Incident Library
  • Root cause
  • Component
  • Symptom
  • Contributing factor
  • Case

Cases2 cases

1 to 2 of 2

  1. Symptoms

    From 04:00 US/Pacific on 8 October 2026, Google Cloud Storage upload and write operations in the us-central1 region became slow and failed. Clients mostly saw HTTP 503 UNAVAILABLE errors on WriteObject operations and client-side timeouts.

    Trigger

    A configuration update to the Cloud Storage load balancing layer turned on a traffic sorting optimization that was meant to deal with local capacity constraints. The recurrence on 9 October came from an incomplete rollback of an upload planner feature.

    Root cause
    Component
    Contributing factor
    Detection

    Google engineering teams monitoring system telemetry detected the problem at 04:50 US/Pacific on 8 October, 50 minutes after it began.

    Remediation
    • Drained traffic from the most overloaded storage backend nodes
    • Deployed a configuration change that disabled the traffic sorting optimization
    • Rolled back a recent update to the metadata database service
    • Redirected traffic and drained affected storage components again during the recurrence
    • Fully reverted the load balancing configuration change, restoring capacity-aware routing
    • Returned the drained nodes to service once resource use was back to normal
    Action items
    • Validate load balancing logic changes in smaller regions before rolling them out to large, highly utilized regions
    • Make the storage load balancing enforce capacity constraints so traffic cannot bypass pre-spilling safeguards
    • Speed up internal data movement within highly utilized storage cells to absorb temporary load spikes
  2. Symptoms

    About half an hour after the Cookie Run: Kingdom guild update maintenance ended at 11:00 on 6 March 2021, one CockroachDB node was using all 24 cores of its 24-core machine and server metrics began to show a significant number of errors. Soon two more nodes showed abnormal CPU use.

    Trigger

    During the guild update maintenance, new guild tables were added and pre-split across the cluster, and a new database node was added to replace one removed a few days earlier for a physical hardware issue. When the game reopened, all players at once wrote to existing tables whose primary-key prefixes were new or had changed in the update.

    Root cause
    Component
    Contributing factor
    Detection

    Monitoring after the maintenance showed one node's CPU at the ceiling together with errors in server metrics. Later a Slack alert reported a node failing its Host Status Check, and the abnormal-log channel reported filemap_fdatawait_range_keep_errors.

    Remediation
    • Blocked new logins without kicking players already in the game, using the maintenance switch as a makeshift access queue
    • Put the game into full emergency maintenance at 14:50 when several nodes failed health checks
    • Backed up the game data table by table after the full database backup stalled
    • Paused writing play records to reduce load on the database before reopening
    • Split the problem tables from about 18:30
    • Decommissioned the node that failed its Host Status Check
    • Reopened the game and used the login-block queue again when a node reached 100% CPU
    • Terminated the node that kept returning to 100% CPU
    Lessons

    In a single-server relational database a change to the primary-key prefix is usually harmless, but in CockroachDB's distributed design such a change on a production cluster needs great care. The team had studied this in CockroachDB documentation, but living through it taught far more than reading about it.

Check your cluster for this

These 2 cases involve Database and Object 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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