Incident Library
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  1. Symptoms

    At 5:00 PM BST on 12 August 2025 a 2i2c engineer declared an incident. While deploying a new cluster called temple and running into NFS issues, the engineer had deleted the prod namespace; the deletion hung, and listing the pods showed many users from a different cluster. The engineer's first message suggested that the kubeconfig had somehow been mutated or corrupted and that some other cluster was being torn down.

    Trigger

    While working around a bug in the NFS deployment process for a new hub, an engineer ran a delete of the prod namespace with the kubeconfig context pointing at the LEAP cluster.

    Root cause
    Component
    Contributing factor
    Detection

    The engineer who ran the deletion noticed when it hung and the pod list showed users of another cluster, and declared the incident at 5:00 PM BST, before the uptime check on leap.2i2c.cloud failed at 5:32 PM.

    Remediation
    • deleted the single remaining user pod in prod so the namespace deletion completed
    • killed the nfs-share-creator job that was blocking the deployment
    • redeployed the prod hub with the updated NFS server IP address
    • deleted the prod ingress during the deployment so that users could not start servers mid-deployment
    Action items
    • Write an incident report
    • Write a short incident response document for the case "I deleted prod, what next?"
    • Upgrade jupyterhub-home-nfs and remove the nfs-share-creator job
    • Add opt-in hardening against nested kubeconfig contexts to the deployer system
    • Change the engineer's shell configuration to show distinct kubeconfig contexts more clearly
    Lessons

    Provisioning persistent storage outside Kubernetes with Terraform meant a deleted namespace cost an hour of downtime and no data. The engineer had no visible cue for which kubeconfig context was active, which turned a workaround on a new cluster into a deletion on a production one. The engineer knew the fix but did not feel confident redeploying without first confirming with the tech lead, in another time zone, that there was no risk of losing persistent data, and reaching the tech lead took time.

Check your cluster for this

This case involves Ingress controller and Jobs and CronJobs. 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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