Performance Profiling Pattern
Identify and fix performance bottlenecks with React DevTools Profiler, server-side tracing, database query profiling, and Web Vitals monitoring.
What's Included#
- React Profiler component wrapper with render duration logging
- Custom performance hooks for tracking render counts, mount times, and update durations
- Server-side tracing with OpenTelemetry spans and attributes
- Prisma query logging middleware that flags slow database queries
- Web Vitals collection (CLS, FID, LCP, FCP, TTFB) with sendBeacon reporting
- Performance budget definition and CI enforcement
Usage#
Via CLI#
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Via AI Assistant#
Ask your AI assistant:
- "Use the performance profiling pattern from Bootspring"
- "Apply the Bootspring performance profiling pattern to my project"
Key Considerations#
- Always profile in production build mode since development mode adds significant overhead
- Test on real devices or device labs, not just developer machines
- Establish performance baselines before making changes so you can measure improvement
- Use sampling in production to avoid the overhead of logging every single request
- Set performance budgets and automate checks in CI to catch regressions early
Related Patterns#
- Monitoring - Application monitoring
- Optimization - Performance optimization
- Bundle Analysis - Analyze JS bundles
- Caching - Reduce server load