Gke Workload Scaling Troubleshooting
by google55b4e13eba6dNo license21K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated today
Diagnoses GKE HorizontalPodAutoscaler (HPA) failures — metrics showing as <unknown>, FailedGetResourceMetric / FailedGetScale / FailedComputeMetricsReplicas events, missing Pod resource requests, custom/external metrics-pipeline breakage (FailedGetExternalMetric / FailedGetCustomMetric, unavailable metrics adapter, control-plane firewall blocking the adapter), HPA that won't scale up or down (tolerance / stabilization window / unavailable rate metrics), scale-to/from-zero problems, and slow HPA reaction on large clusters. Use when an HPA isn't scaling a workload as expected or reports metric errors. Don't use for configuring or authoring new HPA/VPA objects or scaling best practices (see the gke-workload-scaling skill), or for Cluster Autoscaler / node-pool sizing.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| SKILL.md | 17.1 KB | text/markdown |
Source and attribution
Source:google/skillsinskills/cloud/gke-workload-scaling-troubleshootingat commit55b4e13
License: No license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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