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

Cases2 cases

1 to 2 of 2

  1. Symptoms

    At 11:32 UTC on 18 November 2021, a user reported in the jenkinsci/jenkins Gitter channel that https://www.jenkins.io/doc/pipeline/steps/ was answering HTTP/503 errors with the message "Guru meditation" from Fastly's varnish.

    Trigger

    The ingress-nginx Helm chart was upgraded from 4.0.6 to 4.0.8 at 10:42 UTC, and the new chart added an admission webhook rule that forbids Nginx configuration blocks in Ingress annotations.

    Root cause
    Component
    Contributing factor
    Detection

    A user reported in the jenkinsci/jenkins Gitter channel at 11:32 UTC that a jenkins.io page answered HTTP/503 errors, and status.jenkins.io reported the incident at 11:49 UTC.

    Remediation
    • Disabled the automated systems, rolled the ingress-nginx chart back to 4.0.6 and deleted the admission webhook by hand
    • Removed the forbidden annotations from the jenkins.io configuration
    • Upgraded the jenkins.io Helm chart to the last version known to work with ingress-nginx 4.0.8
    • Redeployed the jenkins.io Helm chart through the automated system and told Fastly to drop all cached pages
    Action items
    • Always read the changelog in depth when updating the ingress controllers, with two people pairing in real time
    • Add custom Datadog monitoring for www.origin.jenkins.io so that such an outage is detected
    • Make the monitor send the Host header www.jenkins.io so it is not redirected to Fastly
    • Check a set of pages, such as the pipeline steps page, not only the front page
    • Consider an ephemeral k3s end-to-end test before deploying to production
    Lessons

    Trusting a patch version of a Helm chart for the Ingress controller without reading its changelog in depth let a new admission rule remove the jenkins.io Ingress in production. Without monitoring on origin.jenkins.io, a user found the outage. A complete staging cluster with the same DNS setup would have caught the problem before production.

  2. Symptoms

    Users reported that their jobs were not starting, with some sign that image pulls were involved. Many pods across the cluster were in error states related to image pulls, while applications that were already running were not affected.

    Trigger

    A change to the permissions on a storage bucket that one application needed to read. The application could no longer start, and its DaemonSet, running on roughly a thousand nodes of the cluster, went into a crash loop with imagePullPolicy: Always, so every restart pulled the image again although it was already on the node.

    Root cause
    Component
    Contributing factor
    Detection

    Users reported that their jobs were not starting; monitoring had not caught it first.

    Remediation
    • replaced the affected NAT instances so registry traffic came from new source IPs
    • reconfigured the static IPs and firewall rules so applications could reach the Cloud SQL database again
    Action items
    • Add an admission webhook that rejects floating image tags, starting with latest
    • Apply the image tag webhook to workload objects only, not to pods, after it blocked pods created by in-cluster controllers
    Lessons

    The speakers' takeaway is to be very careful with DaemonSets in large clusters: they say they had broken everything DaemonSets depend on, including DNS, Vault and the image repository, and that it is very easy to break things when managing them by the thousand. imagePullPolicy: Always made every crash-loop restart pull the image again. Sending all registry traffic through three NAT instances put the whole region behind three source IPs, which the registry rate-limited, and changing those IPs cut the connections to a critical database reached over the internet through them. An admission webhook on pods rejects the pods that controllers in the cluster create, where no user sees the error.

Check your cluster for this

These 2 cases involve Admission webhook and CDN and edge network. 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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