performance-optimization

To fix slow Core Web Vitals and high response times, profile your application to establish a baseline, identify the top bottleneck, implement a targeted fix, and re-measure to verify the improvement before moving to the next issue.

The best way to identify performance bottlenecks is through systematic profiling that gathers real measurement data, ensuring you target the actual root cause rather than guessing at frontend or backend issues.

You can prevent performance regressions in CI by defining strict performance budgets and integrating automated verification checks into your pipeline to catch metric drops before deployment.

You need a structured performance optimization workflow when your application's Core Web Vitals or response times fall below target thresholds and you require measurable improvements with verification steps to ensure stability.

Yes, this performance optimization approach works for both frontend and backend systems by profiling real data across the entire stack to identify and verify bottlenecks regardless of where they originate.