Incident Library
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  • Root cause
  • Component
  • Symptom
  • Contributing factor
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Cases2 cases

1 to 2 of 2

  1. Symptoms

    The hub pod of the prod JupyterHub on the leap cluster (leap.2i2c.org) restarted unexpectedly during a large node scale-up, and a user opened a support ticket. The ingress-nginx and proxy pods kept running.

    Trigger

    A user's dask-gateway workload added about 100 dask-worker nodes within a minute, and Prometheus started scraping the metrics exporters on about 200 nodes.

    Root cause
    Component
    Contributing factor
    Detection

    A user support ticket (2i2c Freshdesk ticket 414) about the leap hub; the engineer then looked at Grafana and the cluster's nodes and events.

    Action items
    • Configure CPU and memory requests for the hub and proxy pods (#2127; at least 100m CPU was proposed)
    • Make the Grafana OOMKiller dashboard work (#2213)
    • Move LEAP cloud infrastructure to shared nodes (#2209)
    • Update resource requests and limits, mainly for ingress-nginx and Prometheus (#2324)
    • Decide whether Prometheus should scrape dask worker pods (#2366)
    Lessons

    Prometheus load grows with the number of nodes, so a burst of autoscaled nodes can push a nearly full core node over the edge and evict the pods that matter most. Core pods that request 10m of CPU get a tenth of the CPU share of busy neighbours that request 100m. Kubernetes events expire after an hour, so evidence of OOM kills needs a dashboard that keeps it.

  2. Symptoms

    During a rolling update of a kubelet change in one of Oath's on-premises production clusters, nodes started going NotReady, and soon all nodes in the cluster were NotReady.

    Trigger

    A change to kubelet was rolled out across the nodes of one cluster; on restart, kubelet cleans up transient cgroup files, and a Kubernetes bug in that step left kubelet stuck instead of starting.

    Root cause
    Component
    Contributing factor
    Detection

    Nodes reported NotReady and the eviction graphs climbed while the kubelet rollout was in progress.

    Remediation
    • failed the affected data center over so users were routed to the next available data center
    Action items
    • Run a functional test of kubelet after each upgrade batch and certify it before the next 30% of nodes are updated
    Lessons

    Check kubelet after upgrading it before moving to the next batch; a simple curl against the kubelet API would have caught this. The node controller's eviction throttling and full disruption mode, which the speakers note is not well documented, kept a cluster-wide kubelet failure from evicting every pod.

Check your cluster for this

These 2 cases involve Kubernetes controller manager and kubelet. 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