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

Cases5 cases

1 to 5 of 5

  1. Symptoms

    Linodes deployed with StackScripts failed to deploy and could not boot. Every newly created Linode Kubernetes Engine (LKE) and LKE-E node relies on StackScripts, so LKE autoscaling and node recycling failed as well, in all regions.

    Trigger

    A recent update on the compute hosts removed a credential parser that is used when decoding StackScripts.

    Root cause
    Component
    Contributing factor
    –
    Detection

    The issue was identified at 18:18 UTC on 2026-05-15. The first status post went up at 00:42 UTC on 2026-05-16.

    Remediation
    • tested and applied a rollback starting at 01:10 UTC on 2026-05-16, and failures dropped from 01:20 UTC
    Lessons

    Removing a credential parser from the compute hosts broke the boot of every Linode deployed with StackScripts, and every new LKE and LKE-E node is one of them, so node creation, autoscaling and node recycling stopped in all regions. The rollback reduced failures ten minutes after testing began.

  2. Symptoms

    From about 19:15 UTC on 12 March 2026, customers in the Osaka data center (JP-OSA) could not create Linode Kubernetes Engine for Enterprise (LKE-E) clusters. Cluster creation stalled indefinitely.

    Trigger

    A phased rollout of the LKE software release reached the Osaka data center.

    Root cause
    Component
    Contributing factor
    –
    Detection

    The problem began at about 19:15 UTC, and the first status post, about five and a half hours later at 00:45 UTC on 13 March, said the team was investigating an emerging issue with deploying new LKE Enterprise clusters in Osaka.

    Remediation
    • deployed a software fix to mitigate the impact
    Action items
    • Investigate the root cause further and take preventive actions
    Lessons

    The problem followed a phased rollout of an LKE software release in the Osaka data center. There, cluster creation and administrative tasks stalled for more than six hours, and the first status post came about five and a half hours after the start.

  3. Symptoms

    From about 21:00 UTC on March 4, 2026, customers using Linodes backed by NVIDIA RTX 4000 Ada GPUs saw the GPUs lock up. At first the problem seemed limited to worker nodes of the Linode Kubernetes Engine (LKE); later Linode confirmed that every Linode with this hardware was affected, while Standard Compute and other GPU instances were not.

    Trigger

    Deployment of a repaired legacy GPU monitoring script, fixed during a routine improvement effort to restore a missing metric on internal observability dashboards.

    Root cause
    Component
    Contributing factor
    Detection

    Customers saw the lockups from about 21:00 UTC; the first status post went up at 02:07 UTC on March 5, about 5 hours after the lockups began.

    Remediation
    • Disabled the monitoring script across the GPU fleet
    • Rebooted the affected nodes
    Action items
    • Take improvement and prevention measures to stop a recurrence; the postmortem does not list them
    Lessons

    A monitoring script can take down the hardware it watches. A fix meant only to restore a missing metric brought back a firmware query written for an earlier GPU generation, and on the RTX 4000 Ada architecture that query against an active GPU triggers a lockup. The script ran across the GPU fleet, so every Linode with this GPU was affected in several regions, and the investigation first suspected a regression in the host hypervisor or the GPU firmware.

  4. Symptoms

    Resizing an LKE cluster produced an incorrect number of nodes, so some customer clusters were resized in unexpected ways and the extra worker nodes were billed to the customer accounts. The clusters themselves kept functioning. Linode's first status update, at 05:07 UTC on 1 June 2023, advised customers to avoid resizing their clusters if possible.

    Trigger

    At about 16:00 UTC on 31 May 2023 a change to the API that caused LKE clusters to scale improperly was pushed to production.

    Root cause
    Component
    Contributing factor
    Detection

    The first status update, at 05:07 UTC on 1 June, said Linode had been made aware of an issue when resizing LKE clusters, about 13 hours after the change went out.

    Remediation
    • advised customers to avoid resizing their clusters
    • deployed a hotfix at 09:40 UTC on 1 June that corrected the scaling behaviour
    • left the extra worker nodes in place to avoid disrupting customer workloads
    • contacted affected customers by ticket about credit adjustments and further mitigation
    Action items
    • Audit the automated tests
    • Add pre-deployment checklist items so the same failure does not happen again
    Lessons

    An API change that alters scaling behaviour resized customer clusters and added cost while the clusters themselves kept working; Linode announced the issue about 13 hours after the change went out. Removing the extra nodes would have disrupted workloads, so the cost was handled through credits instead.

  5. Symptoms

    From about 18:30 UTC on June 15, 2022, customers of the Linode Kubernetes Engine (LKE) who tried to upgrade a cluster or add nodes saw those operations fail silently, without an error. The status page opened an investigation of an LKE issue at 19:54 UTC, and the affected list covered LKE in eleven regions.

    Trigger

    An incremental update pushed to the LKE production environment at about 18:30 UTC.

    Root cause
    Component
    Contributing factor
    –
    Detection

    The status page began investigating at 19:54 UTC, 1 hour 24 minutes after the update.

    Remediation
    • Released a follow-up LKE update at about 21:00 UTC that contained the missing changes
    Action items
    • Add steps and automation to the update process
Check your cluster for this

These 5 cases involve Node pool and Cluster autoscaler. 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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