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Cases17 cases

11 to 15 of 17

  1. Symptoms

    Right after a pull request to the infrastructure-as-code repository was merged, every API endpoint of one InfluxDB Cloud production cluster began returning 404 errors. Writes and reads failed alike: no one could collect data, scheduled tasks failed to run and external queries did not work.

    Trigger

    A merged pull request whose rendered YAML added a new Argo CD Application and AppProject that an automation error had named app01-cluster01, the name of the existing production Application, instead of app02-cluster01; reviewers did not notice the app01 and app02 difference.

    Root cause
    Component
    Contributing factor
    Detection

    Monitoring and alerting did not detect the issue right away, so the team's first response was to try to roll the change back rather than plan a recovery. The write-up does not say how the team found out.

    Remediation
    • stopped the revert of the merged pull request
    • restored the etcd metadata cluster
    • recreated the missing Kubernetes objects so the retained PersistentVolumes became available, then recreated the StatefulSets
    • restored the Zookeeper volumes from an hourly Velero backup
    • rebuilt the Kafka StatefulSet one pod at a time with health and readiness checks disabled
    • accepted writes into the Kafka write-ahead log and scaled up the write path with more replicas and higher memory requests and limits
    • recreated the storage pods, which downloaded data from object storage, reindexed it and replayed the write-ahead log
    • re-enabled Argo CD, queries, dashboards and scheduled tasks, restored replica counts and ran final QA checks
    Action items
    • Write runbooks for restoring state when Kubernetes objects such as PersistentVolumeClaims are deleted but the data on the underlying volumes is preserved
    • Set every volume in every environment to retain data when its PersistentVolumeClaim is deleted
    • Improve the process for handling public-facing incidents
    • Store generated YAML as one object per file, so an overwrite of an existing object shows up as such in review
    • Detect duplicate objects when generating YAML and warn before review, treating objects with the same group, namespace and name as the same even when the apiVersion string differs
    • Add the Argo CD Prune=false annotation to all stateful resources and to Namespace objects managed by Argo CD
    • Set FailOnSharedResource=true on Argo CD Applications so Argo CD fails before changing an object another Application manages or managed
    Lessons

    The biggest gap was that monitoring did not notice the deletion quickly, which pushed the team toward a reflex rollback; in a stateful system a revert can create a new, empty instance instead of bringing the old one back. Retained volumes and clients that retry writes are what kept data loss at zero. Rendering many objects into one file let an overwrite of an existing object look like an addition, so generated configuration needs one object per file and duplicate detection that compares objects the way Kubernetes does. Stateful resources need protection from pruning, and that protection must cover their Namespace too, or deleting the namespace removes everything inside it.

  2. Symptoms

    After the switch to Traefik v2, functional tests indicated that everything was fine, and this was reported on Slack at 08:44 UTC. The first sign of trouble came at 09:26 UTC, when a developer reported a high count of HTTP 307 redirects, especially on the Okta service. At 09:32 UTC the team learned that the online booking system was down.

    Trigger

    At 08:22 UTC the AWS load balancers were updated to send requests to the new Traefik v2 reverse proxy as part of the migration away from Traefik v1.

    Root cause
    Component
    Contributing factor
    Detection

    A developer reported a high count of HTTP 307 redirects, in particular on the Okta service, at 09:26 UTC, 64 minutes after the change; six minutes later the team was told the online booking system was down. The functional tests run after the switch had not caught it.

    Remediation
    • Rolled back the switch to Traefik v2, putting rollback ahead of investigation because of how critical the booking system is
    Action items
    • Consider how critical announcements can be made more visible
    • Consider whether the ALBs used for testing should have been shared with the teams so they could test their own scenarios
    Lessons

    Cloud Engineering cannot test every application scenario on its own, even after testing its own applications for weeks. A header that changes value behind a new ingress controller, here x-forwarded-proto going from https to http, can break an authentication flow while basic functional tests still pass. DFDS asks whether diffing request headers before and after the migration would have shown the problem in advance.

  3. Symptoms

    At 15:35 EST on 11 March 2021 the CircleCI web UI and runner.circleci.com became unavailable. The API, which uses a separate ingress point, stayed reachable, and builds kept running.

    Trigger

    An update deployed to a test Kubernetes cluster also removed Traefik and Calico resources from CircleCI's primary production cluster.

    Root cause
    Component
    Contributing factor
    Detection

    CircleCI engineers were alerted and began investigating. The status page posted its first notice at 20:45 UTC.

    Remediation
    • restored Traefik in the production cluster
    • restored Calico in the production cluster, after which pods served customer requests again
    Action items
    • Improve network-level documentation and runbooks to cover every layer of the Kubernetes networks
    • Improve monitoring and alerting for the network infrastructure
    • Add guardrails that isolate the production and staging clusters so they cannot interfere with each other
    Lessons

    A deployment path that can reach both a test cluster and production can remove shared networking components from production. When the ingress controller and the CNI are both affected, restoring the ingress alone is not enough: engineers had to find the link between Calico and Traefik and restore Calico before pods served traffic again. Time went to DNS and AWS red herrings because nothing linked the outage to the test deployment; CircleCI's answer is better network runbooks, network alerting and guardrails between clusters.

  4. Symptoms

    Jetstack was upgrading the master of a development cluster that many teams use to test their apps during the working day, a regional Google Kubernetes Engine (GKE) cluster in europe-west1. The upgrade ran through Jetstack's GKE Terraform pipeline and did not finish before the 20-minute Terraform timeout, while the GKE console still showed the cluster as upgrading.

    Trigger

    A planned master upgrade of the shared development cluster. The same upgrade had been done on another pre-production environment earlier that day, and no API downtime was expected.

    Root cause
    Component
    Contributing factor
    Detection

    The first sign was the master upgrade missing the 20-minute Terraform timeout; re-running the pipeline returned the kube-apiserver unhealthy error. The cause was identified with the help of Google Support.

    Remediation
    • Deleted the OPA ValidatingAdmissionWebhook resource during a window of API server access
    Action items
    • Limit the OPA webhook to the namespaces where the policy applies and development teams have access
    • Enable the webhook only for Ingress and Service resources, the only resources the policy validates
    • Add a liveness probe so OPA is restarted when it stops responding, and update the OPA documentation
    • Follow the open upstream Kubernetes issue about this behaviour
    Lessons

    With alerting on API server response times, the team might have seen CREATE and UPDATE requests slow down across the board as soon as the OPA-backed webhook was first deployed. Every workload needs probes: OPA looked so simple to deploy that the team skipped the Helm chart, which adds a livenessProbe for the admission controller containers among other adjustments to the tutorial configuration. Others had hit the same problem, and an upstream issue to improve it was still open.

  5. Symptoms

    The daily NRE Labs statistics showed lesson activity collapsing, and kubectl could not reach the cluster: `The connection to the server 1.2.3.4:6443 was refused - did you specify the right host or port?`

    Trigger

    Unknown. The liveness probe that kubeadm writes into the etcd static pod manifest (an `etcdctl get foo` against 127.0.0.1:2379, failureThreshold 8, timeoutSeconds 15) started failing. The author first suspected GCP maintenance the night before, but could not reproduce the probe failure by hand and does not know why it began.

    Root cause
    Component
    Contributing factor
    Detection

    The author saw lesson activity drop in the daily NRE Labs statistics during his morning routine.

    Remediation
    • removed the liveness probe section from the kubeadm-generated etcd static pod manifest and applied it between etcd restarts
    Action items
    • Add monitoring, especially for the single-node master
    • Run a basic "down for maintenance" page in Google Cloud Functions that points to Twitter for updates, to redirect to during outages
    Lessons

    Because all of the infrastructure is managed as code, the cluster could be rebuilt quickly, but destroying it before finding the cause also destroyed the evidence. Monitoring matters, especially with a single-node master. Read the restart counts in kubectl output, not just the Running status. Remember the fundamentals instead of expecting the issue to be more complicated than it is, and do not let the urgency of an outage push you into hasty decisions. Put up a maintenance page instead of leaving the site failing halfway.

Check your cluster for this

These 17 cases involve Kubernetes API server and Ingress controller. 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.

By root cause7

Capacity exhaustion4 cases

  1. IL-0102 CoreDNS pods on a production EKS cluster ran out of memory under a burst of new pods, endpoints and nodes, taking down the Buildkite web UI, APIs and job dispatch
  2. IL-0170 During a Lunar New Year event, traffic more than three times normal filled the nf_conntrack table on the EKS node running the Istio ingress gateway, dropping packets and taking down Backpackr's web and app services
  3. IL-0085 A control plane node of Magic Pages' Kubernetes cluster on Hetzner Cloud ran out of memory, the cluster's own calls then used up the Hetzner API rate limit, and all customer websites were down for about 7.5 hours
  4. IL-0040 Parallel Helm installs saturated small gp2 root volumes on a kops cluster and left all three workers NotReady with the kubelet or Docker down

Dependency failure1 case

Organisation
  1. IL-0133 A storm shut down cooling at Nebius's us-central1 data center, and a disk hot-plug bug kept Managed Kubernetes control planes down for hours after power returned
    Nebius2026

Faulty deployment2 cases

  1. IL-0188 Rolling updates on EKS returned 502 errors for about 30 seconds because Kubernetes deleted old pods as soon as new pods passed readiness, before the ALB had marked the new pod targets healthy
  2. IL-0086 A deployment meant for a CircleCI test Kubernetes cluster also removed Traefik and Calico resources from the production cluster, taking down the CircleCI UI and runner.circleci.com

Software defect2 cases

  1. IL-0138 A failed Nvidia driver build left broken kernel packages on the only Kubernetes master node, which hit a kernel panic on reboot after a power outage and took the homelab cluster down for six days
  2. IL-0003 linkerd lost Kubernetes service discovery after an etcd reconfiguration, and restarting every linkerd instance turned failed payments into a full platform outage
    Monzo2017

Configuration change5 cases

  1. IL-0005 A new telemetry service overloaded the Kubernetes API servers of large clusters and broke DNS-based service discovery for all OpenAI services
    OpenAI2024
  2. IL-0116 A CNI configuration change incompatible with a hardware variant that exists only in production cut network connectivity in an OpenAI GPU cluster and took text-davinci-003 fully down
    OpenAI2023
  3. IL-0009 A duplicated generated name made Argo CD replace the InfluxDB Cloud production Application and delete the whole production environment
  4. IL-0111 Switching the main Kubernetes ingress controller from Traefik v1 to v2 stopped X-Forwarded headers being passed, which broke the Okta login flow for every service using Okta and stopped DFDS online bookings for over an hour
    DFDS2021
  5. IL-0008 An unresponsive OPA validating webhook crash-looped the API server during a GKE master upgrade, and node auto-repair then recreated every node

Breaking change in an upgrade2 cases

Organisation
  1. 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
  2. IL-0060 Kubernetes 1.24 upgrade removed the master node label that Calico route reflectors selected on, dropping all pod routes and taking Reddit down for 314 minutes
    Reddit2023

unknown1 case

Organisation
  1. IL-0059 Single-master Kubernetes control plane kept dying because the kubelet restarted a healthy etcd on a failing kubeadm liveness probe