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

Cases2 cases

1 to 2 of 2

  1. Symptoms

    On Saturday 8 July 2018 at about 18:30 CEST, the launch success rate of mybinder.org dropped to zero and stayed there. Suspicious behaviour was first reported on Gitter at 22:48, more than four hours later.

    Root cause
    Component
    Contributing factor
    Detection

    Suspicious behaviour was reported on Gitter at 22:48 CEST, more than four hours after launch success dropped to zero; no downtime notifications were set up.

    Remediation
    • Deleted user pods older than four hours with the delete-pods.py script
    • Culled pods of the most-used images, such as ipython-in-depth, more aggressively
    • Restarted the Hub pod after about 600 pods were culled, which brought launches back to normal
    • Cordoned some of the extra nodes so the autoscaler could reclaim them
    • Ran manual max-age culling the next morning, letting the cluster scale back to 3 nodes
    Action items
    • Set up notifications of downtime
    • Automate cluster scale-down
    • Document the downtime recovery steps so every team member knows them
    • Fix KubeSpawner's failure to delete pods when the pod reflector fails
    • Make KubeSpawner more robust to pod reflector failure
    • Refactor the event reflector into a single reflector instead of one per pod
    • Detect a likely unhealthy Hub state and restart the Hub without manual intervention
    Lessons

    The delete-pods.py script was useful for bulk-deleting old pods, and once the problem was noticed the cluster was healthy within a few minutes. The outage lasted five hours before anyone noticed because no downtime notifications existed, and scaling the cluster back down still took several manual steps of cordoning and draining nodes.

  2. Symptoms

    On 30 November 2017 at 16:59 PST, mybinder.org operators noticed that Grafana looked wrong and that launching a new server failed with an error that a temporary user could not be created. Pods that were already running kept running, but no new ones were being created.

    Trigger

    A build container, which ran without a memory limit, most likely used up all the memory on the node that ran the proxy pod.

    Root cause
    Component
    Contributing factor
    Detection

    An operator happened to look at Grafana at 16:59 PST, saw that it looked wrong, and confirmed the error by launching a new server.

    Remediation
    • Cordoned the node that had run out of memory
    • Uncordoned the node once the proxy was working
    Action items
    • Limit the memory available to build pods
    • Change the JupyterHub configuration so user pods are not cleaned up when the jupyterhub pod restarts
    • Nominate one person to drive the response, possibly in a shared terminal, so only one person changes the cluster
    • Alert when something is wrong with the cluster, for example by counting 4xx responses on the jupyterhub pod
Check your cluster for this

These 2 cases involve JupyterHub and Ingress controller. 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