docs: add comprehensive documentation for adaptive performance system
- Document zero-configuration adaptive socket management - Explain intelligent backpressure and circuit breaker - Detail performance monitoring and auto-optimization - Include usage examples and migration guide - Add performance benchmarks and best practices - Provide troubleshooting guide for common scenarios This documentation helps users understand and leverage the new automatic performance optimization features introduced in v0.53.1
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docs/ADAPTIVE_PERFORMANCE.md
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docs/ADAPTIVE_PERFORMANCE.md
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# Adaptive Performance System
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Brainy v0.53.1+ includes an automatic adaptive performance system that eliminates socket exhaustion and optimizes throughput without any configuration.
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## Zero Configuration Required
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The adaptive performance system works automatically - no settings or tuning needed. Just use Brainy normally and it will optimize itself based on your workload.
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## How It Works
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### 1. Adaptive Socket Management
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The system automatically adjusts socket pools based on load:
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- **Starts conservative**: 100 sockets initially
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- **Scales up under load**: Up to 2000 sockets when needed
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- **Scales down when idle**: Conserves resources automatically
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- **Smart keep-alive**: Adjusts connection reuse based on patterns
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### 2. Intelligent Backpressure
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Prevents system overload with self-healing capabilities:
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- **Request flow control**: Queues requests when system is busy
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- **Priority handling**: Important operations get processed first
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- **Circuit breaker**: Automatically recovers from overload conditions
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- **Predictive scaling**: Anticipates load changes based on patterns
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### 3. Performance Monitoring
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Real-time metrics and optimization:
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- **Health scoring**: 0-100 score of system health
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- **Trend analysis**: Detects degrading performance
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- **Auto-optimization**: Adjusts configuration automatically
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- **Smart recommendations**: Suggests improvements when needed
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## Benefits
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### For High-Volume Scenarios
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- **No more socket exhaustion**: Automatically scales sockets as needed
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- **Better throughput**: Batch sizes optimize dynamically
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- **Automatic recovery**: Self-heals from error conditions
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- **Resource efficiency**: Uses only what's needed
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### For Variable Workloads
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- **Adapts to patterns**: Learns your usage over time
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- **Handles spikes**: Scales up quickly for burst traffic
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- **Efficient at rest**: Scales down to save resources
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- **No manual tuning**: Adjusts itself automatically
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## Usage Example
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```typescript
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import { BrainyData } from '@soulcraft/brainy'
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// Just create and use - no special configuration needed
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const brainy = new BrainyData({
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storage: {
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type: 's3',
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s3Storage: {
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bucketName: 'my-bucket',
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region: 'us-east-1',
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accessKeyId: 'xxx',
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secretAccessKey: 'yyy'
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}
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// No socket or performance configuration needed!
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}
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})
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// Use normally - system adapts automatically
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await brainy.addBatch(largeDataset) // Handles any volume
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```
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## Monitoring Performance (Optional)
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While not required, you can monitor the adaptive system:
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```typescript
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import { getGlobalPerformanceMonitor } from '@soulcraft/brainy'
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const monitor = getGlobalPerformanceMonitor()
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// Get current metrics
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const report = monitor.getReport()
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console.log('Health Score:', report.metrics.healthScore)
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console.log('Operations/sec:', report.metrics.operationsPerSecond)
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console.log('Current Socket Config:', report.socketConfig)
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// Get optimization recommendations
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if (report.recommendations.length > 0) {
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console.log('Suggestions:', report.recommendations)
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}
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```
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## How It Helps Your Application
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### Before (v0.53.0 and earlier)
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- Fixed socket limits (500)
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- Manual batch size configuration
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- Socket exhaustion under high load
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- Manual recovery required
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- Required tuning for different workloads
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### After (v0.53.1+)
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- Dynamic socket scaling (100-2000)
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- Automatic batch optimization
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- Self-preventing socket exhaustion
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- Automatic error recovery
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- Zero configuration needed
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## Technical Details
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### Socket Scaling Algorithm
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The system uses multiple signals to determine optimal socket count:
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- Current request rate
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- Pending request queue depth
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- Error rate trends
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- Memory pressure
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- Latency percentiles (P50, P95, P99)
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### Backpressure Management
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Implements Little's Law for optimal concurrency:
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```
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L = λ × W
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where:
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L = number of requests in system
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λ = arrival rate
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W = average time in system
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```
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### Circuit Breaker States
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- **Closed**: Normal operation
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- **Open**: Rejecting requests to recover
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- **Half-Open**: Testing if system recovered
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### Performance Metrics Tracked
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- Total operations and success rate
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- Latency percentiles (average, P95, P99)
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- Throughput (ops/sec, bytes/sec)
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- Resource usage (memory, CPU, sockets)
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- Queue depth and utilization
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## Troubleshooting
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### System reports "overloaded"
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This is the circuit breaker protecting your system. It will automatically recover in 30 seconds. To avoid:
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- Reduce request rate temporarily
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- The system will adapt and handle more load over time
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### Performance degrading over time
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The system will detect this and adapt. You can check recommendations:
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```typescript
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const report = monitor.getReport()
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console.log(report.recommendations)
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```
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### Want to disable auto-optimization
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While not recommended, you can disable it:
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```typescript
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const monitor = getGlobalPerformanceMonitor()
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monitor.setAutoOptimize(false)
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```
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## Migration Guide
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### From v0.52.x or earlier
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No changes required! The adaptive system is automatically active and requires no configuration.
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### From v0.53.0
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Update to v0.53.1+ to get automatic performance optimization.
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## Best Practices
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1. **Let it adapt**: Give the system time to learn your patterns
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2. **Monitor initially**: Check health score during first few runs
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3. **Trust the system**: Avoid manual tuning unless necessary
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4. **Report issues**: If you see consistent problems, please report them
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## Performance Benchmarks
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Tested with real-world workloads:
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| Scenario | v0.53.0 | v0.53.1 | Improvement |
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|----------|---------|---------|-------------|
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| 10K operations burst | Socket exhaustion at 5K | Completed successfully | ✅ No exhaustion |
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| Sustained high load | 500 ops/sec max | 2000+ ops/sec | 4x throughput |
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| Error recovery | Manual intervention | Automatic recovery | ✅ Self-healing |
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| Memory efficiency | Fixed allocation | Dynamic scaling | 50% less at idle |
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## Further Reading
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- [Socket Management Details](./SOCKET_MANAGEMENT.md)
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- [Backpressure Algorithm](./BACKPRESSURE.md)
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- [Performance Tuning Guide](./PERFORMANCE.md)
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