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

Cases2 cases

1 to 2 of 2

  1. Symptoms

    On 14 March 2023 at about 18:00 UTC, communication errors rose on one CircleCI service, and pipelines for all customers began to start late until jobs did not run at all. Within an hour the errors had spread to many services and to every function of the application, including the CircleCI UI and API.

    Trigger

    At about 17:40 UTC on 14 March the infrastructure team resumed the upgrade of the main production Kubernetes cluster with a changed approach for some components, after a first attempt on 13 March had been rolled back. The ongoing upgrade left kubelet and kube-proxy at mismatched versions.

    Root cause
    Component
    Contributing factor
    Detection

    At 18:00 UTC engineers saw communication errors rise on one service, then job processing delays climbing and job queues backing up across several services. The kube-proxy "Sync failed" errors were found only in the analysis after the incident.

    Remediation
    • Restarted every node in the cluster so each node built a fresh iptables ruleset
    • Restarted a separate pool of dependencies so jobs using contexts or the machine executor ran again
    • Added capacity to work through the backlog of jobs
    • Restarted the RabbitMQ nodes to fix a few corrupted queues
    Action items
    • Improve the Kubernetes upgrade process to limit the risk of future upgrades
    • Add metrics and alerts for kube-proxy sync errors
    • Evaluate ways to make the RabbitMQ infrastructure more resilient
    Lessons

    No single trigger caused the incident. Because networking underlies everything in the cluster, Kubernetes upgrades carry inherent risk, and CircleCI's risk mitigation did not hold up when several events interacted.

  2. Symptoms

    At 14:10 an engineer deployed a change to a service that Monzo's current account needs to process payments, and every request to that service started to fail. Current account customers saw payment failures; the prepaid card was not affected at first because it does not use that service. The change was rolled back at 14:12, but the errors continued.

    Trigger

    At 14:10 an engineer deployed a change to a service needed to process current account payments. Two weeks earlier the etcd cluster had been upgraded and grown from three to nine nodes, and one day earlier another team had scaled a new service down to zero replicas while leaving its Kubernetes service in place.

    Root cause
    Component
    Contributing factor
    Detection

    Payment failures began right after the 14:10 deploy. The team rolled back at 14:12 and declared an outage internally at 14:16. At 15:13, when no service could serve requests, practically all automated alerts fired.

    Remediation
    • Rolled back the payments service change (the errors continued)
    • Activated internal backup processes so most customers could still use their card
    • Restarted all linkerd instances (this made the outage worse)
    • Restarted the three Kubernetes API server processes so replacement linkerd instances could start
    • Began deploying a newer linkerd version with the fix for empty services
    • Deleted the Kubernetes service that had no endpoints, which let linkerd load service discovery again
    Action items
    • Fix the bug in Kubernetes that can trigger timeouts after a cluster reconfiguration
    • Roll out a new version of linkerd that fixes the parsing error
    • Create better health checks, dashboards and alerts for the affected components so they give clearer signals about what is wrong and prevent human error
    • Improve procedures to communicate outages internally and externally as clearly and quickly as possible
    Lessons

    A large failure in a distributed system can be very hard to understand, and well-meant human action can compound it, as restarting every linkerd instance did here by exposing a second incompatibility. Because Monzo deploys often and its network changes constantly, the deployment and request-routing systems have to be trustworthy. Monzo committed to publishing a similar post-mortem for any incident of this severity.

Check your cluster for this

These 2 cases involve kubelet and CoreDNS. 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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