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By google

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

google2.7k installs

Diagnose and clean up stuck GKE TPU slices.

What it does

Diagnoses GKE TPU slice failures, validates workload manifests, and helps resolve stuck slices or disable their controller.

When to use it

Use for TPU slice lifecycle checks, provisioning failures, workload manifest validation, stuck finalizers, or disabling the slice controller; not generic cluster creation or non-TPU workloads.

How to use it

Ask it to inspect or troubleshoot a TPU slice; it gathers cluster context, diagnoses the state, and provides recommendations, requesting confirmation before destructive fixes.

Uses

Good to know

  • cannot be undone: GKE

Latest review

What you need · 4

Cloud Logging must be enabled for the project.

Requires kubectl configured to access the GKE cluster.

Requires gcloud configured to access the GKE cluster.


Access · 1

This skill

GKE

Write

Removes slices and disables their controller (irreversible)