performance-optimization

Identify and resolve performance bottlenecks by measuring and profiling before optimizing. Baseline metrics with Lighthouse, pinpoint actual bottlenecks, apply targeted fixes, and re-measure to validate improvements.

Fix slow API calls and rendering issues by establishing baseline measurements first. Profile to locate the exact bottleneck, implement a targeted fix, and re-measure to confirm the performance improvement.

Set performance budgets by establishing baseline web vitals measurements like LCP and CLS. After optimizing, enforce these budgets and monitor impact to prevent regressions in frontend performance.

Premature optimization adds complexity because performance work without measurement is guessing. Profiling first prevents this by ensuring you optimize only what baseline metrics prove actually matters.

Real-user monitoring provides baseline measurements required before optimization. You need this data alongside Lighthouse profiling to identify actual bottlenecks and validate that applied fixes improve performance.