Incident Library
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Cases3 cases

1 to 3 of 3

  1. Symptoms

    Creating or scaling a node pool on AKS 1.31.8 failed: the VMSS instances never finished provisioning. This started after planned maintenance moved the node image from 202507.* to 202508.*, in a cluster where nodes must send all outbound traffic through an internal HTTP/HTTPS proxy and direct egress is blocked. It happened with both Ubuntu and AzureLinux images.

    Trigger

    A node image auto-upgrade from 202507.* to 202508.* during planned maintenance, on clusters whose Kubernetes patch version was not pre-cached in the new image.

    Root cause
    Component
    Contributing factor
    Detection

    The customer saw VMSS instance provisioning fail with a vmssCSE error in the VMSS activity logs and reported it as a GitHub issue.

    Remediation
    • The customer pinned the node image to a 202507.* snapshot on clusters running 1.31.8
    • The customer upgraded clusters to AKS 1.31.9 or 1.31.10, whose binaries are cached in the 202508.* images
    • The AKS team hot-patched VHD 20250811 so the proxy configuration is used for uncached binary downloads and made it globally available in public regions on 2025-09-04; it also announced the hotfix for VHD 20250820
    • The AKS team told users to reimage their nodes with az aks nodepool upgrade --node-image-only to pick up the hotfixed image
    Action items
    • Apply the proxy fix in all future VHDs
    Lessons

    A bootstrap path that runs only when an artefact is missing from a cache is easy to break without noticing: here only clusters on Kubernetes versions not pre-cached in the node image ever downloaded binaries, so only they met the proxy regression. Testing node provisioning behind a mandatory egress proxy, on older patch versions as well as the newest, would exercise that path. For clusters with restricted egress, pinning the node image or moving to a Kubernetes version cached in the image were both quick workarounds while the fix was shipped.

  2. Symptoms

    On 2022-10-31 a planned upgrade of the vpc-cni EKS add-on, started from the deployment pipeline at 13:45 UTC, timed out at 14:10. Only about 10 of the 45 aws-node pods had upgraded, 5 were stuck in Terminating and the other 30 had not been attempted.

    Trigger

    At 07:30 UTC on 2022-10-31 the daily node rollover replaced the existing nodes with nodes built from AMI v20221027, the latest AWS EKS node AMI, released on 2022-10-29 and later recalled because of a kernel issue.

    Root cause
    Component
    Contributing factor
    Detection

    The team noticed nodes flapping between NodeNotReady and NodeReady ("KubeletNotReady PLEG is not healthy") at 14:30 UTC while watching the stalled vpc-cni upgrade, about seven hours after the rollover. Time to detection was 7 hours. Alerting did not catch the NodeNotReady events or the socket growth.

    Remediation
    • cordoned, drained and deleted 15 stuck nodes one at a time to complete the vpc-cni upgrade
    • changed the Terraform infrastructure-modules so a specific AMI could be set
    • rolled the EC2 Auto Scaling group launch configuration back to the previous known good AMI through the pipeline
    Action items
    • Reach out to teams with suggestions about readiness and liveness probes
    • Create a dashboard for readiness and liveness probe coverage
    • Write a wiki article on readiness and liveness probes and their usefulness
    • Modify infrastructure-modules to allow specifying a particular AMI
    • Schedule a discussion on whether to take the latest AMI immediately and how to test new AMIs before they are deployed
    • Implement alerting on abnormal NodeNotReady events and on increased socket use
    • Create a learning path for Kubernetes within the team
    • Collect logs from nodes centrally
    • Create a Prometheus exporter that retrieves the latest available AMI, with a dashboard and alerts
    Lessons

    When a new node AMI has just been rolled out, upgrading other cluster components on the same day makes it hard to tell which change is causing trouble; here the vpc-cni upgrade on the same day confused matters. Taking the latest AMI automatically with no way to pin one meant a rollback first needed a Terraform change. The team also concluded that it needs better communication paths with application teams during incidents.

  3. Symptoms

    Jetstack was upgrading the master of a development cluster that many teams use to test their apps during the working day, a regional Google Kubernetes Engine (GKE) cluster in europe-west1. The upgrade ran through Jetstack's GKE Terraform pipeline and did not finish before the 20-minute Terraform timeout, while the GKE console still showed the cluster as upgrading.

    Trigger

    A planned master upgrade of the shared development cluster. The same upgrade had been done on another pre-production environment earlier that day, and no API downtime was expected.

    Root cause
    Component
    Contributing factor
    Detection

    The first sign was the master upgrade missing the 20-minute Terraform timeout; re-running the pipeline returned the kube-apiserver unhealthy error. The cause was identified with the help of Google Support.

    Remediation
    • Deleted the OPA ValidatingAdmissionWebhook resource during a window of API server access
    Action items
    • Limit the OPA webhook to the namespaces where the policy applies and development teams have access
    • Enable the webhook only for Ingress and Service resources, the only resources the policy validates
    • Add a liveness probe so OPA is restarted when it stops responding, and update the OPA documentation
    • Follow the open upstream Kubernetes issue about this behaviour
    Lessons

    With alerting on API server response times, the team might have seen CREATE and UPDATE requests slow down across the board as soon as the OPA-backed webhook was first deployed. Every workload needs probes: OPA looked so simple to deploy that the team skipped the Helm chart, which adds a livenessProbe for the admission controller containers among other adjustments to the tutorial configuration. Others had hit the same problem, and an upstream issue to improve it was still open.

Check your cluster for this

These 3 cases involve kubelet and Node operating system image. 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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