ChipsThe story, in brief

How GitBook serves 30,000 sites with sub-second content updates

41% of traffic isn't human. GitBook's caching architecture now has to handle AI crawlers sweeping every page across 30,000 sites—and still guarantee sub-300ms updates.

Paper-cut illustration of an amber microchip with circuit paths extending into a row of data-center cabinets.
The infrastructure powering AI.AI illustration by KeyNews
The KeyNews take

Why it matters

As AI crawlers become the majority traffic source for developer documentation platforms, infrastructure design must shift from human-centric patterns to handle unpredictable, high-volume programmatic access while maintaining consistency and cost predictability at scale.

The key facts

8 to know
  1. 30,000 documentation sites hosted on Vercel

  2. 120 million monthly page views

  3. 40,000 cache invalidations processed daily, each resolved in under 300ms

  4. 41% of all traffic now comes from AI crawlers and automated systems

  5. AI-driven traffic surged 5x year-over-year in 2025

  6. Tag-based cache invalidation triggered by merge events across GitHub, GitLab, and GitBook

  7. Updated content becomes visible globally within 300 milliseconds after merge

  8. Infrastructure designed for ~100% cache hit targets to maintain latency and predictability

Go to the source

Vercel Blogvercel.com

Publisher excerpt: GitBook on Vercel 30,000 documentation sites hosted on a single Vercel deployment 120 million monthly page views served from the edge 40,000 cache invalidations processed daily, each resolved in under 300ms 41% of all traffic now comes from AI crawlers and automated systems GitBook hosts 30,000…
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