Incident Library
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Cases2 cases

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  1. Symptoms

    Every service in the homelab Kubernetes cluster stopped answering: the V-Rising server, Grafana, Jellyfin and Linkding were all unreachable, and the Kubernetes API was down, so the cluster could not be managed at all. The outage was found by hand, about 3 hours after it began, when someone tried to use the services.

    Trigger

    A power outage forced the Kubernetes master node to reboot.

    Root cause
    Component
    Contributing factor
    Detection

    Manually, when someone tried to access the services; there were no automated alerts.

    Remediation
    • Connected a monitor to the master node and read the boot logs, which showed the kernel panic
    • Booted the previous kernel version, which brought the system back
    • Removed the broken Nvidia packages with sudo apt-get remove --purge '^nvidia-.*' and ran sudo dpkg --configure -a
    • Found remaining broken packages with dpkg -l | grep -v ^ii and removed them by hand
    • Ran sudo apt-get install -f and reinstalled linux-headers-$(uname -r)
    • Rebooted and confirmed the kernel panic was gone
    Action items
    • Make sure GPU driver installations fully succeed, or revert immediately when they fail
    • Move the cluster to a high-availability control plane
    • Expose the Kubernetes API through a load balancer in the HA setup
    • Set up a ticketing system to record incidents and their resolution
    • Write predefined troubleshooting workflows to shorten response time
    • Add infrastructure monitoring such as Prometheus and Grafana
    • Add blackbox HTTP and TCP checks from outside the cluster for critical services
    Lessons

    A driver installation that fails half-way can leave kernel packages broken without any visible effect until the next reboot, which may come weeks later and at the worst time. A failed DKMS build should be fixed or reverted at once. With a single master node and no monitoring from outside the cluster, one unbootable machine meant a total outage that nobody was told about; the fix itself was simple once the boot logs were seen.

  2. Symptoms

    Dex, the OIDC proxy that handled Kubernetes authentication, stored its data in the Kubernetes API (storage type kubernetes, inCluster: true) and had built up a huge number of AuthRequest objects. Listing all AuthRequests timed out, and without the list they could not be deleted.

    Trigger

    The dex namespace was deleted so that Kubernetes would clean up the accumulated AuthRequest objects itself.

    Root cause
    Component
    Contributing factor
    Detection

    The speaker says he had got hints of the problem earlier. While the masters were down, plenty of alerts arrived in Slack, but monitoring could not be reached because authentication and port-forwarding no longer worked.

    Remediation
    • removed the kubernetes finalizer from the dex namespace by calling the API directly (kill-kube-ns)
    • deployed Dex to a new namespace with sane defaults
    Lessons

    Dex with Kubernetes as its storage keeps every AuthRequest as an API object, and with a long TTL they pile up until the API cannot list them. Deleting a namespace that holds that many objects makes Kubernetes list them in a loop and can overload the masters. Monitoring that is reached through cluster authentication is lost when authentication is what broke.

Check your cluster for this

These 2 cases involve Kubernetes API server and etcd. 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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