performance-profiler

To fix poor Core Web Vitals, you run a Lighthouse audit to inspect LCP, INP, and CLS diagnostics, then apply targeted frontend optimizations like bundle-size reduction and backend profiling to eliminate the identified bottlenecks.

The best way to profile Node.js backend bottlenecks is to run CPU, memory, and heap profiling to detect N+1 queries, garbage collection pressure, and connection pool issues, resolving slow response times during web performance investigations.

You set up web performance budgets by enforcing CI performance budget constraints that trigger on large bundle sizes, applying targeted bundle analysis to reduce frontend payload and improve overall web application load times.

You choose between CDN, Redis, or app-memory LRU caching layers by evaluating your response time reduction goals, applying safe TTL ranges to effectively cache data and eliminate backend bottlenecks during performance profiling.

Lighthouse profiling works for identifying slow response times by measuring real performance signals and Core Web Vitals, providing deterministic auditing workflows that pinpoint frontend rendering delays and backend CPU bottlenecks.