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Caching Stratejileri

Giriş

Caching stratejileri, modern .NET uygulamalarında performans optimizasyonu için kritik öneme sahiptir. Mid-level geliştiriciler için caching'in farklı türlerini anlamak, uygun caching stratejilerini seçmek ve implement etmek, production-ready uygulamalar geliştirmek için gereklidir. Bu bölüm, in-memory caching, distributed caching, cache invalidation, cache patterns ve Redis kullanımı konularını kapsar.

Kapsanan Konular

1. In-Memory Caching

Application memory'de veri saklama, memory management, ve in-memory cache optimization.

Öğrenilecekler: - IMemoryCache interface - Memory cache configuration - Cache size management - Memory pressure handling - Cache eviction policies

2. Distributed Caching

Multiple application instances arasında cache sharing, cache synchronization, ve distributed cache management.

Öğrenilecekler: - IDistributedCache interface - Cache serialization - Cache synchronization - Network latency handling - Cache consistency

3. Cache Invalidation

Cache data freshness management, invalidation strategies, ve cache coherence.

Öğrenilecekler: - Time-based expiration - Event-based invalidation - Cache dependency invalidation - Manual invalidation - Cache warming strategies

4. Cache Patterns

Common caching patterns, best practices, ve anti-patterns.

Öğrenilecekler: - Cache-Aside pattern - Write-Through pattern - Write-Behind pattern - Refresh-Ahead pattern - Cache-As-SoF pattern

5. Redis Kullanımı

Redis cache server integration, Redis data structures, ve Redis optimization.

Öğrenilecekler: - Redis connection management - Redis data types - Redis clustering - Redis persistence - Redis performance tuning

Neden Önemli?

1. Performance Improvement

  • Response time reduction
  • Database load reduction
  • Network latency mitigation
  • Resource utilization optimization

2. Scalability

  • Horizontal scaling support
  • Load distribution
  • Resource sharing
  • Capacity planning

3. User Experience

  • Faster page loads
  • Responsive applications
  • Reduced waiting times
  • Better user satisfaction

4. Cost Optimization

  • Infrastructure cost reduction
  • Database licensing optimization
  • Network bandwidth savings
  • Resource efficiency

Mülakat Soruları

Temel Sorular

  1. Caching nedir ve neden kullanılır?

  2. Cevap: Data storage optimization, performance improvement, resource utilization.

  3. In-memory vs distributed caching farkı nedir?

  4. Cevap: Memory scope, scalability, consistency, performance characteristics.

  5. Cache invalidation nasıl yapılır?

  6. Cevap: Time-based, event-based, dependency-based, manual invalidation.

  7. Cache patterns nelerdir?

  8. Cevap: Cache-Aside, Write-Through, Write-Behind, Refresh-Ahead.

  9. Redis nedir ve ne için kullanılır?

  10. Cevap: In-memory data structure store, caching, session storage, message broker.

Teknik Sorular

  1. Cache hit ratio nasıl optimize edilir?

  2. Cevap: Proper key design, cache size optimization, eviction policies.

  3. Distributed cache consistency nasıl sağlanır?

  4. Cevap: Cache synchronization, invalidation strategies, consistency models.

  5. Cache memory pressure nasıl handle edilir?

  6. Cevap: Eviction policies, memory limits, cache size management.

  7. Redis clustering nasıl implement edilir?

  8. Cevap: Master-slave replication, sharding, failover strategies.

  9. Cache warming nasıl yapılır?

  10. Cevap: Pre-loading strategies, background processes, startup optimization.

Best Practices

1. Cache Design

  • Design appropriate cache keys
  • Implement proper expiration policies
  • Use appropriate cache sizes
  • Plan cache eviction strategies
  • Monitor cache performance

2. Cache Invalidation

  • Implement proper invalidation strategies
  • Use event-based invalidation
  • Handle cache dependencies
  • Implement cache warming
  • Monitor cache coherence

3. Performance Optimization

  • Optimize cache hit ratios
  • Minimize cache misses
  • Use appropriate serialization
  • Implement cache compression
  • Monitor cache latency

4. Scalability

  • Plan for horizontal scaling
  • Implement cache partitioning
  • Use appropriate cache topologies
  • Handle cache synchronization
  • Plan for failover scenarios

5. Monitoring & Maintenance

  • Monitor cache performance
  • Track cache hit ratios
  • Monitor memory usage
  • Implement cache health checks
  • Plan cache maintenance

Kaynaklar