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Performance Engineering

Giriş

Performance Engineering, modern software systems'de performance optimization, capacity planning ve scalability için kritik öneme sahiptir. Senior-level developers için performance engineering konularını anlamak, performance testing implement etmek, capacity planning yapmak ve performance monitoring kurmak için gereklidir. Bu bölüm, performance testing, capacity planning, performance monitoring, performance optimization ve scalability patterns konularını kapsar.

Kapsanan Konular

1. Performance Testing

Load testing, stress testing, ve performance validation.

Öğrenilecekler: - Load testing - Stress testing - Performance validation - Performance metrics - Performance analysis

2. Capacity Planning

Resource planning, scaling strategies, ve capacity optimization.

Öğrenilecekler: - Resource planning - Scaling strategies - Capacity optimization - Growth forecasting - Cost optimization

3. Performance Monitoring

Real-time monitoring, performance metrics, ve alerting.

Öğrenilecekler: - Real-time monitoring - Performance metrics - Alerting systems - Performance dashboards - Trend analysis

4. Performance Optimization

Code optimization, system optimization, ve bottleneck identification.

Öğrenilecekler: - Code optimization - System optimization - Bottleneck identification - Performance profiling - Optimization techniques

5. Scalability Patterns

Horizontal scaling, vertical scaling, ve distributed scaling.

Öğrenilecekler: - Horizontal scaling - Vertical scaling - Distributed scaling - Load balancing - Auto-scaling

Neden Önemli?

1. User Experience

  • Fast response times
  • Smooth interactions
  • Reliable performance
  • User satisfaction
  • Competitive advantage

2. System Reliability

  • High availability
  • Fault tolerance
  • Performance stability
  • Resource efficiency
  • Cost optimization

3. Business Impact

  • Customer satisfaction
  • Revenue growth
  • Cost reduction
  • Market position
  • Operational efficiency

4. Technical Excellence

  • Performance optimization
  • Best practices
  • Proven patterns
  • Monitoring capabilities
  • Continuous improvement

Mülakat Soruları

Temel Sorular

  1. Performance testing nedir?

  2. Cevap: Load testing, stress testing, performance validation, metrics collection.

  3. Capacity planning nedir?

  4. Cevap: Resource planning, scaling strategies, growth forecasting, cost optimization.

  5. Performance monitoring nedir?

  6. Cevap: Real-time monitoring, metrics collection, alerting, trend analysis.

  7. Performance optimization nedir?

  8. Cevap: Code optimization, system optimization, bottleneck identification, profiling.

  9. Scalability nedir?

  10. Cevap: Horizontal scaling, vertical scaling, load distribution, auto-scaling.

Teknik Sorular

  1. Performance testing nasıl planlanır?

  2. Cevap: Test scenarios, metrics definition, environment setup, result analysis.

  3. Capacity planning nasıl yapılır?

  4. Cevap: Current usage analysis, growth projection, resource planning, scaling strategy.

  5. Performance monitoring nasıl kurulur?

  6. Cevap: Metrics collection, alerting setup, dashboard creation, trend monitoring.

  7. Performance bottlenecks nasıl tespit edilir?

  8. Cevap: Profiling tools, metrics analysis, load testing, system monitoring.

  9. Scalability patterns nasıl implement edilir?

  10. Cevap: Load balancing, auto-scaling, distributed systems, caching strategies.

Best Practices

1. Performance Testing

  • Define clear objectives
  • Use realistic test data
  • Monitor system resources
  • Analyze results thoroughly
  • Plan for scaling

2. Capacity Planning

  • Monitor current usage
  • Project future growth
  • Plan for peak loads
  • Optimize resource usage
  • Plan for scaling

3. Performance Monitoring

  • Define key metrics
  • Set up alerting
  • Create dashboards
  • Monitor trends
  • Plan for improvement

4. Performance Optimization

  • Profile before optimizing
  • Focus on bottlenecks
  • Measure improvements
  • Test thoroughly
  • Plan for maintenance

5. Scalability Implementation

  • Design for scaling
  • Implement load balancing
  • Use caching strategies
  • Monitor performance
  • Plan for growth

Kaynaklar