CacheFlow is a lightweight HTTP caching reverse proxy written in Go, designed for high-latency, unreliable network environments.
⚠️ Sprint 0 Foundation Status: This repository contains the foundation structure only. No business logic is implemented yet.
✅ Repository Structure: Complete Go project layout
✅ Tooling: Makefile, linting, and build system
✅ Documentation: Architecture and context documentation
✅ Development Ready: Ready for Sprint 1 feature development
cacheflow/
├── cmd/
│ └── serve/
│ └── main.go
│
├── internal/
│ ├── cache/
│ │ ├── cache.go
│ │ └── lru.go
│ │
│ ├── proxy/
│ │ └── proxy.go
│ │
│ ├── middleware/
│ │ └── cache.go
│ │
│ ├── config/
│ │ └── config.go
│ │
│ └── server/
│ └── server.go
│
├── docs/
│ └── ETHIOPIAN_CONTEXT.md
│
├── ARCHITECTURE.md
├── README.md
├── Makefile
├── .golangci.yml
├── go.mod
└── go.sum
- Go 1.21+
golangci-lintfor linting
git clone https://github.com/asmareadmasu/cacheflow.git
cd cacheflow
make install-devmake build # Build the application
make test # Run tests
make lint # Run linters
make run # Run the application
make clean # Clean build artifacts
make help # Show all available commandsConfigured linters:
govet- Go veterrcheck- Error checkingstaticcheck- Static analysisineffassign- Ineffective assignment detection
- ✅ Repository structure matches specification
- ✅
make testandmake lintpass - ✅ README and ARCHITECTURE.md exist
- ✅ No feature or business logic implemented
- ✅ Clean, professional Go repository ready for Sprint 1
- ARCHITECTURE.md: System design, interfaces, and trade-offs
- docs/ETHIOPIAN_CONTEXT.md: Ethiopian network context and optimization rationale
- Cache hit latency < 5ms
- ≥ 95% cache hit rate on repeat requests
- 1 upstream call per concurrent cache miss
- Serve stale data on upstream failure
CacheFlow is optimized for regions with:
- High latency networks (500ms-2s RTT)
- Expensive mobile data ($0.50-$2.00/GB)
- Intermittent connectivity
- Power instability
See docs/ETHIOPIAN_CONTEXT.md for detailed engineering analysis.
Sprint 1 will implement:
- Cache layer with LRU eviction
- HTTP proxy with request forwarding
- Middleware for caching logic
- Metrics and observability
Built with ❤️ for high-latency, bandwidth-constrained environments