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

Cases2 cases

1 to 2 of 2

  1. Symptoms

    On 19 August 2026 the first equipment-level signs in Nebius's us-central1 region appeared around 09:40 UTC: the InfiniBand fabric degraded and GPU over-temperature alerts began to accumulate. Customer reports followed shortly after 10:00. At 10:15 on-call engineers were paged on critical component temperature alerts, and the incident was declared at 10:21.

    Trigger

    A storm-related event at the data center building took the building management system offline and shut down the chilled-water cooling loop.

    Root cause
    Component
    Contributing factor
    Detection

    No facility-level alert fired, because the storm also disabled the building management system that monitors the facility. Engineers acted on component over-temperature alerts that paged on-call at 10:15 UTC, after InfiniBand degradation, GPU over-temperature alerts and customer reports; the temperature rise from about 09:15 was visible on dashboards but had no alert.

    Remediation
    • had the facility operator switch cooling to manual bypass mode and opened rack rear doors to vent heat
    • re-energised tripped racks, control-plane racks first
    • restored the regional infrastructure control plane by manual intervention
    • restarted block-storage host components to clear stale disk attachment state
    • raised the VM recovery rate limits by hand for the region-scale recovery
    • started the affected Managed Kubernetes control-plane instances by hand
    • applied a controlled stop and start to control-plane instances whose data disk had been left unattached
    • identified and started 104 customer VMs that the incident had stopped
    Action items
    • Complete a joint resilience review with the facility operator covering redundancy of facility-management and monitoring systems, cooling that keeps running when those fail, electrical protection of cooling equipment and on-site response
    • Add facility-level environmental alerting on cooling plant state and room temperature trend that pages on-call independently of the building management system
    • Set up a documented emergency escalation path with the facility operator, with an on-call contact tree and guaranteed response times
    • Define an emergency heat-load reduction procedure with criteria, ownership and mechanics for shutting down or degrading workloads during a cooling loss
    • Establish a dependency-ordered region cold-start procedure with clear ownership for each service layer
    • Run regular region-scale recovery drills that cover VMs, storage attachments and Managed Kubernetes clusters
    • Fix the disk-attachment bug that extended the Managed Kubernetes outage and deploy the fix to all production regions
    • Improve the recovery policies Compute users can configure, and move all Managed Kubernetes control-plane nodes to the improved policy
    • Automate reconciliation of stale storage attachment state after abrupt host failures
    • Remove in-region dependencies from monitoring startup and recovery, and extend cross-region monitoring
    • Make regional health checks used for global traffic management reflect real service availability
    Lessons

    Facility monitoring that runs on the same system it watches goes silent in exactly the failure it should report, and with no alert on the room temperature trend there was no practical window to shed heat load in a controlled way. A cold start of a whole region exercised recovery paths built for isolated failures: single-attempt VM recovery, conservative rate limits and stale disk attachments all needed manual work. The longest part of the outage was restoring customer resources, Managed Kubernetes control planes above all, so Nebius is extending its recovery drills to that layer.

  2. Symptoms

    Shortly after 9am UTC on 17 July 2018, the disk space of the GitLab cluster behind gitlab.freedesktop.org was critical, and some API requests were failing because of the shortage. The administrator first learned of the failure when people mentioned it on IRC.

    Trigger

    Many recently created forks of Mesa, each about 2.1GB, filled the disk space of the GitLab cluster.

    Root cause
    Component
    Contributing factor
    Detection

    People mentioned the failure on IRC. Monitoring and alerting on disk usage and API error rate had not been set up yet.

    Remediation
    • Dropped all inbound traffic to GitLab at the firewall except from the administrator's IP
    • Took a manual backup by streaming tar over SSH to an encrypted partition on a local machine
    • Snapshotted all GCE disks behind the PersistentVolumes
    • Copied the data from the old disk snapshots to new enlarged volumes through a temporary GCE VM
    • Re-did the copy into new empty volumes with the correct directory structure and checked repositories, users and workflows
    • Restored public access to GitLab
    Action items
    • Set up monitoring, logging and alerts
    • Find ways to communicate outages much better; this one was announced only on IRC, and the lists were not told when it dragged on
    • Use the Cloud console clients instead of the slow Cloud Console web UI
    • Add more GitLab administrators, ideally someone familiar with Kubernetes deployments
    • Move from the single Omnibus container to GitLab's cloud native deployment with one container per service
    • Move storage to resizeable volumes or to Google Cloud Storage
    Lessons

    The backup step alone used up the outage window; backups had grown along with the disk problem, and a test run before announcing the window could have measured it. The changes had been tested on a scratch cluster, but not exactly as run, and tests of steps such as disk snapshots could have been more realistic. A single GitLab administrator who was new to Kubernetes was a single point of failure. Keeping at least three copies of the data from the first destructive step meant no data was lost.

Check your cluster for this

These 2 cases involve Cloud block storage and Data center power and cooling. 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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