performance-profiling

Run a Lighthouse audit by executing the lighthouse_audit.py script on your target URL to obtain a performance report. This requires having the Lighthouse CLI installed globally and Python available in your environment to process the automated audit.

A Lighthouse audit evaluates web performance metrics across performance, accessibility, best-practices, and SEO. It assesses page load, interactivity, and stability to help you identify bottlenecks and optimize web vitals during development or production.

Yes, web performance profiling is applicable during CI/CD. You can execute automated Lighthouse audits against target URLs to continuously assess page load, interactivity, and stability, ensuring performance regressions are caught during deployment.

Yes, you need Python and the globally installed Lighthouse CLI (npm install -g lighthouse) to execute automated audits. These dependencies are required to run the scripts that measure and analyze web performance metrics.

The best way to fix web performance bottlenecks is following a profiling workflow: baseline, identify, fix, and validate. This approach surfaces actionable metrics and applies optimization patterns like compression, lazy loading, and code splitting for faster pages.

Yes, web performance profiling supports runtime profiling and bundle analysis. These features uncover rendering bottlenecks and code-splitting opportunities, providing actionable insights to drive improvements in page load and interactivity.