Incident Library
Applied filters Root causeCapacity exhaustionSymptomIP address exhaustionFactorUnknown limitClear allEvery case under the filters, with no sentence; newest first.
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  • Root cause
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  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

This case involves Cluster autoscaler and Node pool. 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.

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