79b5d86325
- Auth: Login/Register con creacion de clinica - Dashboard: KPIs reales, graficas recharts - Pacientes: CRUD completo con busqueda - Agenda: FullCalendar, drag-and-drop, vista recepcion - Expediente: Notas SOAP, signos vitales, CIE-10 - Facturacion: Facturas con IVA, campos CFDI SAT - Inventario: Productos, stock, movimientos, alertas - Configuracion: Clinica, equipo, catalogo servicios - Supabase self-hosted: 18 tablas con RLS multi-tenant - Docker + Nginx para produccion Co-Authored-By: claude-flow <ruv@ruv.net>
163 lines
3.5 KiB
Markdown
163 lines
3.5 KiB
Markdown
# bottleneck detect
|
|
|
|
Analyze performance bottlenecks in swarm operations and suggest optimizations.
|
|
|
|
## Usage
|
|
|
|
```bash
|
|
npx claude-flow bottleneck detect [options]
|
|
```
|
|
|
|
## Options
|
|
|
|
- `--swarm-id, -s <id>` - Analyze specific swarm (default: current)
|
|
- `--time-range, -t <range>` - Analysis period: 1h, 24h, 7d, all (default: 1h)
|
|
- `--threshold <percent>` - Bottleneck threshold percentage (default: 20)
|
|
- `--export, -e <file>` - Export analysis to file
|
|
- `--fix` - Apply automatic optimizations
|
|
|
|
## Examples
|
|
|
|
### Basic bottleneck detection
|
|
|
|
```bash
|
|
npx claude-flow bottleneck detect
|
|
```
|
|
|
|
### Analyze specific swarm
|
|
|
|
```bash
|
|
npx claude-flow bottleneck detect --swarm-id swarm-123
|
|
```
|
|
|
|
### Last 24 hours with export
|
|
|
|
```bash
|
|
npx claude-flow bottleneck detect -t 24h -e bottlenecks.json
|
|
```
|
|
|
|
### Auto-fix detected issues
|
|
|
|
```bash
|
|
npx claude-flow bottleneck detect --fix --threshold 15
|
|
```
|
|
|
|
## Metrics Analyzed
|
|
|
|
### Communication Bottlenecks
|
|
|
|
- Message queue delays
|
|
- Agent response times
|
|
- Coordination overhead
|
|
- Memory access patterns
|
|
|
|
### Processing Bottlenecks
|
|
|
|
- Task completion times
|
|
- Agent utilization rates
|
|
- Parallel execution efficiency
|
|
- Resource contention
|
|
|
|
### Memory Bottlenecks
|
|
|
|
- Cache hit rates
|
|
- Memory access patterns
|
|
- Storage I/O performance
|
|
- Neural pattern loading
|
|
|
|
### Network Bottlenecks
|
|
|
|
- API call latency
|
|
- MCP communication delays
|
|
- External service timeouts
|
|
- Concurrent request limits
|
|
|
|
## Output Format
|
|
|
|
```
|
|
🔍 Bottleneck Analysis Report
|
|
━━━━━━━━━━━━━━━━━━━━━━━━━━━
|
|
|
|
📊 Summary
|
|
├── Time Range: Last 1 hour
|
|
├── Agents Analyzed: 6
|
|
├── Tasks Processed: 42
|
|
└── Critical Issues: 2
|
|
|
|
🚨 Critical Bottlenecks
|
|
1. Agent Communication (35% impact)
|
|
└── coordinator → coder-1 messages delayed by 2.3s avg
|
|
|
|
2. Memory Access (28% impact)
|
|
└── Neural pattern loading taking 1.8s per access
|
|
|
|
⚠️ Warning Bottlenecks
|
|
1. Task Queue (18% impact)
|
|
└── 5 tasks waiting > 10s for assignment
|
|
|
|
💡 Recommendations
|
|
1. Switch to hierarchical topology (est. 40% improvement)
|
|
2. Enable memory caching (est. 25% improvement)
|
|
3. Increase agent concurrency to 8 (est. 20% improvement)
|
|
|
|
✅ Quick Fixes Available
|
|
Run with --fix to apply:
|
|
- Enable smart caching
|
|
- Optimize message routing
|
|
- Adjust agent priorities
|
|
```
|
|
|
|
## Automatic Fixes
|
|
|
|
When using `--fix`, the following optimizations may be applied:
|
|
|
|
1. **Topology Optimization**
|
|
|
|
- Switch to more efficient topology
|
|
- Adjust communication patterns
|
|
- Reduce coordination overhead
|
|
|
|
2. **Caching Enhancement**
|
|
|
|
- Enable memory caching
|
|
- Optimize cache strategies
|
|
- Preload common patterns
|
|
|
|
3. **Concurrency Tuning**
|
|
|
|
- Adjust agent counts
|
|
- Optimize parallel execution
|
|
- Balance workload distribution
|
|
|
|
4. **Priority Adjustment**
|
|
- Reorder task queues
|
|
- Prioritize critical paths
|
|
- Reduce wait times
|
|
|
|
## Performance Impact
|
|
|
|
Typical improvements after bottleneck resolution:
|
|
|
|
- **Communication**: 30-50% faster message delivery
|
|
- **Processing**: 20-40% reduced task completion time
|
|
- **Memory**: 40-60% fewer cache misses
|
|
- **Overall**: 25-45% performance improvement
|
|
|
|
## Integration with Claude Code
|
|
|
|
```javascript
|
|
// Check for bottlenecks in Claude Code
|
|
mcp__claude-flow__bottleneck_detect {
|
|
timeRange: "1h",
|
|
threshold: 20,
|
|
autoFix: false
|
|
}
|
|
```
|
|
|
|
## See Also
|
|
|
|
- `performance report` - Detailed performance analysis
|
|
- `token usage` - Token optimization analysis
|
|
- `swarm monitor` - Real-time monitoring
|
|
- `cache manage` - Cache optimization
|