Incident Library
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Cases2 cases

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  1. Symptoms

    On 22 June 2021, within minutes of an update released at 8:25 AM UTC, bunny.net's global fleet of close to 100 DNS servers kept crashing and restarting, more than 60% of traffic was lost, hundreds of Gbits of throughput disappeared, and over 750,000 websites were affected. After 10 minutes the team realised that the DNS servers were restarting and dying and that nothing could bring them back up in that state.

    Trigger

    At 8:25 AM UTC bunny.net released an update meant to reduce the download size of the SmartEdge optimization database, and it uploaded a corrupted file to Edge Storage.

    Root cause
    Component
    Contributing factor
    Detection

    About 10 minutes after the release, the team realised that the DNS servers were restarting and dying.

    Remediation
    • Deployed by hand an update that disabled the SmartEdge system on the DNS nodes
    • Routed all requests through Frankfurt instead of Madrid on a couple of DNS servers
    • Migrated the deployment systems and files to a third-party cloud storage service
    • Rewired the deployment system and DNS software to the new storage and deployed
    • Synced the databases and deployed the newest file sets through the third-party service
    Action items
    • Phase out the BinaryPack library as a hot-fix
    • Test third-party libraries more extensively
    • Migrate the internal APIs to an independent third-party service
    • Find how to stop non-critical software from becoming a single point of failure across clusters
    • Make the DNS system keep a local copy of all backup data with automatic failure detection
    Lessons

    bunny.net had built its systems to rely on each other, including the critical parts of its internal infrastructure, so one corrupted file brought down several layers of redundancy with no way back. A part of the infrastructure treated as non-critical turned out to be a single point of failure for several clusters at once, which canary deployments did not catch. Building infrastructure inside its own ecosystem lets one failure cascade through all of it. In the rush to fix the outage the team made typos and mistakes, and the final deployment came after it calmed down and double-checked everything.

  2. Symptoms

    Overnight into 26 March 2019 (PDT), every Prow test job that needed a GCP project from Boskos, the Kubernetes test-infra service that hands out GCP projects to test jobs, failed. The required job pull-kubernetes-e2e-gce failed on every run, so no pull request could be merged in kubernetes/kubernetes for just over nine hours, and other projects saw similar failures.

    Trigger

    At 23:04 PDT the node running the only Boskos pod was drained to be replaced with a 1.13 node during the upgrade of the Prow clusters from Kubernetes 1.11 to 1.13. The replacement pod started from the StatefulSet's current spec, which named a newer Boskos image containing the bug.

    Root cause
    Component
    Contributing factor
    Detection

    Users reported the failure on GitHub at 02:50 and on Slack at 05:16 and 06:27, and an engineer saw the Slack reports on waking at 07:16. The Boskos monitoring dashboard showed the failure, but no alert caught it.

    Remediation
    • Built and deployed a new Boskos image with the bug fixed
    • Cleaned up the GCP projects that had been left open
    Action items
    • Change the Boskos configuration so that deployments actually take effect (#11956)
    • Automate Boskos deploys (#11957)
    • Improve alerting on Boskos status (#11953)
    Lessons

    The write-up lists what went poorly: a ten-hour upgrade was started shortly after 17:00 when on-call coverage ended at 18:00; deployments were not checked to confirm that something had actually rolled out; the Boskos StatefulSet was not set up to perform updates, so changing its spec left the old pod running; the December change appears never to have been tested; and Boskos was deployed by hand, unlike most of Prow, which left more room for error. Once people were available, the problem was fixed quickly.

Check your cluster for this

These 2 cases involve CDN and edge network and CI system. 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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