Incident Library
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  1. Symptoms

    At 03:23 UTC on 27 March 2022, BattleMetrics' primary PostgreSQL database, which holds all account, server and player information, went into read-only mode. Users first saw the website fail to load, and soon RCON updates and queries began to fail as well.

    Trigger

    A corruption of the index on the player identifiers table, which BattleMetrics' logs place at about 26 February 2022, made every vacuum job fail, so transaction IDs kept climbing until Postgres stopped accepting writes on 27 March.

    Root cause
    Component
    Contributing factor
    Detection

    Users failed to load the website and reported it as their API keys expired, then RCON updates and queries began to fail, and the team found that the main database no longer accepted writes.

    Remediation
    • Shut the database down and dropped the corrupted player identifiers index in single-user mode
    • Ran the vacuum again, which succeeded and let the database accept writes
    • Rebuilt the player identifier index, which took about two hours
    • Shut down the query workers and gave RCON updates priority
    • Pointed services at the new Postgres primary
    • Bootstrapped new replicas one after another to take load off the primary
    • Restarted queries with throttling, prioritised by server population and rank, after RCON updates had caught up
    Action items
    • Monitor errors in the Postgres logs
    • Monitor and alert on transaction IDs
    • Set up a logical replica in addition to physical replication
    • Build a faster network to speed up recovery from failure
    Lessons

    BattleMetrics names skipping health checks on transaction ID size as its critical mistake: the index corruption silently broke vacuum for a month, and without monitoring of transaction IDs nobody saw the database approach wraparound. Because the corruption had been replicated to the replicas, failing over did not help, and the backup servers and downloadable backups carried the same corruption. The team also found that, contrary to the error message, a full vacuum on a server in wraparound protection does not need single-user mode, and chose to run a slow, delayed service over no service while replicas were rebuilt.

  2. Symptoms

    From 05:35 UTC on 4 February 2019 Mandrill, Mailchimp's transactional email service, sent only 80% of queued emails, because one of its PostgreSQL shards, shard4, stopped accepting writes. When Mandrill engineers opened an investigation at 11:58 UTC, they saw a sharply elevated load on shard4.

    Trigger

    At 05:35 UTC on 4 February the transaction ID counter of shard4, the busiest Mandrill PostgreSQL shard, reached its upper limit and PostgreSQL shut the database down to protect against wraparound.

    Root cause
    Component
    Contributing factor
    Detection

    The first exception was logged overnight but was buried by unrelated exceptions in the centralized error reporting. Mandrill engineers opened an investigation at 11:58 UTC and, while looking for the source of the rising load on shard4, found the wraparound at 12:56 UTC.

    Remediation
    • Put shard4 into standalone mode and started VACUUM at 14:16 UTC on 4 February
    • Stopped and restarted the vacuum with settings that made it run faster
    • Started a dump and restore of the database without the Search and Url tables while the vacuum ran
    • Replaced storage volumes on the Mandrill app servers whose disks were filling with queued jobs and logs
    • Moved the job-queue tables from shard4 to other live shards
    • Truncated the Search and Url tables on the locked database at 19:12 UTC on 5 February, after which the vacuum finished in about an hour
    • Started sending from the backlog at 21:36 UTC
    • Added alerting for XID wraparound by 22:40 UTC
    Lessons

    Mailchimp named the factors that slowed its response: knowledge of and access to Mandrill systems and monitoring rested with a few people, Mandrill logging needed a locally writable disk, logs of malformed API requests were hard to separate from real application errors, job health was hard to see, and the disk space problem made partial deployments for triage risky. What helped was trained incident commanders with clear roles (incident commanders in 3-hour rotations, scribes, technical liaisons and points of contact between teams), periodic summaries with a list of recent and open decisions, and taking time in a video meeting to reassess, which led to the truncation. Running in the cloud let the team expand storage quickly, and the team was lucky that the largest table holding up the vacuum held data it could delete.

Check your cluster for this

These 2 cases involve PostgreSQL vacuum and Database. 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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