Incident Library
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Cases2 cases

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  1. Symptoms

    At 04:01 UTC on 15 December 2024, StatusCake monitoring sent SMS alerts that OpenStreetMap.org was unreachable. The website and the mapping API had gone completely offline at 03:53 UTC.

    Trigger

    HE.net's routing equipment in Amsterdam failed at 03:53 UTC on 15 December 2024.

    Root cause
    Component
    Contributing factor
    Detection

    StatusCake monitoring detected the outage at 04:01 UTC and sent SMS alerts, and the incident was reported to the operations team at once.

    Remediation
    • Activated a read-only backup instance of OpenStreetMap.org in Dublin
    • Brought a new Equinix Internet link into service in Amsterdam, bypassing HE.net and restoring full functionality
    • HE.net replaced its routing hardware and restored its service, and routing through HE.net resumed
    Action items
    • Move to a multi-ISP architecture so another provider can take over when one fails
    • Research backup ISPs for the Amsterdam servers, including BGP and keeping HE.net as a fallback
    • Add deeper route and latency monitoring and an automated escalation protocol
    • Hold failover drills for switching between ISPs and keep replication up to date
    • Agree SLAs with HE.net and Equinix Internet with defined escalation procedures and response times
    • Prepare the 4G out-of-band system as a manual fallback uplink that can sync Postgres replication data, and upgrade its hardware
    • Document outage communication procedures and delegate communication during outages
    • Investigate decoupling the OAuth service so authentication keeps working while the database is read-only
    Lessons

    Relying on HE.net alone left the Amsterdam servers with a single point of failure, so OpenStreetMap will keep multiple upstream providers. The 4G out-of-band link proved invaluable and should be able to carry data synchronisation. Resumed replication would have restored editing faster than the read-only backup. Frequent contact with the ISP gave no useful estimates, so the SLA needs to be better understood. Alerting on upstream connectivity needs refining, and a read-only OpenStreetMap.org also blocked logins to services that were not affected, because it could not save new tokens.

  2. Symptoms

    From around 19:00 UTC on 31 January 2017, load on GitLab.com's PostgreSQL database rose, which GitLab suspected was spam, and many users could not post comments on issues and merge requests. Around 23:00 UTC the replication of the PostgreSQL secondary fell behind and then failed, because WAL segments it still needed had already been removed from the primary.

    Trigger

    While trying to restore replication to the secondary, an engineer ran the removal of the PostgreSQL data directory on the primary, db1.cluster.gitlab.com, believing it was the secondary.

    Root cause
    Component
    Contributing factor
    Detection

    The engineer who ran the deletion on the primary noticed the mistake and stopped it a second or two later.

    Remediation
    • Raised max_wal_senders from 3 to 32 and lowered max_connections from 8000 to 2000 so PostgreSQL would restart
    • Stopped the deletion on the primary a second or two after noticing it
    • Restored the database from the LVM snapshot taken about 6 hours before the outage by copying the PostgreSQL data directory from staging
    • Restored the webhooks from a separate database built from the snapshot and imported them as a SQL dump
    • Incremented all database sequences by 100,000 so IDs used before the outage could not be reused
    • Re-enabled GitLab.com gradually
    • Rebuilt projects created after 17:20 UTC in basic form from their Git repositories on the NFS cluster
    Action items
    • Change the shell prompt (PS1) on all hosts to show more clearly which host and environment is in use
    • Monitor backups with Prometheus
    • Set PostgreSQL's max_connections to a sane value
    • Investigate point-in-time recovery and continuous archiving for PostgreSQL
    • Take LVM snapshots of the production databases every hour
    • Take Azure disk snapshots of the production databases
    • Move staging to the ARM environment
    • Recover the production replicas
    • Test recovery of PostgreSQL database backups automatically
    • Improve the PostgreSQL replication documentation and runbooks
    • Investigate pgbarman for PostgreSQL backups
    • Investigate WAL-E for database backup and realtime replication
    • Build a streaming database restore
    • Assign an owner for data durability
    • Set up multiple secondaries and balance load among them with pgpool-II
    • Provide a tool for developers to run and revert Rails migrations on staging
    • Build owned recovery procedures for the rest of the GitLab.com infrastructure, not only the database
    • Publish a backup monitoring dashboard and add more backup data to it
    • Improve the abuse reporting and response system so removal for spam does not hard delete
    • Redact engineers' names in future public incident documents
    Lessons

    GitLab split the incident into two problems: GitLab.com went down because the primary's data directory was removed by mistake during a manual, undocumented replication rebuild, and recovery took over 18 hours because the backups had failed silently, disk snapshots were not enabled and the only copy sat on slow staging disks. The backup procedure was never tested because no one owned it. GitLab chose to focus on fast, regularly practised recovery and on making it obvious which host an engineer is on, rather than on blocking commands, since a safer rm only protects against one of many ways to lose data.

Check your cluster for this

These 2 cases involve Database replication and Cloud block storage. 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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