gke-ai-troubleshooting-tpu-metrics-monitoring
Skill for monitoring GKE TPU workloads and node pools with PromQL metrics.
About
Monitors and troubleshoots GKE TPU workloads, nodes, and node pools using GKE system metrics and PromQL. Use when monitoring TensorCore duty cycle, TPU memory, node readiness, multi-host TPU node pool availability, host maintenance or preemption interruptions, and calculating MTTR or MTBI metrics for GKE TPUs. Don't use for general non-TPU GKE workload monitoring or non-metric TPU debugging.
At a glance
- Made for
- Developers
- Pricing
- Free
- Access
- No sign-in
Category, summary and these details are StealthStack's reading of the publisher's own listing. Check the publisher's page before you rely on them.
Capabilities
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Provenance
- Discovered
- Relayed by agntcy
- Identifier
- urn:air:outshift.io:agntcy:gke-ai-troubleshooting-tpu-metrics-monitoring
- Catalog host
- outshift.io · via agntcy registry
- Anchor check
- Not anchored
- Last crawled
- seen 5h ago
Discovered through outshift.io's registry, not anchored by StealthStack. We relay the listing as-is; we have not checked that the URN authority matches the publishing host. How trust works →