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GitHub Pages Outage Causes 17.5M Failed Requests April 13

What happened

GitHub Pages suffered a significant service disruption on April 13, 2026, lasting 97 minutes from 18:53 to 20:30 UTC. The incident resulted in elevated error rates averaging 10.58% across all requests to the service, with peak failure rates reaching 12.77%. Approximately 17.5 million requests failed during the outage period. GitHub has marked the incident as resolved but has not yet published details about the root cause.

Business impact

Enterprise teams using GitHub Pages for staging environments, documentation sites, or UAT workflows experienced significant disruption during the incident window. Organizations relying on Pages-hosted content for stakeholder reviews or client demonstrations may have faced project delays. The 12.77% peak error rate could have triggered false positive alerts in monitoring systems, requiring manual verification of actual application issues versus infrastructure problems.

Background

GitHub Pages hosts millions of static websites and is widely adopted by enterprise development teams for staging environments, technical documentation, and prototype demonstrations. Many organizations integrate Pages into their CI/CD workflows for automated testing and stakeholder review processes. The service has generally maintained high availability, making this level of sustained error rate particularly notable for teams that depend on it for critical workflow steps.

What this means for your team

Teams should audit their dependency on GitHub Pages for critical UAT and review processes, ensuring backup hosting options exist for essential staging environments. Configure monitoring alerts to distinguish between application-level issues and GitHub Pages infrastructure problems by implementing health checks that bypass Pages when possible. Document alternative workflows for stakeholder reviews and testing procedures that can activate when Pages experiences service degradation.

What to watch

Monitor GitHub's incident postmortem publication for technical details about the root cause and prevention measures. Track any follow-up service advisories or maintenance windows that GitHub may schedule to address underlying infrastructure issues.

Sources

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