Connecting Performance and Errors
Performance issues often correlate with errors. By analyzing both metrics together, you can identify root causes and improve overall application health.
Key Correlations to Monitor
Several performance metrics correlate strongly with error rates:
Important Correlations
- Page load time vs. JavaScript errors
- API response time vs. server errors
- Memory usage vs. application crashes
- Database query time vs. database errors
- CDN performance vs. resource loading errors
Implementation Strategy
To correlate performance and error data, you need to:
Correlation Implementation
- Use consistent session/user identifiers
- Implement distributed tracing
- Collect performance metrics alongside errors
- Set up real-time correlation analysis
- Create dashboards showing both metrics
Analysis Techniques
Use statistical analysis to identify meaningful correlations:
Correlation Analysis
- Time-series analysis of performance vs. error rates
- Statistical correlation coefficients
- Anomaly detection for unusual patterns
- Regression analysis for predictive insights
- Machine learning for pattern recognition