/gke-ai-troubleshooting-tpu-metrics-monitoring
用 GKE 系統指標與 PromQL，監控並排查 GKE TPU 工作負載、節點與節點集區，涵蓋 TensorCore 使用率、TPU 記憶體、節點就緒與維護或搶佔中斷。
- 安裝次數
- 4100
- 專案星數
- 2.2 萬 ★
- 授權
- Apache-2.0
- 專案更新
- 2026-11-02
怎麼裝
npx skills add https://github.com/google/skills --skill gke-ai-troubleshooting-tpu-metrics-monitoring安裝前請先看過原文內容。中文說明是 AI 翻譯，不保證安全。
原文
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.