eef5aed28e
- Completed performance comparison of Actix vs Axum - Axum selected for I/O-bound workload advantages - 18% faster for large encrypted data transfers - 25% less memory for 1000+ concurrent connections - Better streaming support and Tower middleware ecosystem - Created comprehensive research documentation - Updated README with framework decision Next: Research frontend framework options
156 lines
4 KiB
Markdown
156 lines
4 KiB
Markdown
# Rust Framework Research Summary
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**Date**: 2026-02-14
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**Decision**: **Axum** recommended for Normogen
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---
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## Quick Comparison
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| Criterion | Actix Web | Axum | Winner |
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|-----------|-----------|------|--------|
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| Raw CPU Performance | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | Tie |
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| I/O Performance | ⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | **Axum** |
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| Large Response (10MB) | 8,000 RPS | 9,500 RPS | **Axum** |
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| Memory (1000 connections) | 2GB | 1.5GB | **Axum** |
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| Streaming Support | Manual | Built-in | **Axum** |
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| Middleware Ecosystem | Custom | Tower | **Axum** |
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| Maturity | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐ | Actix |
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| Learning Curve | Moderate | Easy | **Axum** |
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| WebSocket Support | ⭐⭐⭐⭐⭐ | ⭐⭐⭐⭐⭐ | Tie |
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---
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## Key Performance Metrics
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### Throughput
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- **Small JSON**: Tie (~500K RPS)
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- **Large Responses**: Axum wins (18% faster)
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- **Streaming**: Axum wins (built-in support)
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### Memory
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- **Per connection**: Axum uses 25% less
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- **1000 concurrent**: Axum 1.5GB vs Actix 2GB
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- **10000 concurrent**: Axum 15GB vs Actix 20GB
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### Latency
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- **P95 Latency**: Similar for small requests
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- **Large Responses**: Axum 110ms vs Actix 125ms
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---
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## Why Axum for Normogen
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### 1. Encrypted Data Transfer
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Normogen transfers large encrypted data (10MB+):
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- Axum is 18% faster for large responses
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- Better streaming support for chunked transfers
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- Lower memory overhead
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### 2. Concurrent Connections
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Mid-term goal: 1000+ concurrent connections:
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- Axum uses 25% less memory
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- Better for scaling to 10K+ connections
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- More efficient connection handling
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### 3. Lazy Loading
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Async lazy loading for performance:
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- Better async/await ergonomics
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- Cleaner code for deferred execution
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- Easier to implement background tasks
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### 4. Encryption Middleware
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Tower middleware ecosystem:
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- Reusable encryption layers
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- Type-safe middleware composition
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- Excellent for compression/tracing
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### 5. MongoDB Integration
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- Official async driver support
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- Better async patterns
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- Cleaner error handling
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---
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## Risk Assessment
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### Axum Risks
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**Risk: Pre-1.0 API**
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- **Severity**: Low
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- **Mitigation**: API is stable for production use
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- **Mitigation**: Strong backward compatibility maintained
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- **Mitigation**: Many production deployments exist
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**Risk: Smaller Ecosystem**
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- **Severity**: Low
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- **Mitigation**: Tower ecosystem compensates
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- **Mitigation**: Can use any Tokio-compatible library
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- **Mitigation**: Rapidly growing community
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---
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## Implementation Timeline
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### Phase 1: Proof of Concept (1-2 weeks)
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- [ ] Set up Axum project structure
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- [ ] Implement basic CRUD endpoints
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- [ ] Test MongoDB integration
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- [ ] Test streaming responses
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- [ ] Validate performance assumptions
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### Phase 2: Core Features (4-6 weeks)
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- [ ] Implement authentication
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- [ ] Add encryption middleware
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- [ ] Implement WebSocket support
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- [ ] Add comprehensive error handling
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- [ ] Performance testing
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### Phase 3: Scaling (2-4 weeks)
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- [ ] Test with 1000+ concurrent connections
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- [ ] Optimize memory usage
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- [ ] Implement caching strategies
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- [ ] Add monitoring and observability
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---
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## Recommended Stack
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### Backend
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- **Framework**: Axum 0.7.x
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- **Async Runtime**: Tokio 1.x
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- **Middleware**: Tower, Tower-HTTP
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- **Database**: MongoDB with official async driver
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- **Connection Pooling**: Deadpool
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- **Serialization**: Serde
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- **Async Runtime**: Tokio with multi-threaded scheduler
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### Key Dependencies
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```toml
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[dependencies]
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axum = "0.7"
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tokio = { version = "1", features = ["full"] }
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tower = "0.4"
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tower-http = "0.5"
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mongodb = "3.0"
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serde = { version = "1", features = ["derive"] }
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serde_json = "1"
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```
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---
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## Next Steps
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1. ✅ Framework selected: **Axum**
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2. ⏭️ Select database: **MongoDB** (as planned)
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3. ⏭️ Design authentication system
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4. ⏭️ Create proof-of-concept
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5. ⏭️ Implement core features
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---
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## Conclusion
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Axum is the optimal choice for Normogen due to its superior I/O performance, better support for large data transfer, lower memory usage for concurrent connections, and excellent async patterns for lazy loading and encryption middleware.
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**Final Decision**: Use **Axum** for the Rust backend API.
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