Disruption with some GitHub services

Final update

From January 5, 2026, 00:00 UTC to January 10, 2026, 02:30 UTC, customers using the AI Controls public preview feature experienced delays in viewing Copilot agent session data. Newly created sessions took progressively longer to appear, initially hours, then eventually exceeding 24 hours. Since the page displays only the most recent 24 hours of activity, once processing delays exceeded this threshold, no recent data was visible. Session data remained available in audit logs throughout the incident. Inefficient database queries in the data processing pipeline caused significant processing latency, creating a multi-day backlog. As the backlog grew, the delay between when sessions occurred and when they appeared on the page increased, eventually exceeding the 24-hour display window. The issue was resolved on January 10, 2026, 02:30 UTC, after query optimizations and a database index were deployed. We are implementing enhanced monitoring and automated testing to detect inefficient queries before deployment to prevent recurrence.

1. Resolved · Jan 10, 02:33 UTC
   From January 5, 2026, 00:00 UTC to January 10, 2026, 02:30 UTC, customers using the AI Controls public preview feature experienced delays in viewing Copilot agent session data. Newly created sessions took progressively longer to appear, initially hours, then eventually exceeding 24 hours. Since the page displays only the most recent 24 hours of activity, once processing delays exceeded this threshold, no recent data was visible. Session data remained available in audit logs throughout the incident. Inefficient database queries in the data processing pipeline caused significant processing latency, creating a multi-day backlog. As the backlog grew, the delay between when sessions occurred and when they appeared on the page increased, eventually exceeding the 24-hour display window. The issue was resolved on January 10, 2026, 02:30 UTC, after query optimizations and a database index were deployed. We are implementing enhanced monitoring and automated testing to detect inefficient queries before deployment to prevent recurrence.