Optimize Largest Contentful Paint | Articles | web.dev
A step-by-step guide on how to break down LCP and identify key areas to improve.| web.dev
This post introduces the Interaction to Next Paint (INP) metric and explains how it works, how to measure it, and offers suggestions on how to improve it.| web.dev
Learn about the render-blocking-resources audit.| Chrome for Developers
Debug and optimize your web applications with Chrome DevTools.| Chrome for Developers
Introduction to the CrUX dataset.| Chrome for Developers
Learn how to set up Lighthouse to audit your web apps.| Chrome for Developers
This post introduces the First Contentful Paint (FCP) metric and explains how to measure it| web.dev
A step-by-step guide on how to break down LCP and identify key areas to improve.| web.dev
This post introduces the Largest Contentful Paint (LCP) metric and explains how to measure it| web.dev
This post introduces the Time to First Byte (TTFB) metric and explains how to measure it.| web.dev
This post introduces the Cumulative Layout Shift (CLS) metric and explains how to measure it.| web.dev
Cumulative Layout Shift (CLS) is a metric that quantifies how often users experience sudden shifts in page content. In this guide, we'll cover optimizing common causes of CLS such as images and iframes without dimensions or dynamic content.| web.dev
User-centric performance metrics are a critical tool in understanding and improving the experience of your site in a way that benefits real users.| web.dev
This post introduces the First Input Delay (FID) metric and explains how to measure it| web.dev
This post describes the Total Blocking Time (TBT) metric and explains how to measure it| web.dev
