PERFORMANCE.md

Performance Guide 🚀

Monitoring

The application includes built-in performance monitoring:

import { performance } from '../lib/performance';

// Measure async operations
const result = await performance.measure('operation-name', async () => {
  // Your code here
});

// Get metrics
const metrics = performance.getMetrics();

Optimization Techniques

1. Auto-Refresh Strategy

   • Components use useAutoRefresh hook
   • Configurable intervals
   • Smart caching
   • Network-aware updates

2. Resource Management

   • Docker resource limits
   • Memory monitoring
   • CPU usage optimization
   • Cache management

3. Network Optimization

   • Gzip compression
   • Browser caching
   • CDN integration
   • Asset optimization

4. Database Performance

   • Connection pooling
   • Query optimization
   • Proper indexing
   • Cache strategies

Best Practices

1. Component Optimization

   • Use memo/callback hooks
   • Lazy loading
   • Code splitting
   • Virtual scrolling

2. State Management

   • Efficient Zustand stores
   • Minimal re-renders
   • Proper caching
   • Optimistic updates

3. Asset Optimization

   • Image compression
   • Font optimization
   • Code minification
   • Tree shaking

4. Error Handling

   • Graceful degradation
   • Retry mechanisms
   • Error boundaries
   • User feedback

Monitoring Tools

1. Performance Monitor

   const metrics = performance.getMetrics();
   console.table(metrics);

2. Debug Panel

   • Real-time metrics
   • Operation timing
   • Memory usage
   • Network calls

Docker Optimization

1. Resource Limits

   deploy:
     resources:
       limits:
         cpus: '1'
         memory: 1G

2. Cache Configuration

   proxy_cache_path /var/cache/nginx levels=1:2 keys_zone=my_cache:10m;

Testing

1. Performance Tests

   npm run test:performance

2. Load Tests

   npm run test:load

Troubleshooting

1. Slow Operations

   • Check performance logs
   • Monitor resource usage
   • Review database queries
   • Optimize network calls

2. Memory Issues

   • Monitor heap usage
   • Check for leaks
   • Review component lifecycle
   • Optimize data structures