Individual skill
gke-workload-scaling-troubleshooting
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.
skills/cloud/gke-workload-scaling-troubleshooting/SKILL.md
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- Last checked
- Nov 9, 2026
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- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
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- googlecloud Repository topic
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# GKE Workload Scaling Troubleshooting Skill
Use this skill to systematically diagnose and resolve **HorizontalPodAutoscaler
(HPA) failures** on GKE — metrics reported as `<unknown>`, `FailedGet*` events,
missing resource requests, custom/external metrics-pipeline breakage, HPA that
refuses to scale up or down, scale-to/from-zero issues, and slow HPA reaction on
large clusters. This skill operates non-interactively and enforces a read-only
diagnostics boundary before proposing manifest or configuration corrections.
> For configuring HPA/VPA objects and scaling **best practices**, use the
> `gke-workload-scaling` skill instead. This skill focuses on **failure
> diagnosis**.
## Attribution