performance-analysis

To identify performance bottlenecks in a web app, you profile CPU usage, memory allocation, event loop lag, and database queries. A structured workflow measures baseline metrics first, hypothesizes changes, and verifies optimizations through re-measurement.

Detecting memory leaks in Node.js applications requires heap analysis across runtimes to locate retained objects. By profiling memory usage during development and production, you isolate leak sources and guide targeted optimization fixes.

Yes, you can analyze database query performance for slow APIs using database query analysis and optimization guidance. This process identifies slow queries within your backend context and provides actionable profiling insights to improve throughput and responsiveness.

Event loop lag measurement applies to frontend performance auditing and CLI responsiveness, alongside backend services. It enforces a measure-first discipline across development, staging, and production environments to guide measurement-driven optimization.

Start an end-to-end performance profiling workflow by running an initial baseline audit. Measure current metrics, profile the results, hypothesize improvements, make changes, re-measure, and repeat this loop to achieve performance budgeting goals.