Aiming for the Stars
summary
Claims that Chrome and ecosystem work save 30,000 years of end user time last year and that Core Web Vitals becomes a usable North Star. Demonstrations use Chrome DevTools, Perfetto, Lighthouse, CrUX histograms, RUM, element/container/event timing and the long animation frames API to find bottlenecks and attribute slow frames. Describes running every change as an experiment, adding tracing and AB test hooks in Chrome, and reports measurable site pass‑rate gains and some third parties actually fixing problems.
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chapters (20)
- 0:00Introduction
- 1:07Web performance achievements
- 3:40Performance North Star
- 6:08Metrics and user experience
- 8:18Measuring critical interactions
- 10:26Real user monitoring
- 12:13Metrics and business value
- 12:57Performance percentiles
- 15:47Histograms for performance data
- 18:16Performance bottlenecks
- 22:04Browser performance tools
- 27:20Chrome DevTools navigation
- 29:26Fixing bottlenecks
- 32:16Perfetto deep analysis
- 32:57Experimentation importance
- 35:45A/B testing validation
- 37:52A/B testing challenges
- 39:35Performance community
- 41:40Browser development involvement
- 42:42Third-party performance issues
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