Incident Library
Applied filters ComponentAuthoritative DNS servers and recordsSymptomLoad imbalanceClear allEvery case under the filters, with no sentence; newest first.
Suggested filters Search, and the values found in your words appear here.

Graph

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

Cases2 cases

1 to 2 of 2

  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

    Between 3 and 7 June 2017, Heroku customers in both the EU and US regions had periods of high latency: some requests failed and others took an excessive time to pass through the Heroku Routing Layer. All customers in the EU and US were affected at various times.

    Root cause
    Component
    Contributing factor
    Remediation
    • Found the sources of high-volume traffic and worked with those apps' owners to distribute their requests better
    • Replaced the legacy DNS records with new, corrected DNS records
    Action items
    • Make monitoring alert engineers sooner to unevenly distributed traffic
    • Investigate how to configure DNS and load balancers to reduce the effect of high-volume and bursting traffic
    • Work with caching Add-on partners on the DNS configuration issues that affect them, to achieve proper load balancing
Check your cluster for this

These 2 cases involve Authoritative DNS servers and records and CDN and edge network. 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.

By root cause2