performance-optimization

To identify performance bottlenecks, use synthetic and real-user monitoring methods to measure application response times and resource loading. This diagnostic analysis highlights specific frontend and backend data handling issues affecting user experience.

Measuring and improving Core Web Vitals requires evidence-based optimization using performance profiling tools. You analyze real-user monitoring data to pinpoint loading and response time issues, then apply strategies like caching and pagination to fix them.

Start profiling application performance by running a measurement command to analyze synthetic and real-user monitoring data. This initial performance analysis identifies common resource loading and data handling bottlenecks causing slow response times.

Lighthouse works for diagnosing high-traffic application performance issues by providing synthetic monitoring metrics. It helps identify frontend bottlenecks and measures Core Web Vitals to guide optimization strategies like caching and pagination.

You can use web-vitals to measure real-user monitoring data and identify resource loading anti-patterns. Once bottlenecks are found, you apply optimization best practices like caching and pagination to improve response times.