graph-performance

A web performance audit evaluates applications using Lighthouse, Web Vitals, and N+1 query detection. It analyzes build times, bundle sizes, runtime profiling, database queries, memory usage, and frontend metrics to identify bottlenecks and prevent regressions before deployment.

N+1 query detection identifies inefficient database query patterns during a performance audit. It flags scenarios where applications execute individual queries for related data instead of batched queries, helping eliminate runtime bottlenecks and excessive resource usage in Node.js backends.

Yes, runtime profiling requires a Node.js backend and frontend analysis requires React. The performance audit uses these environments to monitor memory usage, inspect web application bundles, and measure frontend metrics accurately for identifying memory leaks and optimization opportunities.

Yes, the performance audit includes memory profiling to monitor and prevent memory leaks and excessive resource usage. It evaluates runtime memory patterns within your Node.js backend to ensure optimal web performance baselines are maintained before deploying new features.

Run a comprehensive performance audit before deployment to ensure performance baselines are met and detect regressions. The audit benchmarks bundle sizes, build times, and Web Vitals metrics, comparing results against previous standards to identify any introduced bottlenecks.

Yes, the performance audit combines Lighthouse frontend analysis with Node.js backend runtime profiling. This integration evaluates both frontend metrics and backend database queries simultaneously, providing a complete view of web application performance and resource utilization.