Incident Library
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Cases2 cases

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  1. Symptoms

    On March 16, 2022 at 14:09 UTC, write operations across GitHub stopped working, including git operations, webhooks, pull requests, API requests, issues, GitHub Packages, GitHub Codespaces, GitHub Actions and GitHub Pages. Under peak-hour load, the database proxy in front of the shared mysql1 MySQL database had reached its maximum number of connections.

    Trigger

    Increased load on mysql1 during peak hours, combined with poor query performance in specific circumstances, pushed the database proxy to its maximum number of connections.

    Root cause
    Component
    Contributing factor
    Remediation
    • Failed over mysql1 to a healthy replica on March 16
    • Reset the application connections to the new primary on March 17
    • Added an index that fixed the main query performance problem
    • Performed a primary failover on March 22
    • Performed a primary failover on March 23
    • Throttled webhook traffic to reduce load
    Action items
    • Keep throttling webhook traffic at peak load times
    • Audit the load patterns of mysql1 during peak hours and make performance fixes based on the audits
    • Move traffic to other databases to reduce load and speed up failover
    • Review change management, particularly monitoring and changes during high load in production
    • Shard the databases and scale up hardware
  2. Symptoms

    On Monday, September 10th, 2012, during a schema migration, the health checks on GitHub's MySQL master failed and Percona Replication Manager moved the 'active' role to another node of the new three-node cluster. That node's InnoDB buffer pool was cold and it performed poorly, its health checks failed in turn, and the role failed back to the original server. GitHub.com went down.

    Trigger

    A schema migration on Monday, September 10th put more load on the master database than earlier migrations had, and Percona Replication Manager's health checks on the master failed.

    Root cause
    Component
    Contributing factor
    Detection

    On the morning of September 11th, a developer told the operations team that the 'standby' node was returning incorrect query results.

    Remediation
    • Enabled Pacemaker's maintenance-mode so no health checks or automatic failovers ran, and let the buffer pool warm
    • Powered off the out-of-date node 'c' to end the partition
    • Stopped Pacemaker and Heartbeat on nodes 'a' and 'b' and started them on node 'a' only
    • Started MySQL on node 'a' in the active role
    • Removed the events leaked to wrong dashboards and audited the wrongly routed repositories
    • Contacted the owners of the exposed private repositories
    Action items
    • Change the Pacemaker configuration so the active database role fails over only when an operations engineer starts it
    • Find a way to warm the InnoDB buffer pool of slave databases so failovers do not hurt performance
    • Audit the Pacemaker and Heartbeat stack, focusing on the code path behind the segfault
    • Run hardware tests on the server where the segfault happened
    Lessons

    GitHub concluded that automated failover is not the right strategy for its primary production database: for every failover in this incident, any member of the operations team would have said it should not happen. Failovers that must happen, in an emergency or during maintenance, should not hurt performance.

Check your cluster for this

These 2 cases involve Database and Database proxy and connection pooler. kubegap audits a Kubernetes cluster for gaps like these, read-only, from Claude Code or Codex; its checks cite public reports like the ones in this library.

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