grafana/osdc: add hf-cache OOM-killed-mounts panel#916
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Ah, forgot to link it, It's here, the bottom chart. I'm in the middle of adding highlight for this one. The threshold would be flat 0 |
jathu
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Counts nodes whose per-node hf-cache rclone mount was OOM-killed (kube_pod_container_status_last_terminated_reason, container=rclone, reason=OOMKilled) — a broken node-wide /mnt/hf_cache FUSE mount. Surfaces the small-tier OOM stat that previously required manual kubectl queries.
…#917) pytorch#917 raised the CPU catch-all and 1-GPU reserves to 640Mi in deploy.sh but the smoke test's MOUNT_TIERS still asserted 256Mi/512Mi, failing 'deploy-fast / Smoke tests'. Sync the smoke-test expectations to deploy.sh.
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…+ soft-capped axis - thresholds: green@0, red@1 (line+area) so any OOM'd mount (>=1 node) turns red - query 'or vector(0)': no series (0 OOM) renders as 0/green instead of 'No data' - decimals: 0 so the y-axis shows integers only (node counts) - axisSoftMax: 5 keeps the calm-view axis readable for a few nodes, but still expands for a real wave (no clipping / no understating an incident) palette-classic-by-name kept for per-cluster series.
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Adds a timeseries panel hf-cache Mounts Broken by rclone OOM [cluster] to the OSDC dashboard.
hf-cache runs one rclone DaemonSet pod per node serving /mnt/hf_cache, so an OOMKilled rclone container = a broken node-wide FUSE mount (usually wedged in CreateContainerError until the node is recycled). This surfaces, per cluster, the small-tier OOM count that until now needed manual kubectl queries.
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