84 lines
2.1 KiB
Markdown
84 lines
2.1 KiB
Markdown
# Optimize Performance
|
|
|
|
Optimize the performance of the MEV bot in the following area: $ARGUMENTS
|
|
|
|
## Performance Optimization Strategy:
|
|
|
|
### 1. **Profiling and Measurement**
|
|
```bash
|
|
# CPU profiling
|
|
go tool pprof http://localhost:9090/debug/pprof/profile?seconds=30
|
|
|
|
# Memory profiling
|
|
go tool pprof http://localhost:9090/debug/pprof/heap
|
|
|
|
# Trace analysis
|
|
go tool trace trace.out
|
|
|
|
# Benchmark testing
|
|
go test -bench=. -benchmem ./...
|
|
```
|
|
|
|
### 2. **Optimization Areas**
|
|
|
|
#### **Concurrency Optimization**
|
|
- Worker pool sizing and configuration
|
|
- Channel buffer optimization
|
|
- Goroutine pooling and reuse
|
|
- Lock contention reduction
|
|
- Context cancellation patterns
|
|
|
|
#### **Memory Optimization**
|
|
- Object pooling for frequent allocations
|
|
- Buffer reuse patterns
|
|
- Garbage collection tuning
|
|
- Memory leak prevention
|
|
- Slice and map pre-allocation
|
|
|
|
#### **I/O Optimization**
|
|
- Connection pooling for RPC calls
|
|
- Request batching and pipelining
|
|
- Caching frequently accessed data
|
|
- Asynchronous processing patterns
|
|
- Rate limiting optimization
|
|
|
|
#### **Algorithm Optimization**
|
|
- Uniswap math calculation efficiency
|
|
- Event parsing performance
|
|
- Data structure selection
|
|
- Caching strategies
|
|
- Indexing improvements
|
|
|
|
### 3. **MEV Bot Specific Optimizations**
|
|
|
|
#### **Transaction Processing Pipeline**
|
|
- Parallel transaction processing
|
|
- Event filtering optimization
|
|
- Batch processing strategies
|
|
- Pipeline stage optimization
|
|
|
|
#### **Market Analysis**
|
|
- Price calculation caching
|
|
- Pool data caching
|
|
- Historical data indexing
|
|
- Real-time processing optimization
|
|
|
|
#### **Arbitrage Detection**
|
|
- Opportunity scanning efficiency
|
|
- Profit calculation optimization
|
|
- Market impact analysis speed
|
|
- Cross-DEX comparison performance
|
|
|
|
## Implementation Guidelines:
|
|
- Measure before optimizing (baseline metrics)
|
|
- Focus on bottlenecks identified through profiling
|
|
- Maintain code readability and maintainability
|
|
- Add performance tests for regressions
|
|
- Document performance characteristics
|
|
|
|
## Deliverables:
|
|
- Performance benchmark results (before/after)
|
|
- Optimized code with maintained functionality
|
|
- Performance monitoring enhancements
|
|
- Optimization documentation
|
|
- Regression test suite |