web-performance-optimization

To fix slow LCP and high FID during a performance audit, identify root causes like render-blocking resources and main-thread blocking, then implement targeted fixes such as bundle optimization and lazy loading to improve Core Web Vitals.

High CLS from layout shifts is optimized by identifying root causes during a performance audit and applying rendering path improvements. Verification is done via before/after Lighthouse audits and real-user monitoring.

The best way to optimize oversized assets and images for Core Web Vitals is applying modern image formats and lazy loading, then verifying improvements through before/after Lighthouse audits and waterfall analysis.

Reduce large JavaScript bundles and render-blocking resources by applying code splitting and lazy loading. Establish a baseline using bundle size checks, then verify improvements through before/after Lighthouse audits.

Yes, you can establish performance baselines using Lighthouse audits, Core Web Vitals metrics, bundle size checks, and waterfall analysis to pinpoint bottlenecks and measure before/after improvements accurately.

Real-user monitoring is an optional step to verify caching strategy updates and performance improvements. You can verify results through before/after Lighthouse audits, with RUM providing ongoing validation.