Custom Performance Metrics vs Standard Performance Metrics

Developers should learn and use Custom Performance Metrics when standard metrics don't capture the user experience or business goals of their application, such as in complex single-page applications, real-time systems, or e-commerce platforms where specific interactions directly impact revenue meets developers should learn and use standard performance metrics to identify bottlenecks, improve system scalability, and validate performance against service-level agreements (slas). Here's our take.

Custom Performance Metrics

Nice Pick

Developers should learn and use Custom Performance Metrics when standard metrics don't capture the user experience or business goals of their application, such as in complex single-page applications, real-time systems, or e-commerce platforms where specific interactions directly impact revenue

Pros

• They are essential for identifying performance bottlenecks unique to the application's architecture, enabling targeted optimizations and improving overall user satisfaction and retention
• Related to: performance-api, web-vitals

Cons

• Specific tradeoffs depend on your use case

Standard Performance Metrics

Developers should learn and use standard performance metrics to identify bottlenecks, improve system scalability, and validate performance against service-level agreements (SLAs)

Pros

• They are critical in scenarios like load testing web applications, optimizing database queries, or benchmarking machine learning models to ensure efficient resource usage and user satisfaction
• Related to: performance-testing, load-testing

Cons

• Specific tradeoffs depend on your use case

The Verdict

Use Custom Performance Metrics if: You want they are essential for identifying performance bottlenecks unique to the application's architecture, enabling targeted optimizations and improving overall user satisfaction and retention and can live with specific tradeoffs depend on your use case.

Use Standard Performance Metrics if: You prioritize they are critical in scenarios like load testing web applications, optimizing database queries, or benchmarking machine learning models to ensure efficient resource usage and user satisfaction over what Custom Performance Metrics offers.

The Bottom Line

Custom Performance Metrics wins

Developers should learn and use Custom Performance Metrics when standard metrics don't capture the user experience or business goals of their application, such as in complex single-page applications, real-time systems, or e-commerce platforms where specific interactions directly impact revenue