performance-optimization

Profile and analyze frontend and backend performance to identify bottlenecks like slow queries, memory leaks, and N+1 patterns using synthetic and real user monitoring baselines.

Fix N+1 query patterns and unbounded data fetching by profiling your application to detect the anti-patterns, then applying optimization techniques to bound data retrieval and eliminate unnecessary database calls.

Measure Core Web Vitals and frontend load times by using synthetic and real user monitoring to establish performance baselines, identify regressions, and quantify improvements in user experience.

Yes, performance optimization applies to both frontend and backend applications, addressing frontend issues like Core Web Vitals and backend inefficiencies including slow database queries and memory leaks.

Performance regressions often occur due to introduced anti-patterns like unnecessary re-renders, unbounded data fetching, or slow queries, which you can detect by profiling resource usage and measuring against baselines.