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Performance Optimization

Giriş

Performance optimization, modern .NET uygulamalarında user experience, scalability ve resource utilization için kritik öneme sahiptir. Mid-level geliştiriciler için performance optimization tekniklerini anlamak, high-performance applications geliştirmek ve performance bottlenecks'leri çözmek için gereklidir. Bu bölüm, caching, database optimization, memory management, async programming ve profiling konularını kapsar.

Kapsanan Konular

1. Caching

Memory caching, distributed caching, ve cache optimization strategies.

Öğrenilecekler: - Memory cache strategies - Distributed cache usage - Cache invalidation - Cache patterns - Performance impact

2. Database Optimization

Query optimization, indexing, ve database performance tuning.

Öğrenilecekler: - Query optimization - Index strategies - Connection pooling - Query caching - Performance monitoring

3. Memory Management

Memory allocation, garbage collection, ve memory optimization.

Öğrenilecekler: - Memory allocation patterns - Garbage collection optimization - Memory pooling - Memory leaks prevention - Performance monitoring

4. Async Programming

Asynchronous patterns, task management, ve performance optimization.

Öğrenilecekler: - Async/await patterns - Task optimization - Parallel processing - Resource utilization - Performance improvement

5. Profiling

Performance measurement, bottleneck identification, ve optimization strategies.

Öğrenilecekler: - Performance profiling tools - Bottleneck identification - Optimization strategies - Performance testing - Monitoring strategies

Neden Önemli?

1. User Experience

  • Faster response times
  • Better user satisfaction
  • Reduced waiting times
  • Improved usability

2. Scalability

  • Better resource utilization
  • Higher throughput
  • Improved capacity
  • Cost optimization

3. Business Impact

  • Better conversion rates
  • Improved customer retention
  • Reduced infrastructure costs
  • Competitive advantage

4. Technical Excellence

  • Better code quality
  • Improved maintainability
  • Reduced technical debt
  • Professional development

Mülakat Soruları

Temel Sorular

  1. Performance optimization nedir?

  2. Cevap: Performance improvement, bottleneck elimination, resource optimization.

  3. Caching ne zaman kullanılır?

  4. Cevap: Frequently accessed data, expensive operations, performance improvement.

  5. Database optimization nasıl yapılır?

  6. Cevap: Query optimization, indexing, connection pooling, monitoring.

  7. Memory management neden önemlidir?

  8. Cevap: Resource utilization, garbage collection, memory leaks, performance.

  9. Profiling nedir?

  10. Cevap: Performance measurement, bottleneck identification, optimization planning.

Teknik Sorular

  1. Cache invalidation nasıl yapılır?

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

  3. Query performance nasıl optimize edilir?

  4. Cevap: Indexing, query rewriting, execution plan analysis, monitoring.

  5. Memory leaks nasıl önlenir?

  6. Cevap: Proper disposal, weak references, memory profiling, monitoring.

  7. Async performance nasıl optimize edilir?

  8. Cevap: Task composition, resource pooling, parallel processing, monitoring.

  9. Performance bottlenecks nasıl tespit edilir?

  10. Cevap: Profiling tools, monitoring, metrics analysis, load testing.

Best Practices

1. Caching Strategy

  • Choose appropriate cache types
  • Implement proper invalidation
  • Monitor cache performance
  • Plan for scalability
  • Handle cache failures

2. Database Optimization

  • Optimize queries
  • Use appropriate indexes
  • Implement connection pooling
  • Monitor performance
  • Plan for growth

3. Memory Management

  • Optimize allocations
  • Monitor garbage collection
  • Prevent memory leaks
  • Use memory pooling
  • Profile memory usage

4. Async Optimization

  • Use appropriate patterns
  • Optimize task composition
  • Implement parallel processing
  • Monitor resource usage
  • Plan for scalability

5. Performance Monitoring

  • Implement comprehensive monitoring
  • Use profiling tools
  • Track key metrics
  • Set up alerting
  • Plan for optimization

Kaynaklar