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.
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!
This is the final slide index extracted from lectures/lec*.md. Each lecture expands to list all slide titles and links to the source file.
📌 Lecture 1 - Introduction to DevOps (37 slides)
Source: lectures/lec1.md
- 📍 Slide 1 – 🚀 What is DevOps?
- 📍 Slide 2 – 📜 A Brief History of DevOps
- 📍 Slide 3 – 🎯 Why DevOps? (Key Goals)
- 📍 Slide 4 – ⚖️ DevOps vs. Traditional IT
- 📍 Slide 5 – 🔑 Core Principles: The CAMS Model
- 📍 Slide 6 – 🌱 Culture in DevOps
- 📍 Slide 7 – 🔄 Shift-Left Mindset
- 📍 Slide 8 – 👥 Collaboration Between Teams
- 📍 Slide 9 – 🔔 Feedback Loops
- 📍 Slide 10 – 📚 Continuous Learning & Blameless Postmortems
- 📍 Slide 11 – 🏗️ Infrastructure as Code (IaC)
- 📍 Slide 12 – 🔄 Continuous Integration (CI) Basics
- 📍 Slide 13 – 🚀 Continuous Delivery & Deployment (CD)
- 📍 Slide 14 – 🐮 Cattle vs. Pets (Immutable Infrastructure)
- 📍 Slide 15 – 📊 DevOps Metrics & KPIs
- 📍 Slide 16 – 🤖 Automation First Approach
- 📍 Slide 17 – ⚙️ Configuration Management
- 📍 Slide 18 – 📦 Containerization Basics
- 📍 Slide 19 – 🗂️ Orchestration Basics (Kubernetes Preview)
- 📍 Slide 20 – 🔍 Observability (Logs, Metrics, Tracing)
- 📍 Slide 21 – 📂 Version Control (Git Basics)
- 📍 Slide 22 – ⚙️ CI/CD Tools Overview
- 📍 Slide 23 – 📦 Artifact Repositories
- 📍 Slide 24 – 🏗️ Infrastructure as Code (IaC) Tools
- 📍 Slide 25 – ☁️ Cloud Providers
- 📍 Slide 26 – 💬 Collaboration Tools
- 📍 Slide 27 – 🔄 Typical DevOps Pipeline Workflow
- 📍 Slide 28 – 🐙 Example: GitHub Actions CI/CD Workflow
- 📍 Slide 29 – 🎬 Case Study: Netflix & Simian Army
- 📍 Slide 30 – 📦 Case Study: Amazon’s “You Build It, You Run It”
- 📍 Slide 31 –
⚠️ Challenges in DevOps Adoption - 📍 Slide 32 – 🌟 Best Practices for DevOps Success
- 📍 Slide 33 – 🌀 DevOps Myths & Misconceptions
- 📍 Slide 34 – ⚖️ Balancing Speed vs Stability (DevOps vs SRE)
- 📍 Slide 35 – 📚 Summary of Key DevOps Concepts
- 📍 Slide 36 – 📖 Recommended Reading & Learning
- 📍 Slide 37 – 🛠️ Hands-on Practice Resources
📌 Lecture 2 - Version Control (37 slides)
Source: lectures/lec2.md
- 📍 Slide 1 – 🧭 What is a Version Control System (VCS)?
- 📍 Slide 2 – 🔎 Why We Need Version Control
- 📍 Slide 3 – 🕰️ A Short History of VCS (to Understand Today)
- 📍 Slide 4 – 🧭 Centralized vs Distributed VCS
- 📍 Slide 5 – 🧰 The Git Ecosystem (What We’ll Use)
- 📍 Slide 6 – 🏁 Getting Started with Git (Install & First Config)
- 📍 Slide 7 – 🧩 Git’s Mental Model: Working Tree, Staging (Index), Repository
- 📍 Slide 8 – 🧱 Commits, Trees & Hashes (SHA = Secure Hash Algorithm)
- 📍 Slide 9 – 🌿 Branches & 🎯 HEAD (Current Position)
- 📍 Slide 10 – 🧪 The Basic Local Workflow (Edit → Stage → Commit)
- 📍 Slide 11 – 🔍 Exploring History (Logs, Shows, Blame, Search)
- 📍 Slide 12 – 🧮 Understanding Diffs (Working, Staged, Commits, Ranges)
- 📍 Slide 13 – 🔀 Rebase vs. Merge (and When to Use Each)
- 📍 Slide 14 – ♻️ Undo & Recovery (Without Tears)
- 📍 Slide 15 – 🌐 Collaborating with Remotes (Clone, Fetch, Pull, Push)
- 📍 Slide 16 – 🛣️ Branching Strategies: GitFlow, GitHub Flow, Trunk-Based
- 📍 Slide 17 – 👀 Pull Requests (PR) / Merge Requests (MR) & Code Review
- 📍 Slide 18 – 🏷️ Tags & Releases (Versioning for Humans and Machines)
- 📍 Slide 19 – 🗃️ Stashing Work-in-Progress (WIP) with Git Stash
- 📍 Slide 20 – 🤖 Git Hooks & Local Automation (Quality Gates)
- 📍 Slide 21 – 🪵 Large Files & Huge Repositories (LFS, Sparse, Partial)
- 📍 Slide 22 – 🧭 Other Version Control Systems (Landscape & Use Cases)
- 📍 Slide 23 – ⚖️ Git vs. SVN (Subversion) — Models & Workflows
- 📍 Slide 24 – ⚖️ Git vs. Mercurial (Hg) — Same Goal, Different Feel
- 📍 Slide 25 – ⚔️ War Stories & History Nuggets (Git vs the Old Guard)
- 📍 Slide 26 – 🐧 Case Study: Linux Kernel Workflow at Scale
- 📍 Slide 27 – 🏢 Case Study: Enterprise Migration & “Git at Scale”
- 📍 Slide 28 – 🧭 Team Best Practices (Day-to-Day Git Hygiene)
- 📍 Slide 29 – 🧯 Common Pitfalls & Recovery Patterns
- 📍 Slide 30 – 🔐 Security, Signing & Compliance (Trust Your History)
- 📍 Slide 31 – 🧱 Beyond Code: Everything-as-Code & 🚢 GitOps
- 📍 Slide 32 – 🧭 Learning Resources & 🎯 Practice Playground
- 📍 Slide 33 – 🧾 Summary & ✅ Next Steps (Hands-On)
- 📍 Slide 34 – 🔭 Trends in Version Control: Decentralization & Content Addressing
- 📍 Slide 35 – 🧊 Using IPFS with Git (CIDs, Pinning, Remotes)
- 📍 Slide 36 – 🕸️ Radicle: P2P, Sovereign Code Collaboration (Built on Git)
- 📍 Slide 37 – ⛓️ Blockchain-Backed Collaboration: Gitopia & Timestamps
📌 Lecture 3 - CI/CD (42 slides)
Source: lectures/lec3.md
- 📍 Slide 1 – 🌍 What is CI/CD?
- 📍 Slide 2 – 🕰️ Short History of CI/CD
- 📍 Slide 3 – 📈 Why CI/CD Matters
- 📍 Slide 4 – 🏗️ Core Principles of Continuous Integration
- 📍 Slide 5 – 🔄 CI Workflow (Commit → Build → Test → Package)
- 📍 Slide 6 – 📂 Build Automation Basics
- 📍 Slide 7 – 🧪 Automated Testing in CI
- 📍 Slide 8 – 🛠️ Popular CI Tools (1/2)
- 📍 Slide 9 – 🛠️ Popular CI Tools (2/2)
- 📍 Slide 10 – 🚚 Continuous Delivery vs Continuous Deployment
- 📍 Slide 11 – 🛤️ Release Pipeline Explained
- 📍 Slide 12 – 🧩 Configuration Management & IaC in CD
- 📍 Slide 13 – 🌱 Blue-Green Deployment (Concept & History)
- 📍 Slide 14 – 🏢 Blue-Green Deployment (Real-World Use Cases)
- 📍 Slide 15 – 🐤 Canary Deployment (Concept & History)
- 📍 Slide 16 – 🚏 Canary Deployment (Real-World Examples)
- 📍 Slide 17 – 🧪 A/B Testing (Concept & History)
- 📍 Slide 18 – 🏆 A/B Testing (Real-World Use Cases)
- 📍 Slide 19 – 🔄 Rolling & Shadow Deployments
- 📍 Slide 20 – 📦 CI/CD Pipeline Stages Explained
- 📍 Slide 21 – 🔄 Event-Driven Pipelines (Triggers)
- 📍 Slide 22 – 📝 Pipelines as Code
- 📍 Slide 23 – 🧑🤝🧑 Branching Models with CI/CD
- 📍 Slide 24 – ⚡ Pipeline Optimization Techniques
- 📍 Slide 25 – 🐳 CI/CD with Containers (Docker & Podman)
- 📍 Slide 26 – ☸️ CI/CD with Kubernetes (Helm, ArgoCD, Flux)
- 📍 Slide 27 – ☁️ Cloud-Native CI/CD Services
- 📍 Slide 28 – 🎯 Observability & Monitoring in CI/CD
- 📍 Slide 29 – 🔄 Rollbacks & Recovery in CI/CD
- 📍 Slide 30 – 🧯 Common Issues & Anti-Patterns
- 📍 Slide 31 – 🔒 Security in CI/CD Pipelines
- 📍 Slide 32 – 📜 Compliance, Audit & Governance in CI/CD
- 📍 Slide 33 – 🛡️ Security Tools for CI/CD
- 📍 Slide 34 – 🧪 Case Study: GitHub Actions vs GitLab CI vs Jenkins
- 📍 Slide 35 – 🌐 Industry Adoption & Statistics of CI/CD
- 📍 Slide 36 – 🔮 Emerging Trends in CI/CD
- 📍 Slide 37 – 🧵 Decentralized & P2P CI/CD Concepts
- 📍 Slide 38 – 🏆 Best Practices from Top Companies
- 📍 Slide 39 – 📖 CI/CD Lifecycle in One Diagram
- 📍 Slide 40 – 📚 Recommended Readings & Resources
- 📍 Slide 41 – 🖥️ Hands-On Practice Suggestions
- 📍 Slide 42 – ❓ Q&A + Reflection
📌 Lecture 4 - Networking & OS for DevOps (37 slides)
Source: lectures/lec4.md
- 📍 Slide 1 – 🌐 Introduction to Networking in DevOps
- 📍 Slide 2 – 📡 OSI Model & TCP/IP Stack
- 📍 Slide 3 – 🔢 IP Addressing & Subnetting
- 📍 Slide 4 – 🌐 DNS (Domain Name System)
- 📍 Slide 5 – 🌍 HTTP & HTTPS
- 📍 Slide 6 – 🔌 Load Balancing
- 📍 Slide 7 – 🧩 Network Segmentation
- 📍 Slide 8 – 🔒 Firewalls & Network Security
- 📍 Slide 9 – 🔑 TLS & Certificate Management
- 📍 Slide 10 – 🕵️ Network Monitoring & Troubleshooting
- 📍 Slide 11 – 🛡️ VPNs & Secure Tunneling
- 📍 Slide 12 – 🐧 Linux History & Distributions
- 📍 Slide 13 – 💻 Linux File System Hierarchy
- 📍 Slide 14 – 👨💻 Shell Environments & Scripting
- 📍 Slide 15 – 📂 File Management & Text Processing
- 📍 Slide 16 – 👤 User & Group Management
- 📍 Slide 17 – 🔄 Process Management in Linux
- 📍 Slide 18 – 🛠️ Systemd & Service Management
- 📍 Slide 19 – 📊 Resource Monitoring & Performance
- 📍 Slide 20 – 📝 Logging Systems
- 📍 Slide 21 – 📆 Scheduling & Automation
- 📍 Slide 22 – 🔐 File Permissions & Ownership
- 📍 Slide 23 – 💪 Sudo & Privilege Escalation
- 📍 Slide 24 – 🛡️ SELinux & AppArmor
- 📍 Slide 25 – 🔒 Hardening Linux Systems
- 📍 Slide 26 – 🌐 Network Interface Configuration
- 📍 Slide 27 – 🔄 DHCP & DNS Setup
- 📍 Slide 28 – 🌍 Web Servers: Apache & Nginx
- 📍 Slide 29 – 🔄 Proxies & Reverse Proxies
- 📍 Slide 30 – 🔐 SSH & Remote Administration
- 📍 Slide 31 – 🔍 Network Troubleshooting Tools
- 📍 Slide 32 – 🔬 System Diagnostics
- 📍 Slide 33 – 🧰 Log Analysis
- 📍 Slide 34 –
⚠️ Common DevOps Network/System Issues - 📍 Slide 35 – 🚀 Current Trends in DevOps Networking
- 📍 Slide 36 – 🔮 Bleeding Edge Tools & Technologies
- 📍 Slide 37 – 🔮 Future of DevOps: 2024-2030
📌 Lecture 5 - Virtualization & Modern IT Infrastructure (20 slides)
Source: lectures/lec5.md
- 📍 Slide 1 – 🌟 Introduction to Virtualization - What & Why
- 📍 Slide 2 – 📚 History of Virtualization (1960s IBM Mainframes → Modern Cloud)
- 📍 Slide 3 – 💡 Core Concepts - Physical vs Virtual Resources
- 📍 Slide 4 – 🎯 Benefits of Virtualization (Cost, Efficiency, Flexibility)
- 📍 Slide 5 –
⚠️ Challenges & Limitations of Virtualization - 📍 Slide 6 – 🧠 Hypervisor Fundamentals - The Virtual Machine Monitor
- 📍 Slide 7 – 🏗️ Type 1 Hypervisors (Bare Metal) - VMware ESXi, Hyper-V, Xen
- 📍 Slide 8 – 🖥️ Type 2 Hypervisors (Hosted) - VirtualBox, VMware Workstation
- 📍 Slide 9 – ⚖️ Type 1 vs Type 2 Comparison & Use Cases
- 📍 Slide 10 – 🔍 Hypervisor Architecture Deep Dive
- 📍 Slide 11 – 🐳 Container Revolution - Docker, Podman, containerd
- 📍 Slide 12 – ⚖️ VMs vs Containers - Architecture & Use Cases
- 📍 Slide 13 – 🌐 WebAssembly (WASM) - Server-Side Revolution
- 📍 Slide 14 – 🔬 Unikernels & Microkernels - Specialized Virtualization
- 📍 Slide 15 – ⚡ Serverless Computing - Functions-as-a-Service Evolution
- 📍 Slide 16 – 🛡️ Security-Focused Virtualization - Firecracker, gVisor, Kata
- 📍 Slide 17 – 📊 Performance Optimization - Modern Hardware Features
- 📍 Slide 18 – 🔧 Hybrid Architectures - Best of All Worlds
- 📍 Slide 19 – 🌐 Edge & IoT Virtualization - 5G Revolution
- 📍 Slide 20 – 🔮 Emerging Technologies - The Next Decade
📌 Lecture 6 - Containers: Docker & Kubernetes (19 slides)
Source: lectures/lec6.md
- 📍 Slide 1 – 🐳 What are Containers?
- 📍 Slide 2 – 📜 History of Containers (1979 → 2024)
- 📍 Slide 3 – 💡 Why Containers Matter in DevOps
- 📍 Slide 4 – ⚖️ Containers vs Virtual Machines (VMs)
- 📍 Slide 5 – 🧩 Container Components (Images, Layers, Registries)
- 📍 Slide 6 – 🛠️ Container Engine Differences (Docker vs Podman vs containerd vs CRI-O)
- 📍 Slide 7 – 🔍 OCI (Open Container Initiative) Standards
- 📍 Slide 8 – ⚙️ Container Runtime Internals (runc, crun, Kata Containers, gVisor)
- 📍 Slide 9 – 🏗️ Linux Kernel Features (Namespaces, cgroups, Capabilities, SELinux/AppArmor)
- 📍 Slide 10 – 🐋 Docker Architecture (Client-Server, Daemon, CLI, Engine)
- 📍 Slide 11 – 📦 Docker Images & Layers (Build Process, Caching, Multi-stage)
- 📍 Slide 12 – 🎯 Dockerfile Best Practices (Optimization, Security, Size)
- 📍 Slide 13 – 🌐 Docker Networking (Bridge, Host, Overlay, Container Communication)
- 📍 Slide 14 – 💾 Docker Storage (Volumes, Bind Mounts, tmpfs, Drivers)
- 📍 Slide 15 – ☸️ Introduction to Kubernetes (What, Why, Architecture)
- 📍 Slide 16 – 🧩 Kubernetes Core Components (Control Plane, Nodes, etcd)
- 📍 Slide 17 – 🎯 Kubernetes Objects (Pods, Deployments, Services, ConfigMaps, Secrets)
- 📍 Slide 18 – 🌐 Kubernetes Networking (CNI, Services, Ingress, NetworkPolicies)
- 📍 Slide 19 – 💾 Kubernetes Storage (PersistentVolumes, PVCs, StorageClasses)
📌 Lecture 7 - GitOps & Progressive Delivery (18 slides)
Source: lectures/lec7.md
- 📍 Slide 1 – 🚀 What is GitOps? - The Modern Way to Operate
- 📍 Slide 2 – 📜 GitOps History - From FTP to Pull Requests
- 📍 Slide 3 – 🎯 GitOps Principles - The Four Golden Rules
- 📍 Slide 4 – ⚡ Push vs Pull Deployment Models - The Great Debate
- 📍 Slide 5 – 🛠️ GitOps Tooling Landscape - Choosing Your Weapon
- 📍 Slide 6 – 🏗️ GitOps Repository Strategies - Organizing Your Git Repos
- 📍 Slide 7 – ☸️ Argo CD Architecture & Core Concepts
- 📍 Slide 8 – 🎨 Argo CD in Action - Hands-On Deployment
- 📍 Slide 9 – 🔐 Argo CD Best Practices - Production-Ready Patterns
- 📍 Slide 10 – 🎯 What is Progressive Delivery? - Beyond Basic Deployments
- 📍 Slide 11 – 🔄 Deployment Strategies - Canary, Blue-Green, A/B Testing
- 📍 Slide 12 – 📊 Observability & Metrics for Progressive Delivery
- 📍 Slide 13 – 🎭 Argo Rollouts - Progressive Delivery Powerhouse
- 📍 Slide 14 – 🚢 Flagger - Automated Progressive Delivery
- 📍 Slide 15 – 🎯 Feature Flags & Experimentation
- 📍 Slide 16 – 🔐 Security & Compliance in GitOps
- 📍 Slide 17 – ⚙️ CI/CD Integration - The Complete Pipeline
- 📍 Slide 18 – 🎉 Real-World Case Studies & Future Trends
📌 Lecture 8 - SRE & Monitoring: System Metrics, SLAs & Reliability Engineering (20 slides)
Source: lectures/lec8.md
- 📍 Slide 1 – 🛡️ What is SRE? - Engineering Approach to Operations
- 📍 Slide 2 – 📜 History of SRE - From Google's Need to Industry Standard
- 📍 Slide 3 – 🤝 SRE vs DevOps vs Platform Engineering - Clarifying the Roles
- 📍 Slide 4 – 🎨 SRE Principles - Reliability, Scalability, and Toil Reduction
- 📍 Slide 5 – 🌟 Golden Signals of Monitoring - The Four Pillars of Observability
- 📍 Slide 6 – 📏 SLI (Service Level Indicators) - What to Measure
- 📍 Slide 7 – 🎯 SLO (Service Level Objectives) - Setting Realistic Targets
- 📍 Slide 8 – 📋 SLA (Service Level Agreements) - Business Commitments and Consequences
- 📍 Slide 9 – 💰 Error Budgets - Balancing Innovation and Reliability
- 📍 Slide 10 – 📈 Prometheus & Grafana - The Open Source Monitoring Stack
- 📍 Slide 11 – 🖥️ System Monitoring - Infrastructure Metrics (CPU, Memory, Disk, Network)
- 📍 Slide 12 – 🌐 Application Performance Monitoring (APM) - Code-Level Observability
- 📍 Slide 13 – 🌍 Website Monitoring with Checkly - Synthetic & API Monitoring
- 📍 Slide 14 – 🔔 Smart Alerting Strategies - When and How to Alert
- 📍 Slide 15 – 📱 Notification Systems - Slack, PagerDuty, Email Integration
- 📍 Slide 16 – 🚨 Incident Response - From Detection to Resolution
- 📍 Slide 17 – 🧪 Chaos Engineering - Testing Failure Scenarios
- 📍 Slide 18 – 🔄 Capacity Planning - Scaling for Growth
- 📍 Slide 19 – 📝 Runbooks & Playbooks - Standardizing Operations
- 📍 Slide 20 – 📊 SRE in Practice - Real-World Case Studies and Lessons
📌 Lecture 9 - Introduction to DevSecOps: Security as Code (20 slides)
Source: lectures/lec9.md
- 📍 Slide 1 – 🛡️ What is DevSecOps? - Security as Code
- 📍 Slide 2 – 📜 History of DevSecOps - From Afterthought to Built-in
- 📍 Slide 3 – 🎯 Why DevSecOps Matters - The Security Crisis
- 📍 Slide 4 – 🔑 Core DevSecOps Principles - The Security Mindset
- 📍 Slide 5 – 🛡️ Threat Modeling - Understanding Attack Surfaces
- 📍 Slide 6 –
⚠️ Common Security Vulnerabilities - OWASP Top 10 - 📍 Slide 7 – 🔐 Security in the SDLC - Integrating at Every Stage
- 📍 Slide 8 – 🔍 SAST (Static Application Security Testing) - Code Analysis
- 📍 Slide 9 – 🌐 DAST (Dynamic Application Security Testing) - Runtime Testing
- 📍 Slide 10 – 📦 Software Composition Analysis (SCA) - Dependency Scanning
- 📍 Slide 11 – 🐳 Container & Image Security - Securing the Runtime
- 📍 Slide 12 – 🔐 Secrets Management - Never Commit Credentials
- 📍 Slide 13 – 🤖 CI/CD Security Integration - Automated Security Gates
- 📍 Slide 14 – 📜 Infrastructure as Code Security - IaC Scanning
- 📍 Slide 15 – 🔒 Security Policy as Code - Automated Enforcement
- 📍 Slide 16 – 🚨 Security Monitoring & Incident Response
- 📍 Slide 17 – ✅ Compliance & Audit in DevSecOps
- 📍 Slide 18 – 🏢 DevSecOps Culture & Team Structure
- 📍 Slide 19 – 🎉 DevSecOps Success Stories & Real-World Impact
- 📍 Slide 20 – 🚀 Your DevSecOps Journey Starts Now
📌 Lecture 10 - Cloud Computing Fundamentals: Common Cloud Services (AWS/GCP/Azure) (20 slides)
Source: lectures/lec10.md
- 📍 Slide 1 – ☁️ Cloud Computing Overview
- 📍 Slide 2 – 🖥️ Compute Services - VMs
- 📍 Slide 3 – 📦 Compute Services - Containers
- 📍 Slide 4 – ⚡ Compute Services - Serverless
- 📍 Slide 5 – 💾 Storage Services - Object Storage
- 📍 Slide 6 – 💿 Storage Services - Block & File
- 📍 Slide 7 – 🗄️ Database Services - SQL
- 📍 Slide 8 – 📊 Database Services - NoSQL
- 📍 Slide 9 – 🌐 Networking - VPC & Load Balancers
- 📍 Slide 10 – 🌍 Content Delivery - CDN
- 📍 Slide 11 – 📦 Artifact Registries
- 📍 Slide 12 – 📨 Messaging & Event Services
- 📍 Slide 13 – 📊 Monitoring & Logging
- 📍 Slide 14 – 🔐 Security & IAM
- 📍 Slide 15 – 🔄 CI/CD Services
- 📍 Slide 16 – 💰 Cost Management
- 📍 Slide 17 – 🌍 Multi-Cloud Strategy
- 📍 Slide 18 – 🆚 Cloud Provider Comparison
- 📍 Slide 19 – 🎯 Common Architecture Patterns
- 📍 Slide 20 – 🚀 Getting Started & Best Practices
🌳 View Skill Tree Structure
graph TB
ROOT[🚀 DevOps Mastery]
%% Foundation Branch
ROOT --- FOUND[🏗️ Foundation]
FOUND --- A[📚 Week 1: DevOps Intro<br/>• Principles<br/>• Git Workflow<br/>• PR Templates]
FOUND --- B[🔄 Week 2: Version Control<br/>• Advanced Git<br/>• History Management<br/>• Modern Commands]
%% Development Branch
ROOT --- DEV[👨💻 Development]
DEV --- C[⚙️ Week 3: CI/CD<br/>• GitHub Actions<br/>• Pipelines<br/>• Automation]
DEV --- D[🖥️ Week 4: Networking & OS<br/>• Linux Fundamentals<br/>• DNS/TCP/IP<br/>• System Analysis]
%% Infrastructure Branch
ROOT --- INFRA[🏗️ Infrastructure]
INFRA --- E[💻 Week 5: Virtualization<br/>• VirtualBox<br/>• VMs<br/>• System Discovery]
INFRA --- F[📦 Week 6: Containers<br/>• Docker<br/>• Networking<br/>• Volumes]
%% Advanced Branch
ROOT --- ADV[🎯 Advanced]
ADV --- G[🚀 Week 7: GitOps<br/>• Reconciliation<br/>• Drift Detection<br/>• Health Monitoring]
ADV --- H[🛡️ Week 8: SRE<br/>• Monitoring<br/>• SLAs/SLOs<br/>• Reliability]
%% Production Branch
ROOT --- PROD[🌐 Production]
PROD --- I[🔐 Week 9: DevSecOps<br/>• OWASP ZAP<br/>• Trivy<br/>• Security Scanning]
PROD --- J[☁️ Week 10: Cloud<br/>• AWS/Azure/GCP<br/>• Registries<br/>• Serverless]
%% Bonus Branch
ROOT --- BONUS[⭐ Bonus Labs]
BONUS --- K[🌐 Lab 11: IPFS/4EVERLAND<br/>• Decentralized Storage<br/>• Web3 Hosting<br/>• Content Addressing]
BONUS --- L[⚡ Lab 12: WASM Containers<br/>• WebAssembly<br/>• Performance<br/>• Edge Computing]
%% 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:#fff3cd,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,L bonusModule
🏗️ View Technology Stack Layers
flowchart LR
subgraph "🌐 Production & Cloud"
direction LR
I[🔐 Week 9: DevSecOps<br/>OWASP ZAP & Trivy]
J[☁️ Week 10: Cloud<br/>AWS/Azure/GCP]
end
subgraph "⭐ Bonus: Cutting Edge"
direction LR
K[🌐 IPFS/4EVERLAND<br/>Decentralized Web]
L[⚡ WASM Containers<br/>Performance & Edge]
end
subgraph "🎯 Advanced DevOps"
direction LR
G[🚀 Week 7: GitOps<br/>Reconciliation & Drift]
H[🛡️ Week 8: SRE<br/>Monitoring & Reliability]
end
subgraph "🏗️ Infrastructure Layer"
direction LR
E[💻 Week 5: Virtualization<br/>VirtualBox & VMs]
F[📦 Week 6: Containers<br/>Docker Fundamentals]
end
subgraph "🔧 Development Layer"
direction LR
C[⚙️ Week 3: CI/CD<br/>GitHub Actions]
D[🖥️ Week 4: Systems<br/>Linux & Networking]
end
subgraph "🏗️ Foundation Layer"
direction LR
A[📚 Week 1: DevOps<br/>Principles & Git]
B[🔄 Week 2: Git Advanced<br/>Version Control Mastery]
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
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 production
class K,L bonus
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)
- 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
📋 View All Lab Topics
Required Labs (Weeks 1-10):
- Introduction to DevOps — Git workflow, SSH signing, PR templates
- Version Control & Advanced Git — Object model, reset/reflog, modern commands
- CI/CD with GitHub Actions — Workflows, triggers, automation
- Networking & OS — System analysis, diagnostics, packet capture
- Virtualization — VirtualBox, VM deployment, system discovery
- Containers — Docker lifecycle, networking, volumes, persistence
- GitOps Fundamentals — Reconciliation, drift detection, monitoring
- SRE & Monitoring — Metrics, SLAs, Checkly, reliability engineering
- DevSecOps Tools — OWASP ZAP, Trivy, vulnerability scanning
- Cloud Computing — AWS/GCP/Azure registries, serverless platforms
Bonus Labs (Optional):
- 🎁 IPFS & 4EVERLAND — Decentralized storage, Web3 hosting, content addressing
- 🎁 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
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
📋 Detailed Submission Process
Step-by-Step Guide:
-
Fork the course repository to your GitHub account
-
Clone your fork locally:
git clone https://github.com/YOUR_USERNAME/REPO_NAME.git cd REPO_NAME -
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
-
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
-
Copy the PR URL and submit via Moodle before deadline
🎯 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: 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 2: 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
| 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) |
📈 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: 10/10 points
Bonus Lab 12: 12/12 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
"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:
- Weeks 1-10: Focus on required labs first
- After Week 10: Tackle bonus labs if time permits
- Start each lab early - don't wait until the deadline
- Read instructions thoroughly before beginning
- 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:
- Use clear Markdown formatting with headers
- Include both outputs AND analysis
- Explain WHY, not just WHAT you did
- Screenshot key results for proof
- Organize files logically in the lab folder
Git Workflow:
- Always work on feature branches, never on main
- Use descriptive commit messages (e.g.,
docs: add lab1 submission) - Push regularly to avoid losing work
- Open PRs to the course repository, not your fork
- Review the PR checklist before submitting
Time Management:
- Allocate 3-5 hours per required lab
- Allocate 4-6 hours per bonus lab (more complex)
- Break labs into manageable tasks
- Use lab deadlines visible in Moodle
- 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:
- Review lab guidelines and examples
- Check course documentation and resources
- Discuss concepts with classmates (collaboration encouraged)
- Attend office hours or ask on course forum
- 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:
- Review previous lab concepts
- Ensure development environment is ready
- Read entire lab instructions first
- Identify any prerequisites or installations needed
After Each Lab:
- Reflect on key learnings
- Note challenges for future reference
- Review instructor feedback when provided
- 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
🔗 Essential Links
Course Materials:
- Moodle Course Page - Lectures, deadlines, grades
- Course Repository - Lab assignments and resources
DevOps Fundamentals:
Version Control:
CI/CD:
Containers & Orchestration:
Cloud Platforms:
Bonus Lab Technologies:
🛠️ 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
Week 3: CI/CD
Week 4: OS & Networking
Week 5-6: Virtualization & Containers
Week 7: GitOps
Week 8: SRE
Week 9: DevSecOps
Week 10: Cloud
Bonus: Web3 & WASM
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