart LR + subgraph "Host" + containerd["⚙️ containerd"] + kata_shim["🛡️ Kata Shim"] + end + + subgraph "Lightweight VM" + guest_kernel["🐧 Guest Kernel"] + kata_agent["📦 Kata Agent"] + container_app["📱 Container App
Isolated in VM"] + end + + containerd --> kata_shim + kata_shim --> guest_kernel + guest_kernel --> kata_agent + kata_agent --> container_app + + style containerd fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style kata_shim fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style guest_kernel fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style container_app fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +* 🔒 **gVisor - Sandboxed Runtime**: + * 🧱 **Architecture**: User-space kernel (Sentry) intercepts syscalls + * 🛡️ **Isolation**: Application doesn't directly access host kernel + * 📉 **Trade-off**: 10-15% performance overhead vs runc + * 🎯 **Use Cases**: Serverless platforms (Google Cloud Run), multi-tenant SaaS + * 🧪 **Compatibility**: ~70% syscall coverage (not all apps work) + +**gVisor Architecture** +```mermaid +flowchart LR + subgraph "Container Process" + app["📱 Application
Makes syscalls"] + end + + subgraph "gVisor Sandbox" + sentry["🛡️ Sentry
User-space kernel
Syscall handler"] + gofer["📁 Gofer
File proxy"] + end + + subgraph "Host" + host_kernel["🐧 Host Kernel
Limited access"] + end + + app --> sentry + sentry --> gofer + gofer --> host_kernel + sentry --> host_kernel + + style app fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style sentry fill:#fdebd0,stroke:#2c3e50,color:#2c3e50 + style gofer fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style host_kernel fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +* 📊 **Runtime Comparison Table**: + +| **Runtime** | **🏃 runc** | **⚡ crun** | **🛡️ Kata** | **🔒 gVisor** | +|-------------|------------|-----------|------------|-------------| +| **Language** | Go | C | Go/Rust | Go | +| **Startup** | 100ms | 50ms | 500ms | 150ms | +| **Memory** | 30MB | 20MB | 150MB | 40MB | +| **Performance** | Baseline | 102% | 70% | 85% | +| **Isolation** | Namespace | Namespace | VM | Syscall filter | +| **Security** | Good | Good | Excellent | Excellent | +| **Compatibility** | 100% | 100% | 95% | 70% | +| **Use Case** | General | Performance | Security | Sandboxing | + +🔗 **Resources:** +* [runc GitHub](https://github.com/opencontainers/runc) +* [crun GitHub](https://github.com/containers/crun) +* [Kata Containers](https://katacontainers.io/) +* [gVisor Documentation](https://gvisor.dev/) + +--- + +## 📍 Slide 9 – 🏗️ Linux Kernel Features (Namespaces, cgroups, Capabilities, SELinux/AppArmor) + +* 🐧 **Linux Kernel = Container Foundation** - Containers are NOT a kernel feature; they're built from combining multiple kernel primitives +* 🧩 **Namespaces** = Isolation of system resources (what a process can see) +* 📊 **cgroups (Control Groups)** = Resource limiting and accounting (what a process can use) +* 🔑 **Capabilities** = Fine-grained privilege control (what a process can do) +* 🛡️ **Security Modules** = SELinux/AppArmor for Mandatory Access Control (MAC = Mandatory Access Control) + +**Kernel Features Building Blocks** +```mermaid +flowchart LR + subgraph "🐧 Linux Kernel Features" + NS["🧩 Namespaces
Isolation
What you see"] + CG["📊 cgroups
Limits
What you use"] + CAP["🔑 Capabilities
Privileges
What you can do"] + SEC["🛡️ Security Modules
MAC
Policy enforcement"] + end + + subgraph "🐳 Container Runtime" + runtime["⚙️ runc/crun
Combines features"] + end + + subgraph "📦 Running Container" + container["📦 Isolated Process
Limited resources
Restricted permissions
Policy-enforced"] + end + + NS --> runtime + CG --> runtime + CAP --> runtime + SEC --> runtime + runtime --> container + + style NS fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style CG fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style CAP fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style SEC fill:#fdebd0,stroke:#2c3e50,color:#2c3e50 + style runtime fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style container fill:#a9dfbf,stroke:#2c3e50,color:#2c3e50 +``` + +* 🧩 **Namespaces - Process Isolation (7 Types)**: + * 🆔 **PID (Process ID)**: Isolated process tree, PID 1 inside container + * 🌐 **Network**: Separate network stack (interfaces, routes, firewall rules) + * 🏔️ **Mount**: Isolated filesystem mount points + * 🔤 **UTS (Unix Timesharing System)**: Hostname and domain name isolation + * 📬 **IPC (Inter-Process Communication)**: Separate message queues, semaphores + * 👤 **User**: Map container root to non-root host user (rootless containers) + * ⏰ **Time**: Isolated system clock (Linux 5.6+, for time-sensitive apps) + +* 📊 **cgroups - Resource Control (Control Groups)**: + * 🧠 **CPU**: Limit CPU shares, cores, throttling + * 💾 **Memory**: Set memory limits, swap, OOM (Out Of Memory) behavior + * 💿 **I/O**: Disk read/write limits, IOPS (Input/Output Operations Per Second) + * 🌐 **Network**: Bandwidth limiting (via tc = traffic control) + * 🎯 **Accounting**: Track resource usage per container + * 🔄 **Versions**: cgroups v1 (legacy) vs v2 (unified hierarchy, modern) + +**cgroups Hierarchy** +```mermaid +flowchart LR + subgraph "📊 cgroups v2 Hierarchy" + root["/sys/fs/cgroup/"] + docker_slice["docker.slice/"] + container1["docker-abc123.scope"] + container2["docker-def456.scope"] + + subgraph "Per-Container Limits" + cpu["🧠 cpu.max
CPU quota"] + mem["💾 memory.max
RAM limit"] + io["💿 io.max
Disk limit"] + end + end + + root --> docker_slice + docker_slice --> container1 + docker_slice --> container2 + container1 --> cpu + container1 --> mem + container1 --> io + + style root fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style docker_slice fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style container1 fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 +``` + +* 🔑 **Capabilities - Fine-Grained Privileges**: + * 🛡️ **Concept**: Split root privileges into discrete units + * 📋 **Examples**: CAP_NET_BIND_SERVICE (bind port <1024), CAP_SYS_ADMIN (mount), CAP_CHOWN (change file owner) + * 🚫 **Default Drop**: Containers drop dangerous capabilities by default + * ✅ **Add Selectively**: Only grant needed capabilities (principle of least privilege) + * 🔒 **Rootless**: Run containers as non-root user with limited capabilities + +```bash +# 🔍 View default container capabilities +docker run --rm alpine sh -c 'cat /proc/self/status | grep Cap' + +# 🚫 Drop all capabilities, add only specific ones +docker run --rm \ + --cap-drop=ALL \ + --cap-add=NET_BIND_SERVICE \ + nginx + +# 🧪 Try to use dropped capability (will fail) +docker run --rm \ + --cap-drop=CHOWN \ + alpine chown nobody:nobody /tmp # ❌ Operation not permitted +``` + +* 🛡️ **SELinux/AppArmor - Mandatory Access Control**: + * 🔐 **Purpose**: Enforce security policies beyond traditional permissions + * 🏢 **SELinux (Security-Enhanced Linux)**: Label-based, used by RHEL/CentOS/Fedora + * 🍎 **AppArmor**: Path-based, used by Ubuntu/Debian/SUSE + * 🧩 **Container Policies**: Restrict syscalls, file access, network operations + * ⚠️ **Modes**: Enforcing (block violations), Permissive (log only), Disabled + +* 🧠 **How They Work Together**: + * 🧩 **Namespaces**: Container sees separate system + * 📊 **cgroups**: Container limited to allocated resources + * 🔑 **Capabilities**: Container has restricted permissions + * 🛡️ **MAC (Mandatory Access Control)**: Kernel enforces security policy + +**Complete Isolation Stack** +```mermaid +flowchart LR + App["📱 App Process"] --> Namespaces["🧩 Namespaces
Isolated view"] + Namespaces --> Capabilities["🔑 Capabilities
Limited privileges"] + Capabilities --> cgroups["📊 cgroups
Resource limits"] + cgroups --> SELinux["🛡️ SELinux/AppArmor
Policy enforcement"] + SELinux --> Kernel["🐧 Linux Kernel
System calls"] + + style App fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style Namespaces fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style Capabilities fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style cgroups fill:#fdebd0,stroke:#2c3e50,color:#2c3e50 + style SELinux fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style Kernel fill:#a9dfbf,stroke:#2c3e50,color:#2c3e50 +``` + +* 💡 **Fun Fact**: Containers are just processes with fancy kernel features - you can create a "container" manually using `unshare`, `cgroups`, and `chroot`! + +🔗 **Resources:** +* [Linux Namespaces Documentation](https://man7.org/linux/man-pages/man7/namespaces.7.html) +* [cgroups v2 Documentation](https://www.kernel.org/doc/html/latest/admin-guide/cgroup-v2.html) +* [Linux Capabilities](https://man7.org/linux/man-pages/man7/capabilities.7.html) +* [Container Security Best Practices](https://cheatsheetseries.owasp.org/cheatsheets/Docker_Security_Cheat_Sheet.html) + +--- +## 📍 Slide 10 – 🐋 Docker Architecture (Client-Server, Daemon, CLI, Engine) + +* 🏗️ **Docker Architecture** = Client-server model with Docker daemon (dockerd) managing containers +* 💻 **Docker Client** = CLI tool (`docker` command) that talks to daemon via REST API +* 🔧 **Docker Daemon (dockerd)** = Background service managing images, containers, networks, volumes +* ⚙️ **Docker Engine** = Complete package: daemon + containerd + runc +* 🌐 **Remote Access** = Can control remote Docker hosts via TCP/SSH/socket + +**Docker Architecture Components** +```mermaid +flowchart LR + CLI["💻 Docker CLI
docker run/build/ps"] --> API["🔌 REST API
Unix socket or TCP"] + API --> Daemon["🔧 dockerd
Docker Daemon"] + Daemon --> containerd["⚙️ containerd
Container lifecycle"] + containerd --> shim["📦 containerd-shim"] + shim --> runc["🏃 runc
OCI runtime"] + + Daemon --> Images["📸 Image Management"] + Daemon --> Networks["🌐 Network Management"] + Daemon --> Volumes["💾 Volume Management"] + + style CLI fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style Daemon fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style containerd fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style runc fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +* 🔑 **Key Components**: + * 🖥️ **Docker Desktop**: GUI app for Mac/Windows (includes Docker Engine) + * 🐳 **Docker Hub**: Default public registry for images + * 🔌 **Docker API**: RESTful interface for automation + * 🧩 **Docker Compose**: Multi-container orchestration tool + +```bash +# 🔍 Docker architecture inspection +docker version # Shows client and server versions +docker info # Detailed system information +docker system df # Disk usage by images/containers/volumes + +# 🌐 Connect to remote Docker host +docker -H ssh://user@remote.host ps +docker -H tcp://192.168.1.10:2375 ps +``` + +🔗 **Resources:** +* [Docker Architecture Overview](https://docs.docker.com/get-started/overview/) +* [Docker Engine API](https://docs.docker.com/engine/api/) + +--- + +## 📍 Slide 11 – 📦 Docker Images & Layers (Build Process, Caching, Multi-stage) + +* 🎂 **Image Layers** = Read-only filesystem layers stacked using Union FS (UnionFS = Union File System) +* 🔄 **Layer Caching** = Unchanged layers reused in builds (speeds up rebuilds) +* 🏗️ **Build Context** = Files sent to Docker daemon during build +* 🎯 **Multi-stage Builds** = Use multiple FROM statements to reduce final image size +* 📏 **Best Practice** = Order Dockerfile commands from least to most frequently changing + +**Image Layer Stack** +```mermaid +flowchart LR + Base["🧱 FROM alpine:3.18
Layer 1: 5MB"] --> Run1["⚙️ RUN apk add python3
Layer 2: +50MB"] + Run1 --> Copy["📁 COPY requirements.txt
Layer 3: +1KB"] + Copy --> Run2["📦 RUN pip install
Layer 4: +100MB"] + Run2 --> Copy2["📱 COPY app.py
Layer 5: +10KB"] + Copy2 --> Final["📦 Final Image
Total: 155MB"] + + style Base fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style Run1 fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style Copy fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style Run2 fill:#fdebd0,stroke:#2c3e50,color:#2c3e50 + style Copy2 fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style Final fill:#a9dfbf,stroke:#2c3e50,color:#2c3e50 +``` + +🔗 **Resources:** +* [Dockerfile Best Practices](https://docs.docker.com/develop/develop-images/dockerfile_best-practices/) +* [Multi-stage Builds](https://docs.docker.com/build/building/multi-stage/) + +--- + +## 📍 Slide 12 – 🎯 Dockerfile Best Practices (Optimization, Security, Size) + +* 📏 **Order Matters** = Place frequently changing commands last (maximize cache hits) +* 🪶 **Minimize Layers** = Combine RUN commands with `&&` to reduce layers +* 🧹 **Clean Up** = Remove temporary files in same RUN command +* 🔒 **Security** = Use non-root user, scan for vulnerabilities, minimal base images +* 📦 **Size Optimization** = Use Alpine Linux, multi-stage builds, .dockerignore +* 🔑 **Key Optimizations**: + * 📁 **.dockerignore**: Exclude unnecessary files from build context + * 🏗️ **Layer Ordering**: Dependencies before code (better caching) + * 🧹 **Cleanup in Same Layer**: `RUN apt-get update && apt-get install && rm -rf /var/lib/apt/lists/*` + * 🔒 **Non-root User**: Create and switch to unprivileged user + * 🎯 **Minimal Base**: Alpine (5MB) vs Ubuntu (77MB) + +🔗 **Resources:** +* [Docker Security Best Practices](https://snyk.io/blog/10-docker-image-security-best-practices/) +* [Dockerfile Optimization](https://docs.docker.com/develop/dev-best-practices/) + +--- + +## 📍 Slide 13 – 🌐 Docker Networking (Bridge, Host, Overlay, Container Communication) + +* 🌉 **Bridge Network** = Default, isolated network for containers on single host +* 🏠 **Host Network** = Container uses host's network stack directly (no isolation) +* 🌐 **Overlay Network** = Multi-host networking for Docker Swarm/services +* 🔗 **Container Links** = Deprecated; use user-defined networks instead +* 🔌 **Port Mapping** = `-p host:container` exposes container ports to host + +**Docker Network Types** +```mermaid +flowchart LR + subgraph "🌉 Bridge Network (Default)" + C1["📦 Container 1
172.17.0.2"] + C2["📦 Container 2
172.17.0.3"] + Bridge["🌉 docker0 bridge
172.17.0.1"] + end + + subgraph "🏠 Host Network" + C3["📦 Container 3
Uses host IPs"] + end + + subgraph "🌐 Overlay Network" + Node1["🖥️ Host 1"] --> OV["🌐 Overlay"] + Node2["🖥️ Host 2"] --> OV + end + + C1 --> Bridge + C2 --> Bridge + Bridge --> Host["💻 Host Network"] + C3 --> Host + + style Bridge fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style C3 fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style OV fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 +``` + +* 📊 **Network Drivers**: + * 🌉 **bridge**: Default, single host + * 🏠 **host**: No isolation, best performance + * 🔌 **none**: No networking + * 🌐 **overlay**: Multi-host (Swarm) + * 🔗 **macvlan**: Assign MAC address to container + +🔗 **Resources:** +* [Docker Networking Overview](https://docs.docker.com/network/) +* [Container Networking Deep Dive](https://www.youtube.com/watch?v=bKFMS5C4CG0) + +--- + +## 📍 Slide 14 – 💾 Docker Storage (Volumes, Bind Mounts, tmpfs, Drivers) + +* 💾 **Volumes** = Managed by Docker, best for persistent data +* 📁 **Bind Mounts** = Mount host directory into container +* ⚡ **tmpfs** = In-memory storage, fast but ephemeral +* 🗄️ **Storage Drivers** = overlay2 (default), btrfs, zfs, devicemapper +* 🔄 **Container Layer** = Writable layer on top of read-only image layers + +**Storage Options Comparison** +```mermaid +flowchart LR + subgraph "💾 Docker Volume" + Vol["🗄️ Managed by Docker
/var/lib/docker/volumes/
Best practice"] + end + + subgraph "📁 Bind Mount" + Bind["📂 Host directory
/home/user/data
Development use"] + end + + subgraph "⚡ tmpfs" + Tmp["💨 RAM-based
Temporary data
Fast, ephemeral"] + end + + Container["📦 Container"] --> Vol + Container --> Bind + Container --> Tmp + + style Vol fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style Bind fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style Tmp fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 +``` + +* 🎯 **When to Use**: + * 💾 **Volumes**: Databases, application data, production + * 📁 **Bind Mounts**: Development, config files, logs + * ⚡ **tmpfs**: Sensitive data, temporary processing + +🔗 **Resources:** +* [Docker Storage Overview](https://docs.docker.com/storage/) +* [Volume vs Bind Mount](https://docs.docker.com/storage/volumes/) + +--- + +### 🎭 **Interactive Break #1: "Container Horror Stories"** + +**👻 Share Your Container Nightmares!** + +*Time for some fun! Let's hear about container disasters - learning from mistakes is the best education!* + +**🔥 Common Horror Stories:** + +1. **💣 "The 300GB Log File"** + * Developer ran container without volume + * App logged to container filesystem + * Filled up entire host disk + * All containers crashed + * **Lesson**: Always use volumes for logs! 📝 + +2. **🐳 "The Zombie Container Army"** + * CI/CD pipeline didn't clean up + * `docker ps -a` showed 10,000+ stopped containers + * Host ran out of disk space + * **Lesson**: Use `--rm` flag or cleanup scripts! 🧹 + +3. **🔒 "The Exposed Database"** + * Accidentally used `-p 5432:5432` on public server + * PostgreSQL open to internet + * Got hacked in 3 hours + * **Lesson**: Never expose databases directly! 🛡️ + +4. **🏷️ "The Latest Tag Disaster"** + * Production used `image:latest` + * Latest changed overnight + * Production broke at 3 AM + * **Lesson**: Pin specific versions! 📌 + +5. **💾 "The Lost Data Tragedy"** + * Database container without volume + * `docker-compose down` + * All customer data gone + * **Lesson**: Volumes for stateful apps! 💾 + +**🤔 Discussion Questions:** +1. What's the weirdest container issue you've encountered? +2. Ever accidentally deleted production data? +3. What's your container backup strategy? +4. How do you prevent container sprawl? + +**🎯 Quick Quiz:** +* Q: What happens to data when you delete a container without volumes? +* A: 💀 It's gone forever! + +*Remember: Every expert was once a beginner who didn't give up after their first container disaster!* 😄 + +--- + +## 📍 Slide 15 – ☸️ Introduction to Kubernetes (What, Why, Architecture) + +* ☸️ **Kubernetes (K8s)** = Open-source container orchestration platform for automating deployment, scaling, and management +* 🎯 **Born at Google** = Based on 15+ years of running containers (Borg/Omega systems) +* 🌐 **CNCF Project** = Donated to Cloud Native Computing Foundation in 2015 +* 🚀 **Problem It Solves** = Managing hundreds/thousands of containers across multiple hosts +* 📊 **Market Dominance** = De facto standard for container orchestration (78% adoption) + +**Kubernetes solves Container Orchestration Challenges** +```mermaid +flowchart LR + subgraph "❌ Without Kubernetes" + P1["🤯 Manual scaling
SSH to each host"] + P2["💔 No self-healing
Manual restart"] + P3["🌐 Complex networking
Manual load balancing"] + P4["📦 Hard deployments
Downtime required"] + end + + subgraph "✅ With Kubernetes" + S1["⚡ Auto-scaling
Based on metrics"] + S2["🔄 Self-healing
Auto restart/replace"] + S3["🌉 Service discovery
Built-in load balancing"] + S4["🚀 Rolling updates
Zero-downtime deploys"] + end + + P1 --> S1 + P2 --> S2 + P3 --> S3 + P4 --> S4 + + style P1 fill:#fadbd8,stroke:#2c3e50,color:#2c3e50 + style S1 fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +* 🎯 **Core Capabilities**: + * 📦 **Service Discovery & Load Balancing**: Automatic DNS and traffic distribution + * 💾 **Storage Orchestration**: Auto-mount cloud/local storage + * 🔄 **Automated Rollouts/Rollbacks**: Gradual deployment with health checks + * 📊 **Automatic Bin Packing**: Optimal container placement based on resources + * 🔒 **Secret & Config Management**: Secure handling of sensitive data + * 🔧 **Self-Healing**: Restart failed containers, replace/reschedule + +🔗 **Resources:** +* [Kubernetes Official Docs](https://kubernetes.io/docs/home/) +* [Kubernetes the Hard Way](https://github.com/kelseyhightower/kubernetes-the-hard-way) +* [CNCF Kubernetes Overview](https://www.cncf.io/projects/kubernetes/) + +--- + +## 📍 Slide 16 – 🧩 Kubernetes Core Components (Control Plane, Nodes, etcd) + +* 🎯 **Control Plane** = Manages the cluster, makes decisions, detects/responds to events +* 🖥️ **Worker Nodes** = Run containerized applications (Pods) +* 🗄️ **etcd** = Distributed key-value store for all cluster data +* 🔄 **Declarative Model** = Describe desired state, K8s makes it happen +* 🌐 **Highly Available** = Control plane can run on multiple nodes + +**Kubernetes Cluster Architecture** +```mermaid +flowchart LR + subgraph "🎯 Control Plane (Master)" + API["🌐 API Server
kubectl endpoint"] + Sched["📅 Scheduler
Assigns pods to nodes"] + CM["🎛️ Controller Manager
Reconciliation loops"] + etcd["🗄️ etcd
Cluster state DB"] + end + + subgraph "🖥️ Worker Node 1" + kubelet1["🤖 kubelet
Node agent"] + proxy1["🌉 kube-proxy
Network rules"] + runtime1["🐳 Container Runtime
containerd"] + pod1["📦 Pods"] + end + + subgraph "🖥️ Worker Node 2" + kubelet2["🤖 kubelet"] + proxy2["🌉 kube-proxy"] + runtime2["🐳 Container Runtime"] + pod2["📦 Pods"] + end + + API --> etcd + API --> Sched + API --> CM + + kubelet1 --> API + kubelet2 --> API + + kubelet1 --> runtime1 + runtime1 --> pod1 + + kubelet2 --> runtime2 + runtime2 --> pod2 + + style API fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style etcd fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style kubelet1 fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style pod1 fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +* 🎯 **Control Plane Components**: + * 🌐 **kube-apiserver**: Front-end REST API, only component that talks to etcd + * 📅 **kube-scheduler**: Watches for new pods, assigns to nodes based on resources + * 🎛️ **kube-controller-manager**: Runs controller loops (node, replication, endpoints, service accounts) + * ☁️ **cloud-controller-manager**: Integrates with cloud providers (optional) + +* 🖥️ **Worker Node Components**: + * 🤖 **kubelet**: Agent that ensures containers are running in pods + * 🌉 **kube-proxy**: Network proxy, maintains network rules, enables service communication + * 🐳 **Container Runtime**: Runs containers (containerd, CRI-O, Docker deprecated) + +🔗 **Resources:** +* [Kubernetes Components](https://kubernetes.io/docs/concepts/overview/components/) +* [Understanding etcd](https://etcd.io/docs/) + +--- + +## 📍 Slide 17 – 🎯 Kubernetes Objects (Pods, Deployments, Services, ConfigMaps, Secrets) + +* 📦 **Pod** = Smallest deployable unit, one or more containers sharing network/storage +* 🚀 **Deployment** = Manages replica pods, rolling updates, rollbacks +* 🌐 **Service** = Stable network endpoint for accessing pods (load balancing) +* ⚙️ **ConfigMap** = Configuration data (non-sensitive) +* 🔒 **Secret** = Sensitive data (passwords, tokens, keys) + +**Kubernetes Object Hierarchy** +```mermaid +flowchart LR + User["👨‍💻 User"] --> Deployment["🚀 Deployment
Desired replicas: 3"] + Deployment --> RS["📋 ReplicaSet
Manages pods"] + RS --> Pod1["📦 Pod 1
Container(s)"] + RS --> Pod2["📦 Pod 2
Container(s)"] + RS --> Pod3["📦 Pod 3
Container(s)"] + + Service["🌐 Service
Load balancer"] --> Pod1 + Service --> Pod2 + Service --> Pod3 + + Pod1 --> CM["⚙️ ConfigMap
Config data"] + Pod1 --> Secret["🔒 Secret
Passwords"] + + style Deployment fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style Service fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style Pod1 fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +🔗 **Resources:** +* [Kubernetes Objects Overview](https://kubernetes.io/docs/concepts/overview/working-with-objects/) +* [Pod Lifecycle](https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle/) + +--- + +## 📍 Slide 18 – 🌐 Kubernetes Networking (CNI, Services, Ingress, NetworkPolicies) + +* 🔌 **CNI (Container Network Interface)** = Plugin architecture for pod networking +* 🌉 **Service Types** = ClusterIP (internal), NodePort (external), LoadBalancer (cloud) +* 🌐 **Ingress** = HTTP/HTTPS routing to services (reverse proxy) +* 🛡️ **NetworkPolicy** = Firewall rules for pod communication +* 📡 **DNS** = Automatic service discovery via CoreDNS + +**Kubernetes Networking Model** +```mermaid +flowchart LR + Internet["🌍 Internet"] --> Ingress["🌐 Ingress
nginx/traefik
HTTP routing"] + Ingress --> Service1["🌉 Service
web-service
ClusterIP"] + Ingress --> Service2["🌉 Service
api-service
ClusterIP"] + + Service1 --> Pod1["📦 Pod 1
10.244.1.5"] + Service1 --> Pod2["📦 Pod 2
10.244.2.7"] + Service2 --> Pod3["📦 Pod 3
10.244.1.8"] + + NP["🛡️ NetworkPolicy
Allow/Deny rules"] --> Pod1 + + style Ingress fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style Service1 fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style Pod1 fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +* 🔌 **Popular CNI Plugins**: + * 🌐 **Calico**: Network policies, BGP routing + * 🌊 **Cilium**: eBPF-based, high performance + * 🔗 **Flannel**: Simple, overlay network + * 🌉 **Weave Net**: Mesh networking + +🔗 **Resources:** +* [Kubernetes Networking Model](https://kubernetes.io/docs/concepts/services-networking/) +* [Ingress Controllers](https://kubernetes.io/docs/concepts/services-networking/ingress-controllers/) + +--- + +## 📍 Slide 19 – 💾 Kubernetes Storage (PersistentVolumes, PVCs, StorageClasses) + +* 💾 **PersistentVolume (PV)** = Cluster storage resource (admin-provisioned or dynamic) +* 📋 **PersistentVolumeClaim (PVC)** = Request for storage by a pod +* 🏗️ **StorageClass** = Dynamic provisioning profile (cloud disks, NFS, etc.) +* 🔄 **Volume Lifecycle** = Provisioning → Binding → Using → Reclaiming +* 📦 **Access Modes** = ReadWriteOnce (RWO), ReadOnlyMany (ROX), ReadWriteMany (RWX) + +**Storage Architecture** +```mermaid +flowchart LR + Pod["📦 Pod
Needs storage"] --> PVC["📋 PVC
Request: 10GB"] + PVC --> PV["💾 PV
Cloud disk/NFS
Bound to PVC"] + + SC["🏗️ StorageClass
Dynamic provisioner"] --> PV + + Cloud["☁️ Cloud Provider
AWS EBS/GCP PD"] --> PV + + style Pod fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style PVC fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style PV fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style SC fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +* 🎯 **Access Modes**: + * **RWO (ReadWriteOnce)**: Single node read-write (most common) + * **ROX (ReadOnlyMany)**: Multiple nodes read-only + * **RWX (ReadWriteMany)**: Multiple nodes read-write (NFS, CephFS) + +🔗 **Resources:** +* [Kubernetes Storage](https://kubernetes.io/docs/concepts/storage/) +* [Persistent Volumes](https://kubernetes.io/docs/concepts/storage/persistent-volumes/) + +--- diff --git a/lectures/lec7.md b/lectures/lec7.md new file mode 100644 index 00000000..f1ad42a6 --- /dev/null +++ b/lectures/lec7.md @@ -0,0 +1,1962 @@ +# 📌 Lecture 7 - GitOps & Progressive Delivery + +## 📍 Slide 1 – 🚀 What is GitOps? - The Modern Way to Operate + +* 🎯 **GitOps = Git + Operations** - Git as single source of truth for infrastructure and applications +* 📜 **Core Idea**: Declarative config in Git → Automated deployment → Continuous reconciliation +* 🔄 **Paradigm**: From "run these commands" to "this is what I want" +* 🌍 **Adoption**: 67% of K8s orgs use GitOps (2024), up from 28% (2021) +* ⚡ **Impact**: 75% faster deploys, 50% fewer incidents, 90% less config errors + +**GitOps Workflow Overview** +```mermaid +flowchart LR + Dev["👨‍💻 Developer
Push changes"] --> Git["📦 Git Repo
Source of Truth"] + Git --> Operator["🤖 GitOps Operator
Argo CD / Flux"] + Operator --> K8s["☸️ Kubernetes
Running apps"] + K8s --> Monitor["📊 Monitor
Detect drift"] + Monitor --> Operator + + style Dev fill:#e8f8f5,stroke:#2c3e50,color:#2c3e50 + style Git fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style Operator fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style K8s fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style Monitor fill:#fdebd0,stroke:#2c3e50,color:#2c3e50 +``` + +* 🔑 **Key Components**: + * 📂 **Git Repository**: YAML manifests, Helm charts, Kustomize configs + * 🤖 **Operator**: Watches Git, syncs to cluster (Argo CD, Flux) + * ☸️ **K8s Cluster**: Target infrastructure + * 🔄 **Reconciliation**: Ensures Git state = Cluster state + +* 📊 **GitOps vs Traditional**: + +| Aspect | ❌ Traditional | ✅ GitOps | +|--------|---------------|-----------| +| Config | Manual scripts | Declarative Git | +| Deploy | Push from CI/CD | Pull by operator | +| Audit | Scattered logs | Git history | +| Rollback | Manual, risky | Git revert | +| Security | Credentials everywhere | Operator-only access | +| Drift | Manual checks | Auto-reconcile | + +🔗 **Resources:** +* [OpenGitOps Principles](https://opengitops.dev/) +* [Weaveworks GitOps Guide](https://www.weave.works/technologies/gitops/) +* [CNCF GitOps Working Group](https://github.com/cncf/tag-app-delivery/tree/main/gitops-wg) + +--- + +## 📍 Slide 2 – 📜 GitOps History - From FTP to Pull Requests + +* 🏛️ **1990s**: FTP uploads, manual SSH, no version control +* 📦 **2000s**: Puppet (2005), Chef (2009) - still imperative +* 🐳 **2013**: Docker - immutable infrastructure concept +* ☸️ **2014**: Kubernetes - declarative API foundation +* 🎉 **2017**: Alexis Richardson (Weaveworks) coins "GitOps" term +* 🚀 **2018-2020**: Argo CD, Flux, Jenkins X adoption +* 🏆 **2021-2024**: CNCF standardization, Argo + Flux graduated + +**Evolution Timeline** +```mermaid +flowchart LR + A["🏛️ 1990s
FTP/SSH"] --> B["📦 2005
Puppet/Chef"] + B --> C["🐳 2013
Docker"] + C --> D["☸️ 2014
Kubernetes"] + D --> E["🎯 2017
GitOps Term"] + E --> F["🚀 2020
Tool Maturity"] + F --> G["🏆 2024
CNCF Standard"] + + style A fill:#fadbd8,stroke:#2c3e50,color:#2c3e50 + style B fill:#fdebd0,stroke:#2c3e50,color:#2c3e50 + style C fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style D fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style E fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style F fill:#a9dfbf,stroke:#2c3e50,color:#2c3e50 + style G fill:#aed6f1,stroke:#2c3e50,color:#2c3e50 +``` + +* 🎭 **Key Milestones**: + * **2016**: Weaveworks creates Flux (first GitOps tool) + * **2017**: "GitOps" term coined (August blog post) + * **2018**: Intuit releases Argo CD + * **2020**: GitLab adds GitOps features + * **2021**: CNCF OpenGitOps Working Group formed + * **2022**: Argo CD + Flux become CNCF Graduated Projects + * **2024**: 80+ GitOps tools in CNCF landscape + +* 💡 **Fun Historical Facts**: + * 🐑 Original Weaveworks blog post had 200 reads, now referenced in 1000+ articles + * 🏢 Netflix was doing "GitOps-like" practices since 2011 (called it "Declarative Infrastructure") + * 🎯 First GitOps production deployment: Weaveworks' own platform (2016) + * 📊 Google SRE book (2016) described similar concepts without calling it "GitOps" + * 🔥 Initial resistance: "Why do we need another methodology?" → Now industry standard + +* 🌍 **Industry Adoption Growth**: + * **2018**: <5% adoption (early adopters only) + * **2020**: 15% adoption (post-COVID cloud migration boom) + * **2022**: 45% adoption (CNCF graduation impact) + * **2024**: 67% adoption (becoming default practice) + * **2026 Projection**: 85%+ adoption expected + +🔗 **Resources:** +* [Original GitOps Blog Post (2017)](https://www.weave.works/blog/gitops-operations-by-pull-request) +* [CNCF Case Studies](https://www.cncf.io/case-studies/) +* [GitOps Timeline History](https://www.gitops.tech/) + +--- + +## 📍 Slide 3 – 🎯 GitOps Principles - The Four Golden Rules + +* 📜 **OpenGitOps Principles** (CNCF Standard, v1.0.0 - 2021): + 1. 🎨 **Declarative**: System state expressed as code, not procedures + 2. 🔒 **Versioned & Immutable**: Git stores complete history, audit trail + 3. 🔄 **Pulled Automatically**: Agents fetch from Git (not pushed by CI/CD) + 4. 🤖 **Continuously Reconciled**: Auto-detect drift, self-heal + +**The Four GitOps Principles** +```mermaid +flowchart LR + subgraph "1️⃣ Declarative" + Decl["📝 Desired State
YAML manifests
What, not how"] + end + + subgraph "2️⃣ Versioned" + Ver["📚 Git History
Complete audit trail
Easy rollback"] + end + + subgraph "3️⃣ Pulled" + Pull["🔄 Agent-based
Pull from Git
No push access"] + end + + subgraph "4️⃣ Reconciled" + Rec["🔁 Continuous Sync
Drift detection
Auto-correction"] + end + + Decl --> Ver + Ver --> Pull + Pull --> Rec + + style Decl fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style Ver fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style Pull fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style Rec fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +* 🎨 **Principle 1: Declarative Configuration** + * ✅ **Good**: Kubernetes YAML, Helm values, Terraform HCL + * ❌ **Bad**: Bash scripts with `kubectl apply` commands + * 📦 **Example**: "Deploy 3 replicas of nginx:1.21" not "run this script" + * 🎯 **Benefit**: Reproducible, auditable, testable + +* 🔒 **Principle 2: Versioned & Immutable** + * ✅ Git commits = immutable snapshots of infrastructure + * 📚 Complete history: Who changed what, when, why + * 🔄 Easy rollback: `git revert` → auto-deployed + * 🔐 Audit compliance: SOC2, ISO 27001 requirements met + * ⚠️ **Anti-pattern**: Editing live YAML in cluster (`kubectl edit`) + +* 🔄 **Principle 3: Pulled Automatically** + * 🤖 GitOps operator runs **inside** the cluster + * 📥 Operator watches Git repo for changes + * 🔐 **Security Win**: No cluster credentials in CI/CD pipelines + * 🌐 Firewall-friendly: Outbound-only connections + * ⚡ **Benefit**: Multi-cluster deployment from single Git repo + +**Pull vs Push Model** +```mermaid +flowchart TD + subgraph "❌ Push Model (Old)" + CI1["⚙️ CI/CD"] -->|"Pushes
Needs credentials"| Cluster1["☸️ Cluster"] + end + + subgraph "✅ Pull Model (GitOps)" + Git2["📦 Git"] + Operator2["🤖 Operator"] -->|"Pulls from Git"| Git2 + Operator2 -->|"Syncs"| Cluster2["☸️ Cluster"] + end + + style CI1 fill:#fadbd8,stroke:#2c3e50,color:#2c3e50 + style Cluster1 fill:#fadbd8,stroke:#2c3e50,color:#2c3e50 + style Git2 fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style Operator2 fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style Cluster2 fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +* 🤖 **Principle 4: Continuously Reconciled** + * 🔍 Operator compares Git (desired) vs Cluster (actual) + * 🚨 **Drift Detection**: Someone ran `kubectl delete`? Operator restores it + * ⏱️ Reconciliation loop: Every 3 minutes (configurable) + * 🛡️ **Self-Healing**: Auto-fix misconfigurations + * 📊 Reports sync status: In Sync, Out of Sync, Progressing + +* 💪 **Benefits Summary**: + * 🔐 **Security**: Least privilege, no cluster credentials leak + * 📚 **Auditability**: Git log = complete change history + * 🔄 **Disaster Recovery**: Git clone + sync = cluster restored + * ⚡ **Speed**: PRs merged = instant deployment + * 🧪 **Testing**: Validate YAML before merge + * 👥 **Collaboration**: Code review for infrastructure changes + +* ⚠️ **Common Anti-Patterns (What NOT to Do)**: + * ❌ Direct `kubectl apply` from laptop ("works on my machine") + * ❌ Manual edits in production + * ❌ Configuration stored in Confluence/wiki + * ❌ CI/CD with cluster admin credentials + * ❌ No Git history (force push, rebasing main branch) + * ❌ Ignoring drift detection alerts + +🔗 **Resources:** +* [OpenGitOps v1.0.0 Spec](https://github.com/open-gitops/documents/blob/main/PRINCIPLES.md) +* [GitOps Principles Explained](https://opengitops.dev/) +* [CNCF GitOps Whitepaper](https://github.com/cncf/tag-app-delivery/blob/main/gitops-wg/assets/gitops-whitepaper.pdf) + +--- + +## 📍 Slide 4 – ⚡ Push vs Pull Deployment Models - The Great Debate + +* 🚀 **Push Model (Traditional CI/CD)**: + * CI/CD pipeline **pushes** changes to cluster + * Requires cluster credentials in CI/CD system + * Examples: Jenkins, GitLab CI, GitHub Actions with kubectl + +* 🔄 **Pull Model (GitOps)**: + * Operator **pulls** from Git repository + * Runs inside cluster, no external credentials + * Examples: Argo CD, Flux CD + +**Push vs Pull Architecture Comparison** +```mermaid +flowchart TD + subgraph "🚀 Push Model" + Dev1["👨‍💻 Developer"] --> CI["⚙️ CI/CD
Jenkins/GitLab"] + CI -->|"❌ Push + Credentials"| K8s1["☸️ Cluster"] + CI -.->|"Needs access"| Cred1["🔑 Kubeconfig
Admin credentials"] + end + + subgraph "🔄 Pull Model" + Dev2["👨‍💻 Developer"] --> Git["📦 Git Repo"] + Git --> Op["🤖 Operator
In-cluster"] + Op -->|"✅ Sync"| K8s2["☸️ Cluster"] + Op -.->|"No external creds"| Secure["🔐 Secure"] + end + + style CI fill:#fadbd8,stroke:#2c3e50,color:#2c3e50 + style Cred1 fill:#fadbd8,stroke:#2c3e50,color:#2c3e50 + style Git fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style Op fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style Secure fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +* 📊 **Detailed Comparison**: + +| Aspect | 🚀 Push Model | 🔄 Pull Model | +|--------|--------------|--------------| +| **Security** | ❌ Credentials in CI/CD | ✅ In-cluster only | +| **Scalability** | ❌ CI/CD bottleneck | ✅ Scales per cluster | +| **Auditability** | ⚠️ CI/CD logs | ✅ Git commits | +| **Firewall** | ❌ Inbound access needed | ✅ Outbound only | +| **Rollback** | ❌ Re-run pipeline | ✅ Git revert | +| **Drift** | ❌ Not detected | ✅ Auto-corrected | +| **Multi-cluster** | ❌ Complex | ✅ Easy | + +* 🚀 **Push Model - Pros & Cons**: + * ✅ **Pros**: + * Simple, familiar workflow + * Immediate feedback in CI/CD + * Works with any infrastructure (not just K8s) + * Good for build/test stages + * ❌ **Cons**: + * Cluster credentials in CI/CD = security risk + * No drift detection + * Scaling to 100+ clusters difficult + * Firewall/network complexity + +* 🔄 **Pull Model - Pros & Cons**: + * ✅ **Pros**: + * Enhanced security (no external credentials) + * Automatic drift detection + correction + * Scales to 1000+ clusters easily + * Firewall-friendly (outbound only) + * Self-healing systems + * ❌ **Cons**: + * Requires operator installation + * Kubernetes-specific (mostly) + * Slightly delayed feedback vs push + * Learning curve for teams + +* 🎯 **When to Use Push Model**: + * 🔨 Building and testing artifacts (CI phase) + * 🧪 Running integration tests + * 📦 Publishing Docker images + * ✅ Generating and validating manifests + * 🚫 **NOT for** deploying to production clusters + +* 🎯 **When to Use Pull Model**: + * 🚀 Deploying to production + * 🌍 Multi-cluster deployments + * 🔐 Security-sensitive environments + * 🏢 Enterprise scale (100+ clusters) + * ☸️ Kubernetes-native applications + +* 🔀 **Hybrid Approach (Best Practice)**: + * **CI Pipeline (Push)**: Build → Test → Push image to registry → Update Git repo + * **GitOps (Pull)**: Operator syncs Git → Deploys to cluster + * 🎯 **Pattern**: "Push to Git, Pull to Cluster" + +**Hybrid GitOps Pipeline** +```mermaid +flowchart LR + Dev["👨‍💻 Code Push"] --> CI["⚙️ CI Build
Test + Build"] + CI -->|"Push image"| Registry["🐳 Registry"] + CI -->|"Update manifest"| Git["📦 Git Repo"] + Git --> Operator["🤖 GitOps Operator"] + Operator -->|"Pull + Sync"| K8s["☸️ Cluster"] + Registry -.->|"Image"| K8s + + style CI fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style Git fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style Operator fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style K8s fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 +``` + +* 💡 **Real-World Example - Intuit**: + * 🏢 Manages 2000+ Kubernetes clusters + * 🚀 Uses push for CI, pull for CD + * 📊 Reduced deployment time from 4 hours to 15 minutes + * 🔐 Zero production credential leaks since GitOps adoption + * 💰 Saved $2M annually in operational costs + +* 🔐 **Security Comparison Deep Dive**: + * **Push Model Risk**: Compromise CI/CD → Access all clusters + * **Pull Model Risk**: Compromise Git → Limited blast radius + * **Mitigation**: Branch protection, signed commits, RBAC + +🔗 **Resources:** +* [GitOps Push vs Pull](https://www.weave.works/blog/gitops-operations-by-pull-request) +* [Argo CD vs Jenkins](https://blog.argoproj.io/argo-cd-vs-jenkins-x-vs-spinnaker-8e5d5e9c9fca) +* [Pull-based GitOps Security](https://www.cncf.io/blog/2021/03/11/gitops-and-security/) + +--- + +## 📍 Slide 5 – 🛠️ GitOps Tooling Landscape - Choosing Your Weapon + +* 🏆 **Top GitOps Operators (CNCF Projects)**: + * 🚀 **Argo CD**: Application-focused, powerful UI, enterprise features + * 🌊 **Flux CD**: Modular toolkit, GitOps Toolkit components + * ☸️ **Others**: Jenkins X, Rancher Fleet, Codefresh + +**CNCF GitOps Landscape 2024** +```mermaid +flowchart LR + subgraph "🏆 CNCF Graduated" + Argo["🚀 Argo CD
Dec 2022
Application-centric"] + Flux["🌊 Flux CD
Nov 2022
Toolkit-based"] + end + + subgraph "🎯 CNCF Incubating/Sandbox" + Others["☸️ Jenkins X
📦 Fleet
🔄 Codefresh"] + end + + subgraph "🛠️ Complementary Tools" + Helm["⎈ Helm
Packaging"] + Kust["📦 Kustomize
Patching"] + Seal["🔐 Sealed Secrets
Security"] + end + + Argo --> Helm + Flux --> Kust + Others --> Seal + + style Argo fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style Flux fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style Others fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 +``` + +* 🚀 **Argo CD Overview**: + * 🎯 **Focus**: Application deployment and lifecycle management + * 🖥️ **UI**: Rich web interface, application tree view + * 📊 **Features**: Multi-cluster, SSO, RBAC, hooks, sync waves + * 👥 **Creator**: Intuit (2018), now CNCF Graduated + * 📈 **Adoption**: 60% market share, 15K+ GitHub stars + * 🏢 **Best For**: Teams wanting UI-first experience + +* 🌊 **Flux CD Overview**: + * 🎯 **Focus**: GitOps Toolkit - composable, extensible components + * ⌨️ **CLI-first**: `flux` CLI, optional UI (Weave GitOps) + * 🧩 **Architecture**: Source Controller, Kustomize Controller, Helm Controller + * 👥 **Creator**: Weaveworks (2016), CNCF Graduated + * 📈 **Adoption**: 30% market share, 6K+ GitHub stars + * 🏢 **Best For**: Platform teams, advanced customization + +* 📊 **Feature Comparison Matrix**: + +| Feature | 🚀 Argo CD | 🌊 Flux CD | +|---------|-----------|-----------| +| **UI** | ✅ Excellent native UI | ⚠️ Optional (Weave GitOps) | +| **CLI** | ✅ `argocd` CLI | ✅ `flux` CLI | +| **Multi-tenancy** | ✅ AppProjects | ✅ Namespaced controllers | +| **Git Sources** | ✅ Git repos | ✅ Git + OCI + S3 | +| **Helm Support** | ✅ Native | ✅ HelmRelease CRD | +| **Kustomize** | ✅ Native | ✅ Kustomization CRD | +| **OCI Registry** | ⚠️ Improving (v2.8+) | ✅ Excellent | +| **Notifications** | ✅ Built-in | ✅ Notification Controller | +| **Progressive Delivery** | ⚠️ Via Argo Rollouts | ✅ Via Flagger | +| **Scalability** | ✅ 1000+ clusters | ✅ 1000+ clusters | +| **Learning Curve** | 🟢 Easy | 🟡 Moderate | + +* 🔧 **Complementary Tools**: + * ⎈ **Helm**: Package manager, templating (both tools support) + * 📦 **Kustomize**: YAML patching, overlays (both tools support) + * 🔐 **Sealed Secrets**: Encrypted secrets in Git (both tools support) + * 🗝️ **External Secrets**: Sync from Vault/AWS Secrets Manager + * 🔑 **SOPS**: Mozilla's encryption for YAML + * 🌍 **Terraform**: Infrastructure provisioning (use with GitOps) + +* 🎯 **Decision Tree - When to Choose What**: + +**Argo CD** if you want: +- 🖥️ Rich UI for visualization +- 🎯 Application-centric approach +- 🔄 Built-in sync waves and hooks +- 👥 Easy onboarding for developers +- 🏢 Enterprise features (SSO, RBAC) + +**Flux CD** if you want: +- 🧩 Modular, composable architecture +- 📦 OCI registry support +- 🔧 Maximum flexibility +- 🌊 Embedded in platform (GitLab, Azure Arc) +- ⚙️ Advanced customization + +**Both** if you: +- 🏢 Have multiple teams with different needs +- 🔄 Want to learn both approaches +- 🎯 Need specialized features from each + +* 📈 **Market Share & Adoption (2024)**: + * 🚀 Argo CD: ~60% (15,000+ stars, 10M+ pulls) + * 🌊 Flux CD: ~30% (6,000+ stars, integrated in platforms) + * ☸️ Others: ~10% (Jenkins X, Fleet, etc.) + +* 💼 **Industry Usage**: + * **Argo CD**: Intuit, Tesla, Adobe, Red Hat, IBM + * **Flux CD**: Microsoft Azure Arc, GitLab, D2iQ, VMware + * **Both**: Many enterprises run both for different use cases + +🔗 **Resources:** +* [Argo CD Documentation](https://argo-cd.readthedocs.io/) +* [Flux CD Documentation](https://fluxcd.io/docs/) +* [CNCF Landscape GitOps Category](https://landscape.cncf.io/card-mode?category=continuous-integration-delivery&grouping=category) +* [GitOps Tools Comparison](https://www.weave.works/blog/gitops-tools-comparison) + +--- + +## 📍 Slide 6 – 🏗️ GitOps Repository Strategies - Organizing Your Git Repos + +* 📂 **Repository Structure Decisions**: + * 🏢 **Monorepo vs Polyrepo**: One repo for everything vs separate repos + * 📁 **Directory Layout**: How to organize apps, environments, clusters + * 🌳 **Branching Strategy**: How to handle environments and promotions + * 🔀 **Separation of Concerns**: Application code vs configuration + +**Monorepo vs Polyrepo Comparison** +```mermaid +flowchart LR + subgraph "📦 Monorepo Approach" + Mono["📂 One Repository"] --> Apps1["📱 /apps/app1
📱 /apps/app2"] + Mono --> Envs1["🌍 /environments/dev
🌍 /environments/prod"] + Mono --> Infra1["🏗️ /infrastructure"] + end + + subgraph "🗂️ Polyrepo Approach" + Multi1["📦 app1-config"] + Multi2["📦 app2-config"] + Multi3["📦 infra-config"] + Multi4["📦 platform-config"] + end + + style Mono fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style Multi1 fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style Multi2 fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style Multi3 fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 +``` + +* 📦 **Monorepo Strategy**: + * ✅ **Pros**: + * Single source of truth, atomic changes across apps + * Easier to enforce standards + * Simpler CI/CD configuration + * ❌ **Cons**: + * Large repos slow down Git operations + * Harder RBAC (entire repo access) + * Team independence limited + * 🎯 **Best For**: Small teams (5-20), platform teams, getting started + +* 🗂️ **Polyrepo Strategy**: + * ✅ **Pros**: + * Team autonomy, better RBAC + * Faster Git operations + * Independent versioning + * ❌ **Cons**: + * Cross-repo changes complex + * More repos to manage + * Duplicate configurations + * 🎯 **Best For**: Large orgs (100+ teams), microservices at scale + +* 📊 **Real-World Examples**: + * **Intuit**: Polyrepo (1 repo per team), app-of-apps pattern + * **GitLab**: Monorepo for platform, polyrepo for apps + * **Weaveworks**: Monorepo with Flux multi-tenancy + +🔗 **Resources:** +* [Argo CD Best Practices](https://argo-cd.readthedocs.io/en/stable/user-guide/best_practices/) +* [Flux CD Repo Structure](https://fluxcd.io/flux/guides/repository-structure/) +* [GitOps Repository Patterns](https://codefresh.io/blog/how-to-model-your-gitops-environments-and-promote-releases-between-them/) +* [Kustomize Best Practices](https://kubectl.docs.kubernetes.io/guides/config_management/) + +--- + +### 🎭 **Interactive Break #1: "GitOps Myths Buster"** 🎯 + +**True or False? Test Your GitOps Knowledge!** + +*Let's bust some GitOps myths with fun memes and real answers!* + +--- + +**Myth 1: "GitOps is just Infrastructure as Code with a fancy name"** 🤔 +- ❓ **True or False?** + +
+Click to reveal answer + +**❌ FALSE!** + +While IaC is a component, GitOps adds: +- 🔄 Continuous reconciliation (self-healing) +- 🤖 Pull-based deployment model +- 📊 Drift detection +- 🔒 Enhanced security (no cluster credentials in CI) + +**Meme**: ![IaC vs GitOps](https://i.imgur.com/gitops-meme1.jpg) +"IaC: Defines infrastructure +GitOps: Defines infrastructure + enforces it + monitors it + heals it" +
+ +--- + +**Myth 2: "GitOps only works with Kubernetes"** 🤔 +- ❓ **True or False?** + +
+Click to reveal answer + +**❌ FALSE!** + +While K8s is most common, GitOps principles apply to: +- 🗄️ Databases (schema migrations) +- 🌐 DNS records +- ☁️ Cloud resources (Terraform) +- 🔥 Firewall rules +- 📦 VM provisioning + +**Reality**: 80% of GitOps is K8s, but not limited to it! + +
+ +--- + +**Myth 3: "You need to choose either Argo CD OR Flux CD, never both"** 🤔 +- ❓ **True or False?** + +
+Click to reveal answer + +**❌ FALSE!** + +Many enterprises run BOTH: +- 🚀 Argo CD for application teams (UI-focused) +- 🌊 Flux CD for platform teams (GitOps Toolkit) +- 🎯 Different use cases, same Git repos + +**Real Example**: Large bank uses Argo CD for 500+ dev teams, Flux for infrastructure team + +
+ +--- + +**Myth 4: "GitOps replaces CI/CD entirely"** 🤔 +- ❓ **True or False?** + +
+Click to reveal answer + +**❌ FALSE!** + +GitOps **complements** CI/CD: +- ⚙️ **CI**: Build, test, push images +- 🚀 **GitOps**: Deploy, reconcile, monitor + +**Best Practice**: CI pushes to Git, GitOps pulls from Git + +**Funny analogy**: +"Saying GitOps replaces CI/CD is like saying +refrigerators replace ovens. Different jobs!" + +
+ +--- + +**Myth 5: "Manual kubectl commands are fine in emergencies"** 🤔 +- ❓ **True or False?** + +
+Click to reveal answer + +**⚠️ MOSTLY FALSE!** + +In true emergencies: +1. ✅ Make manual fix to resolve incident +2. ✅ **Immediately** commit fix to Git +3. ✅ Let GitOps reconcile + +**Never**: Make manual changes and forget them (drift nightmare!) + +**Horror Story**: +"We manually scaled to 100 pods during Black Friday. +GitOps scaled back to 3 pods at midnight. +Outage at 12:01 AM. 😱" + +**Lesson**: Always update Git! + +
+ +--- + +**Myth 6: "GitOps means I can't make changes quickly"** 🤔 +- ❓ **True or False?** + +
+Click to reveal answer + +**❌ FALSE!** + +Speed comparison: +- ❌ Traditional: SSH to server, edit files, restart → 10+ min +- ✅ GitOps: Commit to Git → Auto-sync → 30 seconds + +**Plus**: GitOps changes are: +- 📚 Documented +- 🔄 Reversible +- 👥 Reviewed +- 📊 Audited + +**Meme**: +"Junior dev: How do I deploy? +Senior with GitOps: Just merge the PR +Junior dev: That's it? +Senior: That's it." + +
+ +--- + +**🎯 Quick Poll - Raise Your Hand!** + +1. 🙋 Who has used `kubectl apply` from their laptop in production? +2. 🙋 Who has manually edited a ConfigMap and forgot to update Git? +3. 🙋 Who has experienced drift where cluster state didn't match Git? +4. 🙋 Who is excited to try GitOps now? + +**💡 Remember**: Every expert started as a beginner. The fact that you're learning GitOps now puts you ahead of the curve! 🚀 + +--- + +## 📍 Slide 7 – ☸️ Argo CD Architecture & Core Concepts + +* 🎯 **Argo CD** = Declarative GitOps continuous delivery tool for Kubernetes +* 🏗️ **Architecture**: API Server, Repo Server, Application Controller, Redis, Dex (SSO/RBAC) +* 📦 **Core CRDs (Custom Resource Definitions)**: + * Application: Defines source (Git) and destination (K8s cluster) + * AppProject: Logical grouping with RBAC and resource restrictions + * ApplicationSet: Template-based multi-app/multi-cluster management +* 🔄 **Sync Strategies**: Manual, Auto-sync, Self-heal, Prune resources +* 📊 **Health Assessment**: Built-in for K8s resources, custom for CRDs + +**Argo CD Architecture Components** +```mermaid +flowchart LR + UI["🖥️ Argo CD UI
Web Dashboard"] --> API["🌐 API Server
gRPC/REST API"] + CLI["⌨️ argocd CLI"] --> API + + API --> AppController["🎯 Application Controller
Reconciliation loop"] + API --> RepoServer["📦 Repo Server
Git interaction"] + API --> Dex["🔐 Dex
SSO/RBAC"] + + AppController --> K8s["☸️ Kubernetes API
Apply manifests"] + RepoServer --> Git["📚 Git Repository
Source of truth"] + AppController --> Redis["💾 Redis
Cache & state"] + + style UI fill:#e8f8f5,stroke:#2c3e50,color:#2c3e50 + style API fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style AppController fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style RepoServer fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style K8s fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +🔗 **Resources:** +* [Argo CD Official Docs](https://argo-cd.readthedocs.io/) +* [Argo CD Architecture](https://argo-cd.readthedocs.io/en/stable/operator-manual/architecture/) +* [Application CRD Spec](https://argo-cd.readthedocs.io/en/stable/operator-manual/application.yaml) + +--- + +## 📍 Slide 8 – 🎨 Argo CD in Action - Hands-On Deployment + +* 🚀 **Installation Options**: + * **Helm**: `helm install argocd argo/argo-cd` + * **Kustomize**: `kubectl apply -k https://github.com/argoproj/argo-cd/manifests/ha/install` + * **Operator**: Red Hat OpenShift GitOps Operator + +* 📥 **Quick Installation** (Non-HA): +```bash +# Create namespace +kubectl create namespace argocd + +# Install Argo CD +kubectl apply -n argocd -f \ + https://raw.githubusercontent.com/argoproj/argo-cd/stable/manifests/install.yaml + +# Get initial admin password +kubectl -n argocd get secret argocd-initial-admin-secret \ + -o jsonpath="{.data.password}" | base64 -d + +# Port-forward to access UI +kubectl port-forward svc/argocd-server -n argocd 8080:443 +``` + +* 🌐 **Access Argo CD UI**: + * URL: `https://localhost:8080` + * Username: `admin` + * Password: From secret above + +**Deploying First Application via UI** +```mermaid +flowchart LR + Login["🔐 Login to UI"] --> New["➕ New Application"] + New --> Config["⚙️ Configure App
Name, Project, Sync"] + Config --> Source["📦 Set Source
Git repo, path, branch"] + Source --> Dest["🎯 Set Destination
Cluster, namespace"] + Dest --> Create["✅ Create"] + Create --> Sync["🔄 Sync Application"] + Sync --> Monitor["📊 Monitor Health"] + + style Login fill:#e8f8f5,stroke:#2c3e50,color:#2c3e50 + style Config fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style Source fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style Dest fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style Sync fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +* 🎯 **UI Features Walkthrough**: + * **Application Tree View**: Hierarchical resource visualization + * **Sync Status**: In-Sync, Out-of-Sync, Syncing + * **Live Manifests**: View actual K8s manifests + * **Desired Manifests**: View Git manifests + * **Diff View**: Side-by-side comparison + * **Events**: Application lifecycle events + * **Logs**: Pod logs streaming + +* 📊 **Health Status Interpretation**: + * ✅ **Healthy + Synced**: Perfect state, no action needed + * ⚠️ **Progressing + Synced**: Deployment rolling out + * ❌ **Degraded + Synced**: Pods crashing, investigate logs + * 🔄 **Healthy + Out-of-Sync**: Manual changes detected + * ❌ **Degraded + Out-of-Sync**: Multiple issues, sync + debug + +🔗 **Resources:** +* [Argo CD Getting Started](https://argo-cd.readthedocs.io/en/stable/getting_started/) +* [Argo CD CLI Commands](https://argo-cd.readthedocs.io/en/stable/user-guide/commands/argocd/) +* [Sealed Secrets GitHub](https://github.com/bitnami-labs/sealed-secrets) +* [External Secrets Operator](https://external-secrets.io/) + +--- + +## 📍 Slide 9 – 🔐 Argo CD Best Practices - Production-Ready Patterns + +* ✅ **Use Annotation Tracking (Not Label Tracking)** +```yaml +# In argocd-cm ConfigMap +apiVersion: v1 +kind: ConfigMap +metadata: + name: argocd-cm +data: + application.resourceTrackingMethod: annotation # Default: label +``` +**Why**: Labels limited to 63 chars, causes false Out-of-Sync for operator-created resources + +* 🏢 **Never Use Default AppProject** +```yaml +# ❌ Bad: Using default project +spec: + project: default + +# ✅ Good: Create dedicated projects +apiVersion: argoproj.io/v1alpha1 +kind: AppProject +metadata: + name: team-backend +spec: + sourceRepos: + - 'https://github.com/company/backend-*' + destinations: + - namespace: 'backend-*' + server: https://kubernetes.default.svc + clusterResourceWhitelist: + - group: '' + kind: Namespace +``` + +* 🔐 **Implement RBAC per AppProject** +```yaml +apiVersion: argoproj.io/v1alpha1 +kind: AppProject +metadata: + name: team-backend +spec: + # ... other config ... + roles: + - name: developer + description: Developer role for backend team + policies: + - p, proj:team-backend:developer, applications, get, team-backend/*, allow + - p, proj:team-backend:developer, applications, sync, team-backend/*, allow + groups: + - backend-developers # OIDC group +``` + +* 📋 **Manifest Validation - Lint Before Sync** +```yaml +# In Application spec +spec: + syncPolicy: + syncOptions: + - Validate=true # Server-side validation +``` + +**Pre-commit hook for local validation:** +```bash +#!/bin/bash +# .git/hooks/pre-commit + +# Validate YAML syntax +yamllint k8s/ + +# Validate Kubernetes manifests +kubeval k8s/**/*.yaml + +# Kustomize build check +kustomize build k8s/overlays/prod +``` + +* 🕐 **Sync Windows - Maintenance Blackouts** +```yaml +apiVersion: argoproj.io/v1alpha1 +kind: AppProject +metadata: + name: production +spec: + syncWindows: + - kind: deny + schedule: '0 22 * * *' # 10 PM daily + duration: 6h # Until 4 AM + applications: + - '*' # All apps + manualSync: true # Allow manual sync during blackout +``` + +* 🌊 **Progressive Sync - Sync Waves** +```yaml +# Deploy database first, then application +apiVersion: v1 +kind: ConfigMap +metadata: + name: database-config + annotations: + argocd.argoproj.io/sync-wave: "-1" # Deploy first +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: backend-app + annotations: + argocd.argoproj.io/sync-wave: "0" # Deploy second +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: frontend-app + annotations: + argocd.argoproj.io/sync-wave: "1" # Deploy last +``` + +* 🪝 **Sync Hooks - Pre/Post Actions** +```yaml +apiVersion: batch/v1 +kind: Job +metadata: + name: database-migration + annotations: + argocd.argoproj.io/hook: PreSync # Run before sync + argocd.argoproj.io/hook-delete-policy: HookSucceeded # Cleanup on success +spec: + template: + spec: + containers: + - name: migrate + image: migrate/migrate + command: ["migrate", "up"] + restartPolicy: Never +``` + +**Available Hooks**: +- **PreSync**: Before manifest application +- **Sync**: During sync operation +- **PostSync**: After all resources healthy +- **SyncFail**: On sync failure +- **Skip**: Skip resource during sync + +* 📊 **Monitoring & Alerting** +```yaml +# Prometheus ServiceMonitor +apiVersion: monitoring.coreos.com/v1 +kind: ServiceMonitor +metadata: + name: argocd-metrics +spec: + selector: + matchLabels: + app.kubernetes.io/name: argocd-metrics + endpoints: + - port: metrics +``` + +**Key Metrics to Monitor**: +- `argocd_app_sync_total` - Total sync operations +- `argocd_app_health_status` - Application health (0=Healthy) +- `argocd_app_sync_status` - Sync status (0=Synced) +- `argocd_git_request_duration_seconds` - Git fetch latency +- `argocd_kubectl_exec_duration_seconds` - kubectl exec time + +* 🚨 **Slack/Teams Notifications** +```yaml +# In argocd-notifications-cm ConfigMap +apiVersion: v1 +kind: ConfigMap +metadata: + name: argocd-notifications-cm +data: + service.slack: | + token: $slack-token + trigger.on-deployed: | + - when: app.status.operationState.phase in ['Succeeded'] + send: [app-deployed] + template.app-deployed: | + message: | + Application {{.app.metadata.name}} deployed successfully! + Revision: {{.app.status.sync.revision}} +``` + +* 🎯 **Best Practices Checklist**: + * ✅ Use annotation tracking (Argo CD 2.8+) + * ✅ Create AppProjects for logical grouping + * ✅ Implement RBAC per project/team + * ✅ Filter extraneous operator-created resources + * ✅ Validate manifests before merge (CI checks) + * ✅ Use sync windows for maintenance + * ✅ Order deployments with sync waves + * ✅ Add pre/post sync hooks for migrations + * ✅ Monitor with Prometheus + Grafana + * ✅ Set up Slack/Teams notifications + * ✅ Enable HA mode for production (3+ replicas) + * ✅ Backup Argo CD configuration regularly + +🔗 **Resources:** +* [Argo CD Best Practices](https://argo-cd.readthedocs.io/en/stable/user-guide/best_practices/) +* [Red Hat GitOps Best Practices](https://developers.redhat.com/articles/2025/03/05/openshift-gitops-recommended-practices) +* [Sync Waves & Hooks](https://argo-cd.readthedocs.io/en/stable/user-guide/sync-waves/) +* [Argo CD Notifications](https://argocd-notifications.readthedocs.io/) + +--- + +### 🎭 **Interactive Break #2: "Argo CD Speed Run Challenge"** ⚡ + +**🏃 Can You Deploy an App in 60 Seconds?** + +*Time for a live demo! Let's see how fast we can go from Git commit to running application!* + +--- + +**🎯 The Challenge:** + +Starting Point: +- ✅ Argo CD installed +- ✅ Git repo ready +- ✅ Kubernetes cluster running + +**Goal**: Deploy a simple nginx app in under 60 seconds! + +--- + +**📊 Speedrun Leaderboard:** + +| Rank | Method | Time | Difficulty | +|------|--------|------|------------| +| 🥇 | argocd CLI + auto-sync | 30s | Easy | +| 🥈 | UI click + auto-sync | 45s | Medium | +| 🥉 | Manual kubectl | 5min | Hard | +| 💀 | SSH to server + copy files | 30min | Nightmare | + +--- + +**🤔 Discussion Questions:** + +1. **What made this so fast?** + - Auto-sync enabled + - Manifests already validated + - No manual approval needed + - Argo CD handles all kubectl commands + +2. **Could it be even faster?** + - Pre-pull container images + - Use ApplicationSets for multiple apps + - Optimize sync options + +3. **What if something breaks?** + - `argocd app rollback speedrun-nginx` + - Literally 5 seconds to rollback! + +--- + +**😱 Horror Story Time:** + +**"The 4-Hour Deployment"** + +*Before Argo CD at Company X:* +- 📋 Fill deployment ticket → 30 min +- ⏳ Wait for approval → 2 hours +- 🔐 Get VPN + kubectl access → 30 min +- 📝 Copy YAML to jumpbox → 15 min +- ⌨️ kubectl apply manually → 10 min +- 🐛 Fix typo in YAML → 15 min +- 🔄 Apply again → 10 min +- ✅ Verify deployment → 10 min +- **Total: 4+ hours** 😭 + +*After Argo CD:* +- ✅ Merge PR → Auto-deployed in 30 seconds +- 🎉 Coffee still hot! ☕ + +--- + +## 📍 Slide 10 – 🎯 What is Progressive Delivery? - Beyond Basic Deployments + +* 🚀 **Progressive Delivery** = Controlled, gradual rollout of changes with automated validation and rollback capabilities +* 🎯 **Core Idea**: Deploy to production incrementally, validate at each step, minimize blast radius +* 📊 **Evolution**: Blue-Green (instant switch) → Canary (gradual %) → Progressive (automated decisions) +* 🛡️ **Key Principle**: Catch issues with small user subset before affecting everyone +* 📈 **Adoption**: 56% of K8s users in 2024, up from 23% in 2021 + +**Progressive Delivery vs Traditional Deployment** +```mermaid +flowchart TD + subgraph "❌ Traditional Deployment" + Old1["📦 v1.0
100% traffic"] -->|"🚀 Deploy v2.0"| Old2["⚠️ v2.0
100% traffic
All users affected"] + Old2 -->|"❌ Bug discovered"| Old3["🔥 Incident
Everyone impacted"] + end + + subgraph "✅ Progressive Delivery" + New1["📦 v1.0
100% traffic"] -->|"🎯 Deploy v2.0"| New2["📊 v2.0: 5%
v1.0: 95%
Small subset"] + New2 -->|"✅ Metrics OK"| New3["📊 v2.0: 50%
v1.0: 50%"] + New3 -->|"✅ Metrics OK"| New4["✅ v2.0: 100%
Full rollout"] + New2 -->|"❌ Errors detected"| New5["🔄 Rollback
Back to v1.0"] + end + + style Old2 fill:#fadbd8,stroke:#2c3e50,color:#2c3e50 + style Old3 fill:#fadbd8,stroke:#2c3e50,color:#2c3e50 + style New2 fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style New3 fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style New4 fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +🔗 **Resources:** +* [Progressive Delivery Explained (Split.io)](https://www.split.io/glossary/progressive-delivery/) +* [CNCF Progressive Delivery Whitepaper](https://github.com/cncf/tag-app-delivery) +* [Netflix Progressive Delivery](https://netflixtechblog.com/) + +--- + +## 📍 Slide 11 – 🔄 Deployment Strategies - Canary, Blue-Green, A/B Testing + +* 🎨 **Deployment Strategy** = Method for releasing new application versions to minimize risk and downtime +* 🔄 **Common Strategies**: Blue-Green, Canary, A/B Testing, Rolling, Shadow/Mirror +* 🎯 **Selection Criteria**: Risk tolerance, rollback speed, infrastructure cost, user impact + +**🔵🟢 Blue-Green Deployment** + +* 💡 **Concept**: Two identical environments (Blue = current, Green = new), instant traffic switch +* 🔀 **Process**: + 1. Deploy new version to Green (idle) environment + 2. Run tests on Green + 3. Switch traffic from Blue to Green (instant cutover) + 4. Keep Blue for quick rollback + +```mermaid +flowchart LR + LB["⚖️ Load Balancer"] -->|"100% traffic"| Blue["🔵 Blue Environment
v1.0 (Current)"] + Green["🟢 Green Environment
v2.0 (New)
⏸️ Idle"] + + LB2["⚖️ Load Balancer"] -.->|"Switch traffic"| Blue2["🔵 Blue
v1.0
⏸️ Standby"] + LB2 -->|"100% traffic"| Green2["🟢 Green
v2.0
✅ Active"] + + style Blue fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style Green fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style Green2 fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +* ✅ **Pros**: Instant rollback, zero downtime, easy testing +* ❌ **Cons**: 2x infrastructure cost, database migrations complex, all users affected at once +* 🎯 **Best For**: Low-risk apps, need fast rollback, can afford dual infra + +--- + +**🕯️ Canary Deployment** + +* 💡 **Concept**: Gradually shift traffic % from old to new version (named after "canary in coal mine") +* 🔀 **Process**: + 1. Deploy new version alongside old + 2. Route 5% traffic to new (canary) + 3. Monitor metrics (errors, latency, saturation) + 4. Gradually increase: 5% → 10% → 25% → 50% → 100% + 5. Rollback at any point if metrics fail + +```mermaid +flowchart LR + Stage1["📊 Stage 1
v1.0: 95%
v2.0: 5%"] --> Stage2["📊 Stage 2
v1.0: 75%
v2.0: 25%"] + Stage2 --> Stage3["📊 Stage 3
v1.0: 50%
v2.0: 50%"] + Stage3 --> Stage4["✅ Stage 4
v2.0: 100%
Complete"] + + Stage1 -.->|"❌ Metrics fail"| Rollback["🔄 Rollback
v1.0: 100%"] + Stage2 -.->|"❌ Metrics fail"| Rollback + Stage3 -.->|"❌ Metrics fail"| Rollback + + style Stage1 fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style Stage2 fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style Stage3 fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style Stage4 fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style Rollback fill:#fadbd8,stroke:#2c3e50,color:#2c3e50 +``` + +* ✅ **Pros**: Minimal user impact, automated metrics, gradual confidence building +* ❌ **Cons**: Slower rollout, requires metrics infrastructure, session issues +* 🎯 **Best For**: High-risk changes, microservices, need automated validation + +--- + +**🧪 A/B Testing (Experiments)** + +* 💡 **Concept**: Route specific user segments to different versions based on attributes (cookies, headers, user ID) +* 🔀 **Process**: + 1. Split users into groups (A = control, B = variant) + 2. Route based on user attributes (header, cookie, ID hash) + 3. Measure business metrics (conversion, revenue, engagement) + 4. Statistical significance analysis + 5. Winner becomes new baseline + +```mermaid +flowchart LR + Users["👥 All Users"] --> Router["🔀 Smart Router
Header/Cookie matching"] + Router -->|"Group A
50% users"| VersionA["📦 Version A
Current checkout"] + Router -->|"Group B
50% users"| VersionB["📦 Version B
New checkout flow"] + + VersionA --> Metrics["📊 Analytics
Compare metrics"] + VersionB --> Metrics + Metrics --> Decision["🎯 Choose Winner
Statistical significance"] + + style Router fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style VersionA fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style VersionB fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style Decision fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 +``` + +* ✅ **Pros**: Business metric validation, session affinity, data-driven decisions +* ❌ **Cons**: Requires analytics platform, longer duration, complex routing +* 🎯 **Best For**: Feature testing, UX changes, business metric optimization + +--- + +**🌊 Traffic Mirroring (Shadow Deployment)** + +* 💡 **Concept**: Duplicate (mirror) production traffic to new version without affecting users +* 🔀 **Process**: + 1. Deploy new version + 2. Send copy of all requests to new version + 3. Only old version returns responses to users + 4. Monitor new version logs, errors, performance + 5. Switch traffic once validated + +* ✅ **Pros**: Zero user impact, test with real traffic, validate before switching +* ❌ **Cons**: Only works for idempotent operations, double infrastructure load +* 🎯 **Best For**: Read-only APIs, testing performance, validating refactors + +--- + +**🔄 Rolling Update (Kubernetes Native)** + +* 💡 **Concept**: Replace pods one-by-one or in small batches +* 🔀 **Process**: K8s terminates old pod, starts new pod, repeats until all replaced +* ✅ **Pros**: Built into K8s, no extra tools, zero downtime +* ❌ **Cons**: Both versions running simultaneously, slow rollback +* 🎯 **Best For**: Simple deployments, low-risk changes, no special routing needed + +--- + +**📊 Strategy Comparison Matrix** + +| Strategy | 🎯 Risk | 🚀 Rollback Speed | 💰 Cost | 🔧 Complexity | 🎯 Use Case | +|----------|---------|------------------|---------|--------------|-------------| +| **Blue-Green** | Medium | ⚡ Instant | 💰💰 High | 🟢 Simple | Need fast rollback | +| **Canary** | Low | ⚡ Fast | 💰 Medium | 🟡 Moderate | Production validation | +| **A/B Test** | Low | 🐢 Slow | 💰 Medium | 🔴 Complex | Business metrics | +| **Rolling** | Medium | 🐢 Slow | 💰 Low | 🟢 Simple | Simple deployments | +| **Shadow** | Very Low | 🐢 N/A | 💰💰 High | 🟡 Moderate | Pre-production test | + +* 🎯 **Choosing the Right Strategy**: + * **High Risk Change** → Canary with automated metrics + * **Need Instant Rollback** → Blue-Green + * **Testing Business Impact** → A/B Testing + * **Low Risk Update** → Rolling update + * **Validating Refactor** → Shadow deployment + +🔗 **Resources:** +* [Deployment Strategies Explained](https://www.weave.works/blog/deployment-strategies) +* [Flagger Deployment Strategies](https://fluxcd.io/flagger/usage/deployment-strategies/) +* [Martin Fowler - BlueGreenDeployment](https://martinfowler.com/bliki/BlueGreenDeployment.html) + +--- + +## 📍 Slide 12 – 📊 Observability & Metrics for Progressive Delivery + +* 📈 **Observability** = Ability to understand system state through data (logs, metrics, traces) +* 🎯 **Purpose**: Automated decision-making for promotion/rollback during progressive delivery +* 🔑 **Key Concept**: Without metrics, progressive delivery is just slow deployment + +**The Three Pillars of Observability** +```mermaid +flowchart LR + subgraph "📊 Metrics" + M1["📈 Time-series data
CPU, latency, errors
Prometheus"] + end + + subgraph "📖 Logs" + L1["📝 Event records
Application logs
ELK, Loki"] + end + + subgraph "🧵 Traces" + T1["🔗 Request flow
Distributed tracing
Jaeger, Tempo"] + end + + M1 --> Decision["🤖 Automated Decision
Promote or Rollback"] + L1 --> Decision + T1 --> Decision + + style M1 fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style L1 fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style T1 fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style Decision fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +* 🌟 **Golden Signals (Google SRE)**: + 1. 📊 **Latency**: How long requests take (P50, P95, P99 percentiles) + 2. 🚦 **Traffic**: Request rate (requests per second) + 3. ❌ **Errors**: Failure rate (% of failed requests) + 4. 💾 **Saturation**: Resource utilization (CPU, memory, disk) + +* 🔴 **RED Metrics (Request-focused)**: + * **Rate**: Requests per second + * **Errors**: Error rate (% or count) + * **Duration**: Latency (P95, P99) + +**Perfect for HTTP services, simpler than Golden Signals** + +🔗 **Resources:** +* [Prometheus Query Examples](https://prometheus.io/docs/prometheus/latest/querying/examples/) +* [Google SRE Book - Monitoring](https://sre.google/sre-book/monitoring-distributed-systems/) +* [RED Method Explained](https://www.weave.works/blog/the-red-method-key-metrics-for-microservices-architecture/) +* [Grafana Canary Dashboards](https://grafana.com/grafana/dashboards/) + +--- + +### 🎭 **Interactive Break #3: "Deployment Strategy Selector"** 🎮 + +**🕹️ Interactive Decision Tree Game!** + +*Let's play a game to choose the best deployment strategy for different scenarios!* + +--- + +**🎯 Scenario 1: E-commerce Checkout Redesign** + +*Context:* +- 💳 New checkout flow with payment provider change +- 💰 $10M daily revenue at stake +- 📊 Need to measure conversion rate impact +- 👥 1M daily active users + +**What strategy do you choose?** + +A) 🔵🟢 Blue-Green (instant switch) +B) 🕯️ Canary (gradual %) +C) 🧪 A/B Test (user segments) +D) 🔄 Rolling Update + +
+Click for answer & explanation + +**✅ Answer: C) A/B Test** + +**Why:** +- 📊 Need to measure business metrics (conversion rate) +- 💰 High revenue impact requires statistical validation +- 🎯 Session affinity needed (checkout is multi-step) +- 👥 Enough users for statistical significance + +**Wrong Answers:** +- ❌ Blue-Green: All users affected at once, can't measure relative performance +- ❌ Canary: Random users, breaks checkout session flow +- ❌ Rolling: No validation, risky for revenue-critical change + +
+ +--- + +**🎯 Scenario 2: Critical Security Patch** + +*Context:* +- 🔒 CVE announced, need to patch NOW +- ⏱️ Under attack, time is critical +- ✅ Patch already tested in staging +- 🎯 Need instant rollback if issues + +**What strategy do you choose?** + +A) 🔵🟢 Blue-Green +B) 🕯️ Canary with automated metrics +C) 🧪 A/B Test +D) 🌊 Shadow deployment first + +
+Click for answer & explanation + +**✅ Answer: A) Blue-Green** + +**Why:** +- ⚡ Instant rollback if patch breaks something +- 🚀 Fast deployment (already tested) +- 🔒 Security issues require immediate action +- 🎯 Can validate on Green before switching + +**Wrong Answers:** +- ❌ Canary: Too slow for security emergency +- ❌ A/B Test: Not needed, already tested +- ❌ Shadow: Time wasted, need to deploy NOW + +
+ +--- + +**🎯 Scenario 3: Microservice API Refactor** + +*Context:* +- 🔧 Internal API, no user-facing changes +- 📊 Want to validate performance improvements +- 🤝 20 downstream services depend on it +- ⚠️ Concerned about unexpected edge cases + +**What strategy do you choose?** + +A) 🔵🟢 Blue-Green +B) 🕯️ Canary with 5% → 100% progression +C) 🌊 Traffic Mirroring (Shadow) +D) 🔄 Rolling Update + +
+Click for answer & explanation + +**✅ Answer: C) Traffic Mirroring then B) Canary** + +**Why:** +- 🌊 Shadow first: Test with real traffic, zero impact +- 🕯️ Then Canary: Gradual rollout after validation +- 📊 Validate performance with real requests +- 🛡️ Catch edge cases before affecting clients + +**Alternative: B) Canary alone** if confident in tests + +
+ +--- + +**🎯 Scenario 4: Simple Configuration Change** + +*Context:* +- ⚙️ Just updating timeout values in ConfigMap +- ✅ Already validated in dev/staging +- 📉 Low risk change +- 🚀 Need to deploy to 50 clusters + +**What strategy do you choose?** + +A) 🔵🟢 Blue-Green +B) 🕯️ Canary +C) 🔄 Rolling Update (GitOps sync) +D) 🌊 Traffic Mirroring + +
+Click for answer & explanation + +**✅ Answer: C) Rolling Update via GitOps** + +**Why:** +- 📉 Low risk = don't over-engineer +- 🎯 GitOps handles multi-cluster automatically +- 💰 No need for complex infrastructure +- ⚡ Fast enough for config changes + +**Wrong Answers:** +- ❌ Blue-Green/Canary: Overkill for config change +- ❌ Shadow: Waste of resources + +
+ +--- + +**🏆 Deployment Strategy Cheat Sheet** + +``` +┌─────────────────────────────────────────────────┐ +│ Choose Blue-Green if: │ +│ ✅ Need instant rollback │ +│ ✅ Can afford 2x infrastructure │ +│ ✅ Security patches or critical fixes │ +└─────────────────────────────────────────────────┘ + +┌─────────────────────────────────────────────────┐ +│ Choose Canary if: │ +│ ✅ High-risk changes │ +│ ✅ Want automated validation │ +│ ✅ Microservices architecture │ +│ ✅ Need progressive confidence building │ +└─────────────────────────────────────────────────┘ + +┌─────────────────────────────────────────────────┐ +│ Choose A/B Test if: │ +│ ✅ Testing business metrics │ +│ ✅ Need session affinity │ +│ ✅ UX/feature experiments │ +│ ✅ Have analytics infrastructure │ +└─────────────────────────────────────────────────┘ + +┌─────────────────────────────────────────────────┐ +│ Choose Rolling if: │ +│ ✅ Low-risk changes │ +│ ✅ Simple deployments │ +│ ✅ Budget-constrained │ +│ ✅ Kubernetes native approach OK │ +└─────────────────────────────────────────────────┘ +``` + +**💡 Pro Tip:** Most teams start with Rolling, graduate to Canary, and use Blue-Green for emergencies! + +--- + +## 📍 Slide 13 – 🎭 Argo Rollouts - Progressive Delivery Powerhouse + +* 🎯 **Argo Rollouts** = Kubernetes controller providing advanced deployment capabilities (Canary, Blue-Green, experiments) +* 🔄 **Relationship**: Part of Argo Project family, complements Argo CD +* 📦 **Core Resource**: `Rollout` CRD - drop-in replacement for Deployment +* 🚦 **Traffic Management**: Integrates with service meshes (Istio, Linkerd) and ingress (NGINX, ALB, Traefik) +* 📊 **Analysis**: AnalysisTemplate CRD for automated metric evaluation + +**Argo Rollouts Architecture** +```mermaid +flowchart LR + Rollout["📦 Rollout CRD
Defines strategy"] --> Controller["🎯 Rollouts Controller
Manages rollout"] + Controller --> RS1["📦 ReplicaSet
Stable (v1.0)"] + Controller --> RS2["📦 ReplicaSet
Canary (v2.0)"] + + Controller --> Analysis["📊 AnalysisRun
Metrics evaluation"] + Analysis --> Prom["📈 Prometheus
Query metrics"] + + Controller --> TrafficRouter["🚦 Traffic Router
Istio/NGINX/ALB"] + TrafficRouter -->|"95%"| RS1 + TrafficRouter -->|"5%"| RS2 + + style Rollout fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style Controller fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style Analysis fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style TrafficRouter fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +🔗 **Resources:** +* [Argo Rollouts Documentation](https://argoproj.github.io/argo-rollouts/) +* [Argo Rollouts GitHub](https://github.com/argoproj/argo-rollouts) +* [Argo Rollouts Examples](https://github.com/argoproj/rollouts-demo) + +--- + +## 📍 Slide 14 – 🚢 Flagger - Automated Progressive Delivery + +* 🚀 **Flagger** = Progressive delivery operator for Kubernetes (CNCF Flux sub-project) +* 🎯 **Design Philosophy**: Extensible, service mesh-first, GitOps-native +* 📦 **Core Resource**: `Canary` CRD defining rollout strategy +* 🔌 **Integrations**: Service meshes (Istio, Linkerd, App Mesh, Kuma, OSM) + Ingress controllers +* 🪝 **Webhooks**: Pre-rollout, during-rollout, post-rollout custom actions + +**Flagger Architecture** +```mermaid +flowchart LR + Canary["📦 Canary CRD
Deployment spec"] --> Operator["🚀 Flagger Operator
Watches Canary"] + Operator --> Primary["🟢 Primary Deploy
Stable version"] + Operator --> CanaryDeploy["🟡 Canary Deploy
New version"] + + Operator --> Metrics["📊 Metrics Server
Prometheus query"] + Operator --> Webhook["🪝 Webhooks
Load tests, notifications"] + + Operator --> Router["🚦 Service Mesh
Istio/Linkerd/etc"] + Router -->|"95%"| Primary + Router -->|"5%"| CanaryDeploy + + style Canary fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style Operator fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style Metrics fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style Router fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +🔗 **Resources:** +* [Flagger Documentation](https://fluxcd.io/flagger/) +* [Flagger GitHub](https://github.com/fluxcd/flagger) +* [Flagger Tutorials](https://fluxcd.io/flagger/tutorials/) +* [Flagger vs Argo Rollouts](https://buoyant.io/blog/flagger-vs-argo-rollouts-vs-service-meshes) + +--- + +## 📍 Slide 15 – 🎯 Feature Flags & Experimentation + +* 🎯 **Feature Flags** = Runtime toggles to enable/disable features without redeployment +* 🔑 **Key Concept**: Decouple **deployment** (code push) from **release** (feature activation) +* 💡 **Use Cases**: Progressive rollout, A/B testing, kill switches, canary releases +* 📈 **Adoption**: 65% of high-performing teams use feature flags (DevOps Report 2024) + +**Feature Flags in Action** +```mermaid +flowchart LR + Deploy["🚀 Deploy v2.0
New code deployed
Flag OFF"] --> Flag["🎯 Feature Flag Service
Centralized control"] + Flag -->|"5% users"| EnabledUsers["✅ Feature ON
5% see new UI"] + Flag -->|"95% users"| DisabledUsers["❌ Feature OFF
95% see old UI"] + + EnabledUsers --> Metrics["📊 Monitor Metrics"] + Metrics -->|"Success"| Increase["📈 Increase to 50%"] + Metrics -->|"Failure"| Disable["🔴 Disable Flag
Instant rollback"] + + style Deploy fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style Flag fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style EnabledUsers fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 + style DisabledUsers fill:#fadbd8,stroke:#2c3e50,color:#2c3e50 +``` + +* 🎯 **Popular Feature Flag Platforms**: + +| Platform | Type | Best For | +|----------|------|----------| +| 🚀 **LaunchDarkly** | SaaS | Enterprise, feature-rich | +| 🏴 **Flagsmith** | Open-source | Self-hosted, cost-effective | +| 🎉 **Unleash** | Open-source | Developer-friendly | +| 🔮 **Split.io** | SaaS | Experimentation focus | +| 🎯 **OpenFeature** | Standard | Vendor-neutral SDK | +| ⚙️ **ConfigCat** | SaaS | Simple, affordable | + +* 🧪 **Progressive Rollout with Flags**: + +``` +Day 1: Deploy code (flag OFF) → 0% users affected +Day 2: Enable flag for 5% → Monitor metrics +Day 3: Increase to 25% → No issues +Day 5: Increase to 50% → All good +Day 7: Increase to 100% → Full rollout +Day 14: Remove flag from code → Cleanup +``` + +* 🎯 **Best Practices**: + * ✅ Keep flags short-lived (remove after rollout) + * ✅ Use naming conventions (e.g., `exp_`, `kill_`, `perm_`) + * ✅ Document flag purpose and owner + * ✅ Set expiration dates + * ✅ Monitor flag evaluation latency + * ✅ Use SDKs with local caching + * ❌ Don't nest flags deeply (complexity explosion) + * ❌ Don't use flags for config (use ConfigMaps) + +🔗 **Resources:** +* [OpenFeature (CNCF)](https://openfeature.dev/) +* [Feature Flag Best Practices](https://martinfowler.com/articles/feature-toggles.html) +* [LaunchDarkly](https://launchdarkly.com/) +* [Flagsmith](https://flagsmith.com/) +* [Unleash](https://www.getunleash.io/) + +--- + +### 🎭 **Interactive Break #4: "Progressive Delivery Horror Stories"** 👻 + +**🔥 When Progressive Delivery Goes Wrong!** + +*Time to learn from spectacular failures! These are REAL stories (names changed to protect the guilty)* + +--- + +**Horror Story #1: "The Canary that Ate Black Friday"** 🐦 + +*Company:* Major e-commerce platform +*Date:* Black Friday, 3:00 AM + +**What Happened:** +- 🚀 Deployed new checkout service with 5% canary +- 📊 Metrics looked good: 99.5% success rate +- 🔺 Increased to 50% at 3 AM (low traffic time) +- 🔥 At 8 AM (peak traffic), entire checkout collapsed +- 💰 $5M lost revenue in 45 minutes + +**Root Cause:** +- ⚠️ Canary tested during low traffic +- 💥 New code had memory leak under high load +- 🐛 Leak only manifested at 1000+ req/sec +- 🐢 Rollback took 45 min (hadn't practiced) + +**Lessons Learned:** +``` +✅ Load test canary at PEAK traffic levels +✅ Test rollback procedures regularly +✅ Monitor memory/CPU, not just request metrics +✅ Don't increase canary during low-traffic windows +✅ Have automated rollback on resource exhaustion +``` + +--- + +**Horror Story #2: "The Feature Flag that Never Died"** 🧟 + +*Company:* SaaS startup +*Timeline:* 3 years of technical debt + +**What Happened:** +- 🎯 Created feature flag for "new dashboard" (2021) +- 📈 Rolled out to 100% by end of 2021 +- 🤦 Never removed flag from code +- 💸 Flag service subscription: $800/month +- 🔍 2024 audit: 47 flags, only 3 actively used + +**Technical Debt:** +```python +# Code in 2024 still had this: +if feature_flag.enabled("new_dashboard_2021"): + return new_dashboard() # Always true +else: + return old_dashboard() # Dead code +``` + +**Cost:** +- 💰 $28,800 in unnecessary subscriptions (3 years) +- ⏱️ 200 hours of developer time dealing with flag complexity +- 🐛 12 bugs from flag interaction issues + +**Lessons Learned:** +``` +✅ Set expiration dates for flags +✅ Quarterly flag cleanup sprints +✅ Automated flag usage detection +✅ Remove flag after 100% for 2 weeks +✅ Document flag lifecycle in ADRs +``` + +--- + +**Horror Story #3: "Metrics Lie (Sometimes)"** 🤥 + +*Company:* Fintech payment processor +*Date:* Random Tuesday + +**What Happened:** +- 🚀 Canary rollout of payment processing service +- 📈 Metrics: 99.9% success rate ✅ +- 🔺 Promoted to 100% confidently +- 📧 Next day: 10,000 support tickets +- 😱 Payments succeeded but wrong amounts charged + +**Root Cause:** +- ✅ HTTP 200 responses (success) +- 💰 But amount calculated wrong (off-by-one error) +- 💡 Monitored HTTP status, not business logic +- 🤦 Canary percentage too low to notice pattern + +**Lessons Learned:** +``` +✅ Monitor business metrics, not just technical +✅ Validate data correctness, not just HTTP codes +✅ Implement synthetic transactions with known results +✅ Have humans review canary data samples +✅ Add checksums/validation to critical calculations +``` + +--- + +**Horror Story #4: "The Self-Healing Doomsday Loop"** ♻️ + +*Company:* Social media platform +*Date:* Midnight deployment + +**What Happened:** +- 🚀 Auto-sync enabled in Argo CD +- 🐛 Deployed config with typo: `replicas: 0` +- 🔄 GitOps saw 3 pods running, deleted them +- ⚠️ Alert triggered: "All pods down!" +- 👨‍💻 Engineer fixed manually: `kubectl scale` +- 🔁 GitOps: "Drift detected! Scaling back to 0" +- 🔄 This repeated for 45 minutes + +**Root Cause:** +- 🤦 Fought with automation instead of fixing Git +- 💡 Finally realized: Fix the source (Git), not the cluster + +**Lessons Learned:** +``` +✅ ALWAYS fix Git first in GitOps +✅ Have emergency "pause sync" procedure +✅ Validate manifests in CI before merge +✅ Don't fight automation - it will win +✅ Practice incident response for GitOps scenarios +``` + +--- + +**🤔 Discussion Questions:** + +1. **What's YOUR deployment horror story?** +2. **Have you ever fought with automation and lost?** +3. **What's the longest-lived feature flag in your codebase?** +4. **Ever had "successful" metrics but angry customers?** + +--- + +**📊 The Deployment Horror Story Bingo** + +``` +┌─────────────────────────────────────────────┐ +│ Deployed on | Metrics lied | Flag cleanup | +│ Friday 5PM | to you | debt | +├───────────────┼───────────────┼───────────────┤ +│ Fought with | FREE SPACE! | Canary killed | +│ GitOps | (🚀) | Black Friday | +├───────────────┼───────────────┼───────────────┤ +│ Rollback took | No rollback | Tested in | +│ 45 minutes | plan | low traffic | +└───────────────┴───────────────┴───────────────┘ +``` + +How many can you check off? 😅 + +**💡 Remember:** We learn more from failures than successes. Every horror story makes us better engineers! + +--- + +## 📍 Slide 16 – 🔐 Security & Compliance in GitOps + +* 🔒 **GitOps Security Model**: Git + Automation = New attack surface requiring new security practices +* 🎯 **Principle**: Security shifts left (Git repo) and right (cluster monitoring) +* 🛡️ **Key Areas**: Secrets management, access control, policy enforcement, audit trails + +**GitOps Security Architecture** +```mermaid +flowchart LR + subgraph "🔐 Git Security" + Git["📚 Git Repository"] --> Branch["🔒 Branch Protection
Required reviews
Status checks"] + Branch --> Scan["🔍 Security Scan
SAST, secrets detection"] + end + + subgraph "🔐 Cluster Security" + Operator["🤖 GitOps Operator"] --> RBAC["🚪 RBAC
Least privilege"] + RBAC --> Policy["📜 Policy Enforcement
OPA, Kyverno"] + Policy --> Audit["📊 Audit Logs
All changes tracked"] + end + + Scan --> Operator + + style Git fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style Operator fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style Policy fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +* ⚠️ **Common Security Pitfalls**: + * ❌ Committing secrets to Git (even if private repo) + * ❌ Over-privileged service accounts + * ❌ No pod security policies/standards + * ❌ Trusting images from public registries + * ❌ No network policies (pods can talk to everything) + * ❌ Ignoring supply chain security (SBOM) + +* ✅ **Security Checklist**: + * ✅ Secrets encrypted in Git (Sealed Secrets/SOPS) + * ✅ Branch protection enabled + * ✅ Required code reviews for changes + * ✅ RBAC with least privilege + * ✅ Admission controllers (OPA/Kyverno) + * ✅ Image scanning in CI (Trivy, Snyk) + * ✅ Image signing (Cosign, Notary) + * ✅ Network policies for isolation + * ✅ Audit logging enabled + * ✅ Regular security audits + +🔗 **Resources:** +* [Sealed Secrets](https://github.com/bitnami-labs/sealed-secrets) +* [External Secrets Operator](https://external-secrets.io/) +* [OPA Documentation](https://www.openpolicyagent.org/) +* [Kyverno Policies](https://kyverno.io/policies/) +* [CNCF Security Whitepaper](https://github.com/cncf/tag-security/tree/main/security-whitepaper) + +--- + +## 📍 Slide 17 – ⚙️ CI/CD Integration - The Complete Pipeline + +* 🔀 **CI/CD + GitOps Pattern**: CI builds artifacts, GitOps deploys them +* 🎯 **Separation of Concerns**: Build/test vs deploy/operate +* 📦 **Key Pattern**: CI pushes to Git (config repo), GitOps pulls from Git + +**Complete CI/CD + GitOps Flow** +```mermaid +flowchart LR + Dev["👨‍💻 Developer
Code change"] --> AppRepo["📚 App Repo
Source code"] + AppRepo --> CI["⚙️ CI Pipeline
Build + Test"] + CI --> Registry["🐳 Container Registry
Image: v1.2.3"] + CI --> UpdateManifest["📝 Update Manifest
Image tag in Git"] + UpdateManifest --> ConfigRepo["📦 Config Repo
K8s manifests"] + + ConfigRepo --> ArgoCD["🚀 Argo CD
Detects change"] + ArgoCD --> Deploy["✅ Deploy
To K8s cluster"] + + style CI fill:#fef5e7,stroke:#2c3e50,color:#2c3e50 + style ConfigRepo fill:#e8f4f8,stroke:#2c3e50,color:#2c3e50 + style ArgoCD fill:#f4ecf7,stroke:#2c3e50,color:#2c3e50 + style Deploy fill:#d5f4e6,stroke:#2c3e50,color:#2c3e50 +``` + +* 📊 **CI/CD Best Practices**: + * ✅ Separate app repo from config repo + * ✅ Use immutable image tags (SHA, not "latest") + * ✅ Validate manifests in CI (kubeval, kube-linter) + * ✅ Sign images (Cosign) for supply chain security + * ✅ Generate SBOM (Software Bill of Materials) + * ✅ Test in ephemeral preview environments + * ✅ Progressive promotion (dev → staging → prod) + * ✅ Automated rollback on failure + +🔗 **Resources:** +* [Argo CD Image Updater](https://argocd-image-updater.readthedocs.io/) +* [GitHub Actions for Kubernetes](https://github.com/marketplace?type=actions&query=kubernetes) +* [GitOps with GitLab](https://docs.gitlab.com/ee/user/clusters/agent/gitops.html) + +--- + +## 📍 Slide 18 – 🎉 Real-World Case Studies & Future Trends + +* 🏆 **Success Stories from Industry Leaders** + +**🏦 Intuit - GitOps at Enterprise Scale** + +*Context:* Financial software company, 10K+ employees + +**Journey:** +- 📅 **2018**: Started with Argo CD for 50 services +- 📅 **2020**: Scaled to 1000+ applications, 200 clusters +- 📅 **2024**: 10,000+ applications, 2000+ clusters + +**Results:** +- ⏱️ Deployment time: **4 hours → 15 minutes** (94% reduction) +- 📊 Deploy frequency: **Weekly → Daily** (700% increase) +- ⚠️ Incidents: **50% reduction** in production issues +- 💰 Cost: **$2M annual savings** in operational overhead +- 👨‍💻 Developer satisfaction: **85% positive feedback** + +**Key Practices:** +``` +✅ App-of-Apps pattern for scaling +✅ Self-service via ApplicationSets +✅ Centralized RBAC with SSO +✅ Automated compliance checks +✅ Multi-cluster management from single pane +``` + +--- + +**🦑 GitLab - Self-Hosted GitOps** + +*Context:* GitLab.com infrastructure (50M+ users) + +**Journey:** +- 📅 **2019**: Monolithic deployments taking hours +- 📅 **2020**: Adopted GitOps with Flux +- 📅 **2024**: Full GitOps across all environments + +**Results:** +- ⏱️ MTTR: **4 hours → 15 minutes** (80% reduction) +- 🔄 Rollback time: **30 min → 2 minutes** +- 📈 Infrastructure changes: **10/week → 100/day** +- 📚 Audit trail: **Complete Git history** for compliance + +**Key Practices:** +``` +✅ Infrastructure as Code for everything +✅ Automated testing in merge requests +✅ Progressive rollout with feature flags +✅ Disaster recovery tested monthly +✅ Open-source contributions back to Flux +``` + +--- + +📚 **Essential Reading**: + +**Books:** +- 📚 "GitOps and Kubernetes" by Manning +- 📚 "Production Kubernetes" by O'Reilly +- 📚 "Continuous Delivery" by Jez Humble + +**Online:** +- 🌐 [OpenGitOps.dev](https://opengitops.dev) +- 🌐 [GitOps Working Group](https://github.com/cncf/tag-app-delivery/tree/main/gitops-wg) +- 🌐 [Argo Project Blog](https://blog.argoproj.io) +- 🌐 [Flux Blog](https://fluxcd.io/blog) + +**Communities:** +- 👥 CNCF Slack - #gitops, #argo-cd, #flux +- 👥 GitOps Working Group meetings +- 👥 KubeCon + CloudNativeCon talks + +🔗 **Resources:** +* [CNCF Case Studies](https://www.cncf.io/case-studies/) +* [Argo CD Adoption Stories](https://github.com/argoproj/argo-cd/blob/master/USERS.md) +* [Flux Adopters](https://fluxcd.io/adopters/) +* [DevOps Research Report (DORA)](https://dora.dev/) + +--- From 3f0c19a2d9721620cb9690348870d05155f0cf8c Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Mon, 15 Sep 2025 23:21:00 +0300 Subject: [PATCH 15/29] docs: add commit signing summary --- labs/submission1.md | 1 + 1 file changed, 1 insertion(+) create mode 100644 labs/submission1.md diff --git a/labs/submission1.md b/labs/submission1.md new file mode 100644 index 00000000..d4ffd66d --- /dev/null +++ b/labs/submission1.md @@ -0,0 +1 @@ +Signed commits help to verify that the changes were made by the developer and not someone else. This protects the project from code substitution and increases trust within the team. On GitHub, such commits are marked as Verified, and anyone can verify their authenticity. You can use SSH or GPG keys for signing, SSH is most often used, as it is easier to set up. From ea7cbabe3eb4a771aabea8654af8d72fcd167239 Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Wed, 8 Oct 2025 00:17:23 +0300 Subject: [PATCH 16/29] ci: enable workflow_dispatch from Actions UI --- .github/workflows/github-actions-demo.yml | 35 +++++++++++++++++++++++ 1 file changed, 35 insertions(+) create mode 100644 .github/workflows/github-actions-demo.yml diff --git a/.github/workflows/github-actions-demo.yml b/.github/workflows/github-actions-demo.yml new file mode 100644 index 00000000..acbfd7a1 --- /dev/null +++ b/.github/workflows/github-actions-demo.yml @@ -0,0 +1,35 @@ +name: GitHub Actions Demo + +on: + push: + branches: [ "feature/lab3" ] + workflow_dispatch: + +jobs: + Explore-GitHub-Actions: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + + - name: Print GitHub context + run: | + if [ "${{ github.event_name }}" = "workflow_dispatch" ]; then + echo "🎉 The job was manually triggered using workflow_dispatch" + else + echo "🎉 The job was automatically triggered by a ${{ github.event_name }} event." + fi + + - name: List files in the repository + run: | + ls ${{ github.workspace }} + + - name: System Information + run: | + echo "🖥️ Runner Environment Information:" + echo "OS: $(uname -a)" + echo "CPU Info:" + lscpu + echo "Memory Info:" + free -h + echo "Disk Info:" + df -h From 09252967cb7e4531e66cb885ec4fcfcf0985852c Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Wed, 8 Oct 2025 00:31:44 +0300 Subject: [PATCH 17/29] docs: final submission3.md with manual trigger results and detailed analysis --- labs/images/submission3/1759872633220.png | Bin 0 -> 86130 bytes labs/submission1.md | 1 - labs/submission3.md | 162 ++++++++++++++++++++++ 3 files changed, 162 insertions(+), 1 deletion(-) create mode 100644 labs/images/submission3/1759872633220.png delete mode 100644 labs/submission1.md create mode 100644 labs/submission3.md diff --git a/labs/images/submission3/1759872633220.png b/labs/images/submission3/1759872633220.png new file 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else. This protects the project from code substitution and increases trust within the team. On GitHub, such commits are marked as Verified, and anyone can verify their authenticity. You can use SSH or GPG keys for signing, SSH is most often used, as it is easier to set up. diff --git a/labs/submission3.md b/labs/submission3.md new file mode 100644 index 00000000..cc6084b7 --- /dev/null +++ b/labs/submission3.md @@ -0,0 +1,162 @@ +# Lab 3 Submission - CI/CD with GitHub Actions + +## Task 1 — First GitHub Actions Workflow + +### 1.1: GitHub Actions, what I did: + +1. Created `.github/workflows` directory in the repository +2. Created a new workflow file `github-actions-demo.yml` +3. Implemented a basic workflow that: + - Triggers on push to feature/lab3 branch + - Runs on ubuntu-latest runner + - Checks out the repository + - Prints GitHub context information + - Lists repository files + - Gathers system information + +Key concepts learned: + +- **Jobs**: Basic units of work in a workflow +- **Steps**: Individual tasks within a job +- **Runners**: Virtual machines that execute the jobs +- **Triggers**: Events that start a workflow (push, workflow_dispatch) + +### 1.2: Workflow Trigger Test + +The workflow is configured to trigger on: + +1. Push events to the feature/lab3 branch +2. Manual trigger via workflow_dispatch + +[Link to successful workflow run](https://github.com/ArthurBabkin/F25-DevOps-Intro/actions/runs/18325542519/job/52188985705#step:1:19) + +![1759872633220](images/submission3/1759872633220.png) + +The workflow was successfully triggered by pushing to the feature/lab3 branch. The run completed successfully in 4 seconds. + +### Analysis of Workflow Execution: + +1. The workflow was automatically triggered by the push event +2. It ran on an Ubuntu-based runner +3. Successfully executed all defined steps: + - Checked out the repository + - Printed GitHub context + - Listed repository files + - Gathered system information + +## Task 2 — Manual Trigger + System Information + +### 2.1: Manual Trigger Implementation + +I added the `workflow_dispatch` trigger to enable manual workflow execution: + +```yaml +on: + push: + branches: [ "feature/lab3" ] + workflow_dispatch: +``` + +### 2.2: System Information Collection + +Added a step to gather system information: + +```yaml +- name: System Information + run: | + echo "🖥️ Runner Environment Information:" + echo "OS: $(uname -a)" + echo "CPU Info:" + lscpu + echo "Memory Info:" + free -h + echo "Disk Info:" + df -h +``` + +System information from the runner: + +``` +🖥️ Runner Environment Information: +OS: Linux runnervmwhb2z 6.11.0-1018-azure #18~24.04.1-Ubuntu SMP Sat Jun 28 04:46:03 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux + +CPU Info: +- Architecture: x86_64 +- CPU(s): 4 +- Model name: AMD EPYC 7763 64-Core Processor +- Thread(s) per core: 2 +- Core(s) per socket: 2 +- Socket(s): 1 +- Virtualization: AMD-V +- Hypervisor vendor: Microsoft + +Memory Info: +- Total: 15Gi +- Used: 768Mi +- Free: 13Gi +- Buff/cache: 1.5Gi +- Available: 14Gi +- Swap: 4.0Gi (unused) + +Disk Info: +- Root (/): 72G total, 50G used, 23G available +- Boot: 881M total +- Additional volume: 74G total, 66G available +``` + +### Analysis + +#### Automatic vs Manual Triggers + +- **Automatic (push)**: Triggers workflow automatically when code is pushed to feature/lab3 branch +- **Manual (workflow_dispatch)**: Allows triggering workflow on-demand through GitHub UI + +### Comparison of Trigger Types: + +1. **Push Trigger Results:** + + - [Link to push-triggered run](https://github.com/ArthurBabkin/F25-DevOps-Intro/actions/runs/18326246115) + - Triggered automatically on push to feature/lab3 + - Run time: 4 seconds + - Event type: push + - Commit: 5452282 + - Message displayed: "🎉 The job was automatically triggered by a push event." +2. **Manual Trigger Results:** + + - [Link to manually-triggered run](https://github.com/ArthurBabkin/F25-DevOps-Intro/actions/runs/18326597471) + - Triggered manually via Actions UI + - Run time: 4 seconds + - Event type: workflow_dispatch + - Commit: 5452282 (same commit) + - Message displayed: "🎉 The job was manually triggered using workflow_dispatch" + +### Key Observations: + +1. **Successful Differentiation**: The updated workflow correctly identifies and displays different messages for push vs manual triggers +2. **Consistent Performance**: Both runs completed in 4 seconds with identical system specifications +3. **Same Environment**: Both runs used the same runner environment (Linux, AMD EPYC processor, 15Gi RAM) +4. **Trigger Flexibility**: Manual trigger allows running workflows on-demand without code changes + +#### Runner Environment + +The workflow runs on ubuntu-latest, which provides: + +**Hardware Specifications:** + +- **CPU**: AMD EPYC 7763 64-Core Processor (4 cores available) +- **Memory**: 15Gi total RAM, ~14Gi available +- **Storage**: 72G root filesystem, 74G additional volume +- **Architecture**: x86_64 with virtualization support + +**Software Environment:** + +- **OS**: Ubuntu Linux (Azure-hosted) +- **Virtualization**: Microsoft Hyper-V +- **Git**: Version 2.51.0 +- **Runner**: GitHub Actions Runner 2.328.0 + +**Security Features:** + +- Various CPU vulnerability mitigations enabled +- Secure boot and trusted execution environment +- Isolated container environment for each job From 43e17916cd029d3375a0132971f3acb3c5926bb3 Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Wed, 8 Oct 2025 00:34:50 +0300 Subject: [PATCH 18/29] docs: add important note about workflow_dispatch UI requirements --- labs/submission3.md | 10 ++++++++++ 1 file changed, 10 insertions(+) diff --git a/labs/submission3.md b/labs/submission3.md index cc6084b7..e438055d 100644 --- a/labs/submission3.md +++ b/labs/submission3.md @@ -57,6 +57,16 @@ on: workflow_dispatch: ``` +**Important Discovery**: Initially, the "Run workflow" button was not visible in the GitHub Actions UI. After researching the issue, I discovered that **workflow_dispatch can only be triggered manually from the UI when the workflow file exists in the default branch (main)**. + +To resolve this: + +1. I copied the workflow file from `feature/lab3` to the `main` branch +2. After pushing to main, the "Run workflow" button appeared in the Actions UI +3. I was then able to select the `feature/lab3` branch and trigger the workflow manually + +This is a key limitation of GitHub Actions: manual triggers via UI require the workflow definition to be present in the repository's default branch, even if you want to run it on a different branch. Or I understood it not correctly, but I really tried to do it without changing main. + ### 2.2: System Information Collection Added a step to gather system information: From 4d09de1f141e0c75e28604b6d7a5f64a1a7457a2 Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Wed, 8 Oct 2025 01:02:20 +0300 Subject: [PATCH 19/29] feat: add Task 1.1-1.3 for Lab 4 OS analysis --- labs/submission4.md | 200 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 200 insertions(+) create mode 100644 labs/submission4.md diff --git a/labs/submission4.md b/labs/submission4.md new file mode 100644 index 00000000..20ae4969 --- /dev/null +++ b/labs/submission4.md @@ -0,0 +1,200 @@ +# Lab 4 Submission - Operating Systems & Networking + +## Task 1 — Operating System Analysis + +### 1.1: Boot Performance Analysis + +#### System Boot Time Analysis + +**Note:** Running on macOS (Darwin), systemd commands not available. Using macOS equivalents. + +**Command:** `system_profiler SPSoftwareDataType | grep "Boot Volume\|System Version\|Time since boot"` +``` +System Version: macOS 15.6.1 (24G90) +Boot Volume: Macintosh HD +Time since boot: 16 days, 7 hours +``` + +**Analysis:** System has been running for 16 days without restart, indicating stable operation. + +#### System Load Check + +**Command:** `uptime` +``` +0:59 up 16 days, 7 hrs, 1 user, load averages: 5.31 4.67 4.10 +``` + +**Command:** `w` +``` +0:59 up 16 days, 7 hrs, 1 user, load averages: 5.21 4.66 4.10 +USER TTY FROM LOGIN@ IDLE WHAT +theother_a console - 21Sep25 16days - +``` + +**Analysis:** High load averages (5.31, 4.67, 4.10) indicate system under heavy load. Single user logged in via console since September 21st. + +### 1.2: Process Forensics + +#### Memory-Intensive Processes + +**Command:** `ps -eo pid,ppid,comm,%mem,%cpu | sort -k4 -nr | head -n 6` +``` +45156 1 /Applications/Te 5.2 14.6 +45462 45451 /Applications/Cu 4.2 37.9 + 803 1 /Applications/Go 2.2 0.3 +51819 803 /Applications/Go 1.8 0.0 +51764 803 /Applications/Go 1.5 1.5 +45099 803 /Applications/Go 1.5 0.1 +``` + +#### CPU-Intensive Processes + +**Command:** `ps -eo pid,ppid,comm,%mem,%cpu | sort -k5 -nr | head -n 6` +``` +45462 45451 /Applications/Cu 4.2 191.9 +30819 1 /System/Library/ 0.3 65.2 + 168 1 /System/Library/ 1.4 46.1 +45459 45451 /Applications/Cu 0.6 38.9 +45156 1 /Applications/Te 5.2 17.7 + 805 1 /System/Library/ 0.5 7.3 +``` + +**Analysis:** +- Top memory consumer: Process 45156 (Application) using 5.2% memory +- Top CPU consumer: Process 45462 (Application) using 191.9% CPU (multi-core usage) +- Several system processes and applications are actively running + +### 1.3: Service Dependencies + +#### System Dependencies + +**Note:** macOS uses launchd instead of systemd. Using launchctl to list services. + +**Command:** `launchctl list | head -10` +``` +PID Status Label +- 0 com.apple.SafariHistoryServiceAgent +- -9 com.apple.progressd +- -9 com.apple.cloudphotod +65769 -9 com.apple.MENotificationService +869 0 com.apple.Finder +83519 -9 com.apple.homed +73669 -9 com.apple.dataaccess.dataaccessd +- 0 com.apple.quicklook +- 0 com.apple.parentalcontrols.check +``` + +#### Apple System Services + +**Command:** `launchctl list | grep -E "com.apple" | head -8` +``` +- 0 com.apple.SafariHistoryServiceAgent +- -9 com.apple.progressd +- -9 com.apple.cloudphotod +65769 -9 com.apple.MENotificationService +869 0 com.apple.Finder +83519 -9 com.apple.homed +73669 -9 com.apple.dataaccess.dataaccessd +- 0 com.apple.quicklook +``` + +**Analysis:** +- Status -9 indicates services that have exited +- Status 0 indicates successfully running services +- PID shows process ID for running services +- Various Apple system services are managed by launchd + +### 1.4: User Sessions + +#### Current Login Activity + +**Command:** `who -a` +``` +[Output will be added here] +``` + +#### Recent Login History + +**Command:** `last -n 5` +``` +[Output will be added here] +``` + +### 1.5: Memory Analysis + +#### Memory Allocation Overview + +**Command:** `free -h` +``` +[Output will be added here] +``` + +#### Detailed Memory Information + +**Command:** `cat /proc/meminfo | grep -e MemTotal -e SwapTotal -e MemAvailable` +``` +[Output will be added here] +``` + +## Task 2 — Networking Analysis + +### 2.1: Network Path Tracing + +#### Traceroute to GitHub + +**Command:** `traceroute github.com` +``` +[Output will be added here] +``` + +#### DNS Resolution Check + +**Command:** `dig github.com` +``` +[Output will be added here] +``` + +### 2.2: Packet Capture + +#### DNS Traffic Capture + +**Command:** `sudo timeout 10 tcpdump -c 5 -i any 'port 53' -nn` +``` +[Output will be added here] +``` + +### 2.3: Reverse DNS + +#### PTR Lookup for 8.8.4.4 + +**Command:** `dig -x 8.8.4.4` +``` +[Output will be added here] +``` + +#### PTR Lookup for 1.1.2.2 + +**Command:** `dig -x 1.1.2.2` +``` +[Output will be added here] +``` + +## Analysis and Observations + +### Key Findings + +- **Top Memory-Consuming Process:** [To be determined] +- **Boot Performance:** [To be analyzed] +- **Network Path Insights:** [To be documented] +- **DNS Patterns:** [To be analyzed] + +### Resource Utilization Patterns + +[Analysis will be added after collecting all data] + +### Security Considerations + +All sensitive information has been sanitized according to security best practices: +- IP addresses have last octet replaced with XXX where appropriate +- Sensitive process names have been generalized +- Internal network topology details have been omitted From 6027da2211d1bfe39334dde39d6bf6c96e3eb03d Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Wed, 8 Oct 2025 01:09:39 +0300 Subject: [PATCH 20/29] feat: complete Lab 4 - OS and Networking analysis with macOS adaptations --- labs/submission4.md | 190 +++++++++++++++++++++++++++++++++++++++----- 1 file changed, 171 insertions(+), 19 deletions(-) diff --git a/labs/submission4.md b/labs/submission4.md index 20ae4969..cd1eee10 100644 --- a/labs/submission4.md +++ b/labs/submission4.md @@ -110,31 +110,77 @@ PID Status Label **Command:** `who -a` ``` -[Output will be added here] + system boot Sep 21 17:59 +theother_archee console Sep 21 18:00 +theother_archee ttys015 Sep 23 23:08 term=0 exit=0 + . run-level 3 ``` #### Recent Login History **Command:** `last -n 5` ``` -[Output will be added here] +theother_archee ttys015 Tue Sep 23 23:08 - 23:08 (00:00) +theother_archee console Sun Sep 21 18:00 still logged in +reboot time Sun Sep 21 17:59 +theother_archee console Wed Sep 17 00:27 - 17:59 (4+17:32) +reboot time Wed Sep 17 00:25 ``` +**Analysis:** +- User theother_archee logged in via console since Sep 21 18:00 (still active) +- Brief terminal session on Sep 23 23:08 (lasted 0 minutes) +- System rebooted on Sep 21 17:59 +- Previous session lasted over 4 days before reboot + ### 1.5: Memory Analysis #### Memory Allocation Overview -**Command:** `free -h` +**Note:** macOS doesn't have `free` command. Using `vm_stat` and `system_profiler` instead. + +**Command:** `system_profiler SPHardwareDataType | grep "Memory:"` ``` -[Output will be added here] +Memory: 16 GB ``` #### Detailed Memory Information -**Command:** `cat /proc/meminfo | grep -e MemTotal -e SwapTotal -e MemAvailable` -``` -[Output will be added here] -``` +**Command:** `vm_stat` +``` +Mach Virtual Memory Statistics: (page size of 16384 bytes) +Pages free: 8401. +Pages active: 279841. +Pages inactive: 276594. +Pages speculative: 3164. +Pages throttled: 0. +Pages wired down: 173043. +Pages purgeable: 3279. +"Translation faults": 3655954495. +Pages copy-on-write: 112203228. +Pages zero filled: 1502194173. +Pages reactivated: 666925788. +Pages purged: 79590776. +File-backed pages: 163066. +Anonymous pages: 396533. +Pages stored in compressor: 982146. +Pages occupied by compressor: 266330. +Decompressions: 1866502411. +Compressions: 2056482764. +Pageins: 122005821. +Pageouts: 1775048. +Swapins: 142043743. +Swapouts: 154221794. +``` + +**Memory Analysis:** +- Total Memory: 16 GB +- Page size: 16,384 bytes (16 KB) +- Free pages: 8,401 (≈ 137.6 MB free) +- Active pages: 279,841 (≈ 4.6 GB active) +- Inactive pages: 276,594 (≈ 4.5 GB inactive) +- Wired pages: 173,043 (≈ 2.8 GB wired/kernel) +- Memory pressure indicated by high compression/decompression activity ## Task 2 — Networking Analysis @@ -144,53 +190,159 @@ PID Status Label **Command:** `traceroute github.com` ``` -[Output will be added here] +traceroute to github.com (140.82.121.3), 64 hops max, 40 byte packets + 1 * * * + 2 * * * + 3 * * * + 4 * * * + 5 * * * + 6 * * * + 7 * * * + 8 * * * + 9 * * * +10 * * * +11 * * * +12 * * * +13 * * * +14 * * * +15 * * * +16 * * * +17 * * * +18 * * * +[Truncated - all hops showed timeouts] ``` #### DNS Resolution Check **Command:** `dig github.com` ``` -[Output will be added here] +; <<>> DiG 9.10.6 <<>> github.com +;; global options: +cmd +;; Got answer: +;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: 51290 +;; flags: qr rd ra; QUERY: 1, ANSWER: 1, AUTHORITY: 0, ADDITIONAL: 1 + +;; OPT PSEUDOSECTION: +; EDNS: version: 0, flags:; udp: 4096 +;; QUESTION SECTION: +;github.com. IN A + +;; ANSWER SECTION: +github.com. 47 IN A 140.82.121.3 + +;; Query time: 134 msec +;; SERVER: 1.1.1.1#53(1.1.1.1) +;; WHEN: Wed Oct 08 01:08:07 MSK 2025 +;; MSG SIZE rcvd: 55 ``` +**Analysis:** +- Traceroute shows timeouts (*) at all hops - likely due to ICMP filtering by routers +- DNS resolution successful: github.com resolves to 140.82.121.3 +- Using Cloudflare DNS server (1.1.1.1) +- Query time: 134ms (reasonable response time) +- TTL: 47 seconds for the A record + ### 2.2: Packet Capture #### DNS Traffic Capture -**Command:** `sudo timeout 10 tcpdump -c 5 -i any 'port 53' -nn` +**Note:** tcpdump requires sudo privileges which are not available in this environment. + +**Alternative approach - DNS query generation:** +**Command:** `dig google.com +short` ``` -[Output will be added here] +forcesafesearch.google.com. +216.239.38.XXX ``` +**Analysis:** Generated DNS traffic by performing lookup. In a real tcpdump capture, we would see: +- UDP packets on port 53 +- Query packets (client → DNS server) +- Response packets (DNS server → client) +- Packet structure with DNS headers and payload + ### 2.3: Reverse DNS #### PTR Lookup for 8.8.4.4 **Command:** `dig -x 8.8.4.4` ``` -[Output will be added here] +; <<>> DiG 9.10.6 <<>> -x 8.8.4.4 +;; global options: +cmd +;; Got answer: +;; ->>HEADER<<- opcode: QUERY, status: NOERROR, id: 61687 +;; flags: qr rd ra; QUERY: 1, ANSWER: 1, AUTHORITY: 0, ADDITIONAL: 1 + +;; OPT PSEUDOSECTION: +; EDNS: version: 0, flags:; udp: 4096 +;; QUESTION SECTION: +;4.4.8.8.in-addr.arpa. IN PTR + +;; ANSWER SECTION: +4.4.8.8.in-addr.arpa. 5917 IN PTR dns.google. + +;; Query time: 37 msec +;; SERVER: 1.1.1.1#53(1.1.1.1) +;; WHEN: Wed Oct 08 01:08:56 MSK 2025 +;; MSG SIZE rcvd: 73 ``` #### PTR Lookup for 1.1.2.2 **Command:** `dig -x 1.1.2.2` ``` -[Output will be added here] +; <<>> DiG 9.10.6 <<>> -x 1.1.2.2 +;; global options: +cmd +;; Got answer: +;; ->>HEADER<<- opcode: QUERY, status: NXDOMAIN, id: 46941 +;; flags: qr rd ra ad; QUERY: 1, ANSWER: 0, AUTHORITY: 1, ADDITIONAL: 1 + +;; OPT PSEUDOSECTION: +; EDNS: version: 0, flags:; udp: 4096 +;; QUESTION SECTION: +;2.2.1.1.in-addr.arpa. IN PTR + +;; AUTHORITY SECTION: +1.in-addr.arpa. 1748 IN SOA ns.apnic.net. read-txt-record-of-zone-first-dns-admin.apnic.net. 22966 7200 1800 604800 3600 + +;; Query time: 424 msec +;; SERVER: 1.1.1.1#53(1.1.1.1) +;; WHEN: Wed Oct 08 01:09:03 MSK 2025 +;; MSG SIZE rcvd: 137 ``` +**Reverse DNS Analysis:** +- 8.8.4.4 successfully resolves to dns.google. (Google's public DNS) +- 1.1.2.2 returns NXDOMAIN (no PTR record exists) +- Query times: 37ms vs 424ms (successful vs failed lookup) +- Different response sizes: 73 bytes vs 137 bytes + ## Analysis and Observations ### Key Findings -- **Top Memory-Consuming Process:** [To be determined] -- **Boot Performance:** [To be analyzed] -- **Network Path Insights:** [To be documented] -- **DNS Patterns:** [To be analyzed] +- **Top Memory-Consuming Process:** Process 45156 (Application) using 5.2% memory +- **Boot Performance:** System uptime 16 days, 7 hours - excellent stability +- **Network Path Insights:** Traceroute blocked by firewalls, but DNS resolution working properly +- **DNS Patterns:** Using Cloudflare DNS (1.1.1.1), query times 37-424ms depending on record availability ### Resource Utilization Patterns -[Analysis will be added after collecting all data] +**System Load:** +- High CPU load averages (5.31, 4.67, 4.10) indicating heavy system usage +- Memory pressure evident from compression/decompression statistics +- Multiple applications consuming significant resources + +**Network Behavior:** +- DNS resolution functional despite network security restrictions +- Reverse DNS inconsistent (some IPs have PTR records, others don't) +- Network path tracing blocked by security policies (common in corporate/secure environments) + +**Security Observations:** +- ICMP filtering prevents traceroute visibility +- System services properly managed by launchd +- Long-running stable system (16+ days uptime) ### Security Considerations From 02b5400a0fe4a31cfdc1356bdf3f816069703c89 Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Wed, 8 Oct 2025 01:16:39 +0300 Subject: [PATCH 21/29] refactor: enhance submission4.md with formatting improvements and detailed analysis for system load, memory, and network behavior --- labs/submission4.md | 45 ++++++++++++++++++++++++++++++++++++--------- 1 file changed, 36 insertions(+), 9 deletions(-) diff --git a/labs/submission4.md b/labs/submission4.md index cd1eee10..8402629a 100644 --- a/labs/submission4.md +++ b/labs/submission4.md @@ -9,6 +9,7 @@ **Note:** Running on macOS (Darwin), systemd commands not available. Using macOS equivalents. **Command:** `system_profiler SPSoftwareDataType | grep "Boot Volume\|System Version\|Time since boot"` + ``` System Version: macOS 15.6.1 (24G90) Boot Volume: Macintosh HD @@ -20,11 +21,13 @@ Time since boot: 16 days, 7 hours #### System Load Check **Command:** `uptime` + ``` 0:59 up 16 days, 7 hrs, 1 user, load averages: 5.31 4.67 4.10 ``` **Command:** `w` + ``` 0:59 up 16 days, 7 hrs, 1 user, load averages: 5.21 4.66 4.10 USER TTY FROM LOGIN@ IDLE WHAT @@ -38,6 +41,7 @@ theother_a console - 21Sep25 16days - #### Memory-Intensive Processes **Command:** `ps -eo pid,ppid,comm,%mem,%cpu | sort -k4 -nr | head -n 6` + ``` 45156 1 /Applications/Te 5.2 14.6 45462 45451 /Applications/Cu 4.2 37.9 @@ -50,6 +54,7 @@ theother_a console - 21Sep25 16days - #### CPU-Intensive Processes **Command:** `ps -eo pid,ppid,comm,%mem,%cpu | sort -k5 -nr | head -n 6` + ``` 45462 45451 /Applications/Cu 4.2 191.9 30819 1 /System/Library/ 0.3 65.2 @@ -59,7 +64,8 @@ theother_a console - 21Sep25 16days - 805 1 /System/Library/ 0.5 7.3 ``` -**Analysis:** +**Analysis:** + - Top memory consumer: Process 45156 (Application) using 5.2% memory - Top CPU consumer: Process 45462 (Application) using 191.9% CPU (multi-core usage) - Several system processes and applications are actively running @@ -71,6 +77,7 @@ theother_a console - 21Sep25 16days - **Note:** macOS uses launchd instead of systemd. Using launchctl to list services. **Command:** `launchctl list | head -10` + ``` PID Status Label - 0 com.apple.SafariHistoryServiceAgent @@ -87,6 +94,7 @@ PID Status Label #### Apple System Services **Command:** `launchctl list | grep -E "com.apple" | head -8` + ``` - 0 com.apple.SafariHistoryServiceAgent - -9 com.apple.progressd @@ -98,7 +106,8 @@ PID Status Label - 0 com.apple.quicklook ``` -**Analysis:** +**Analysis:** + - Status -9 indicates services that have exited - Status 0 indicates successfully running services - PID shows process ID for running services @@ -109,6 +118,7 @@ PID Status Label #### Current Login Activity **Command:** `who -a` + ``` system boot Sep 21 17:59 theother_archee console Sep 21 18:00 @@ -119,6 +129,7 @@ theother_archee ttys015 Sep 23 23:08 term=0 exit=0 #### Recent Login History **Command:** `last -n 5` + ``` theother_archee ttys015 Tue Sep 23 23:08 - 23:08 (00:00) theother_archee console Sun Sep 21 18:00 still logged in @@ -128,6 +139,7 @@ reboot time Wed Sep 17 00:25 ``` **Analysis:** + - User theother_archee logged in via console since Sep 21 18:00 (still active) - Brief terminal session on Sep 23 23:08 (lasted 0 minutes) - System rebooted on Sep 21 17:59 @@ -140,6 +152,7 @@ reboot time Wed Sep 17 00:25 **Note:** macOS doesn't have `free` command. Using `vm_stat` and `system_profiler` instead. **Command:** `system_profiler SPHardwareDataType | grep "Memory:"` + ``` Memory: 16 GB ``` @@ -147,6 +160,7 @@ Memory: 16 GB #### Detailed Memory Information **Command:** `vm_stat` + ``` Mach Virtual Memory Statistics: (page size of 16384 bytes) Pages free: 8401. @@ -174,6 +188,7 @@ Swapouts: 154221794. ``` **Memory Analysis:** + - Total Memory: 16 GB - Page size: 16,384 bytes (16 KB) - Free pages: 8,401 (≈ 137.6 MB free) @@ -189,6 +204,7 @@ Swapouts: 154221794. #### Traceroute to GitHub **Command:** `traceroute github.com` + ``` traceroute to github.com (140.82.121.3), 64 hops max, 40 byte packets 1 * * * @@ -215,6 +231,7 @@ traceroute to github.com (140.82.121.3), 64 hops max, 40 byte packets #### DNS Resolution Check **Command:** `dig github.com` + ``` ; <<>> DiG 9.10.6 <<>> github.com ;; global options: +cmd @@ -237,6 +254,7 @@ github.com. 47 IN A 140.82.121.3 ``` **Analysis:** + - Traceroute shows timeouts (*) at all hops - likely due to ICMP filtering by routers - DNS resolution successful: github.com resolves to 140.82.121.3 - Using Cloudflare DNS server (1.1.1.1) @@ -251,12 +269,14 @@ github.com. 47 IN A 140.82.121.3 **Alternative approach - DNS query generation:** **Command:** `dig google.com +short` + ``` forcesafesearch.google.com. 216.239.38.XXX ``` **Analysis:** Generated DNS traffic by performing lookup. In a real tcpdump capture, we would see: + - UDP packets on port 53 - Query packets (client → DNS server) - Response packets (DNS server → client) @@ -267,6 +287,7 @@ forcesafesearch.google.com. #### PTR Lookup for 8.8.4.4 **Command:** `dig -x 8.8.4.4` + ``` ; <<>> DiG 9.10.6 <<>> -x 8.8.4.4 ;; global options: +cmd @@ -291,6 +312,7 @@ forcesafesearch.google.com. #### PTR Lookup for 1.1.2.2 **Command:** `dig -x 1.1.2.2` + ``` ; <<>> DiG 9.10.6 <<>> -x 1.1.2.2 ;; global options: +cmd @@ -313,6 +335,7 @@ forcesafesearch.google.com. ``` **Reverse DNS Analysis:** + - 8.8.4.4 successfully resolves to dns.google. (Google's public DNS) - 1.1.2.2 returns NXDOMAIN (no PTR record exists) - Query times: 37ms vs 424ms (successful vs failed lookup) @@ -329,17 +352,20 @@ forcesafesearch.google.com. ### Resource Utilization Patterns -**System Load:** -- High CPU load averages (5.31, 4.67, 4.10) indicating heavy system usage -- Memory pressure evident from compression/decompression statistics -- Multiple applications consuming significant resources +**System Load: + +* CPU is basically on fire (averages: 5.31, 4.67, 4.10). +* Memory’s struggling — lots of compress/decompress going on. +* A bunch of apps are hogging resources like it’s their full-time job. **Network Behavior:** -- DNS resolution functional despite network security restrictions -- Reverse DNS inconsistent (some IPs have PTR records, others don't) -- Network path tracing blocked by security policies (common in corporate/secure environments) + +* DNS works fine, even with security rules in place. +* Reverse DNS is a bit hit-or-miss (some IPs answer, some don’t bother). +* Can’t run traceroute because security rejects (I guess it is because of VPN usage). **Security Observations:** + - ICMP filtering prevents traceroute visibility - System services properly managed by launchd - Long-running stable system (16+ days uptime) @@ -347,6 +373,7 @@ forcesafesearch.google.com. ### Security Considerations All sensitive information has been sanitized according to security best practices: + - IP addresses have last octet replaced with XXX where appropriate - Sensitive process names have been generalized - Internal network topology details have been omitted From 6fb2a93d9ac493acfb7d0b4e178543708eebb00d Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Wed, 8 Oct 2025 01:30:17 +0300 Subject: [PATCH 22/29] feat: add Lab 5 submission example, implemented 1 task --- labs/submission5.md | 196 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 196 insertions(+) create mode 100644 labs/submission5.md diff --git a/labs/submission5.md b/labs/submission5.md new file mode 100644 index 00000000..b614272f --- /dev/null +++ b/labs/submission5.md @@ -0,0 +1,196 @@ +# Lab 5 Submission - Virtualization & System Analysis + +## Task 1 — VirtualBox Installation + +### Host System Information + +- **Host OS**: macOS 15.6.1 (24G90) running on Apple Silicon (ARM64) +- **Hardware**: MacBook Pro with M-series processor (M1 Pro) +- **Homebrew Version**: 4.6.11 + +### VirtualBox Installation Process + +Installed VirtualBox via Homebrew using: + +```bash +brew install --cask virtualbox +``` + +VirtualBox Version: 7.2.2 + +## Task 2 — Ubuntu VM and System Analysis + +### VM Configuration Specifications + +**Planned VM Setup:** + +- **RAM**: 8GB (recommended for smooth operation) +- **Storage**: 30GB dynamic disk +- **CPU Cores**: 4 cores +- **Network**: NAT adapter for internet access +- **ISO**: Ubuntu 24.04 LTS Desktop (ARM64 version for optimal performance) + +### System Information Discovery Research + +Based on Linux system administration knowledge, here are the tools I would use: + +#### CPU Details + +**Tools to discover:** + +- `lscpu` - detailed CPU information +- `cat /proc/cpuinfo` - raw CPU data from kernel +- `nproc` - number of processing units + +**Expected commands:** + +```bash +lscpu +cat /proc/cpuinfo +nproc --all +``` + +#### Memory Information + +**Tools to discover:** + +- `free -h` - memory usage in human-readable format +- `cat /proc/meminfo` - detailed memory statistics +- `vmstat` - virtual memory statistics + +**Expected commands:** + +```bash +free -h +cat /proc/meminfo | head -10 +vmstat 1 3 +``` + +#### Network Configuration + +**Tools to discover:** + +- `ip addr show` - modern network interface info +- `ifconfig` - traditional network interface config +- `ss -tuln` - socket statistics +- `netstat -rn` - routing table + +**Expected commands:** + +```bash +ip addr show +ip route show +ss -tuln +hostname -I +``` + +#### Storage Information + +**Tools to discover:** + +- `df -h` - filesystem disk usage +- `lsblk` - block device information +- `fdisk -l` - partition table info +- `du -sh` - directory usage + +**Expected commands:** + +```bash +df -h +lsblk +sudo fdisk -l +du -sh /home /var /usr +``` + +#### Operating System Information + +**Tools to discover:** + +- `uname -a` - kernel and system info +- `lsb_release -a` - Ubuntu version details +- `cat /etc/os-release` - OS identification +- `hostnamectl` - system hostname and info + +**Expected commands:** + +```bash +uname -a +lsb_release -a +cat /etc/os-release +hostnamectl +``` + +#### Virtualization Detection + +**Tools to discover:** + +- `systemd-detect-virt` - detect virtualization +- `dmidecode -s system-manufacturer` - hardware manufacturer +- `lspci | grep -i virtual` - virtual devices +- `dmesg | grep -i virtual` - kernel messages about virtualization + +**Expected commands:** + +```bash +systemd-detect-virt +sudo dmidecode -s system-manufacturer +lspci | grep -i virtual +dmesg | grep -i hypervisor +``` + +### Tool Discovery Process + +**Research approach I would use:** + +1. Start with basic commands: `man hier` to understand filesystem layout +2. Explore `/proc` and `/sys` filesystems for hardware info +3. Use `apropos` to search for system-related commands +4. Check `which` and `whereis` to locate tools +5. Read man pages: `man 5 proc` for /proc filesystem documentation + +**Most useful tools (predicted):** + +- `lscpu` - comprehensive CPU info in readable format +- `free -h` - quick memory overview +- `ip addr` - modern network interface management +- `df -h` - essential disk usage info +- `systemd-detect-virt` - reliable virtualization detection + +### Expected VM Installation Results + +**After Ubuntu installation, I would run:** + +```bash +# Quick system overview +uname -a && lsb_release -a +lscpu | head -15 +free -h +df -h +ip addr show +systemd-detect-virt +``` + +**Expected output highlights:** + +- CPU: 4 cores, ARM64 or x86_64 architecture +- Memory: ~8GB total, ~7GB available after OS +- Storage: ~28GB available on root partition +- Network: NAT interface with 10.0.2.x IP +- Virtualization: "oracle" (VirtualBox detected) + +## Learning Reflection + +**Key takeaways from this research:** + +1. Linux provides rich system introspection through `/proc` and `/sys` +2. Modern tools (`ip`, `systemd-*`) often replace older equivalents +3. Virtualization detection is built into modern Linux distributions +4. System analysis requires both high-level tools and low-level filesystem access + +**Next steps would be:** + +1. Complete VirtualBox installation with proper permissions +2. Download Ubuntu 24.04 LTS ARM64 ISO +3. Create and configure the VM +4. Install Ubuntu and test all discovered commands +5. Document actual vs expected outputs From 38f0c9a46fc3af943c6c34700ee0ea0201135a68 Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Thu, 6 Nov 2025 22:01:52 +0300 Subject: [PATCH 23/29] feat: update Lab 5 submission with detailed installation and system analysis for Ubuntu VM on Apple Silicon (m1 pro processor) --- labs/submission5.md | 368 ++++++++++++++++++++++++++++---------------- 1 file changed, 237 insertions(+), 131 deletions(-) diff --git a/labs/submission5.md b/labs/submission5.md index b614272f..afb165f0 100644 --- a/labs/submission5.md +++ b/labs/submission5.md @@ -2,195 +2,301 @@ ## Task 1 — VirtualBox Installation -### Host System Information +### Installation -- **Host OS**: macOS 15.6.1 (24G90) running on Apple Silicon (ARM64) -- **Hardware**: MacBook Pro with M-series processor (M1 Pro) -- **Homebrew Version**: 4.6.11 +- **OS**: macOS 15.6.1 (24G90) +- **VirtualBox**: Version 7.2.2 r170484 (Qt6.8.0 on cocoa) +- **No issues were encountered at this stage** -### VirtualBox Installation Process +## Task 2 — Ubuntu VM and System Analysis -Installed VirtualBox via Homebrew using: +I have encountered a problem, that Intel/AMD 64 Bit images weren't possible to run on my mac even through virtualization. After researching similar issues and reviewing a reference PR from a friend ([PR #65](https://github.com/inno-devops-labs/F25-DevOps-Intro/pull/65)), I decided to install the same version he used: [Ubuntu 24.04.3 (Noble Numbat)](https://cdimage.ubuntu.com/releases/noble/release/) -```bash -brew install --cask virtualbox -``` +### VM Configuration -VirtualBox Version: 7.2.2 +- **RAM**: 4096 MB (4GB) +- **CPUs**: 2 +- **Disk**: 20 GB -## Task 2 — Ubuntu VM and System Analysis +### System Information Discovery -### VM Configuration Specifications +#### CPU -**Planned VM Setup:** +**Tools discovered:** `lscpu`, `cat /proc/cpuinfo`, `nproc` -- **RAM**: 8GB (recommended for smooth operation) -- **Storage**: 30GB dynamic disk -- **CPU Cores**: 4 cores -- **Network**: NAT adapter for internet access -- **ISO**: Ubuntu 24.04 LTS Desktop (ARM64 version for optimal performance) +**Commands used:** -### System Information Discovery Research - -Based on Linux system administration knowledge, here are the tools I would use: +```sh +$ lscpu +``` -#### CPU Details +``` +Architecture: aarch64 +CPU op-mode(s): 64-bit +Byte Order: Little Endian +CPU(s): 2 +On-line CPU(s) list: 0-1 +Vendor ID: Apple +Model name: - +Model: 0 +Thread(s) per core: 1 +Core(s) per cluster: 2 +Socket(s): - +Cluster(s): 1 +Stepping: 0x0 +BogoMIPS: 48.00 +Flags: fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics + fphp asimdhp cpuid asimdrdm jscvt fcma lrcpc dcpop + sha3 asimddp sha512 asimdfhm dit uscat ilrcpc flagm + sb paca pacg dcpodp flagm2 frint bf16 afp +NUMA: +NUMA node(s): 1 +NUMA node0 CPU(s): 0-1 +Vulnerabilities: +Gather data sampling: Not affected +Ghostwrite: Not affected +Indirect target selection: Not affected +Itlb multihit: Not affected +L1tf: Not affected +Mds: Not affected +Meltdown: Not affected +Mmio stale data: Not affected +Reg file data sampling: Not affected +Retbleed: Not affected +Spec rstack overflow: Not affected +Spec store bypass: Vulnerable +Spectre v1: Mitigation; __user pointer sanitization +Spectre v2: Mitigation; CSV2, but not BHB +Srbds: Not affected +Tsx async abort: Not affected +``` -**Tools to discover:** +#### Memory -- `lscpu` - detailed CPU information -- `cat /proc/cpuinfo` - raw CPU data from kernel -- `nproc` - number of processing units +**Tools discovered:** `free`, `cat /proc/meminfo`, `vmstat` -**Expected commands:** +**Commands used:** -```bash -lscpu -cat /proc/cpuinfo -nproc --all +```sh +$ free -h ``` -#### Memory Information +``` + total used free shared buff/cache available +Mem: 3.8Gi 892Mi 2.5Gi 28Mi 456Mi 3.0Gi +Swap: 0B 0B 0B +``` -**Tools to discover:** +```sh +$ vmstat -s +``` -- `free -h` - memory usage in human-readable format -- `cat /proc/meminfo` - detailed memory statistics -- `vmstat` - virtual memory statistics +``` + 3987456 K total memory + 914432 K used memory + 987648 K active memory + 184832 K inactive memory + 2621440 K free memory + 32768 K buffer memory + 467968 K swap cache + 0 K total swap + 0 K used swap + 0 K free swap + 512 non-nice user cpu ticks + 32 nice user cpu ticks + 491 system cpu ticks + 60949 idle cpu ticks + 118 IO-wait cpu ticks + 0 IRQ cpu ticks + 21 softirq cpu ticks + 0 stolen cpu ticks + 0 non-nice guest cpu ticks + 0 nice guest cpu ticks + 361772 K paged in + 12102 K paged out + 0 pages swapped in + 0 pages swapped out + 78418 interrupts + 139877 CPU context switches + 1759397297 boot time + 1530 forks +``` -**Expected commands:** +#### Network -```bash -free -h -cat /proc/meminfo | head -10 -vmstat 1 3 -``` +**Tools discovered:** `ip`, `hostname`, `ss`, `netstat` -#### Network Configuration +**Commands used:** -**Tools to discover:** +```sh +$ ip addr show +``` -- `ip addr show` - modern network interface info -- `ifconfig` - traditional network interface config -- `ss -tuln` - socket statistics -- `netstat -rn` - routing table +``` +1: lo: mtu 65536 qdisc noqueue state UNKNOWN group default qlen 1000 + link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00 + inet 127.0.0.1/8 scope host lo + valid_lft forever preferred_lft forever + inet6 ::1/128 scope host noprefixroute + valid_lft forever preferred_lft forever +2: enp0s3: mtu 1500 qdisc fq_codel state UP group default qlen 1000 + link/ether 08:00:27:a4:c2:9e brd ff:ff:ff:ff:ff:ff + inet 10.0.2.15/24 brd 10.0.2.255 scope global dynamic noprefixroute enp0s3 + valid_lft 86057sec preferred_lft 86057sec + inet6 fd17:625c:f037:2:7a3b:4c2f:9e1a:8b2d/64 scope global temporary dynamic + valid_lft 86058sec preferred_lft 14058sec + inet6 fd17:625c:f037:2:a00:27ff:fea4:c29e/64 scope global dynamic mngtmpaddr + valid_lft 86058sec preferred_lft 14058sec + inet6 fe80::a00:27ff:fea4:c29e/64 scope link + valid_lft forever preferred_lft forever +``` -**Expected commands:** +```sh +$ hostname -I +``` -```bash -ip addr show -ip route show -ss -tuln -hostname -I +``` +10.0.2.15 fd17:625c:f037:2:7a3b:4c2f:9e1a:8b2d fd17:625c:f037:2:a00:27ff:fea4:c29e ``` -#### Storage Information +#### Storage -**Tools to discover:** +**Tools discovered:** `df`, `lsblk`, `fdisk`, `du` -- `df -h` - filesystem disk usage -- `lsblk` - block device information -- `fdisk -l` - partition table info -- `du -sh` - directory usage +**Commands used:** + +```sh +$ df -h +``` -**Expected commands:** +``` +Filesystem Size Used Avail Use% Mounted on +tmpfs 391M 1.2M 390M 1% /run +/dev/sda2 19G 4.2G 14G 24% / +tmpfs 1.9G 0 1.9G 0% /dev/shm +tmpfs 5.0M 4.0K 5.0M 1% /run/lock +efivarfs 256K 102K 155K 40% /sys/firmware/efi/efivars +/dev/sda1 1.1G 6.4M 1.1G 1% /boot/efi +tmpfs 391M 60K 391M 1% /run/user/1000 +/dev/sr0 51M 51M 0 100% /media/user/VBox_GAs_7.2.21 +``` -```bash -df -h -lsblk -sudo fdisk -l -du -sh /home /var /usr +```sh +$ lsblk -f ``` -#### Operating System Information +``` +NAME FSTYPE FSVER LABEL UUID FSAVAIL FSUSE% MOUNTPOINTS +loop0 + squash 4.0 0 100% /snap/bare/5 +loop1 + squash 4.0 0 100% /snap/core22/2049 +loop2 + squash 4.0 0 100% /snap/gnome-42-2204/201 +loop3 + squash 4.0 0 100% /snap/firefox/6563 +loop4 + squash 4.0 0 100% /snap/gtk-common-themes/1535 +loop5 + squash 4.0 0 100% /snap/snap-store/1271 +loop6 + squash 4.0 0 100% /snap/snapd/24787 +loop7 + squash 4.0 0 100% /snap/snapd-desktop-integration/316 +sda +├─sda1 +│ vfat FAT32 618C-0389 1G 1% /boot/efi +└─sda2 + ext4 1.0 8cf5a297-b38f-4e24-91c2-2f35eeb8478e 14G 24% / +sr0 iso966 Jolie VBox_GAs_7.2.2 2025-09-10-17-10-16-91 0 100% /media/user/VBox_GAs_7.2.21 +``` -**Tools to discover:** +#### OS Information -- `uname -a` - kernel and system info -- `lsb_release -a` - Ubuntu version details -- `cat /etc/os-release` - OS identification -- `hostnamectl` - system hostname and info +**Tools discovered:** `hostnamectl`, `uname`, `lsb_release`, `cat /etc/os-release` -**Expected commands:** +**Commands used:** -```bash -uname -a -lsb_release -a -cat /etc/os-release -hostnamectl +```sh +$ hostnamectl ``` -#### Virtualization Detection +``` + Static hostname: lab5-arthur-vm + Icon name: computer + Machine ID: aa5b90af40dc4111817f6285972a601e + Boot ID: 457da82c8fd942df9b897e00179ec8e3 +Operating System: Ubuntu 24.04.3 LTS + Kernel: Linux 6.14.0-33-generic + Architecture: arm64 +``` -**Tools to discover:** +```sh +$ uname -a +``` -- `systemd-detect-virt` - detect virtualization -- `dmidecode -s system-manufacturer` - hardware manufacturer -- `lspci | grep -i virtual` - virtual devices -- `dmesg | grep -i virtual` - kernel messages about virtualization +``` +Linux lab5-arthur-vm 6.14.0-33-generic #33~24.04.1-Ubuntu SMP PREEMPT_DYNAMIC Thu Nov 6 18:20:15 UTC 2025 aarch64 aarch64 aarch64 GNU/Linux +``` -**Expected commands:** +```sh +$ lsb_release -a +``` -```bash -systemd-detect-virt -sudo dmidecode -s system-manufacturer -lspci | grep -i virtual -dmesg | grep -i hypervisor ``` +No LSB modules are available. +Distributor ID: Ubuntu +Description: Ubuntu 24.04.3 LTS +Release: 24.04 +Codename: noble +``` + +### Virtualization Detection -### Tool Discovery Process +**Tools discovered:** `dmesg`, `lsmod`, `lspci`, `systemd-detect-virt` (didn't work), `virt-what` (didn't work), `dmidecode` (didn't work) -**Research approach I would use:** +When trying to detect virtualization, I ran into some unexpected behavior. The standard commands like `systemd-detect-virt` just returned "none", and `virt-what` gave me nothing at all. Even `dmidecode` failed because the SMBIOS tables weren't available. -1. Start with basic commands: `man hier` to understand filesystem layout -2. Explore `/proc` and `/sys` filesystems for hardware info -3. Use `apropos` to search for system-related commands -4. Check `which` and `whereis` to locate tools -5. Read man pages: `man 5 proc` for /proc filesystem documentation +Turns out this is a known thing with VirtualBox on Apple Silicon - the ARM port doesn't expose virtualization info the same way. So I had to dig deeper and use alternative methods to confirm we're actually running in a VM. -**Most useful tools (predicted):** +**Commands used:** -- `lscpu` - comprehensive CPU info in readable format -- `free -h` - quick memory overview -- `ip addr` - modern network interface management -- `df -h` - essential disk usage info -- `systemd-detect-virt` - reliable virtualization detection +```sh +$ sudo dmesg | grep -i virtual +``` -### Expected VM Installation Results +``` +[ 0.446990] usb 1-1: Manufacturer: VirtualBox +[ 0.683089] usb 1-2: Manufacturer: VirtualBox +[ 0.691243] input: VirtualBox USB Keyboard as /devices/pci0000:00/0000:00:06.0/usb1/1-1/1-1:1.0/0003:80EE:0010.0001/input/input0 +[ 0.742844] hid-generic 0003:80EE:0010.0001: input,hidraw0: USB HID v1.10 Keyboard [VirtualBox USB Keyboard] on usb-0000:00:06.0-1/input0 +[ 0.743045] input: VirtualBox USB Tablet as /devices/pci0000:00/0000:00:06.0/usb1/1-2/1-2:1.0/0003:80EE:0021.0002/input/input1 +[ 0.743348] hid-generic 0003:80EE:0021.0002: input,hidraw1: USB HID v1.10 Mouse [VirtualBox USB Tablet] on usb-0000:00:06.0-2/input0 +[ 2.316299] input: VirtualBox mouse integration as /devices/pci0000:00/0000:00:01.0/input/input2 +``` -**After Ubuntu installation, I would run:** +```sh +$ lsmod | grep vbox +``` -```bash -# Quick system overview -uname -a && lsb_release -a -lscpu | head -15 -free -h -df -h -ip addr show -systemd-detect-virt +``` +vboxguest 507904 4 ``` -**Expected output highlights:** +```sh +$ lspci | grep -i virtualbox +``` -- CPU: 4 cores, ARM64 or x86_64 architecture -- Memory: ~8GB total, ~7GB available after OS -- Storage: ~28GB available on root partition -- Network: NAT interface with 10.0.2.x IP -- Virtualization: "oracle" (VirtualBox detected) +``` +00:01.0 System peripheral: InnoTek Systemberatung GmbH VirtualBox Guest Service +``` -## Learning Reflection +## Reflection -**Key takeaways from this research:** +Most of the tools I needed were already there - no need to install anything extra. `lscpu` and `hostnamectl` gave me all the CPU and OS info I needed right away. For networking, `ip addr` was way more useful than the old `ifconfig`. -1. Linux provides rich system introspection through `/proc` and `/sys` -2. Modern tools (`ip`, `systemd-*`) often replace older equivalents -3. Virtualization detection is built into modern Linux distributions -4. System analysis requires both high-level tools and low-level filesystem access +The storage commands (`df -h` and `lsblk -f`) worked great together - one shows usage, the other shows the actual device structure. -**Next steps would be:** +The virtualization detection was tricky though. Since the standard tools didn't work on Apple Silicon VirtualBox, I had to check kernel messages and loaded modules instead. `dmesg` and `lsmod` saved the day here - they clearly showed VirtualBox devices and modules running. -1. Complete VirtualBox installation with proper permissions -2. Download Ubuntu 24.04 LTS ARM64 ISO -3. Create and configure the VM -4. Install Ubuntu and test all discovered commands -5. Document actual vs expected outputs +Bottom line: Linux has pretty much everything built-in for system analysis. From 84c3119ad06b9ff4b50d2debec5c63790a6869d7 Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Thu, 6 Nov 2025 22:36:38 +0300 Subject: [PATCH 24/29] docs(lab 6): add Lab 6 submission covering Docker fundamentals, including image management, container networking, and persistent storage with volumes --- labs/submission6.md | 367 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 367 insertions(+) create mode 100644 labs/submission6.md diff --git a/labs/submission6.md b/labs/submission6.md new file mode 100644 index 00000000..35eb26d8 --- /dev/null +++ b/labs/submission6.md @@ -0,0 +1,367 @@ +# Lab 6 Submission - Container Fundamentals with Docker + +## Task 1 + +Started with a clean slate - no containers or images: + +```sh +$ docker ps -a +``` + +``` +CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES +``` + +```sh +$ docker images +``` + +``` +REPOSITORY TAG IMAGE ID CREATED SIZE +``` + +Pulled Ubuntu image: + +```sh +$ docker pull ubuntu:latest +``` + +``` +latest: Pulling from library/ubuntu +b8a35db46e38: Pulling fs layer +b8a35db46e38: Download complete +b8a35db46e38: Pull complete +Digest: sha256:66460d557b25769b102175144d538d88219c077c678a49af4afca6fbfc1b5252 +Status: Downloaded newer image for ubuntu:latest +docker.io/library/ubuntu:latest +``` + +```sh +$ docker images ubuntu +``` + +``` +REPOSITORY TAG IMAGE ID CREATED SIZE +ubuntu latest e149199029d1 5 weeks ago 101MB +``` + +Image size: 101MB, 7 layers. + +Checked OS version: + +```sh +$ docker run --name ubuntu_container ubuntu:latest cat /etc/os-release +``` + +``` +PRETTY_NAME="Ubuntu 24.04.3 LTS" +NAME="Ubuntu" +VERSION_ID="24.04" +VERSION="24.04.3 LTS (Noble Numbat)" +VERSION_CODENAME=noble +``` + +Exported the image to tar: + +```sh +$ docker save -o ubuntu_image.tar ubuntu:latest +$ ls -lh ubuntu_image.tar +``` + +``` +-rw-------@ 1 theother_archee staff 98M Nov 6 22:16 ubuntu_image.tar +``` + +Tar file is 98MB vs 101MB image size - slightly compressed. + +Tried to remove image while container exists: + +```sh +$ docker rmi ubuntu:latest +``` + +``` +Error response from daemon: conflict: unable to remove repository reference "ubuntu:latest" (must force) - container 027493ce0270 is using its referenced image e149199029d1 +``` + +Removed the container, then deletion worked: + +```sh +$ docker stop ubuntu_container && docker rm ubuntu_container +$ docker rmi ubuntu:latest +``` + +``` +Untagged: ubuntu:latest +Untagged: ubuntu@sha256:66460d557b25769b102175144d538d88219c077c678a49af4afca6fbfc1b5252 +Deleted: sha256:e149199029d15548c4f6d2666e88879360381a2be8a1b747412e3fe91fb1d19d +Deleted: sha256:ab34259f9ca5d315bec1b17d9f1ca272e84dedd964a8988695daf0ec3e0bbc2e +``` + +**Analysis:** + +Docker won't delete an image if containers reference it, even stopped ones. Prevents accidental data loss - containers might be restarted later. The tar export has all layers, metadata, and configs - basically a full snapshot you can load elsewhere with `docker load`. + +## Task 2 + +Deployed Nginx container: + +```sh +$ docker run -d -p 80:80 --name nginx_container nginx +``` + +Original welcome page: + +```sh +$ curl http://localhost +``` + +``` + + + +Welcome to nginx! +... +

If you see this page, the nginx web server is successfully installed and +working. Further configuration is required.

+... +``` + +Created custom HTML: + +```html + + +The best + + +

website

+ + +``` + +Copied it into container: + +```sh +$ docker cp index.html nginx_container:/usr/share/nginx/html/ +$ curl http://localhost +``` + +``` + + +The best + + +

website

+ + +``` + +Committed container to image: + +```sh +$ docker commit nginx_container my_website:latest +$ docker images my_website +``` + +``` +REPOSITORY TAG IMAGE ID CREATED SIZE +my_website latest d39e842e4c4f 1 second ago 173MB +``` + +Removed old container and deployed from custom image: + +```sh +$ docker rm -f nginx_container +$ docker run -d -p 80:80 --name my_website_container my_website:latest +$ curl http://localhost +``` + +``` + + +The best + + +

website

+ + +``` + +Custom content persisted. Checked the filesystem diff: + +```sh +$ docker diff my_website_container +``` + +``` +C /run +C /run/nginx.pid +C /etc +C /etc/nginx +C /etc/nginx/conf.d +C /etc/nginx/conf.d/default.conf +``` + +**Analysis:** + +`docker diff` shows `C` (Changed), `A` (Added), `D` (Deleted). Here we see `C` for runtime files like nginx.pid created at startup. Our index.html doesn't show up because it's part of the image, not a runtime change. + +`docker commit` is quick for testing but has no history/traceability. Dockerfiles are better - reproducible, version-controlled, production-ready. Use commit for experiments, Dockerfiles for real work. + +## Task 3 + +Created custom network: + +```sh +$ docker network create lab_network +$ docker network ls +``` + +``` +NETWORK ID NAME DRIVER SCOPE +3729ec83b295 bridge bridge local +e776b14296e2 host host local +39043654cc44 lab_network bridge local +88b67a18b8a6 none null local +``` + +Deployed two containers: + +```sh +$ docker run -dit --network lab_network --name container1 alpine ash +$ docker run -dit --network lab_network --name container2 alpine ash +``` + +Tested connectivity: + +```sh +$ docker exec container1 ping -c 3 container2 +``` + +``` +PING container2 (192.168.97.3): 56 data bytes +64 bytes from 192.168.97.3: seq=0 ttl=64 time=0.132 ms +64 bytes from 192.168.97.3: seq=1 ttl=64 time=0.513 ms +64 bytes from 192.168.97.3: seq=2 ttl=64 time=0.313 ms + +--- container2 ping statistics --- +3 packets transmitted, 3 packets received, 0% packet loss +round-trip min/avg/max = 0.132/0.319/0.513 ms +``` + +Containers can ping each other by name. Network inspection: + +```sh +$ docker network inspect lab_network +``` + +``` +[ + { + "Name": "lab_network", + "Driver": "bridge", + "Containers": { + "84ef3197866c0a6cc1a347349443872bb19b523bcac46bd6e26287373d9639b9": { + "Name": "container1", + "IPv4Address": "192.168.97.2/24" + }, + "18831f9536c9305143dc4215ef733eb66ba428a3cf033c9705db4defa1da7949": { + "Name": "container2", + "IPv4Address": "192.168.97.3/24" + } + } + } +] +``` + +DNS resolution: + +```sh +$ docker exec container1 nslookup container2 +``` + +``` +Server: 127.0.0.11 +Address: 127.0.0.11:53 + +Non-authoritative answer: +Name: container2 +Address: 192.168.97.3 +``` + +**Analysis:** + +Docker runs a DNS server at 127.0.0.11 in each container. On user-defined networks, container names are auto-registered. So `ping container2` resolves to IP automatically - no hardcoded IPs needed. User-defined networks beat default bridge because of DNS resolution and better isolation. Default bridge needs IP addresses and has less isolation. + +## Task 4 + +Created named volume: + +```sh +$ docker volume create app_data +$ docker volume ls +``` + +``` +DRIVER VOLUME NAME +local app_data +``` + +Deployed container with volume: + +```sh +$ docker run -d -p 80:80 -v app_data:/usr/share/nginx/html --name web nginx +``` + +Created custom HTML: + +```html +

Persistent Data

+``` + +Copied to volume: + +```sh +$ docker cp index_volume.html web:/usr/share/nginx/html/index.html +$ curl http://localhost +``` + +``` +

Persistent Data

+``` + +Destroyed and recreated container: + +```sh +$ docker stop web && docker rm web +$ docker run -d -p 80:80 -v app_data:/usr/share/nginx/html --name web_new nginx +$ curl http://localhost +``` + +``` +

Persistent Data

+``` + +Data persisted. Volume inspection: + +```sh +$ docker volume inspect app_data +``` + +``` +[ + { + "CreatedAt": "2025-11-06T22:18:56+03:00", + "Driver": "local", + "Mountpoint": "/var/lib/docker/volumes/app_data/_data", + "Name": "app_data", + "Scope": "local" + } +] +``` + +**Analysis:** + +Containers are ephemeral - delete them and data is gone. Volumes persist data across container lifecycles. Use volumes for databases, logs, configs, user uploads - anything that needs to survive. Volumes are Docker-managed and portable. Bind mounts map host directories directly - good for dev but less portable. Container storage is ephemeral - only for temp files. For production, volumes are the way to go. From 1321028705d0e57723ce6705239b7406d5db69e0 Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Wed, 12 Nov 2025 13:38:54 +0300 Subject: [PATCH 25/29] docs(lab 7): add Lab 7 submission covering GitOps fundamentals, including state reconciliation, health monitoring, and automated drift recovery --- labs/submission7.md | 177 ++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 177 insertions(+) create mode 100644 labs/submission7.md diff --git a/labs/submission7.md b/labs/submission7.md new file mode 100644 index 00000000..8ecd12e3 --- /dev/null +++ b/labs/submission7.md @@ -0,0 +1,177 @@ +# Lab 7 Submission – GitOps Fundamentals + +## Task 1 — Git State Reconciliation + +### Setting the Baseline +- `desired-state.txt` and the initial `current-state.txt` both described the same target: + +```startLine:endLine:gitops-lab/desired-state.txt +version: 1.0 +app: myapp +replicas: 3 +``` + +- I made sure the reconciliation script matched the lab brief: + +```startLine:endLine:gitops-lab/reconcile.sh +#!/bin/bash +# reconcile.sh - GitOps reconciliation loop + +DESIRED=$(cat desired-state.txt) +CURRENT=$(cat current-state.txt) + +if [ "$DESIRED" != "$CURRENT" ]; then + echo "$(date) - ⚠️ DRIFT DETECTED!" + echo "Reconciling current state with desired state..." + cp desired-state.txt current-state.txt + echo "$(date) - ✅ Reconciliation complete" +else + echo "$(date) - ✅ States synchronized" +fi +``` + +### Manual Drift And Recovery +- I intentionally rewrote `current-state.txt` with different values and ran the script: + +``` +$ ./reconcile.sh +Wed Nov 12 13:27:25 MSK 2025 - ⚠️ DRIFT DETECTED! +Reconciling current state with desired state... +Wed Nov 12 13:27:25 MSK 2025 - ✅ Reconciliation complete +``` + +- A quick `diff` afterwards returned nothing, and `current-state.txt` snapped back to the desired definition. + +### Continuous Loop (watch Replacement) +- The macOS shell here doesn’t ship with `watch`, so I mimicked the same five-second patrol with a tiny loop that injects drift mid-run: + +``` +$ bash -lc 'for i in 1 2 3; do echo "--- loop $i ---"; if [ "$i" -eq 2 ]; then echo "(injecting drift)"; echo "replicas: 10" >> current-state.txt; fi; ./reconcile.sh; sleep 1; done' +--- loop 1 --- +Wed Nov 12 13:28:54 MSK 2025 - ✅ States synchronized +--- loop 2 --- +(injecting drift) +Wed Nov 12 13:28:55 MSK 2025 - ⚠️ DRIFT DETECTED! +Reconciling current state with desired state... +Wed Nov 12 13:28:55 MSK 2025 - ✅ Reconciliation complete +--- loop 3 --- +Wed Nov 12 13:28:56 MSK 2025 - ✅ States synchronized +``` + +- The second pass spotted the unexpected `replicas: 10`, repaired the file, and the third pass confirmed the state was back in sync—close enough to a manual Argo-style reconciliation dance. + +### Task 1 Takeaways +- **How the loop prevents drift:** Git holds the golden copy, and every run of `reconcile.sh` compares the cluster snapshot (`current-state.txt`) against it. Any difference is overwritten instantly, which keeps the runtime state from drifting away from the declared truth. +- **Why declarative wins:** A single desired file is much easier to audit, peer-review, and roll back than a pile of ad-hoc `kubectl` commands. Once the desired state is committed, automation can keep enforcing it while humans focus on reasoned changes instead of firefights. + +## Task 2 — GitOps Health Monitoring + +### MD5-Based Health Checks +- The checksum-based watcher from the brief lives in `healthcheck.sh`: + +```startLine:endLine:gitops-lab/healthcheck.sh +#!/bin/bash +# healthcheck.sh - Monitor GitOps sync health + +DESIRED_MD5=$(md5sum desired-state.txt | awk '{print $1}') +CURRENT_MD5=$(md5sum current-state.txt | awk '{print $1}') + +if [ "$DESIRED_MD5" != "$CURRENT_MD5" ]; then + echo "$(date) - ❌ CRITICAL: State mismatch detected!" | tee -a health.log + echo " Desired MD5: $DESIRED_MD5" | tee -a health.log + echo " Current MD5: $CURRENT_MD5" | tee -a health.log +else + echo "$(date) - ✅ OK: States synchronized" | tee -a health.log +fi +``` + +- With everything clean, the output and log looked like this: + +``` +$ ./healthcheck.sh +Wed Nov 12 13:29:15 MSK 2025 - ✅ OK: States synchronized +``` + +- After appending `unapproved-change: true` to `current-state.txt`: + +``` +$ ./healthcheck.sh +Wed Nov 12 13:29:25 MSK 2025 - ❌ CRITICAL: State mismatch detected! + Desired MD5: a15a1a4f965ecd8f9e23a33a6b543155 + Current MD5: 48168ff3ab5ffc0214e81c7e2ee356f5 +``` + +- Running `./reconcile.sh` and `./healthcheck.sh` once more cleared the alert. + +### health.log Timeline +- The log retains every check, so you can see the initial alert followed by a bunch of green confirmations: + +```startLine:endLine:gitops-lab/health.log +Wed Nov 12 13:29:15 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:29:25 MSK 2025 - ❌ CRITICAL: State mismatch detected! + Desired MD5: a15a1a4f965ecd8f9e23a33a6b543155 + Current MD5: 48168ff3ab5ffc0214e81c7e2ee356f5 +Wed Nov 12 13:29:37 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:29:50 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:29:53 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:29:56 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:29:59 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:02 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:05 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:08 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:11 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:14 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:17 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:33 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:36 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:39 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:42 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:45 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:48 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:52 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:55 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:58 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:31:01 MSK 2025 - ✅ OK: States synchronized +``` + +### monitor.sh In Action +- I wrapped the health check and reconciliation into one script for a quick-and-dirty “operator”: + +```startLine:endLine:gitops-lab/monitor.sh +#!/bin/bash +# monitor.sh - Combined reconciliation and health monitoring + +printf "Starting GitOps monitoring...\n" +for i in {1..10}; do + printf "\n--- Check #%d ---\n" "$i" + ./healthcheck.sh + ./reconcile.sh + sleep 3 +done +``` + +- A single run produces a steady stream of happy logs: + +``` +$ ./monitor.sh +Starting GitOps monitoring... + +--- Check #1 --- +Wed Nov 12 13:30:33 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:33 MSK 2025 - ✅ States synchronized +# (output trimmed for brevity — checks 2 through 9 look identical) +--- Check #10 --- +Wed Nov 12 13:31:01 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:31:01 MSK 2025 - ✅ States synchronized +``` + +### Task 2 Thoughts +- **Checksums catch everything:** Comparing MD5 hashes is cheaper than diffing the whole file and flags any byte-level change, even if it is just a whitespace tweak. That’s essentially what GitOps controllers do when they calculate manifests’ fingerprints. +- **Link to ArgoCD:** ArgoCD’s sync status shows “Synced” or “OutOfSync” based on the same idea—hashing rendered manifests and comparing them against what’s running. When it spots a mismatch it can either alert you or immediately “reconcile” just like our scripts. +- **Why logs matter:** Keeping `health.log` gives you a timeline to trace when drift started, similar to Operator events in Kubernetes. That history is invaluable when you need to prove compliance or find a noisy component. + +## Final Reflection +- Having a tiny Git repo plus these three scripts was enough to feel the GitOps feedback loop end-to-end: declare once, let automation do the rest, and capture evidence whenever state wiggles out of line. +- The exercise also highlighted that tooling gaps (like missing `watch`) are easy to work around as long as the core principles stay intact: Git as the source of truth, automatic reconciliation, and health reporting built on top of simple, auditable commands. +- Compared with manually babysitting configs, this workflow felt calmer—once the guardrails were in place, any drift became obvious and short-lived. + From 43543306e380124c968b3aed5bdbdd94e59402c8 Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Wed, 12 Nov 2025 13:43:06 +0300 Subject: [PATCH 26/29] feat: add gitops reconciliation scripts with health monitoring --- gitops-lab/current-state.txt | 3 +++ gitops-lab/desired-state.txt | 3 +++ gitops-lab/health.log | 25 +++++++++++++++++++++++++ gitops-lab/healthcheck.sh | 13 +++++++++++++ gitops-lab/monitor.sh | 10 ++++++++++ gitops-lab/reconcile.sh | 14 ++++++++++++++ 6 files changed, 68 insertions(+) create mode 100644 gitops-lab/current-state.txt create mode 100644 gitops-lab/desired-state.txt create mode 100644 gitops-lab/health.log create mode 100755 gitops-lab/healthcheck.sh create mode 100755 gitops-lab/monitor.sh create mode 100755 gitops-lab/reconcile.sh diff --git a/gitops-lab/current-state.txt b/gitops-lab/current-state.txt new file mode 100644 index 00000000..345c3ef0 --- /dev/null +++ b/gitops-lab/current-state.txt @@ -0,0 +1,3 @@ +version: 1.0 +app: myapp +replicas: 3 diff --git a/gitops-lab/desired-state.txt b/gitops-lab/desired-state.txt new file mode 100644 index 00000000..345c3ef0 --- /dev/null +++ b/gitops-lab/desired-state.txt @@ -0,0 +1,3 @@ +version: 1.0 +app: myapp +replicas: 3 diff --git a/gitops-lab/health.log b/gitops-lab/health.log new file mode 100644 index 00000000..2c5246e1 --- /dev/null +++ b/gitops-lab/health.log @@ -0,0 +1,25 @@ +Wed Nov 12 13:29:15 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:29:25 MSK 2025 - ❌ CRITICAL: State mismatch detected! + Desired MD5: a15a1a4f965ecd8f9e23a33a6b543155 + Current MD5: 48168ff3ab5ffc0214e81c7e2ee356f5 +Wed Nov 12 13:29:37 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:29:50 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:29:53 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:29:56 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:29:59 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:02 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:05 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:08 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:11 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:14 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:17 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:33 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:36 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:39 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:42 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:45 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:48 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:52 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:55 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:30:58 MSK 2025 - ✅ OK: States synchronized +Wed Nov 12 13:31:01 MSK 2025 - ✅ OK: States synchronized diff --git a/gitops-lab/healthcheck.sh b/gitops-lab/healthcheck.sh new file mode 100755 index 00000000..28edd239 --- /dev/null +++ b/gitops-lab/healthcheck.sh @@ -0,0 +1,13 @@ +#!/bin/bash +# healthcheck.sh - Monitor GitOps sync health + +DESIRED_MD5=$(md5sum desired-state.txt | awk '{print $1}') +CURRENT_MD5=$(md5sum current-state.txt | awk '{print $1}') + +if [ "$DESIRED_MD5" != "$CURRENT_MD5" ]; then + echo "$(date) - ❌ CRITICAL: State mismatch detected!" | tee -a health.log + echo " Desired MD5: $DESIRED_MD5" | tee -a health.log + echo " Current MD5: $CURRENT_MD5" | tee -a health.log +else + echo "$(date) - ✅ OK: States synchronized" | tee -a health.log +fi diff --git a/gitops-lab/monitor.sh b/gitops-lab/monitor.sh new file mode 100755 index 00000000..f8792127 --- /dev/null +++ b/gitops-lab/monitor.sh @@ -0,0 +1,10 @@ +#!/bin/bash +# monitor.sh - Combined reconciliation and health monitoring + +printf "Starting GitOps monitoring...\n" +for i in {1..10}; do + printf "\n--- Check #%d ---\n" "$i" + ./healthcheck.sh + ./reconcile.sh + sleep 3 +done diff --git a/gitops-lab/reconcile.sh b/gitops-lab/reconcile.sh new file mode 100755 index 00000000..022bc936 --- /dev/null +++ b/gitops-lab/reconcile.sh @@ -0,0 +1,14 @@ +#!/bin/bash +# reconcile.sh - GitOps reconciliation loop + +DESIRED=$(cat desired-state.txt) +CURRENT=$(cat current-state.txt) + +if [ "$DESIRED" != "$CURRENT" ]; then + echo "$(date) - ⚠️ DRIFT DETECTED!" + echo "Reconciling current state with desired state..." + cp desired-state.txt current-state.txt + echo "$(date) - ✅ Reconciliation complete" +else + echo "$(date) - ✅ States synchronized" +fi From cf962067e5363bbd144782b724fea186ef1f00f2 Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Wed, 26 Nov 2025 23:44:31 +0300 Subject: [PATCH 27/29] docs: complete lab8 SRE monitoring setup with system analysis and Checkly checks --- .../submission8/lab8-checkly-alerts.png | Bin 0 -> 749390 bytes labs/images/submission8/lab8-checkly-api.png | Bin 0 -> 529619 bytes .../submission8/lab8-checkly-browser.png | Bin 0 -> 442566 bytes .../submission8/lab8-checkly-dashboard.png | Bin 0 -> 168898 bytes .../submission8/lab8-checkly-result.png | Bin 0 -> 345007 bytes labs/submission8.md | 173 ++++++++++++++++++ 6 files changed, 173 insertions(+) create mode 100644 labs/images/submission8/lab8-checkly-alerts.png create mode 100644 labs/images/submission8/lab8-checkly-api.png create mode 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zdJS9{dpq%|{^|#8#Z`WKZ?bM~d|k*a9W8xgrm_0F-Y8B628LyxE{-Ac|895RkI?$Q zbwk2J`#%TmW(PBu=X gX%z-6tsebn4BzypNs~!tI?%-op00i_>zopr01+_08vp { + await page.goto('https://news.ycombinator.com/', { waitUntil: 'networkidle' }); + await expect(page.locator('td.title a.storylink').first()).toContainText(/./); + await expect(page.locator('span.score').first()).toContainText('points'); +}); +``` + +- Thresholds: page load < 1.2 s, script duration < 2 s +- Runs every 10 minutes from the same two regions +- Screenshot: + +![Browser check configuration](images/submission8/lab8-checkly-browser.png) + +### Alerting setup + +- Channel: email → `theother_archee@icloud.com` +- Rules: + - Immediate alert if API check fails 2 times in a row + - Warning email if p95 latency > 700 ms over the last 3 runs + - Critical email + SMS (Checkly fallback) if browser check fails twice in 15 minutes +- Screenshot: + +![Alert policy](images/submission8/lab8-checkly-alerts.png) + +### Dashboard overview + +- Both checks grouped under “Lab 8 – HN Watch”. +- Dashboard widgets: + - Uptime sparkline (last 24h) + - Avg response time per region + - Last 5 synthetic transactions +- Screenshot: + +![Checkly dashboard](images/submission8/lab8-checkly-dashboard.png) + +### Task 2 Analysis & Reflection + +- **Why these checks:** Hacker News ships plain HTML, so a fast GET confirms origin availability; the Playwright script ensures the front-page stories and scores still render (catches template issues even when status 200). Latency thresholds are lenient enough to avoid flapping but tight enough to spot edge CDN hiccups. +- **Reliability gain:** With both layers running, I get notified if: + - The site is outright down (status check). + - The layout breaks or stories vanish (browser check). + - Performance quietly degrades before readers yell (latency alert). +- The combo keeps mean time to detection low and gives a quick go/no-go signal before I waste time debugging a slow morning scroll. + +--- + +## Final Thoughts + +- System-side: CPU spikes were mostly tools I control. Cleaning caches and letting Spotlight finish indexing should keep the machine quiet. Disk pressure is manageable but Chrome leftovers deserve a cron cleanup. +- Monitoring-side: Translating SRE ideas into Checkly forced me to think in user journeys, not just status codes. Capturing both raw availability and synthetic UX gives confidence I’d spot real incidents fast. The alert rules are intentionally lightweight to avoid fatigue while still nudging me when latency creeps up. From c38e4a6d57c8f2fcc2553a349d5d95413c435a9c Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Thu, 27 Nov 2025 00:20:28 +0300 Subject: [PATCH 28/29] docs: add lab9 DevSecOps submission with ZAP and Trivy scans --- labs/images/submission9/trivy-scan.png | Bin 0 -> 439338 bytes labs/images/submission9/zap-report.png | Bin 0 -> 547574 bytes labs/submission9.md | 161 +++++++++++++++++++++++++ 3 files changed, 161 insertions(+) create mode 100644 labs/images/submission9/trivy-scan.png create mode 100644 labs/images/submission9/zap-report.png create mode 100644 labs/submission9.md diff --git a/labs/images/submission9/trivy-scan.png b/labs/images/submission9/trivy-scan.png new file mode 100644 index 0000000000000000000000000000000000000000..faa2187f951e4dd66367ca1be91f559e3a2f0ece GIT binary patch literal 439338 zcmeFZWn5J4-Zo4K$e@4qeqVpEBM;3U$Pb)AOj`P!fMKP`~+YQ}ZSPBh#8; 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1 — Web Application Scanning with OWASP ZAP + +### Target +- **App:** OWASP Juice Shop (intentionally vulnerable) +- **URL:** `http://localhost:3000` +- **Deployed:** Docker container `bkimminich/juice-shop` + +### ZAP Scan Results + +**Summary:** +- Scanned 95 URLs +- **Medium:** 2 alerts +- **Low:** 5 alerts +- **Informational:** 4 alerts + +**Medium Risk (2):** +1. **Content Security Policy (CSP) Header Not Set** (11 instances) — No CSP headers means XSS attacks are easier to pull off +2. **Cross-Domain Misconfiguration** (11 instances) — CORS issues that could enable CSRF attacks + +**Low Risk (5):** +- Cross-Domain JavaScript Source File Inclusion (10 instances) +- Dangerous JS Functions like `eval()` (2 instances) +- Deprecated Feature Policy Header (11 instances) +- Insufficient Site Isolation (10 instances) +- Timestamp Disclosure (9 instances) + +### Two Most Interesting Vulnerabilities + +**1. CSP Header Not Set** + +CSP is a defense-in-depth layer that tells browsers what scripts/resources are allowed. Without it, any XSS bug becomes way more dangerous because there's nothing blocking malicious scripts. Super common oversight — easy to miss, easy to fix. + +**2. Dangerous JS Functions** + +Found `eval()` or similar functions that can execute arbitrary code. If user input reaches these without sanitization, you're looking at remote code execution. In a Node.js app, that's game over. + +### Security Headers Status + +**Missing:** +- CSP — should be there +- X-Content-Type-Options — should be "nosniff" +- HSTS — not applicable for HTTP, but needed in production + +**Present:** +- Feature-Policy — but it's deprecated, should use Permissions-Policy instead + +Headers matter because they're the first line of defense. Even if your code has bugs, proper headers can mitigate the damage. + +### Screenshot + +![ZAP HTML Report Overview](images/submission9/zap-report.png) + +### Task 1 Analysis + +**What type of vulnerabilities are most common in web applications?** + +From this scan, the pattern is clear: + +1. **Configuration issues** — Missing headers, deprecated policies. These don't break functionality, so they get ignored until someone scans. + +2. **Cross-domain problems** — Modern apps use CDNs and multiple domains, so CORS misconfigurations are everywhere. + +3. **Information leakage** — Timestamps, stack traces, version numbers. Developers expose way more than needed. + +4. **Unsafe APIs** — Using `eval()` or `innerHTML` because it's convenient, not realizing the security implications. + +Most of these are easy to fix but easy to miss. That's why automated scanning is essential — catches what humans overlook. + +--- + +## Task 2 — Container Vulnerability Scanning with Trivy + +### Target +- **Image:** `bkimminich/juice-shop:latest` +- **Base OS:** Debian 12.12 (clean, no OS vulnerabilities) + +### Trivy Scan Results + +**Summary:** +- **CRITICAL:** 8 +- **HIGH:** 22 +- **Total:** 30 HIGH/CRITICAL vulnerabilities +- **Secrets:** Found 2 RSA private keys in source code (yikes) + +All vulnerabilities are in Node.js packages. The base OS is clean. + +### Two Vulnerable Packages with CVE IDs + +**1. crypto-js (CVE-2023-46233) — CRITICAL** +- Version: 3.3.0 → should be 4.2.0 +- Issue: PBKDF2 is 1,000x weaker than 1993 spec and 1.3M times weaker than current recommendations +- Impact: Weak crypto = easier to crack encrypted data + +**2. vm2 (CVE-2023-32314) — CRITICAL** +- Version: 3.9.17 → should be 3.9.18 +- Issue: Sandbox escape +- Impact: Attackers can break out of the sandbox and run code on the host + +**Other critical ones:** +- jsonwebtoken (CVE-2015-9235) — verification bypass +- lodash (CVE-2019-10744) — prototype pollution +- marsdb (GHSA-5mrr-rgp6-x4gr) — command injection + +### Most Common Vulnerability Type + +**Prototype pollution and code injection** dominate: +- lodash has multiple prototype pollution CVEs +- marsdb, vm2, jsonwebtoken all have code execution/bypass issues +- crypto-js has weak cryptography + +JavaScript's flexibility is a double-edged sword. Third-party deps introduce risk, especially in security-critical libraries (crypto, auth). + +### Screenshot + +![Trivy Scan Output](images/submission9/trivy-scan.png) + +### Task 2 Analysis + +**Why is container image scanning important before deploying to production?** + +Simple answer: catch vulnerabilities before they hit production. In this scan, we found 30 HIGH/CRITICAL issues that could lead to: +- Remote code execution (vm2, marsdb) +- Auth bypass (jsonwebtoken) +- Data compromise (crypto-js, prototype pollution) + +Fixing these in production costs way more than fixing them during development. Plus, scanning gives you severity ratings to prioritize — CRITICAL should block deployments, HIGH needs attention. + +Base images can have vulnerabilities too (though Debian 12.12 was clean here). Supply chain attacks are real, so scanning helps catch compromised packages before they reach production. + +### Task 2 Reflection + +**How would you integrate these scans into a CI/CD pipeline?** + +**Basic setup:** +- Run Trivy on every Docker build, fail on CRITICAL +- Run ZAP on staging deployments +- Generate reports (SARIF, HTML) and store them + +**Policy:** +- Development: warn on HIGH, fail on CRITICAL +- Staging: fail on HIGH, require approval +- Production: zero tolerance — all HIGH/CRITICAL must be fixed + +**Automation:** +- Use Dependabot/Renovate for dependency updates +- Send alerts to Slack/email +- Track trends over time + +The key is making security part of the workflow, not an afterthought. Start strict, adjust based on your team's capacity, but always prioritize CRITICAL vulnerabilities that could lead to RCE or data breaches. + +--- + +## Final Thoughts + +Both scans found real issues. ZAP caught missing headers and misconfigurations — easy fixes that are easy to miss. Trivy found 30 HIGH/CRITICAL vulnerabilities in dependencies — the kind that could lead to RCE or data breaches. + +The takeaway: automated scanning is essential. Manual reviews don't scale, and these tools catch what humans miss. Combining application-level (ZAP) and container-level (Trivy) scanning gives you defense-in-depth, catching vulnerabilities at different layers. + +Most vulnerabilities are in dependencies and configuration, not your code. That's both good news (easier to fix) and bad news (harder to spot without scanning). From d2afa5f0d2d8aa6dece0ce08159334dd9575cc5a Mon Sep 17 00:00:00 2001 From: Arthur Babkin Date: Thu, 27 Nov 2025 00:47:52 +0300 Subject: [PATCH 29/29] docs: add lab10 cloud fundamentals submission --- labs/submission10.md | 145 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 145 insertions(+) create mode 100644 labs/submission10.md diff --git a/labs/submission10.md b/labs/submission10.md new file mode 100644 index 00000000..b0508484 --- /dev/null +++ b/labs/submission10.md @@ -0,0 +1,145 @@ +# Lab 10 Submission — Cloud Computing Fundamentals + +## Task 1 — Artifact Registries Research + +### Services Overview + +**AWS:** +- **Amazon Elastic Container Registry (ECR):** Private Docker/OCI registry with vulnerability scanning (Amazon Inspector), encryption at rest, IAM integration, cross-region/account replication, and CI/CD hooks. +- **AWS CodeArtifact:** Managed package repository for Maven, npm, PyPI, NuGet, and Cargo. Integrates with standard package managers and AWS build tools. + +**Google Cloud:** +- **Artifact Registry:** Unified registry for container images and language packages (Maven, npm, Python, Go, etc.). Includes IAM, vulnerability scanning, attestations, and Cloud Build integration. + +**Azure:** +- **Azure Container Registry (ACR):** Private Docker/OCI registry with geo-replication (Premium tier), content trust/signing, Private Link, and ACR Tasks. +- **Azure Artifacts:** Azure DevOps service for language packages (npm, Maven, NuGet, Python, Cargo, Universal Packages). + +### Supported Artifact Types + +| Cloud | Service | Containers | Helm | Maven | npm | Python | NuGet | Go | OS Packages | Generic | +|-------|---------|-----------|------|-------|-----|--------|-------|----|-------------|---------| +| AWS | ECR | ✅ | ✅ (OCI) | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ✅ (OCI) | +| AWS | CodeArtifact | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ (Cargo) | ❌ | ❌ | +| GCP | Artifact Registry | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | ✅ (apt/yum) | ✅ | +| Azure | ACR | ✅ | ✅ (OCI) | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | +| Azure | Azure Artifacts | ❌ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ (Cargo) | ❌ | ✅ (Universal) | + +### Key Features + +**Security & Compliance:** +- **ECR:** Image scanning via Inspector, KMS/SSE encryption, IAM policies +- **Artifact Registry:** Vulnerability scanning and attestations, IAM +- **ACR:** Image signing/content trust, Defender integrations, private networking + +**Networking & Replication:** +- **ECR:** Cross-region and cross-account replication, VPC endpoints +- **Artifact Registry:** Regional repositories, Private Service Connect +- **ACR:** Geo-replication (Premium tier), Private Link + +**CI/CD & Ecosystem:** +- **ECR:** Tight integration with ECS/EKS/CodeBuild/CodePipeline +- **Artifact Registry:** Cloud Build, Cloud Deploy, GKE +- **ACR:** AKS, GitHub Actions/Azure Pipelines, ACR Tasks (builds, base-image updates) + +### Comparison Table + +| Factor | AWS ECR | GCP Artifact Registry | Azure ACR | +|--------|---------|----------------------|-----------| +| Artifact formats | Docker/OCI | Docker/OCI + Maven/npm/Python/Go/OS packages | Docker/OCI | +| Vulnerability scanning | ✅ (Inspector) | ✅ (Artifact Analysis) | ✅ (Defender/partner) | +| Replication | Cross-region/account | Regional repos | Geo-replication (Premium) | +| Access control | IAM | IAM | RBAC/AAD | +| Private networking | VPC endpoints | Private Service Connect | Private Link | +| CI/CD integration | ECS/EKS/Code* | Cloud Build/Deploy/GKE | AKS/ACR Tasks/Pipelines | +| Pricing | Storage + egress | Storage + egress | SKU tier + features | + +### Analysis: Multi-Cloud Strategy + +For a multi-cloud setup, **GCP Artifact Registry** is the most unified option — it covers containers, language packages, and OS packages in one service. If you need everything in one place, it's hard to beat. + +For **AWS-centric stacks**, pair **ECR** (images) with **CodeArtifact** (packages) for full coverage and deep AWS integration. + +For **Azure-centric stacks** that need geo-replication and private networking, **ACR Premium** makes sense. + +**Bottom line:** Choose based on your platform preference and network/replication needs. Keep artifacts OCI-compliant and policies portable to avoid lock-in. + +--- + +## Task 2 — Serverless Computing Platform Research + +### Services Overview + +**AWS:** +- **Lambda:** Functions-as-a-Service (FaaS) with rich event ecosystem (S3, SNS, EventBridge, API Gateway). Max runtime **15 minutes**. Cold start mitigation: Provisioned Concurrency, SnapStart (Java). + +**Google Cloud:** +- **Cloud Functions (Gen2) / Cloud Run:** Functions on Cloud Run or direct serverless containers with HTTP/event triggers. Cloud Run allows per-request runtimes up to **60 minutes** and supports minimum instances to keep containers warm. + +**Azure:** +- **Azure Functions:** FaaS with multiple hosting plans. **Consumption** has default timeout up to **10 minutes**; **Premium** reduces cold starts via pre-warmed instances and allows longer runtimes with VNet integration. + +### Runtimes and Execution Models + +**Lambda:** Multiple managed runtimes (Node.js, Python, Java, .NET, Ruby, Go) or custom container images. Automatic scaling, concurrency controls, wide event sources. + +**Cloud Functions/Run:** HTTP and event triggers, Pub/Sub, Eventarc. Min/max instances for scale and cold-start control. Supports Node.js, Python, Go, Java, .NET, PHP, Ruby. + +**Azure Functions:** HTTP/queue/timer/event triggers. Premium keeps instances pre-warmed. Deep Azure integrations. Supports JavaScript/TypeScript, C#/F#, Python, Java, PowerShell, custom handlers. + +### Performance Characteristics + +**Cold starts:** +- Lambda: Provisioned Concurrency and SnapStart reduce startup latency +- Cloud Run: Min instances keep containers hot +- Azure Functions Premium: Pre-warmed workers + +**Throughput & concurrency:** All three provide automatic scaling with per-platform concurrency and quota controls. + +**Observability:** CloudWatch (AWS), Cloud Logging/Trace (GCP), Application Insights (Azure). + +### Limits and Timeouts + +| Platform | Max Duration | Cold-Start Mitigation | +|----------|--------------|----------------------| +| AWS Lambda | 15 minutes | Provisioned Concurrency, SnapStart (Java) | +| GCP Cloud Run | 60 minutes | Min instances | +| GCP Cloud Functions (Gen2) | Inherits Cloud Run (60 min) | Min instances | +| Azure Functions | 10 min (Consumption), longer on Premium | Pre-warmed instances (Premium) | + +### Comparison Table + +| Factor | AWS Lambda | GCP Cloud Functions / Cloud Run | Azure Functions | +|--------|------------|--------------------------------|-----------------| +| Model | FaaS | FaaS / serverless containers | FaaS | +| Max duration | 15 min | 60 min (Cloud Run HTTP) | 10 min (Consumption), longer in Premium | +| Cold start mitigation | Provisioned Concurrency, SnapStart | Min instances (Cloud Run) | Pre-warmed instances (Premium) | +| Triggers | Broad AWS events + HTTP | HTTP, Pub/Sub, Eventarc | HTTP, Timer, Queues, Event Hub | +| Networking | VPC integration | VPC/serverless VPC access | VNet integration | +| Pricing | Requests + GB-s + optional provisioned | Requests + time/CPU/mem | Requests + time; Premium warm cost | + +### Analysis: Best Fit for REST API Backend + +For **low latency, AWS-native** setups: **Lambda with Provisioned Concurrency** provides predictable startup at extra cost. + +For **containerized HTTP with more control**: **Cloud Run** offers standard containers, long HTTP timeouts (60 min), and min instances to keep things warm. Best choice if you want flexibility. + +For **Azure-native with stable latency**: **Functions on Premium plan** for pre-warmed workers and VNet integration. + +I'd lean toward **Cloud Run** for a REST API — it accepts standard containers or functions, allows high concurrency per instance, has the longest HTTP timeout, and lets you keep a warm instance running to smooth out latency. + +### Reflection: Pros & Cons of Serverless + +**Pros:** +- No server management +- Automatic scaling +- Pay-for-use +- Scale-to-zero + +**Cons:** +- Cold starts can cause delays +- Per-platform limits and quotas +- Requires tuning for latency +- Possible vendor lock-in with proprietary triggers and monitoring + +The trade-off is clear: you get operational simplicity and cost efficiency, but you lose some control and have to work around platform-specific limitations.