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Cloudflare Releases BEACON Dataset for Real-User Web Performance Monitoring

🔄 Updated 3d ago
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Key points

  • Cloudflare released BEACON, a web performance dataset.
  • Contains billions of real-user measurements from 10,000 websites.
  • Updated daily in Google BigQuery, covers major browser engines.
  • Reports Core Web Vitals as full histograms for detailed analysis.

Cloudflare Launches BEACON Dataset

Cloudflare has made its BEACON (Browser Experience Across Cloudflare's Observed Network) dataset publicly available. This dataset compiles anonymized real-world performance measurements collected from billions of user interactions across 10,000 of the largest websites utilizing Cloudflare's network. The data is updated daily and accessible via Google BigQuery.

Detailed Performance Insights

BEACON provides detailed insights into how real users experience the web, covering various browser engines, devices, and geographical locations. It reports on key web performance metrics, including Largest Contentful Paint (LCP), Cumulative Layout Shift (CLS), and Interaction to Next Paint (INP). Unlike single averages, BEACON presents these metrics as full histograms, allowing researchers to analyze any percentile and understand performance across the entire user spectrum.

Expanding Public Web Performance Data

The release of BEACON significantly expands the scope of publicly available Real User Monitoring (RUM) data. It builds upon and expands the community-led RUM Archive project, increasing its footprint by 100-fold. This initiative aims to bridge the gap between developer testing environments and actual user experiences, providing objective data for technology choices and priorities.

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Reporting from

Cloudflare has released BEACON, an anonymized dataset containing billions of real-world web performance measurements from 10,000 major websites. This dataset, updated daily in Google BigQuery, provides researchers with detailed insights into web performance across various browsers, devices, and countries, expanding the RUM Archive project.