Incident Library
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Cases11 cases

10 to 11 of 11

  1. Symptoms

    During a cluster upgrade, all traffic to Pusher's products stopped. The speaker recalls that requests were failing with 500 errors.

    Trigger

    A cluster upgrade replaced nodes, so the bridge pods restarted and loaded a ConfigMap that had been changed three or four weeks earlier.

    Root cause
    Component
    Contributing factor
    Action items
    • Build and run Wave so that changes to ConfigMaps and Secrets roll out new pods immediately
    Lessons

    A ConfigMap change does not restart the pods that use it, so for an application that cannot reload its configuration the change takes effect only when pods are next replaced, possibly weeks later during unrelated work. Tie configuration to the pod template so a bad change fails at the moment it is made.

  2. Symptoms

    The NU.nl development team got reports that several services on one of its Kubernetes clusters behaved erratically: occasional error pages, slow responses and timeouts. The affected services were mostly internal tools and dashboards.

    Trigger

    A new ElastAlert rule, deployed shortly before from the command line, that fired if the Cloudfront-* Elasticsearch indexes stopped receiving documents; those indexes take a few million requests per hour, and the rule made ElastAlert's memory grow without bound.

    Root cause
    Component
    Contributing factor
    Detection

    Users reported error pages, slow responses and timeouts from several services; no alert fired.

    Remediation
    • terminated the NotReady nodes one by one so the auto-scaling group replaced them (the new nodes also went NotReady, but Prometheus and Grafana landed on a stable node)
    • found the ElastAlert pods' memory growth on the Grafana pod memory dashboard
    • fixed the ElastAlert problem that caused the memory growth
    Action items
    • Define alerts on resource usage such as CPU, memory and disk space
    • Keep researching an alerting strategy that combines Elasticsearch, Prometheus Alertmanager and New Relic
    • Consider exporting metrics out of the cluster and running Grafana outside it, on EC2 or a separate Kubernetes cluster
    • Either visualise the important metrics in the ELK stack or make Prometheus and Grafana more available, and improve the metrics strategy
    • Set resource limits for ElastAlert through the Helm values
    • Configure namespaces with default memory requests and limits
    • Isolate customer-facing workloads from build, logging and monitoring workloads (a dedicated node group, or later a separate tools cluster)
    • Deploy everything through automation such as Jenkins pipelines, and consider a GitOps approach
    • Deploy through a pipeline that includes a smoke test step
    • Make Kubernetes and cloud infrastructure work part of the team's sprints, picked up by all team members while pairing with more experienced members, and hold workshops that go deep into specific topics
    Lessons

    Fixing the root cause covers only a small part of what an incident can teach; the chain of smaller failures around it is where most of the learning is. A pod without a memory limit can take whole nodes down, so limits need defaults at the namespace level. Monitoring that runs inside the cluster it watches goes blind with it. Changes installed by hand from the command line leave the rest of the team without a record of what changed.

Check your cluster for this

These 11 cases involve Cloud load balancer and Kubernetes API server. 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 cause1

Configuration change11 cases

  1. IL-0179 With DEBUG logging and synchronous log output, a high-traffic service filled the 64 KB stdout pipe, so request threads blocked in write() while holding database connections and HikariCP ran dry, failing requests in 30-second bursts
  2. IL-0200 Newly provisioned Kubernetes nodes ran an incompatible etcd version and broke cluster consensus in several GitHub production clusters, causing 5XX errors on Git operations and page loads
    GitHub2026
  3. IL-0122 An invalid value in a configuration shared by several ChatGPT services put pods into crash loops and raised error rates
    OpenAI2025
  4. 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
  5. IL-0118 A global change to Kubernetes namespace labels made the networking layer recompute metadata and overwhelmed the control planes of three of OpenAI's largest GPU clusters
    OpenAI2024
  6. IL-0009 A duplicated generated name made Argo CD replace the InfluxDB Cloud production Application and delete the whole production environment
  7. IL-0208 A GitLab chart bump that renamed Kubernetes Service and Deployment ports made the GCP load balancer reconfigure, and GitLab.com slowed down and returned intermittent 50x errors
    GitLab2022
  8. IL-0105 Replacing the AWS VPC CNI during a Terraform refactoring detached the ALB target groups, and every service in the Kubernetes cluster returned 503
    DFDS2021
  9. IL-0004 A new default pod priority let a new Cortex cluster preempt every production ingester in a cascade, taking Grafana Cloud Hosted Prometheus down
  10. IL-0066 Broken ConfigMap change lay dormant for weeks, then took down Pusher's edge proxy when a cluster upgrade replaced its pods
    Pusher2019
  11. IL-0035 Worker nodes went NotReady after a new ElastAlert rule without memory limits used up node memory
    NU.nl2019