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

Cases3 cases

1 to 3 of 3

  1. Symptoms

    On 2025-03-12 from 10:58 UTC, alerts for high backend response times came in, and the MediaWiki deployments mw-api-int, mw-parsoid and mw-jobrunner, which serve MediaWiki for non-user-facing purposes, showed high latency and database errors. The External Storage cluster, whose hosts store the compressed text of wiki page revisions, had a sharp rise in load and connections. The same happened again on 2025-03-13 from 11:15 UTC.

    Trigger

    At 10:44 UTC on 12 March a Scap deployment of the PHP 8.1 rollout for mw-api-int, mw-parsoid and mw-jobrunner was run with the flag -Dbuild_mw_container_image:False; the rollout was deployed with Scap again at 11:15 UTC on 13 March.

    Root cause
    Component
    Contributing factor
    Detection

    Alerts for high backend response times started at 10:58 UTC on 12 March, 14 minutes after the Scap deployment; 2 on-call engineers were paged. The MediaWikiMemcachedHighErrorRate alert that pointed at the cause fired only briefly because its log pipeline was overloaded.

    Remediation
    • Deployed a patch to cirrus-streaming-updater that reduced SUP parallelism
    • Reduced the concurrency of the categoryMembershipChange job in changeprop-jobqueue
    • On 12 March, reverted 1126607 and 1126650 and re-ran Scap
    • On 13 March, rolling-restarted changeprop-jobqueue
    • Rolling-restarted mw-api-int
    • Disabled the categorymembership job in changeprop-jobqueue
    • Reverted 1127476 and 1127478
    • Redeployed mw-api-int to pick up the revert
    • Increased the number of mw-api-int replicas
    • Redeployed mw-jobrunner to pick up the revert
    • Redeployed mw-parsoid to pick up the revert
    Action items
    • Reduce the number of messages sent through channel:Memcached during failures
    • Add helm rollback functionality to Scap
    • Decide whether Scap should update helmfile-defaults when -Dbuild_mw_container_image:False is set
    • Consider removing envvars.inc from MediaWiki images
    • Consider "Why" dashboards that give an overview of a group of related components together with relevant links to follow
    • Coordinate incident responders better
    • Be able to work with MediaWiki developers during incidents
    Lessons

    The write-up puts the weight not on the technical root cause but on why the team could not see, even after the 12 March incident, that three MediaWiki deployments were running without Memcached. Alert dashboards showed what was happening, such as many busy PHP workers, but not why; dashboards linking components that affect each other, such as SQLBlobStore keys and External Storage, would have helped. The alert that pointed in the right direction did not stay firing and would probably have been lost among 78 others. The incident coordinator could not tell who was working on what or who had joined or left, the channels were noisy, the external impact was judged more critical than it was, and trace.wikimedia.org was not used although it might have helped.

  2. Symptoms

    Terraform, applied from the shared cluster configuration repository after a merge, deleted Spotify's production GKE cluster in Asia. While the team tried to recreate it, Terraform deleted a second production cluster, so two of the three production clusters were gone.

    Trigger

    A feature team's pull request that added three users to an existing RBAC role binding file was merged before the cluster operators' pull request that imported the Asia cluster into Terraform state. The review build of the import pull request had already written the cluster into the shared state file, and the merged configuration had no definition of the Asia cluster, so Terraform removed it.

    Root cause
    Component
    Contributing factor
    Detection

    Internal service discovery could not reach the deleted cluster and the cluster operator team was paged.

    Remediation
    • removed the deleted clusters from the service discovery configuration and restarted service discovery so clients fell back to the instances outside Kubernetes
    • one team that ran half on Kubernetes and half on VMs created more VMs outside Kubernetes to handle the load
    • recreated the clusters, using the hourly backups
    • updated the places where the old clusters' master IPs were hardcoded
    Action items
    • Post the Terraform dry-run output as a comment on each pull request
    • Require a status check that the branch is up to date with master, so the dry run reflects what will actually happen
    • Require an approving review on pull requests
    • Fail reviews automatically when certain keywords such as destroy appear; cluster deletions are done manually outside this repository
    • Add linters and validators for the cluster configuration
    • Schedule and announce disaster recovery tests that cover a cluster going away and smaller failures
    Lessons

    Plan for failure from the start and migrate large infrastructure gradually, so there is redundancy and a way back. A backup whose restore has never been tested is not a backup. Practising disaster recovery paid off: restoring the first deleted cluster took three and a quarter hours, and the team can now restore a larger cluster in one hour. What matters is not who made the mistake but what was learned from it.

  3. Symptoms

    Overnight into 26 March 2019 (PDT), every Prow test job that needed a GCP project from Boskos, the Kubernetes test-infra service that hands out GCP projects to test jobs, failed. The required job pull-kubernetes-e2e-gce failed on every run, so no pull request could be merged in kubernetes/kubernetes for just over nine hours, and other projects saw similar failures.

    Trigger

    At 23:04 PDT the node running the only Boskos pod was drained to be replaced with a 1.13 node during the upgrade of the Prow clusters from Kubernetes 1.11 to 1.13. The replacement pod started from the StatefulSet's current spec, which named a newer Boskos image containing the bug.

    Root cause
    Component
    Contributing factor
    Detection

    Users reported the failure on GitHub at 02:50 and on Slack at 05:16 and 06:27, and an engineer saw the Slack reports on waking at 07:16. The Boskos monitoring dashboard showed the failure, but no alert caught it.

    Remediation
    • Built and deployed a new Boskos image with the bug fixed
    • Cleaned up the GCP projects that had been left open
    Action items
    • Change the Boskos configuration so that deployments actually take effect (#11956)
    • Automate Boskos deploys (#11957)
    • Improve alerting on Boskos status (#11953)
    Lessons

    The write-up lists what went poorly: a ten-hour upgrade was started shortly after 17:00 when on-call coverage ended at 18:00; deployments were not checked to confirm that something had actually rolled out; the Boskos StatefulSet was not set up to perform updates, so changing its spec left the old pod running; the December change appears never to have been tested; and Boskos was deployed by hand, unlike most of Prow, which left more room for error. Once people were available, the problem was fixed quickly.

Check your cluster for this

These 3 cases involve CI system and In-memory cache. 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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