Incident Library
  • Root cause
  • Component
  • Symptom
  • Contributing factor
  • Case

Cases6 cases

5 to 6 of 6

  1. Symptoms

    At 18:56 PDT on 23 June 2022 (01:56 UTC on 24 June) several models went offline at once: some fine-tuned curie and davinci models, the Codex beta models code-davinci-001 and code-cushman-001, the legacy GPT models curie, babbage and ada, and all Embeddings models.

    Trigger

    A destructive operation on one of the three production clusters, caused by human error that the existing safeguards did not catch, took the whole cluster offline.

    Root cause
    Component
    Contributing factor
    Remediation
    • re-allocated the models from the lost cluster to the remaining two clusters
    • rebuilt the VPN link with Azure support after losing the connection to AKS during cluster setup
    • built workarounds with Azure support after losing the connection to Azure Private Link
    • tore down the cluster and rebuilt it from scratch after the upgraded Kubernetes version broke the ingress
    • moved traffic back into the rebuilt cluster between 05:30 and 06:30 PDT
    Action items
    • Add checks and locks so that this and similar production-critical infrastructure cannot be modified by accident
    • Add better visibility into the operations being performed and make parts of the system more lexicographically distinct
    • Keep working with Azure on the AKS network connectivity issues so they do not disrupt new cluster operations
    • Update playbooks with the new cluster failure modes and change the setup steps for new clusters and infrastructure
    • Upgrade Kubernetes systematically and set aside time so the clusters do not fall behind again
    • Shard fine-tuned models across multiple clusters and work towards more automatic cross-cluster replication
    • Distribute and replicate Azure Blob Storage so fine-tuned models load faster and more reliably
    • Finish rolling out node-to-node caching to relieve Azure Blob Storage bottlenecks
    • Change how model weights are stored so they are more efficient and faster to load
    Lessons

    Losing one of three clusters exhausted the GPU headroom, and GPUs could not be added on short notice, so full recovery depended on bringing the same cluster back. Rebuilding it exposed a deferred Kubernetes upgrade: the newer version broke the ingress, and because AKS cannot downgrade there was no way back except a full rebuild. Recovering many large models at once is limited by the bandwidth of the storage they load from, and the caches that normally hide this do not help when everything moves to a different cluster.

  2. Symptoms

    At 18:27 on 21 September 2020 the Cloud Platform team detected that some services running on the live-1 production cluster had gone down, and some users could not reach them. The incident was declared at 18:40.

    Trigger

    A script for deleting a test cluster was triggered while the kube context was pointing at the live-1 production cluster instead of the test cluster.

    Root cause
    Component
    Contributing factor
    Detection

    The first detection was at 18:27, and the incident was declared 13 minutes later, at 18:40.

    Remediation
    • restored the default ingress controller together with external-dns and kiam, which it depends on
    • corrected the owner field in the Formbuilder Route 53 TXT records so external-dns pointed their A records at the new NLB
    • restored the remaining components with a targeted apply
    • ran the apply pipeline to restore all certificates, ServiceMonitors and Prometheus rules from the environment repository
Check your cluster for this

These 6 cases involve Ingress controller and Cloud load balancer. 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 cause2

Operator error4 cases

  1. IL-0095 An engineer deleted the prod namespace of the LEAP JupyterHub while believing the kubeconfig pointed at a new cluster, and the hub was down for about an hour
    2i2c2025
  2. IL-0207 A routine task run from an engineer's local environment switched to production and deleted GitLab.com's Consul release, so Patroni lost Consul and GitLab.com returned 5xx errors to all traffic
    GitLab2022
  3. IL-0115 One of OpenAI's three production AKS clusters went offline through a human error, and rebuilding it took 10½ hours because an AKS Kubernetes upgrade broke the ingress and AKS cannot be downgraded
    OpenAI2022
  4. IL-0089 A test cluster deletion script run with the kube context pointing at the live-1 production cluster deleted its ingress controller, monitoring, logging, cert-manager, kiam and external-dns

Configuration change2 cases

  1. IL-0192 A Crossplane composition merge-policy change for a TLS policy update switched Kubernetes Services from LoadBalancer to ClusterIP and deleted the load balancers behind about 25% of Grafana Cloud services
  2. IL-0009 A duplicated generated name made Argo CD replace the InfluxDB Cloud production Application and delete the whole production environment