Incident Library
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  • Root cause
  • Component
  • Symptom
  • Contributing factor
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Cases2 cases

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  1. Symptoms

    At 15:26 UTC on 8 May 2025, the Bitbucket Cloud website and API became slow because the primary database was overloaded. Atlassian's real-time monitoring detected the problem at once.

    Trigger

    A high-scale backfill job run by an internal Atlassian service sent a large volume of calls to certain Bitbucket API endpoints, which ran expensive queries against the primary database.

    Root cause
    Component
    Contributing factor
    Detection

    Atlassian's real-time monitoring detected the incident as soon as it started.

    Remediation
    • Stopped the high-intensity backfill job
    • Primary database failed over automatically, and Bitbucket services recovered within 15 minutes
    • Applied several measures after the failover to shed database load
    Action items
    • Route more reads to read replicas instead of the write primary database
    • Adjust rate limits for internal API endpoints that run resource-intensive database operations
    • Optimise database queries so they run more efficiently
    • Tune the retry policies of downstream services
  2. Symptoms

    From 02:36 UTC on 15 May 2023, Atlassian products with services hosted in the us-west-1 region could not store or retrieve data assets such as media, attachments and build artifacts. Automated monitoring detected it within three minutes, and the status page reported intermittent errors.

    Trigger

    An internal service was migrated to a new network segment as part of an initiative to harden the partitions between network segments, and the old network stack was then removed.

    Root cause
    Component
    Contributing factor
    Detection

    Automated monitoring detected the incident within three minutes.

    Remediation
    • Rolled back the network migration change, returning Atlassian systems to a known good state
    Action items
    • Review the systems that decommission service stacks and check that customer traffic is no longer served before a stack is decommissioned
    • Add steps to the service network migration process that identify associated DNS records needing attention
    Lessons

    Atlassian said the migration used blue/green deployment to limit this kind of risk, but adequate verification was not run before the old stack was decommissioned, and moving services between network segments is rare and hard to replicate in test.

Check your cluster for this

These 2 cases involve Database and Authoritative DNS servers and records. 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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