Skip to content

Implement comprehensive scalability strategy: caching, load balancing, auto-scaling, and resource management #21

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
SMSDAO merged 6 commits into from
Dec 13, 2025
Merged

Implement comprehensive scalability strategy: caching, load balancing, auto-scaling, and resource management #21

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
6 commits
Select commit Hold shift + click to select a range
24662c6
Initial plan
Copilot Dec 13, 2025
2b4356e
Add comprehensive scalability configuration files
Copilot Dec 13, 2025
1a603ed
Integrate scalability services and add comprehensive documentation
Copilot Dec 13, 2025
d833b1f
Address code review feedback: improve LRU cache, error handling, and …
Copilot Dec 13, 2025
5020dee
Add rate limiting to cache and suspension endpoints
Copilot Dec 13, 2025
3665b0c
Add comprehensive scalability implementation summary
Copilot Dec 13, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
44 changes: 44 additions & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -211,6 +211,50 @@ docker run -p 3000:3000 -p 5000:5000 cloud-ide
- **File System Isolation** - Workspaces are isolated
- **Database Connection Management** - Secure credential handling

## 📈 Scalability Architecture

The platform implements a comprehensive scalability strategy designed to handle growth efficiently:

### Multi-Layer Caching
- **L1 (Memory)**: 100MB in-memory LRU cache for hot data
- **L2 (Redis)**: Distributed caching for sessions and API responses
- **L3 (CDN)**: Cloudflare/Fastly for static assets
- **Query Caching**: Automatic database query result caching

### Intelligent Load Balancing
- **Round-robin distribution** across backend instances
- **Geographic routing** to nearest region
- **Health-based routing** with automatic failover
- **Sticky sessions** for connection persistence

### Auto-Scaling
- **CPU-based**: Scale at 70% (up) / 30% (down)
- **Memory-based**: Dynamic scaling based on usage
- **Request-based**: Scale with traffic patterns
- **Predictive scaling**: ML-based anticipation of load

### Resource Management
- **Container limits**: CPU and memory quotas per service
- **Spot instances**: 70% cost reduction for non-critical workloads
- **Quality of Service**: Priority-based resource allocation
- **Vertical Pod Autoscaler**: Automatic right-sizing

### Project Lifecycle
- **Idle suspension**: Automatic suspension after 30 days
- **Wake-on-request**: Fast cold-start (~30 seconds)
- **State preservation**: Full project state and data maintained
- **Activity tracking**: Automatic activity monitoring

**Documentation**:
- [Scalability Architecture](./SCALABILITY.md) - Complete architecture guide
- [Operations Runbooks](./SCALABILITY_RUNBOOKS.md) - Operational procedures

**Key Metrics**:
- Cache hit rate: >80%
- Auto-scaling range: 2-20 instances
- Cold start time: ~30 seconds
- Cost reduction: Up to 70% with spot instances

## 🧪 Testing

```bash
Expand Down
Loading
Loading