5db6ec3e1f
Pod-level panels on the efficiency dashboard and DCGM-level panels on the performance dashboard ignored the $namespace template variable, so changing it left the visualizations unchanged. Add the filter to each query. Performance-side queries use the `$namespace|` empty-tolerant form so host-level DCGM series without a namespace label remain visible when a specific namespace is selected. Signed-off-by: Arsolitt <arsolitt@gmail.com>
976 lines
21 KiB
JSON
976 lines
21 KiB
JSON
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"uid": "gpu-performance",
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"title": "GPU Performance",
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"gpu",
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"expr": "cluster:gpu_count:total",
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"expr": "cluster:gpu_count:allocated",
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{
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"expr": "cluster:gpu_util:avg",
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"refId": "A"
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{
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"expr": "cluster:gpu_power_watts:sum",
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{
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"type": "row",
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{
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"expr": "DCGM_FI_DEV_GPU_UTIL{Hostname=~\"$Hostname\", namespace=~\"$namespace\"}",
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"refId": "A"
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}
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{
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"type": "timeseries",
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"id": 12,
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"targets": [
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{
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"expr": "DCGM_FI_PROF_PIPE_TENSOR_ACTIVE{Hostname=~\"$Hostname\", namespace=~\"$namespace\"} * 100",
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"legendFormat": "{{Hostname}}/{{gpu}} {{pod}}",
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"refId": "A"
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}
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],
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"title": "Tensor Pipe Active (realistic load for LLM/AI)",
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"type": "prometheus",
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"uid": "$ds_prometheus"
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{
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"type": "timeseries",
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"id": 13,
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"targets": [
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{
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"expr": "DCGM_FI_PROF_GR_ENGINE_ACTIVE{Hostname=~\"$Hostname\", namespace=~\"$namespace\"} * 100",
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"legendFormat": "{{Hostname}}/{{gpu}} {{pod}}",
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"refId": "A"
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}
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{
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"type": "timeseries",
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"targets": [
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{
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"expr": "DCGM_FI_DEV_MEM_COPY_UTIL{Hostname=~\"$Hostname\", namespace=~\"$namespace\"}",
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"legendFormat": "{{Hostname}}/{{gpu}} {{pod}}",
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"refId": "A"
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}
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}
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},
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{
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"type": "row",
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"title": "Memory",
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"panels": []
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{
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"type": "timeseries",
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"targets": [
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{
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"expr": "DCGM_FI_DEV_FB_USED{Hostname=~\"$Hostname\", namespace=~\"$namespace\"} * 1048576",
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"legendFormat": "{{Hostname}}/{{gpu}} {{pod}}",
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"refId": "A"
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{
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"expr": "DCGM_FI_DEV_FB_FREE{Hostname=~\"$Hostname\", namespace=~\"$namespace|\"} * 1048576",
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{
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"type": "row",
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{
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"targets": [
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{
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