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

Cases6 cases

3 to 6 of 6

  1. Symptoms

    At 13:02 UTC on 2024-01-23 DigitalOcean posted that, as of 12:18 UTC, its engineers were investigating an issue with Kubernetes clusters in the FRA1 region and that users might see errors when communicating with their clusters. The control planes of the affected DOKS (DigitalOcean Kubernetes) clusters had become inaccessible.

    Trigger

    An incorrect configuration was applied to an internal infrastructure cluster in FRA1 at 12:21 UTC during a maintenance operation.

    Root cause
    Component
    Contributing factor
    Detection

    Engineers were investigating errors with Kubernetes clusters in FRA1 as of 12:18 UTC and identified the incorrect configuration as the cause at 12:36.

    Remediation
    • restored each affected cluster's etcd from its latest twice-daily backup
    • restored the stateless control plane components after etcd
    • patched the recovery mechanism after unexpected problems during recovery
    • found and fixed an additional small bug during recovery
    • contacted affected customers directly with further instructions, since some might need to reconfigure Kubernetes resources
    Action items
    • Prevent automatic deletion of infrastructure cluster resources under any circumstances in the production environment
    Lessons

    When managed control planes run as resources in another cluster, one configuration mistake in that cluster can delete hundreds of control planes at once through ordinary automation. The etcd backups limited the damage, but their twice-daily schedule set the worst case at 12 hours of lost control plane state, and the recovery tooling itself needed patching during the incident.

  2. Symptoms

    Aqua's research team Nautilus recorded the attack on one of its Kubernetes honeypots. What appeared in the cluster was a DaemonSet running the image kuberntesio/kube-controller:1.0.1 from Docker Hub on every node, using the nodes' CPU to mine Monero.

    Trigger

    An API server misconfigured to accept unauthenticated requests from anonymous users with privileges.

    Root cause
    Component
    Contributing factor
    Detection

    Aqua recorded the attacker's API requests on its honeypot; planted AWS access keys raised a beacon when the attacker tried to use them.

    Lessons

    Fixing an exposed API server is not enough once an attacker has been in: a ClusterRoleBinding to an attacker-created ServiceAccount keeps working after anonymous access is closed. Attackers name these objects and images after real Kubernetes components so they blend into the API audit logs and pass for legitimate deployments. Aqua recommends scanning clusters for vulnerabilities, exposed secrets and misconfigurations with a tool such as Trivy.

  3. Symptoms

    At 14:41 CET on 4 November 2020 users reported timeouts when deploying to Hellman, the production Kubernetes cluster. The timeouts were confirmed at 15:04.

    Trigger

    During an Alcide workshop that began at 13:00 CET, an Alcide admission controller was applied to the production cluster at 13:13 in the belief that it would not disrupt anything.

    Root cause
    Component
    Contributing factor
    Detection

    Users reported timeouts when deploying to the Hellman cluster at 14:41 CET; the timeouts were verified at 15:04.

    Remediation
    • toggled the Alcide admission controller to verify that it caused the timeouts
    • permanently deleted the Alcide admission controller
    Action items
    • Monitor Kubernetes deployments for timeouts
    • Monitor 5xx status codes from the Kubernetes API server
    Lessons

    New components are applied in sandbox clusters, not in production. The team needs enough Alcide knowledge to maintain the component until it is fully deprecated.

  4. Symptoms

    Jetstack was upgrading the master of a development cluster that many teams use to test their apps during the working day, a regional Google Kubernetes Engine (GKE) cluster in europe-west1. The upgrade ran through Jetstack's GKE Terraform pipeline and did not finish before the 20-minute Terraform timeout, while the GKE console still showed the cluster as upgrading.

    Trigger

    A planned master upgrade of the shared development cluster. The same upgrade had been done on another pre-production environment earlier that day, and no API downtime was expected.

    Root cause
    Component
    Contributing factor
    Detection

    The first sign was the master upgrade missing the 20-minute Terraform timeout; re-running the pipeline returned the kube-apiserver unhealthy error. The cause was identified with the help of Google Support.

    Remediation
    • Deleted the OPA ValidatingAdmissionWebhook resource during a window of API server access
    Action items
    • Limit the OPA webhook to the namespaces where the policy applies and development teams have access
    • Enable the webhook only for Ingress and Service resources, the only resources the policy validates
    • Add a liveness probe so OPA is restarted when it stops responding, and update the OPA documentation
    • Follow the open upstream Kubernetes issue about this behaviour
    Lessons

    With alerting on API server response times, the team might have seen CREATE and UPDATE requests slow down across the board as soon as the OPA-backed webhook was first deployed. Every workload needs probes: OPA looked so simple to deploy that the team skipped the Helm chart, which adds a livenessProbe for the admission controller containers among other adjustments to the tutorial configuration. Others had hit the same problem, and an upstream issue to improve it was still open.

Check your cluster for this

These 6 cases involve Kubernetes API server and Admission webhook. 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 cause1

Configuration change6 cases

  1. IL-0005 A new telemetry service overloaded the Kubernetes API servers of large clusters and broke DNS-based service discovery for all OpenAI services
    OpenAI2024
  2. IL-0118 A global change to Kubernetes namespace labels made the networking layer recompute metadata and overwhelmed the control planes of three of OpenAI's largest GPU clusters
    OpenAI2024
  3. IL-0152 An incorrect configuration applied during maintenance made an internal infrastructure cluster automatically delete the control planes of 200 DOKS clusters in FRA1
  4. IL-0068 Anonymous access to the Kubernetes API server used to plant a ClusterRoleBinding backdoor and a cryptominer DaemonSet
  5. IL-0108 An Alcide admission controller applied to the production cluster during a workshop made create and update requests on Deployments time out
    DFDS2020
  6. IL-0008 An unresponsive OPA validating webhook crash-looped the API server during a GKE master upgrade, and node auto-repair then recreated every node