# Performance Optimizasyonu - FikoYT

## 🚀 Frontend Optimizasyonu

### Three.js Rendering
- **Frustum culling**: Frame 2'de bir güncelleme
- **Object pooling**: 1000 objeden sonra devreye girer
- **Instanced mesh**: Tek geometri, çoklu matris
- **LOD system**: Mesafeye göre detay seviyesi
- **Web Workers**: Agregasyon hesaplamaları

### Angular Optimizasyonu
- **OnPush change detection**: Manuel trigger
- **Signals**: React state yönetimi
- **Lazy loading**: Modüller ihtiyaç anında yüklenir
- **TrackBy**: NgFor optimizasyonu
- **Virtual scrolling**: Büyük listeler

## ⚡ Backend Optimizasyonu

### Go Fiber v3
- **Worker pools**: Paralel işlemler
- **Connection pooling**: MongoDB bağlantıları
- **Redis cache**: Sık kullanılan veriler
- **Middleware optimization**: Sıralı zincir
- **Gzip compression**: Response boyutları

### MongoDB Optimizasyonu
- **Compound indexes**: Çoklu alan sorguları
- **Projection**: Gereksiz alanları hariç tut
- **Aggregation pipelines**: Veritabanı seviyesinde işlemler
- **Bulk operations**: Çoklu işlemler tek seferde
- **Sharding**: Büyük veri setleri

## 📊 Caching Stratejileri

### Frontend Cache
```typescript
// Dexie IndexedDB
@Indexed() id: string;
@Indexed() cache_date: Date;
@Indexed() expiry: number;

// Service Worker
self.addEventListener('fetch', event => {
    if (event.request.destination === 'image') {
        event.respondWith(
            caches.match(event.request).then(response => {
                return response || fetch(event.request);
            })
        );
    }
});
```

### Backend Cache
```go
// Redis cache pattern
func GetWithCache(key string, fn func() (interface{}, error)) (interface{}, error) {
    if cached := redis.Get(key); cached != "" {
        return json.Unmarshal(cached)
    }

    data, err := fn()
    if err == nil {
        redis.Set(key, json.Marshal(data), 5*time.Minute)
    }
    return data, err
}
```

## 🎯 Memory Management

### Three.js
```typescript
// Dispose pattern
dispose() {
    // Recursive cleanup
    this.traverse(child => {
        child.geometry?.dispose();
        (child.material as THREE.Material)?.dispose();
    });

    // Event listener cleanup
    this.removeEventListener('click', this.onClick);
}
```

### Go Garbage Collection
```go
// Object pooling
var bufferPool = sync.Pool{
    New: func() interface{} {
        return make([]byte, 0, 1024)
    },
}

func processData(data []byte) {
    buf := bufferPool.Get().([]byte)
    defer bufferPool.Put(buf[:0])
    // Process with buffer
}
```

## 🔄 Async Processing

### FreeCAD Rendering
- **Queue system**: Redis task queue
- **Worker processes**: 4 parallel CPU
- **GPU acceleration**: CUDA 12.2.0
- **Progress tracking**: Socket.io events
- **Result caching**: File-based cache

### File Processing
```go
// Async file handler
func processFileAsync(file *multipart.FileHeader) {
    go func() {
        // Process in background
        result := processFile(file)

        // Notify via WebSocket
        socket.Emit("file_processed", result)
    }()
}
```

## 📈 Performance Metrics

### Frontend
- **First Contentful Paint**: < 1.5s
- **Largest Contentful Paint**: < 2.5s
- **Time to Interactive**: < 3.5s
- **Cumulative Layout Shift**: < 0.1
- **First Input Delay**: < 100ms

### Backend
- **Response time**: 95th percentile < 200ms
- **Throughput**: 1000 req/s
- **CPU usage**: < 70%
- **Memory usage**: < 4GB
- **Database connections**: < 100

## 🛠️ Monitoring Tools

### Application Monitoring
```typescript
// Performance observer
const perfObserver = new PerformanceObserver((list) => {
    for (const entry of list.getEntries()) {
        console.log(`${entry.name}: ${entry.duration}ms`);
    }
});
perfObserver.observe({entryTypes: ['measure', 'navigation']});
```

### System Monitoring
```go
// Prometheus metrics
var (
    requestDuration = prometheus.NewHistogramVec(
        prometheus.HistogramOpts{
            Name: "http_request_duration_seconds",
        },
        []string{"method", "route"},
    )
)
```

## 🎛️ Load Balancing

### Horizontal Scaling
- **Go instances**: Multiple servers
- **Session affinity**: Sticky sessions
- **Health checks**: Active/passive kontrol
- **Auto scaling**: CPU bazlı

### Database Scaling
- **Read replicas**: Okuma işlemleri için
- **Connection pooling**: Maksimum verim
- **Query optimization**: Index kullanımı
- **Sharding**: Veri dağıtımı

## 🔧 Optimization Checklist

### Daily Checks
- [ ] Cache hit ratio > 80%
- [ ] Response times < 200ms
- [ ] Error rate < 0.1%
- [ ] Memory usage stable
- [ ] No memory leaks

### Weekly Reviews
- [ ] Index usage analysis
- [ ] Slow query log review
- [ ] Bundle size analysis
- [ ] Performance regression test
- [ ] Load test results

### Monthly Deep Dives
- [ ] Database schema review
- [ ] Algorithm complexity analysis
- [ ] CDN optimization review
- [ ] Caching strategy review
- [ ] Infrastructure scaling plan

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2025-11-06