Performance Troubleshooting Runbook¶
Overview¶
This runbook provides procedures for diagnosing and resolving performance issues.
Performance Monitoring¶
Key Metrics¶
- Response Time: API endpoint response times
- Throughput: Requests per second
- Error Rate: Failed requests percentage
- Resource Usage: CPU, memory, disk, network
Monitoring Tools¶
- Prometheus metrics
- Grafana dashboards
- Application logs
- System monitoring
Common Performance Issues¶
High Response Time¶
- Database Issues
- Slow queries
- Connection pool exhaustion
- Lock contention
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Missing indexes
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Application Issues
- Inefficient algorithms
- Memory leaks
- Blocking operations
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Resource contention
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Infrastructure Issues
- Network latency
- Disk I/O bottlenecks
- CPU saturation
- Memory pressure
Troubleshooting Steps¶
- Identify Bottlenecks
- Check system metrics
- Analyze application logs
- Review database performance
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Monitor network traffic
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Root Cause Analysis
- Profile application code
- Analyze query performance
- Check resource utilization
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Review configuration
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Resolution
- Optimize queries
- Tune application settings
- Scale resources
- Update configurations
Performance Optimization¶
Database Optimization¶
- Add missing indexes
- Optimize query plans
- Tune connection pools
- Update statistics
Application Optimization¶
- Profile code performance
- Optimize algorithms
- Reduce memory usage
- Implement caching
Infrastructure Optimization¶
- Scale resources
- Optimize network
- Tune system parameters
- Update configurations
Performance Testing¶
- Load testing
- Stress testing
- Capacity planning
- Benchmarking