performance-optimization

To profile application performance, you must gather real baseline data using synthetic and real-user monitoring to identify bottlenecks across frontend and backend systems before applying optimizations.

The best way to improve Core Web Vitals and reduce LCP is to measure baseline frontend performance, implement targeted bottleneck fixes, and re-measure to validate the improvements.

To optimize backend API latency and database query efficiency, profile your user journeys to identify slow queries, implement caching or query improvements, and validate latency reductions with measured data.

Yes, you can enforce performance budgets in CI by establishing baseline metrics and setting up automated guards that validate measured changes, preventing performance regressions from reaching production.

Yes, optimizing frontend performance requires real-user monitoring data alongside synthetic tests to accurately identify bottlenecks and ensure improvements reflect actual user journeys.

Performance optimization causes regression when changes are made without baseline data or measurable validation, which is why enforcing performance budgets and re-measuring after fixes is critical.