Cases6 cases

5 to 6 of 6

1. IL-0216 Wikimedia on-wiki search was slow or rejected after a datacenter switchover overloaded one Elasticsearch node in codfw

   Wikimedia Foundation2023

   Symptoms

   Right after the primary datacenter was switched from EQIAD to CODFW at 14:00 UTC on 20 September 2023, on-wiki search on all Wikimedia wikis became delayed or unavailable for a subset of users. At 14:08 the alert "CirrusSearch codfw 95th percentile latency - more_like" fired and reached IRC and the Search Platform email list as "PROBLEM alert - graphite1005/CirrusSearch codfw 95th percentile latency - more_like is CRITICAL".

   High latencyHigh error rateLoad imbalanceMisrouted requests

   Trigger

   At 14:00 UTC the primary datacenter was switched from EQIAD to CODFW. more_like queries that were expected to go to eqiad, the non-primary datacenter, went to codfw instead, apparently because RESTBase sent them as POST rather than GET.

   Root cause

   Software defect

   Component

   Elasticsearch or OpenSearchIn-memory cache

   Contributing factor

   Unverified assumptionDependence on a warm cacheNo runbook

   Detection

   Automated monitoring caught the problem, but not quickly enough to prevent user-facing impact: the Grafana alert "CirrusSearch codfw 95th percentile latency - more_like" went to IRC and the Search Platform email list at 14:08. No one was paged; SREs were already watching closely because of the datacenter switchover. At 14:14 Hashar pinged #wikimedia-search and engineers began troubleshooting.

   Remediation

   • Banned the overloaded node elastic2044 from the Elasticsearch cluster

   Action items

   • Work out which Elasticsearch steps are needed before a datacenter switchover
   • Update the Elasticsearch section of the datacenter switchover documentation
   • Review the suggested switchover improvements in T285347 and decide whether to implement them
   • Make the RESTBase /related/{article} endpoint send GET instead of POST so the CirrusSearch query cache stays warm in both datacenters
   • Review the shard balance of busy wikis, especially enwiki_content

   Lessons

   Monitoring caught the problem, but not quickly enough to prevent user-facing impact. The heightened attention during the switchover meant the impact was recognised immediately, and banning a single node was quick and easy. The mitigation was not guided by an existing runbook, and the shards on the overloaded host were not checked before it was banned.

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2. IL-0459 MediaWiki on Kubernetes terminated TLS with a wrong certificate after a deployment, and 1% of requests failed

   Wikimedia Foundation2023

   Symptoms

   On 9 August 2023, right after a MediaWiki configuration deployment at 11:41 UTC, the MediaWiki deployments on Kubernetes terminated TLS with a wrong certificate, and about 1% of Wikimedia web and API traffic, around 120 requests per second, received errors for about 30 minutes. The issue was detected by a page for failed service probes on mw-api-ext and mw-api-int.

   High error rateTLS certificate errorsControl plane lag

   Trigger

   At 09:37 a change to the global Kubernetes defaults was merged that switched supported charts to cert-manager certificates. The next MediaWiki on Kubernetes deployment, a configuration change at 11:41, picked it up.

   Root cause

   Configuration change

   Component

   cert-managerHelm

   Contributing factor

   Change with a delayed effectNo configuration tests

   Detection

   A page from the ProbeDown alerts for mw-api-ext:4447 and mw-api-int:4446 at 11:47; a KubernetesAPILatency alert had fired at 11:46.

   Remediation

   • Identified the issue and prepared a patch, https://gerrit.wikimedia.org/r/947331
   • Redeployed the MediaWiki deployments on Kubernetes

   Action items

   • Review whether deployment procedures and testing should be strengthened, for example against surprising changes on the next deployment and with canary deployments for Kubernetes
   • Look at metrics that become unavailable or unhealthy during deployments, or at reducing the impact of deployments

   Lessons

   The cause was found quickly because the person who made the breaking change was responding. The change should have been caught by CI, but the repository it was made in (hieradata) does not run the CI of the deployment charts. Only 1% of traffic going to Kubernetes kept the impact small, and the low error volume made it slower to link the errors to Kubernetes.

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