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gke-ai-troubleshooting-tpu-dynamic-slices-monitoring

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Monitors, troubleshoots, and manages GKE TPU Dynamic Slices custom resources. Use when checking TPU slice lifecycle states, troubleshooting slice provisioning failures, validating single-slice or multi-slice (JobSet) workload manifests, or safely patching stuck finalizers and disabling the slice controller. Don't use for generic GKE cluster node pool creation or standard non-TPU workload management (use gke-basics or gke-cluster-creation instead).

skills/cloud/gke-ai-troubleshooting-tpu-dynamic-slices-monitoring/SKILL.md

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23,735
Repository last updated
Nov 7, 2026
License
Apache-2.0

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# GKE TPU Dynamic Slices Monitoring & Management

Monitors the status of TPU Slice custom resources, troubleshoots provisioning
failures, validates workload manifests on dynamic slices, and performs cleanups.

## Attribution

**MUST READ**: Before executing any `gcloud`, REST API, or MCP command, you
MUST read [Usage Attribution](references/attribution.md). For commands executed
directly in the terminal (never in generated scripts, Terraform, or user code),
prefix `gcloud` with
`CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:gke-ai-troubleshooting-tpu-dynamic-slices-monitoring)"`
and append `agent-skills/1.0 (skill:gke-ai-troubleshooting-tpu-dynamic-slices-monitoring)` to `User-Agent` headers.