performance.md•2.81 kB
---
name: performance
description: Monitor and optimize system performance with batchtools
---
# 📊 Performance Monitoring & Optimization
Real-time performance monitoring and optimization tools for Claude-Flow operations.
## Performance Metrics
### System Metrics
- **CPU Usage**: Multi-core utilization during parallel operations
- **Memory Usage**: RAM consumption and optimization
- **I/O Throughput**: Disk and network operation efficiency
- **Task Queue**: Operation queue depth and processing speed
### Batchtools Metrics
- **Parallel Efficiency**: Speedup ratio from concurrent processing
- **Batch Optimization**: Grouping effectiveness and resource utilization
- **Error Rates**: Success/failure rates for parallel operations
- **Resource Contention**: Conflicts and bottlenecks in concurrent operations
## Monitoring Commands
### Real-time Monitoring
```bash
# Monitor all system performance
./claude-flow performance monitor --real-time --all
# Focus on parallel operations
./claude-flow performance monitor --parallel --batchtools
# Monitor specific components
./claude-flow performance monitor --focus sparc --concurrent
```
### Performance Analysis
```bash
# Generate performance report
./claude-flow performance report --detailed --timeframe 24h
# Analyze batch operation efficiency
./claude-flow performance analyze --batchtools --optimization
# Compare performance across different modes
./claude-flow performance compare --modes architect,code,tdd
```
## Optimization Recommendations
### Automatic Optimization
- **Smart Batching**: Automatically group related operations
- **Dynamic Scaling**: Adjust concurrency based on system resources
- **Resource Allocation**: Optimize memory and CPU usage
- **Cache Management**: Intelligent caching for repeated operations
### Manual Tuning
- **Batch Size**: Adjust batch sizes based on operation type
- **Concurrency Limits**: Set optimal parallel operation limits
- **Resource Limits**: Configure memory and CPU constraints
- **Timeout Settings**: Optimize timeouts for parallel operations
## Performance Tuning
### Configuration Optimization
```json
{
"performance": {
"batchtools": {
"maxConcurrent": 10,
"batchSize": 20,
"enableOptimization": true,
"smartBatching": true
},
"monitoring": {
"realTimeMetrics": true,
"performanceLogging": true,
"resourceAlerts": true
}
}
}
```
### Best Practices
- Monitor performance during development and production
- Use real-time metrics to identify bottlenecks
- Adjust concurrency based on system capabilities
- Implement performance alerts for critical thresholds
- Regular performance analysis and optimization
For comprehensive performance guides, see: https://github.com/ruvnet/claude-code-flow/docs/performance.md