Real systems. Real code. Real trade-offs.
🚀 Hands-on implementations of real-world system design problems in Go, Rust, and Django. This repo focuses on building production-oriented backend and distributed systems from first principles - no diagrams without code, no theory without execution.
- 🔧 Turn system design ideas into running systems
- ⚖️ Expose engineering trade-offs, not just clean architectures
- 🧩 Practice step-by-step design → implementation
- 📈 Build intuition for scale, reliability, and performance under load
❌ Not an interview cheat sheet. ✅ Every system is executable, testable, and stress-tested where it matters.
Each system lives as an independent module and typically includes:
- 📝 Clear problem definition and constraints
- 🧠 Key design decisions and assumptions
- 🦀 / 🐹 Go and/or Rust implementations
- 🔀 Concurrency and synchronization logic
- 🧪 Basic tests and load/stress scenarios
- 🧭 Known limitations and next-step improvements
- 🆔 ID generators
- 🔗 URL shorteners
- 🚦 Rate limiters
- 🗂️ Job queues
- 🕷️ Web crawlers
- ⚡ Caching layers
- 🧭 Scaling and replication labs
/
├── go/
│ ├── id-generator/
│ ├── url-shortener/
│ └── ...
├── django/
│ ├── snowflake-id/
│ └── scaling-concepts/
├── rust/
│ ├── id-generator/
│ ├── rate-limiter/
│ └── ...
└── docs/
└── design-notes/
- ✍️ Prefer explicit, readable code over clever abstractions
- 🛠️ Optimize for correctness before performance
- 📊 Measure behavior under load instead of guessing
- 💥 Treat failures as first-class design inputs
Actively evolving. Systems are added incrementally and refined as complexity and scale increase.