"Production-grade HTTP/1.1 server built from scratch using raw sockets in Python, featuring async I/O, connection pooling, middleware architecture, and comprehensive test coverage"
- Basic TCP socket server with educational documentation
- Single-threaded, blocking I/O
- Minimal HTTP response (hardcoded Hello World)
| Feature | Description | Why SDE2 Cares |
|---|---|---|
| HTTP Request Parser | Parse method, path, headers, query params, body | Shows protocol-level understanding |
| HTTP Response Builder | Proper status codes, headers, chunked encoding | RFC compliance |
| URL Routing | Path-based routing with dynamic parameters /users/:id |
API design skills |
| Static File Serving | Serve files from disk with proper MIME types | Real-world utility |
| Error Handling | 400, 404, 405, 500 with proper responses | Production readiness |
| Feature | Description | Why SDE2 Cares |
|---|---|---|
| Multi-threading | Thread pool for handling concurrent connections | Concurrency fundamentals |
| Async I/O (asyncio) | Non-blocking event loop using select/epoll |
Modern Python expertise |
| Connection Keep-Alive | HTTP/1.1 persistent connections | Performance optimization |
| Request Timeout | Configurable timeouts to prevent resource exhaustion | Production hardening |
| Graceful Shutdown | Handle SIGTERM/SIGINT properly | DevOps awareness |
| Feature | Description | Why SDE2 Cares |
|---|---|---|
| Middleware Pipeline | Composable request/response handlers | Clean architecture |
| Logging Middleware | Structured JSON logging with request IDs | Observability |
| CORS Middleware | Cross-origin resource sharing | Security awareness |
| Rate Limiter | Token bucket algorithm for request throttling | System design |
| Compression | gzip/deflate response compression | Optimization skills |
| Feature | Description | Why SDE2 Cares |
|---|---|---|
| Unit Tests | pytest with 80%+ coverage | Testing discipline |
| Integration Tests | End-to-end HTTP request/response tests | Quality assurance |
| Load Testing | Benchmarks with wrk or ab |
Performance awareness |
| Type Hints | Full typing with mypy compliance | Code quality |
| Documentation | API docs, architecture diagrams | Communication skills |
| Feature | Description | Why SDE2 Cares |
|---|---|---|
| WebSocket Support | Upgrade handshake, bidirectional comms | Protocol expertise |
| HTTPS/TLS | SSL certificate handling | Security |
| HTTP/2 Basics | Multiplexing, header compression | Modern protocols |
| Config Management | YAML/ENV configuration | 12-factor app |
| Health Checks | /health endpoint for monitoring |
Production systems |
http-server-python/
├── README.md # Project overview, badges, quick start
├── pyproject.toml # Modern Python packaging
├── Makefile # Common commands (run, test, lint)
├── Dockerfile # Container support
├── docker-compose.yml # Local development
│
├── src/
│ └── httpserver/
│ ├── __init__.py
│ ├── __main__.py # Entry point
│ ├── server.py # Main server class
│ ├── config.py # Configuration management
│ │
│ ├── core/
│ │ ├── __init__.py
│ │ ├── socket_server.py # Low-level TCP handling
│ │ ├── connection.py # Connection management
│ │ └── thread_pool.py # Worker thread pool
│ │
│ ├── http/
│ │ ├── __init__.py
│ │ ├── request.py # HTTP request parser
│ │ ├── response.py # HTTP response builder
│ │ ├── router.py # URL routing
│ │ ├── status_codes.py # HTTP status enums
│ │ └── mime_types.py # Content-Type mappings
│ │
│ ├── middleware/
│ │ ├── __init__.py
│ │ ├── base.py # Middleware interface
│ │ ├── logging.py # Request logging
│ │ ├── cors.py # CORS headers
│ │ ├── compression.py # gzip compression
│ │ └── rate_limit.py # Rate limiting
│ │
│ └── handlers/
│ ├── __init__.py
│ ├── static.py # Static file handler
│ └── health.py # Health check endpoint
│
├── tests/
│ ├── conftest.py # pytest fixtures
│ ├── unit/
│ │ ├── test_request.py
│ │ ├── test_response.py
│ │ └── test_router.py
│ ├── integration/
│ │ └── test_server.py
│ └── load/
│ └── benchmark.py
│
├── examples/
│ ├── simple_server.py
│ └── api_server.py
│
└── docs/
├── architecture.md
├── protocol.md
└── diagrams/
└── request_flow.png
┌─────────────────────────────────────────────────────────────┐
│ HTTP Server │
└─────────────────────────────────────────────────────────────┘
│
┌─────────────────────────────────────────────────────┼─────────────────────────────────────────────────────┐
│ │ │
▼ ▼ ▼
┌───────────────┐ ┌───────────────┐ ┌───────────────┐
│ TCP Socket │ │ Thread Pool │ │ Config │
│ Server │ │ (Workers) │ │ Manager │
│ │ │ │ │ │
│ • bind() │ │ • min_workers │ │ • host, port │
│ • listen() │ │ • max_workers │ │ • timeout │
│ • accept() │ │ • queue_size │ │ • log_level │
└───────────────┘ └───────────────┘ └───────────────┘
│
│ Connection
▼
┌─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
│ MIDDLEWARE PIPELINE │
│ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Logging │───►│ CORS │───►│ Rate Limit │───►│ Compression │───►│ Router │ │
│ │ Middleware │ │ Middleware │ │ Middleware │ │ Middleware │ │ │ │
│ └─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘ │
│ │ │
└───────────────────────────────────────────────────────────────────────────────────────┼──────────────────────────────┘
│
┌─────────────────────────────────────────────────────────┼─────────────────────────────────┐
│ │ │
▼ ▼ ▼
┌───────────────┐ ┌───────────────┐ ┌───────────────┐
│ Static │ │ API │ │ Health │
│ Files │ │ Handlers │ │ Check │
│ │ │ │ │ │
│ GET /static/* │ │ GET /api/* │ │ GET /health │
└───────────────┘ └───────────────┘ └───────────────┘
- Handles 1000+ concurrent connections
- <5ms average response latency
- 10,000+ req/sec throughput (benchmarked with
wrk)
- 85%+ test coverage
- 0 type errors (mypy strict mode)
- A rating on code quality tools
- Graceful shutdown with in-flight request completion
- Structured logging with correlation IDs
- Container-ready with health checks
- "How does HTTP work at the socket level?" → You built it from scratch
- "Explain TCP 3-way handshake" → Implemented in your server
- "How would you handle 10K concurrent connections?" → Thread pool + event loop
- "Design a rate limiter" → Token bucket implementation
- "How do you ensure graceful shutdown?" → Signal handling + connection draining
- ✅ Deep understanding of networking fundamentals
- ✅ Proficiency in Python async/threading
- ✅ Clean architecture and SOLID principles
- ✅ Production mindset (logging, monitoring, error handling)
- ✅ Testing discipline (unit, integration, load)
- ✅ Documentation and communication skills
- HTTP request parser (method, path, headers)
- HTTP response builder with status codes
- Basic URL router with path matching
- Static file serving
- Error responses (404, 500)
- Thread pool implementation
- Connection timeout handling
- Keep-alive connections
- Graceful shutdown (SIGTERM)
- Middleware pipeline architecture
- Logging middleware (JSON format)
- Unit tests with pytest (80% coverage)
- Type hints + mypy
- Integration tests
- Load testing with benchmarks
- README with architecture diagrams
- Dockerfile + docker-compose
- Example applications
• Engineered a production-grade HTTP/1.1 server from scratch using Python raw sockets,
implementing TCP connection handling, request parsing, and response serialization per RFC 7230
• Designed thread pool architecture supporting 1000+ concurrent connections with <5ms
latency, demonstrating deep understanding of concurrency patterns and resource management
• Built extensible middleware pipeline (logging, CORS, rate limiting, compression) following
chain-of-responsibility pattern, enabling modular request/response processing
• Achieved 85% test coverage with pytest, including unit tests, integration tests, and
load testing benchmarks using wrk (10K+ req/sec throughput)
• Implemented production-ready features: graceful shutdown, structured logging with
correlation IDs, configurable timeouts, and container-ready health checks



- Quick Start - 3-line setup
- Features - Bullet list with ✅ emojis
- Architecture - Diagram from above
- Benchmarks - Performance numbers
- API Reference - Usage examples
- Contributing - Shows collaboration skills
Q: Is this better than just using Flask/FastAPI? A: For production, use established frameworks. This project demonstrates you understand what those frameworks do under the hood - a key differentiator for SDE2.
Q: How long will this take? A: MVP (Weeks 1-2) in ~20-30 hours. Full implementation (Weeks 1-4) in ~50-60 hours.
Q: What if I don't finish everything? A: Phase 1-2 alone is resume-worthy. Phase 3+ makes it exceptional.
- Start with HTTP request parser (src/httpserver/http/request.py)
- Add basic router (src/httpserver/http/router.py)
- Write tests alongside features
- Document as you go
Ready to start? Let me know which phase to begin implementing!