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Asenkron İşlemler

Giriş

Asenkron işlemler, modern .NET uygulamalarında responsive, scalable ve performanslı uygulamalar geliştirmek için kritik öneme sahiptir. Mid-level geliştiriciler için asenkron programlama tekniklerini anlamak, background job processing, task scheduling ve reactive programming konularında uzmanlaşmak, enterprise-level uygulamalar geliştirmek için gereklidir. Bu bölüm, background jobs, Hangfire, Quartz.NET, Task Parallel Library (TPL) ve reactive programming konularını kapsar.

Kapsanan Konular

1. Background Jobs

Background job processing, job queuing, ve asynchronous task execution.

Öğrenilecekler: - Background job patterns - Job queuing strategies - Job persistence - Job retry mechanisms - Job monitoring

2. Hangfire

Hangfire job scheduling, background job processing, ve job management.

Öğrenilecekler: - Hangfire setup - Job scheduling - Recurring jobs - Job filters - Dashboard configuration

3. Quartz.NET

Quartz.NET job scheduling, cron expressions, ve advanced scheduling.

Öğrenilecekler: - Quartz.NET configuration - Job scheduling - Cron expressions - Job clustering - Job persistence

4. Task Parallel Library (TPL)

Advanced task management, parallel processing, ve task coordination.

Öğrenilecekler: - Task composition - Parallel processing - Task coordination - Cancellation support - Exception handling

5. Reactive Programming

Reactive Extensions (Rx), event streams, ve reactive patterns.

Öğrenilecekler: - Observable patterns - Event streams - Reactive operators - Backpressure handling - Error handling

Neden Önemli?

1. Performance & Scalability

  • Non-blocking operations
  • Resource utilization optimization
  • Horizontal scaling support
  • Better user experience

2. System Reliability

  • Fault tolerance
  • Retry mechanisms
  • Circuit breaker patterns
  • Graceful degradation

3. User Experience

  • Responsive applications
  • Background processing
  • Real-time updates
  • Non-blocking UI

4. Resource Management

  • Efficient resource utilization
  • Memory management
  • CPU optimization
  • I/O optimization

Mülakat Soruları

Temel Sorular

  1. Asenkron programlama nedir?

  2. Cevap: Non-blocking operations, async/await pattern, Task-based programming.

  3. Background job nedir?

  4. Cevap: Asynchronous task execution, job queuing, background processing.

  5. Hangfire nedir?

  6. Cevap: Background job processing library, job scheduling, .NET integration.

  7. Quartz.NET nedir?

  8. Cevap: Job scheduling library, cron expressions, enterprise scheduling.

  9. TPL nedir?

  10. Cevap: Task Parallel Library, task management, parallel processing.

Teknik Sorular

  1. Background job nasıl implement edilir?

  2. Cevap: Job queuing, persistence, retry mechanisms, monitoring.

  3. Hangfire ile recurring job nasıl oluşturulur?

  4. Cevap: RecurringJob.AddOrUpdate, cron expressions, job persistence.

  5. Quartz.NET ile job clustering nasıl yapılır?

  6. Cevap: Job store configuration, clustering setup, failover strategies.

  7. TPL ile parallel processing nasıl yapılır?

  8. Cevap: Parallel.ForEach, Task.WhenAll, cancellation support.

  9. Reactive programming ile event stream nasıl handle edilir?

  10. Cevap: Observable patterns, event streams, backpressure handling.

Best Practices

1. Async/Await Usage

  • Use ConfigureAwait(false) appropriately
  • Handle exceptions properly
  • Implement cancellation support
  • Avoid async void methods
  • Use async all the way

2. Background Job Management

  • Implement proper retry mechanisms
  • Handle job failures gracefully
  • Monitor job execution
  • Implement job persistence
  • Plan for scalability

3. Task Coordination

  • Use appropriate task composition
  • Handle task exceptions
  • Implement cancellation support
  • Monitor task performance
  • Plan for resource limits

4. Reactive Programming

  • Understand backpressure
  • Handle errors appropriately
  • Use appropriate operators
  • Monitor stream performance
  • Plan for memory usage

5. Performance Optimization

  • Minimize blocking operations
  • Use appropriate concurrency levels
  • Monitor resource usage
  • Implement caching strategies
  • Plan for scalability

Kaynaklar