Cases14 cases

6 to 10 of 14

1. IL-0079 A GKE node auto-upgrade to an ubuntu_containerd image with a kernel regression left kube-proxy unable to apply its ip6tables rules, so load balancer health checks failed and several clusters lost all ingress traffic

   Altinity2025

   Symptoms

   On a Saturday, an OpsGenie alert fired for a ClickHouse cluster in Altinity.Cloud that had gone silent: no queries, no metrics, and no logs from customers trying to connect. The pods were running and the nodes looked healthy, but no traffic reached the database. Other clusters soon showed the same thing, and external access was blocked across several GKE clusters.

   Service outage

   Trigger

   GKE automatically upgraded worker nodes to the ubuntu_containerd image 1.32.3-gke.1785003, which ships kernel 6.8.0-1022-gke.

   Root cause

   Breaking change in an upgrade

   Component

   kube-proxyNode operating system imageLinux kernelCloud load balancer

   Contributing factor

   Unpatched known bugNo staged rollout

   Detection

   An OpsGenie alert fired when one ClickHouse cluster stopped receiving queries, metrics and customer connection logs.

   Remediation

   • added maintenance exceptions to pause all upgrades on the GKE clusters that were not yet affected
   • changed the load balancer health check policy to ignore failed kube-proxy health checks, so traffic flowed to the nodes again
   • began migrating the affected clusters from the ubuntu_containerd to the cos_containerd node image by recreating nodes

   Action items

   • Expand image pre-testing pipelines to catch regressions earlier
   • Enable notifications for upcoming GKE auto-upgrades
   • Make GKE maintenance windows required across the fleet to control when upgrades roll out
   • Track Google's issue and wait for a patched Ubuntu image

   Lessons

   A managed node upgrade can break kube-proxy in a way that leaves pods and nodes looking healthy while the load balancer sends nothing, because the load balancer health check depends on kube-proxy. kube-proxy's own logs showed the cause. Altinity recommends that GKE users on ubuntu_containerd restore traffic by switching to externalTrafficPolicy: Cluster, which disables the kube-proxy health check in the load balancer, move production workloads to cos_containerd, and pause auto-upgrades where possible until a patched image has been confirmed and tested.

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2. IL-0201 A framework upgrade caused kernel panics in GitHub's Kubernetes infrastructure, and GitHub.com web and API requests, mostly for issues and pull requests, failed intermittently for about 16 hours

   GitHub2025

   Symptoms

   From 18:05 UTC on March 17, 2025, GitHub.com web and API requests failed now and then for a small percentage of users, mostly requests about issues and pull requests. At 18:39 UTC the status page reported degraded performance for Issues.

   High error rateIntermittent timeouts

   Trigger

   A framework upgrade rolled out to GitHub's Kubernetes infrastructure caused kernel panics.

   Root cause

   Breaking change in an upgrade

   Component

   Linux kernel

   Contributing factor

   –

   Detection

   The status page opened the incident at 18:39 UTC, 34 minutes after the failures began, as an investigation of reports of degraded performance for Issues.

   Remediation

   • Downgraded the framework upgrade that caused the kernel panics
   • Disabled the problematic feature of the framework

   Action items

   • Investigate why the upgrade caused the kernel panics
   • Take steps to temporarily prevent the problem from coming back
   • Work out longer-term patch plans
   • Improve observability so that similar classes of problems can be reacted to quickly

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3. IL-0117 A scheduled maintenance and an ingress upgrade on OpenAI's user-facing clusters caused a networking control plane regression that briefly broke the data plane, and the services that restarted then overwhelmed a backend persistence store with a heavy first-start query

   OpenAI2024

   Symptoms

   On August 16, 2024 from 11:38 AM to 1:16 PM PT, the OpenAI primary API was unreliable: ChatGPT conversations succeeded less often, and logging in and creating accounts were affected. The status page called it elevated error rates for ChatGPT and the Platform API. The incident came in two waves, of 44 and 15 minutes.

   High error rateDatabase overload

   Trigger

   A scheduled maintenance combined with an upgrade to the ingress of OpenAI's user-facing clusters.

   Root cause

   Breaking change in an upgrade

   Component

   Ingress controllerApplication database

   Contributing factor

   No staged rolloutAutomation amplification

   Action items

   • Mitigate the networking control plane regression and validate that control plane restarts do not interfere with the clusters' data plane
   • Change service software to start faster and remove the first-start query, relieving the persistence layer
   • Deploy configuration changes that optimise the networking control plane's effect on the clusters' ability to handle traffic
   • Remove the expensive database query from critical startup paths
   • Add monitoring and alerting for networking control plane issues
   • Introduce staged rollouts with longer soak time for infrastructure changes
   • Audit systems for other slow queries that may affect service start time

   Lessons

   A brief connectivity loss turned into a long outage because recovery itself was expensive: the services that restarted overwhelmed one backend persistence store with a heavy first-start query. Keeping costly queries off startup paths shortens recovery, and staged rollouts with longer soak time limit how many systems an infrastructure regression reaches before it is caught.

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4. IL-0203 A routine Kubernetes cluster system update made the AWS Load Balancer Controller fail, so new pods were never registered with the ALB and Honeycomb's EU1 ingest and UI went down once the last old pods were replaced

   Honeycomb2024

   Symptoms

   Event ingestion and the Honeycomb UI in EU1 became unavailable at 22:00:10 UTC on April 9, 2024, and the status page reported that the EU1 instance was down. Both the ingestion service and the service behind the web UI stopped at roughly the same moment.

   Service outageStale endpoint routing

   Trigger

   A routine system update to the Kubernetes cluster, rolled out earlier on April 9, followed by a regular deployment that replaced pods one at a time.

   Root cause

   Breaking change in an upgrade

   Component

   Ingress controllerCloud load balancer

   Contributing factor

   Monitoring blind spotUnrepresentative stagingChange with a delayed effect

   Detection

   The first status post, saying the EU1 instance was down, went up at 15:08 PDT (22:08 UTC), about 8 minutes after the outage began. There was no alerting on the AWS Load Balancer Controller.

   Remediation

   • Restarted the AWS Load Balancer Controller
   • Rolled back the Kubernetes cluster system update

   Action items

   • Find the exact cause of the failure so the system update can be deployed safely
   • Add monitoring and alerting on the AWS Load Balancer Controller so on-call engineers learn of a failure quickly and can pause deployments

   Lessons

   A rolling deployment can look healthy while the component that wires new pods into the load balancer is broken; the failure only shows when the last old pod goes away. Honeycomb now treats the AWS Load Balancer Controller as a critical component that needs its own alerting, so deployments can be paused before they remove the last pods that still receive traffic. Extensive testing in development and staging did not reveal the bad interaction.

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5. IL-0180 A GKE control plane auto-upgrade from 1.22 to 1.23 removed the v1beta1 Ingress and ValidatingWebhookConfiguration APIs that Istio 1.7.4 still used, and Istio stopped working in production

   Sunwoo Park2023

   Symptoms

   On 2023-05-18 a Slack alert arrived at 20:01 and Istio stopped working properly in the production GKE cluster. The istiod error logs said that the v1beta1.Ingress and v1beta1.ValidatingWebhookConfiguration resources could not be found.

   Service outage

   Trigger

   GKE automatically upgraded the production cluster's control plane from 1.22.17-gke.7500 to 1.23.17-gke.1700 at 19:52 on 2023-05-18.

   Root cause

   Breaking change in an upgrade

   Component

   IstioGKE control planeAdmission webhook

   Contributing factor

   Deferred upgrades

   Detection

   A Slack alert at 20:01 on 2023-05-18, nine minutes after the control plane upgrade. The istiod error logs showed that the v1beta1 Ingress and ValidatingWebhookConfiguration resources could not be found.

   Remediation

   • upgraded Istio from 1.7.4 to 1.13.3

   Lessons

   The first diagnosis, end of support for Istio, was wrong; the real cause was found by matching the alert time against the cluster's UPGRADE_MASTER operations in Logs Explorer. The author recommends checking the version compatibility matrices of Kubernetes, Istio and other packages, keeping a production version for at least six months and upgrading three months before end of support, keeping the test environment on the latest version, backing up before upgrades, managing deployments and versions with a tool such as Argo CD, and testing upgrades in a test environment before production.

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