Incident Library
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Cases2 cases

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  1. Symptoms

    At 02:58 UTC on 31 March 2025, the sessionstore service in both Wikimedia data centres began returning 500 errors and edits failed. MediaWikiEditFailures (session loss) fired as critical at 03:03, and SessionStoreErrorRateHigh paged at 03:04.

    Trigger

    A rise in session writes, made up of session overwrites at a high rate, filled the storage of the sessionstore Cassandra nodes. The review says the rollout of SUL3 correlates strongly with it.

    Root cause
    Component
    Contributing factor
    Detection

    MediaWikiEditFailures (session loss) fired as critical at 03:03 UTC, and SessionStoreErrorRateHigh, a high 5xx rate alert, paged the batphone at 03:04. Users also reported the problem in task T390512.

    Remediation
    • Wiped the sessionstore storage, removing all sessions, and restarted Cassandra
    Action items
    • Page when the disk utilisation trend becomes unreasonable
    • Increase sessionstore storage capacity
    • Add namespacing to sessionstore
    • Add observability of the sessionstore workload
    • Identify the cause of the high rate of storage growth in sessionstore Cassandra
    • Consider an alert, without paging, on the Cassandra error rate
    • Consider paging or alerting when Cassandra nodes enter a down state
    Lessons

    The storage growth before the node failures made their timing predictable, so an alert on high storage utilisation well in advance would have given a chance to act before users were affected, and an alert on Cassandra node failures would have told responders more than an HTTP error rate alert. A cluster seen as heavily over-provisioned can still grow quickly and unsustainably under an unusual workload.

  2. Symptoms

    On 10 September 2019 the Kubernetes API server of Wikimedia's Toolforge cluster did not come back after the maintain-kubeusers process restarted it at 18:30. To monitoring and to users the whole cluster looked down: Toolforge users could not launch tools with the webservice command on the Kubernetes backend or use kubectl, and an Icinga check against the "All k8s nodes healthy" endpoint started alerting at 18:45.

    Trigger

    At 18:30 the maintain-kubeusers process restarted the Kubernetes API server, which forced it to reconnect to etcd with a CA certificate that Puppet changes the night before had left mismatched with the etcd servers.

    Root cause
    Component
    Contributing factor
    Detection

    Automated monitoring: an Icinga alert on the toolschecker check http://checker.tools.wmflabs.org/k8s/nodes/ready, about "All k8s nodes healthy", fired at 18:45.

    Remediation
    • Rebooted the Kubernetes master and the etcd cluster, which did not help
    • Took a backup of etcd and reduced the etcd cluster to one node to rule out raft election flaps
    • Brought etcd back to full capacity through a full disaster recovery from the backup
    • Swapped the API server's CA certificate for the one from the etcd servers, which restored services until Puppet reverted it
    • Placed the etcd Puppet CA certificate in /var/lib/puppet/client/ssl/certs/ca.pem so Puppet kept the right CA
    Action items
    • Document the etcd cluster processes
    • Upgrade Toolforge Kubernetes to improve etcd and Kubernetes error reporting and stop needing an API server restart to add a tool
    • Make kube2proxy more resilient to API server failures
    • Audit the Puppet CA certificates so the tools project has no more than one
    • Make the Kubernetes control plane highly available
    Lessons

    Components that often misbehave, such as etcd, drew the responders to the wrong fix, and working on etcd instead of the CA certificates made the outage worse. Puppet-managed certificates are risky, and very old Kubernetes versions log errors that are hard to read. The failure was hard to find because it surfaced at an API server restart rather than at the Puppet change, because the etcd cluster had long-standing undocumented quirks, and because no disaster recovery or node replacement procedure was written down for etcd.

Check your cluster for this

These 2 cases involve Configuration management tool and Database. 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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