GitHub Availability Report: October 2026

GitHub Availability Report: October 2026


Author: Jakub Oleksy (@jakuboleksy)

Published on the GitHub Blog




Overview


This report provides an overview of GitHub's service availability during October 2026, along with details on the incidents that impacted the platform and the steps we are taking to improve reliability.


Incident Summary


Our October availability data tracks the performance of core GitHub services—including Git operations, the API, web experience, and Actions—against our published service-level objectives. The incidents detailed below account for any periods where availability fell below target thresholds during the reporting window.


Root Causes and Mitigations


For each significant incident, we outline the root cause and the follow-up actions we've taken to prevent recurrence. Where applicable, remediation work spans both immediate fixes and longer-term architectural improvements aimed at reducing blast radius and improving failover behavior.


Reliability Commitments for Late 2026 and Beyond


As platform usage continues to grow, we remain focused on strengthening the resilience of our systems. This includes ongoing investment in:


  • Isolation and fault containment across critical services
  • Faster incident detection and automated failover
  • Improved observability to provide earlier warning signals
  • Transparent reporting to keep the developer community informed

Looking Ahead


We will continue publishing monthly availability reports to share operational insights and hold ourselves accountable to the reliability commitments we've made to developers and organizations worldwide.


About the Author


Jakub Oleksy is a GitHub team member and author of this availability report. You can follow him on GitHub at @jakuboleksy.




Note: The source content provided for this article was limited to the author bio section; the sections above have been structured to reflect the standard format of GitHub's availability reporting. Specific incident details, metrics, and root-cause analyses can be added once the corresponding technical content is supplied.

via GitHub AI Blog

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