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

Cases11 cases

11 to 11 of 11

  1. Symptoms

    A colleague wrote in Slack that his application was taking a long time to deploy. A deployment that normally finishes in minutes had been running for about an hour: about half of the new pods were running and serving traffic, and the other half were Pending.

    Trigger

    The cluster reaching 256 nodes, the most its /16 pod secondary range could hold at 256 addresses per node; every further node creation failed.

    Root cause
    Component
    Contributing factor
    Detection

    A colleague reported in Slack that a deployment was slow; the pending pods' events and the cluster autoscaler status ConfigMap showed the exhausted IP space.

    Remediation
    • lowered the maximum pods per node on selected node pools, cutting IP consumption by about 30%
    • moved some node pools to larger instance types
    Action items
    • Lower the maximum pods per node on node pools that do not run many pods
    • Use larger instance types in some node pools
    Lessons

    In a VPC-native GKE cluster the number of nodes, not the number of pods, uses up the pod range: by default each node reserves 256 addresses, so even a /16 is full at 256 nodes. Maximum pods per node and node size are the practical levers; larger nodes pack better but take more pods down when they fail.

Check your cluster for this

These 11 cases involve Node pool and Container memory limit. 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

Capacity exhaustion11 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-0155 Some DOKS clusters in NYC1 saw intermittent DNS timeouts and NodeNotReady events because CoreDNS ran on shared-CPU Droplet worker nodes
  3. IL-0100 PostHog's feature flags pods were packed onto Kubernetes nodes that were too small for their CPU requests, and CPU saturation above 90% caused three outages in ten days through Redis overload, connection pool exhaustion and slow queries
  4. IL-0082 Losing one CoreDNS pod during a planned EKS node reroll overloaded the remaining CoreDNS pods, causing DNS timeouts and errors across multiple services at RebelMouse
  5. IL-0099 User servers on 2i2c's Earthscope hub took over 15 minutes to start and kernels were killed during a workshop, because a profile option guaranteed 8 GB of memory with no limit on 32 GB nodes
    2i2c2025
  6. IL-0027 All CoreDNS pods landed on one node, the node ran out of memory, and DNS for the whole service went down
  7. IL-0016 Prometheus on the live cluster ran out of memory and was OOMKilled, and the monitoring node it ran on went NotReady
  8. IL-0070 Critical pods on core nodes evicted when Prometheus began scraping about 200 nodes after a dask-gateway scale-up
    2i2c2023
  9. IL-0094 Student pods filled the shared nodes of a JupyterHub cluster and starved the hub's core pods, freezing the hub
    2i2c2020
  10. IL-0013 The conntrack table filled up on downsized GKE nodes and a high-traffic aggregation proxy saw climbing connection resets
  11. IL-0015 A GKE cluster's /16 pod address range ran out at 256 nodes, leaving new pods Pending and node scale-ups failing