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GitHub · Developer toolsApr 1, 2026, 15:02 UTC 7 months ago

Disruption with GitHub's code search

MajorDeploymentUpdated 42d ago
Apr 1, 15:02 UTCApr 1, 23:45 UTC
Duration
8h 43m
Impact
Major
Root cause
Deployment
GitHub, 90 days
69 incidents
Affected
Not listed by the vendor.

Lesson: Teams should build security into the developer lifecycle and leverage open source methodologies to ship reliable software collaboratively.

What happened

On April 1st, 2026 between 14:40 and 17:00 UTC the GitHub code search service had an outage which resulted in users being unable to perform searches. The issue was initially caused by an upgrade to the code search Kafka cluster ZooKeeper instances which caused a loss of quorum. This resulted in application-level data inconsistencies which required the index to be reset to a point in time before the loss of quorum occurred. Meanwhile, an accidental deploy resulted in query services losing their shard-to-host mappings, which are typically propagated by Kafka. We remediated the problem by performing rolling restarts in the Kafka cluster, allowing quorum to be reestablished. From there we were able to reset our index to a point in time before the inconsistencies occurred. The team is working on ways to improve our time to respond and mitigate issues relating to Kafka in the future.

Timeline

  1. Resolved · Apr 1, 23:45 UTC
    On April 1st, 2026 between 14:40 and 17:00 UTC the GitHub code search service had an outage which resulted in users being unable to perform searches. The issue was initially caused by an upgrade to the code search Kafka cluster ZooKeeper instances which caused a loss of quorum. This resulted in application-level data inconsistencies which required the index to be reset to a point in time before the loss of quorum occurred. Meanwhile, an accidental deploy resulted in query services losing their shard-to-host mappings, which are typically propagated by Kafka. We remediated the problem by performing rolling restarts in the Kafka cluster, allowing quorum to be reestablished. From there we were able to reset our index to a point in time before the inconsistencies occurred. The team is working on ways to improve our time to respond and mitigate issues relating to Kafka in the future.

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Full history

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