Cases5 cases

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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-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

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3. IL-0153 DOKS worker nodes went NotReady at 06:00 UTC on three days because a systemd timer in the Debian image ran apt upgrade and killed it mid kernel upgrade, breaking node networking

   DigitalOcean2023

   Symptoms

   Customers of DigitalOcean Managed Kubernetes (DOKS) saw worker nodes go NotReady between 06:00 and 07:00 UTC and stay unavailable, taking down the services on them, until the nodes were replaced or rebooted; some nodes needed several replacements or reboots. The first sporadic reports on October 8 said replacing the node fixed it. The same thing happened again around 06:00 UTC on October 9, more widely and across many regions, and again on October 10. Only clusters on versions 1.27.6-do.0 and 1.28.2-do.0 were affected.

   Node NotReadyService outage

   Trigger

   A systemd timer in the DigitalOcean Debian image started apt upgrade daily at 06:00 UTC, with a random delay of up to 60 minutes.

   Root cause

   Configuration change

   Component

   Node operating system imageLinux kernelkubelet

   Contributing factor

   Unreviewed defaultsLimited debug accessChange with a delayed effect

   Detection

   Sporadic customer reports of failed worker nodes arrived at 07:43 UTC on October 8; internal incident response started at 07:10 UTC on October 9 after broader impact across regions.

   Remediation

   • Advised customers to replace or reboot affected worker nodes
   • Arranged SSH and console access to worker nodes while they were healthy, and live-debugged an affected node on October 10
   • Released a DaemonSet to all affected clusters that disables the apt upgrade systemd timer on every worker node
   • Released new node images without the auto-update process

   Action items

   • Disable the timer during node provisioning, then remove the DaemonSet from all clusters
   • Add a check to the internal conformance test suite for new cluster versions that the auto-upgrade process and other unwanted timers stay disabled
   • Support logging into worker nodes even when normal access paths are broken

   Lessons

   An operating system auto-update timer left enabled in a node image can change the kernel and systemd underneath Kubernetes, and a timeout that kills the upgrade half-way can leave a node without networking. Failures that start at the same time every day point to a scheduled job on the nodes, and systemd timers belong on that list next to cron jobs. When the failure takes out a node's network, an investigation that depends on logging into the node stalls; access paths that work while the node is broken shorten diagnosis.

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4. IL-0198 An automatic Ubuntu security update restarted systemd-networkd, which flushed the IP rules Cilium relied on and cut more than 60 percent of Datadog's Kubernetes nodes off the network across regions and cloud providers

   Datadog2023

   Symptoms

   Between 06:00 and 07:00 UTC on 8 March 2023, Kubernetes nodes in several Datadog regions lost network connectivity at the same time, on AWS, Google Cloud and Azure. All services across multiple regions were affected, including the regions that host Datadog's CI/CD and automation tools. Datadog's regions are not connected to each other and changes are rolled out one region at a time, so a simultaneous failure on several cloud providers looked implausible at first.

   Node NotReadyService outageThroughput degradation

   Trigger

   On 7 March 2023 Ubuntu published a systemd patch for a CVE (249.11-0ubuntu3.7). Ubuntu's default unattended upgrades installed it on the nodes between 06:00 and 07:00 UTC on 8 March, and installing it restarted systemd-networkd.

   Root cause

   Breaking change in an upgrade

   Component

   systemd-networkdCiliumNode operating system image

   Contributing factor

   Unreviewed defaultsChange with a delayed effectNo staged rolloutAutomation amplification

   Remediation

   • restarted thousands of disconnected instances on Google Cloud and Azure through the cloud APIs, keeping their local disks
   • rebuilt the data lost with terminated AWS instances' local disks through replication, reprocessing and restores from backup

   Lessons

   A change in a base operating system component can stay dormant for months until something restarts that component. Here the trigger was a security patch, and the change reached every region at once because automatic OS updates ran outside the progressive, region-by-region process used for every other change. Cloud providers react differently to an instance that loses its network. Google Cloud and Azure left the instances running, so a restart recovered them with their disks; AWS replaced them quickly, which brought stateless services back fast but destroyed the local-disk data the stateful services needed.

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5. IL-0501 Every node of the UToronto Kubernetes cluster on Azure went NotReady and the JupyterHub became unreachable

   2i2c2022

   Symptoms

   On 30 August 2022 at 11:15 AM Pacific time, the UToronto JupyterHub at jupyter.utoronto.ca stopped responding and users could not reach it at all. The outage was reported through 2i2c's support desk.

   Service outageNode NotReady

   Trigger

   Microsoft Azure rolled out an Ubuntu update to all Ubuntu 18.04 nodes, which triggered a systemd bug that broke networking.

   Root cause

   Breaking change in an upgrade

   Component

   Node operating system image

   Contributing factor

   Limited debug access

   Detection

   The outage was reported at 11:15 AM through 2i2c's Freshdesk support desk because jupyter.utoronto.ca was not responding. At 11:25 AM the customer's representative forwarded the Microsoft advisory on the same ticket, which pointed the team to the cause.

   Remediation

   • Started an upgrade of the cluster's Kubernetes and node versions, which replaced all old nodes with new working ones

   Action items

   • Document how to SSH into the Kubernetes nodes
   • Find a way to be notified of Azure advisories

   Lessons

   Once the cause was known, a single action brought the hub back quickly. The team had no documented way to SSH into its Kubernetes nodes, and the customer's representative saw the Azure advisory and pointed it out on the support ticket, which saved a lot of time.

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