Incident Library
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Cases3 cases

1 to 3 of 3

  1. Symptoms

    From 08:00 US/Pacific on 12 March 2024, GKE GPU nodes running Container-Optimized OS (COS) that were newly created or recreated came up with GPU drivers that did not work, so workloads that used the GPUs could not run. GKE showed elevated errors.

    Root cause
    Component
    Contributing factor
    Detection

    The report does not say how Google detected the issue. Affected users saw "Failed to download GPU driver installer, status: 403 Forbidden" on the GPU node when installing the driver.

    Remediation
    • Halted automatic node recreations, which attempt GPU driver downloads, until the issue was mitigated
    • Worked with the driver partner to resolve access to the driver download bucket
    Lessons

    The status page report states no lessons or follow-up actions.

  2. Symptoms

    Between 06:00 and 07:00 UTC on 8 March 2023, Kubernetes nodes in several Datadog regions lost network connectivity at the same time, on AWS, Google Cloud and Azure. All services across multiple regions were affected, including the regions that host Datadog's CI/CD and automation tools. Datadog's regions are not connected to each other and changes are rolled out one region at a time, so a simultaneous failure on several cloud providers looked implausible at first.

    Trigger

    On 7 March 2023 Ubuntu published a systemd patch for a CVE (249.11-0ubuntu3.7). Ubuntu's default unattended upgrades installed it on the nodes between 06:00 and 07:00 UTC on 8 March, and installing it restarted systemd-networkd.

    Root cause
    Component
    Contributing factor
    Remediation
    • restarted thousands of disconnected instances on Google Cloud and Azure through the cloud APIs, keeping their local disks
    • rebuilt the data lost with terminated AWS instances' local disks through replication, reprocessing and restores from backup
    Lessons

    A change in a base operating system component can stay dormant for months until something restarts that component. Here the trigger was a security patch, and the change reached every region at once because automatic OS updates ran outside the progressive, region-by-region process used for every other change. Cloud providers react differently to an instance that loses its network. Google Cloud and Azure left the instances running, so a restart recovered them with their disks; AWS replaced them quickly, which brought stateless services back fast but destroyed the local-disk data the stateful services needed.

  3. 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.

Check your cluster for this

These 3 cases involve Node operating system image and Cilium. 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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