1.6 KiB
1.6 KiB
Tune Concurrency Patterns
Tune concurrency patterns for the following component: $ARGUMENTS
Concurrency Tuning Strategy:
1. Current Pattern Analysis
- Identify existing concurrency patterns (worker pools, pipelines, etc.)
- Measure current performance and resource utilization
- Analyze bottlenecks in concurrent processing
2. Optimization Areas
Worker Pool Tuning
- Optimal worker count based on CPU cores and workload
- Channel buffer sizing for backpressure management
- Task distribution strategies
- Worker lifecycle management
Pipeline Optimization
- Stage balancing to prevent bottlenecks
- Buffer sizing between pipeline stages
- Error propagation and recovery
- Context cancellation handling
Fan-in/Fan-out Patterns
- Optimal fan-out ratios
- Result merging strategies
- Resource allocation across branches
- Synchronization mechanisms
3. MEV Bot Specific Tuning
Transaction Processing
- Optimal concurrent transaction processing
- Event parsing parallelization
- Memory usage per goroutine
Market Analysis
- Concurrent pool data fetching
- Parallel arbitrage calculations
- Resource sharing between analysis tasks
Implementation Guidelines:
- Test with realistic workload patterns
- Monitor resource utilization (CPU, memory, goroutines)
- Ensure graceful degradation under load
- Maintain error handling and recovery mechanisms
Deliverables:
- Concurrency tuning recommendations
- Performance benchmarks with different configurations
- Resource utilization analysis
- Configuration guidelines for different environments
- Monitoring and alerting for concurrency issues