Incident History

This incident has been resolved. Thank you for your patience and understanding as we addressed this issue. A detailed root cause analysis will be shared as soon as it is available.

This incident has been resolved. Thank you for your patience and understanding as we addressed this issue. A detailed root cause analysis will be shared as soon as it is available.

This incident has been resolved. Thank you for your patience and understanding as we addressed this issue. A detailed root cause analysis will be shared as soon as it is available.

This incident has been resolved. Thank you for your patience and understanding as we addressed this issue. A detailed root cause analysis will be shared as soon as it is available.

Between 08:37 and 09:41 UTC on August 31, 2026, GitHub Copilot experienced degradation affecting several GPT models, including gpt-5.2, gpt-5.3-codex, gpt-5.4, gpt-5.4-mini, gpt-5.4-nano, and the gpt-5.6 family (Luna, Sol, and Terra). Users encountered elevated error rates and interrupted streaming responses. Other models were not affected.The degradation was caused by an issue with an upstream model provider. GitHub engineers detected the issue through automated monitoring, displayed in-product warnings for the affected models, and coordinated with the provider. Service returned to normal after the provider implemented a mitigation.

On August 27th, 2026, between approximately 09:20 and 12:14 UTC, the Copilot service experienced a degradation of the Kimi K3 model due to an issue with our upstream provider. Users encountered elevated error rates when using Kimi K3. No other models were impacted. The issue was resolved by a mitigation put in place by our provider. GitHub is working with our provider to further improve the resiliency of the service to prevent similar incidents in the future.

On August 26, 2026, between 20:40 UTC and 00:51 UTC on August 27, GitHub Billing experienced degraded performance affecting billing budget pages and GitHub Copilot CLI sessions. Affected customers encountered failed budget page loads or failures when starting or continuing CLI sessions. We confirmed this impact for a small number of customers (<1%). This was caused by a concentrated workload that created processing delays in our data storage layer. Automated retries increased the load and prolonged the degradation. We mitigated the incident by rebalancing traffic within our infrastructure. We are improving workload isolation, retry behavior, and detection of concentrated load to reduce the likelihood of recurrence and shorten our time to detect and mitigate similar incidents.

On August 26, 2026, from 21:55 UTC to 23:58 UTC, 2.6% of workflow runs triggered by pull request events were delayed, with the impact rising as high as 25% at its peak. Some users also experienced delays in pull request merge-commit generation, mergeability information, and merge-button availability. Actions and Pull Requests fully recovered by 23:58 UTC; the incident was resolved at 00:26 UTC after normal operation was confirmed. Background jobs that process pull request updates and generate merge commits were impacted by timeouts reaching a single partition of git data. This resulted in a backlog in pull request merge-commit processing, delaying pull request-triggered GitHub Actions workflows and some mergeability information. We reduced workload, shifted traffic away from affected infrastructure, and restored the affected service component to a healthy state. Together, these actions helped drain the backlog and restore normal operations. We are working to improve resource saturation detection and to eliminate customer impact in this scenario by isolating impact, placing better bounds on retries, and strengthening backpressure to make our systems more resilient under load.

On August 26, 2026 from 15:02 to 15:45 UTC, Actions jobs failed to start. The following 2 hours until 17:40 UTC, Actions runs were delayed starting by more than 5 minutes as the system caught up with delayed load. This impact was triggered by saturation of writes to the database primary used by the service processing triggers for Actions workflows. The primary was failed over, but the system did not fully recover. The saturation was caused by growing daily peak load combined with an upstream issue in GitHub’s event processing infrastructure, https://www.githubstatus.com/incidents/hcbtzksccj2f, which caused burst amplification of already-high load. Downstream throttles that were later used to recover were set ~10% too high to protect the system. At 15:45 UTC, throttling combined with service restarts recovered the service’s core health. Those throttles were gradually raised between 15:54 and 17:22 to restore full webhook processing for Actions runs. This ramp was deliberately slow to ensure we did not re-overwhelm the system given our original throttling was now known to be incorrectly set. The queue of webhook events was fully burned down at 17:40 UTC. 3.7% of larger-runner jobs, along with some scale-set self-hosted jobs, remained stuck in queued or “waiting for runner” state. We deployed a change to force-revoke jobs in this state, and they transitioned to failed at 18:40 UTC, about 50 minutes after incident mitigation. Releasing these jobs also freed hosted concurrency for larger-runner jobs. Customers using concurrency groups saw longer impact due to a separate issue where runners assigned to a subset of jobs disconnected before the force-revoke mitigation was deployed, which prevented runner acquisition from progressing and left jobs in a waiting-for-runner state. This was resolved at 01:00 UTC on August 27. Some runs triggered during the 15:02-15:45 UTC incident window encountered a bug that left them showing as queued even after service recovery. In the backend, these runs had already failed and will automatically move to canceled state 24 hours after creation. As follow-up, we are fixing the root cause of this queued state and improving our ability to bulk-cancel affected runs. Several changes to improve the general scalability of this part of Actions were already complete and deploying to production. Rollout of those changes will be complete within the next 24 hours. Further work to improve scale, resiliency, and more graceful degradation of Actions workflows are in flight. We are also taking a repair item to accelerate clearing of stuck queued or waiting jobs in similar future cases.

Please refer to the combined summary in this related incident: https://www.githubstatus.com/incidents/y1t7p9fzrlj2