Incident Library
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Cases2 cases

1 to 2 of 2

  1. Symptoms

    Every rolling update of the team's microservices on Amazon EKS, behind an Application Load Balancer, was followed by intermittent 502 and 503 errors for users. A Slack message at 3 a.m. read "배포는 성공했는데, 서비스는 죽었다" (the deployment succeeded, but the service died). Every pod was Ready and Datadog was green while users saw errors.

    Trigger

    A rolling update of a Deployment served through an ALB that registers pod IPs as targets, with no pod readiness gates.

    Root cause
    Component
    Contributing factor
    Detection

    A Slack message at 3 a.m. reported that the deployment had succeeded but the service was down; Datadog dashboards were green at the time.

    Remediation
    • labelled the namespace with elbv2.k8s.aws/pod-readiness-gate-inject=enabled so the AWS Load Balancer Controller injects pod readiness gates and Kubernetes waits for the ALB target to be healthy before deleting old pods
    Lessons

    A pod being Ready in Kubernetes does not mean the load balancer will send it traffic. Without a readiness gate, a rolling update can delete the old pods while the ALB still considers the new targets unhealthy, and dashboards that track pod status stay green during the errors. Making pods wait longer on shutdown reduced the errors but did not fix the start-up gap and made every deployment much slower; the readiness gate ties the pod's Ready state to the ALB's view of the target.

  2. 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.

Check your cluster for this

These 2 cases involve In-memory cache and CI system. 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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