Cases21 cases

6 to 10 of 21

1. IL-0067 Redis filled its persistent volume, corrupted its append-only file and crash-looped on every restart

   BC Government2025sev1

   Symptoms

   The Klamm production application was completely unavailable for about 30 minutes outside working hours. Klamm's queue workers timed out because they could not reach the Redis cache, and the services that depend on it were badly affected.

   Service outageContainer crash loopPersistent volume full

   Trigger

   A large, unexpected spike in I/O from a Klamm Laravel worker sharply increased requests to the Redis cache.

   Root cause

   Capacity exhaustion

   Component

   Persistent volumes and stateful setsIn-memory cache

   Contributing factor

   No capacity planning

   Remediation

   • backed off the Redis StatefulSet and the deployment
   • deleted the corrupted PVC and rebuilt it
   • restarted the StatefulSet and the deployment

   Action items

   • Increase the Klamm Redis cache volume to 100Mi
   • Integrate Sysdig monitoring on the namespace
   • Enable replica pods on the Redis cluster

   View case
2. IL-0103 During an EKS node AMI update, Istio sidecars crash-looped because hundreds of pods restarting at once overloaded the external certificate authority behind istiod

   Tetrate (unnamed U.S. federal customer)2025sev1

   Symptoms

   While the customer was updating the AMIs of its Amazon EKS nodes across more than 30 clusters running Istio, sidecar-injected workloads in one cluster failed to start and showed CrashLoopBackOff.

   Container crash loopProbe failures

   Trigger

   Updating the EKS node AMIs, which started hundreds of sidecar-injected pods at the same time.

   Root cause

   Dependency failure

   Component

   IstioAdmission webhookNode operating system image

   Contributing factor

   Unreviewed defaultsUnknown limit

   Detection

   Sidecar-injected workloads in the updated cluster failed to start and showed CrashLoopBackOff; the customer raised a Severity 1 ticket and a Tetrate engineer was reviewing logs within six minutes.

   Remediation

   • scaled istiod down temporarily from 40 replicas to 1 to slow Istio's internal processes and ease the load on the CA
   • deleted the CertificateSigningRequests stuck in the Approved, Failed state
   • restarted the pods gradually in a controlled order instead of all at once

   Lessons

   When a mesh hands certificate signing to an external CA, every pod start becomes a signing request to that CA, so a mass restart such as a node image rollout can overload it. Sidecars then abort under istiod's 10-second default CA timeout even though the CSRs are eventually signed. Restarting pods in controlled batches keeps the request rate within what the CA can handle. The author's point is that diagnosing such a failure means looking at the whole service mesh ecosystem, including its external dependencies, not only Istio.

   View case
3. IL-0119 ChatGPT web service pods crash-looped on failing health checks after a Cosmos DB failure, leaving too few healthy pods to serve the web layer

   OpenAI2025

   Symptoms

   From 3:30am to 7:08am PT, chatgpt.com and a small number of OpenAI APIs returned elevated error rates. The status page classed the incident as a full outage.

   High error rateContainer crash loopProbe failures

   Trigger

   A failure of Cosmos DB in ChatGPT, at OpenAI's service provider.

   Root cause

   Cloud provider outage

   Component

   Database

   Contributing factor

   Health check tied to a dependency

   Remediation

   • the service provider recovered the affected Cosmos DB databases at 4:25am PT
   • fixed the web server's health checking logic, which ended the pod crash loop

   Action items

   • Change the web systems to degrade more gracefully when they fail, including concurrency control and better load shedding
   • Make the database layer more resilient to service provider outages (described as already underway)

   Lessons

   The database came back at 4:25am PT, yet users saw errors until 7:08am PT: the web tier's own health checks kept removing pods after the dependency had recovered. The planned changes target the web tier's behaviour under failure, with concurrency control and load shedding, rather than the database alone.

   View case
4. IL-0404 All BSEE SaaS customer pods on EKS crash-looped after Karpenter moved nodes to Bottlerocket v1.26.0, which broke Java

   PortSwigger2024

   Symptoms

   On 24 October 2024 every BSEE SaaS customer instance showed the Environment Unavailable message, and the SaaS Uptime Over Time metric dropped sharply at 04:45. The Technology Team learned of the outage when the Growth team posted about it at 08:07 and a member of the Product team told the Technology Team verbally at 08:15.

   Container crash loopService outage

   Trigger

   AWS made Bottlerocket v1.26.0 the latest Bottlerocket AMI in eu-west-1 between 02:00 and 04:30, and at 04:00 Karpenter saw the new version and started replacing the EC2 nodes of the production EKS cluster with it.

   Root cause

   Breaking change in an upgrade

   Component

   Node operating system imageKarpenter

   Contributing factor

   Unpinned version

   Detection

   The Growth team reported the outage in the BSEE cloud onboarding issues channel at 08:07, and a member of the Product team told the Technology Team verbally at 08:15. The SaaS Uptime Over Time metric had already dropped at 04:45.

   Remediation

   • Reverted all EC2 instances in the SaaS production account to Bottlerocket v1.25.0
   • Deployed Bottlerocket 1.25.0 across all EKS clusters and rolled out new EKS nodes

   Action items

   • Change the Karpenter resources to deploy a specific versioned Bottlerocket AMI instead of the latest released AMI
   • Add the Bottlerocket release ATOM feed to an internal tooling release dashboard
   • Set up a public status page to communicate with customers

   View case
5. IL-0232 Calico pods in the codfw WikiKube cluster hit their resource limits and crash-looped, taking nodes out one by one

   Wikimedia Foundation2024

   Symptoms

   At 05:01 UTC on 9 October 2024 a page fired for GatewayBackendErrorsHigh, elevated 5xx errors from page-analytics_cluster in codfw, followed by a growing number of KubernetesCalicoDown alerts for WikiKube nodes not running the calico-node pod and by MediaWikiMemcachedHighErrorRate. For about an hour uncached MediaWiki requests, such as those of logged-in users, edits and API calls, saw high latency or errors.

   High error rateHigh latencyContainer crash loopProbe failuresControl plane lag

   Trigger

   An operator used the new mwscript-k8s utility to run a batch of video transcode maintenance, the TimedMediaHandler requeueTranscodes.php script. mwscript-k8s deploys a whole helm release for every script invocation, so the batch created close to 2k Calico NetworkPolicies along with many other resources over several hours.

   Root cause

   Capacity exhaustion

   Component

   CalicoHelmJobs and CronJobs

   Contributing factor

   Change with a delayed effectNo runbook

   Detection

   Automated monitoring detected the issue and paged the on-call SRE: GatewayBackendErrorsHigh at 05:01:36 UTC, 16 KubernetesCalicoDown alerts at 05:03:32 UTC and MediaWikiMemcachedHighErrorRate at 05:04:15 UTC.

   Remediation

   • Raised the resource limits of the Calico and Typha pods and applied the change with helmfile, which redeployed all Calico pods

   Action items

   • Stop mwscript-k8s from creating so many resources

   Lessons

   The incident came close to a full outage. Automated monitoring caught it and many responders found the cause, but end users were affected and responders were unsure whether they could switch over to eqiad. The problem was noticed just before the hand-off from Americas to EMEA SRE shifts, a period with a long-known lack of coverage, and it helped that the transcodes were not queued on a Friday evening in the US.

   View case

By root cause8