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monitoring(gpu): count monitored GPU pool devices

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This commit is contained in:
jenkins 2026-05-22 03:22:57 -03:00
parent b367c6dea3
commit d21b61f6d9
6 changed files with 51 additions and 53 deletions
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46
scripts/dashboards_render_atlas.py
View File

@ -352,38 +352,36 @@ def nvidia_process_gpu_usage_by_namespace(scope_var):
return f"(({usage}) > 0)" return f"(({usage}) > 0)"
def nvidia_process_gpu_present(): def nvidia_gpu_device_utilization():
return "(count(nvidia_gpu_device_utilization_percent) or on() vector(0))" return "max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))"
def legacy_gpu_util_without_process_exporter():
return f"(({gpu_util_by_node()}) unless on(node) ({nvidia_gpu_device_utilization()}))"
def gpu_capacity_percent(): def gpu_capacity_percent():
process_capacity = "100 * count(nvidia_gpu_device_utilization_percent)" process_count = f"(count({nvidia_gpu_device_utilization()}) or on() vector(0))"
legacy_capacity = ( legacy_count = f"(count({legacy_gpu_util_without_process_exporter()}) or on() vector(0))"
"100 * count(" return f"(100 * ({process_count} + {legacy_count}))"
f"{gpu_util_by_node()}"
") unless on() nvidia_gpu_device_utilization_percent"
)
return f"(({process_capacity}) or ({legacy_capacity}) or on() vector(0))"
def gpu_active_devices_expr(): def gpu_active_devices_expr():
process_active = "sum(nvidia_gpu_device_utilization_percent > bool 0)" process_active = f"(sum(({nvidia_gpu_device_utilization()}) > bool 0) or on() vector(0))"
legacy_active = f"sum(({gpu_util_by_node()}) > bool 0) unless on() nvidia_gpu_device_utilization_percent" legacy_active = f"(sum(({legacy_gpu_util_without_process_exporter()}) > bool 0) or on() vector(0))"
return f"(({process_active}) or ({legacy_active}) or on() vector(0))" return f"({process_active} + {legacy_active})"
def gpu_total_devices_expr(): def gpu_total_devices_expr():
process_total = "count(nvidia_gpu_device_utilization_percent)" process_total = f"(count({nvidia_gpu_device_utilization()}) or on() vector(0))"
legacy_total = f"count({gpu_util_by_node()}) unless on() nvidia_gpu_device_utilization_percent" legacy_total = f"(count({legacy_gpu_util_without_process_exporter()}) or on() vector(0))"
return f"(({process_total}) or ({legacy_total}) or on() vector(0))" return f"({process_total} + {legacy_total})"
def unattributed_gpu_usage(): def unattributed_gpu_usage():
legacy_total = f"(sum({legacy_gpu_util_without_process_exporter()}) or on() vector(0))"
return ( return (
'label_replace((sum(' f'label_replace(({legacy_total} > 0), "namespace", "unattributed", "", "")'
f"{gpu_util_by_node()}"
') or on() vector(0)), "namespace", "unattributed", "", "") '
f"unless on() ({nvidia_process_gpu_present()} > 0)"
) )
@ -1872,9 +1870,9 @@ OVERVIEW_PANEL_DESCRIPTIONS = {
"Postgres Connections Used": "Current Postgres connections; lower leaves room for apps during spikes.", "Postgres Connections Used": "Current Postgres connections; lower leaves room for apps during spikes.",
"Postgres Hottest Connections": "Database with the most active connections; high values identify the pressure source.", "Postgres Hottest Connections": "Database with the most active connections; high values identify the pressure source.",
"Namespace CPU Share": "CPU share by namespace in the selected scope; big slices show who is using compute.", "Namespace CPU Share": "CPU share by namespace in the selected scope; big slices show who is using compute.",
"GPU Pool Used": "Current process-level GPU utilization across the monitored NVIDIA GPU pool.", "GPU Pool Used": "Current GPU utilization across the monitored GPU pool, normalized by active telemetry sources.",
"GPU Active Devices": "Active NVIDIA GPUs compared with total monitored NVIDIA GPUs.", "GPU Active Devices": "Active GPU devices compared with total monitored GPU devices.",
"Namespace GPU Utilization": "Instant NVIDIA process-level GPU utilization normalized to the monitored GPU pool. Host covers non-Kubernetes processes; unused fills remaining capacity; idle appears only at zero activity.", "Namespace GPU Utilization": "Instant GPU utilization normalized to the monitored GPU pool. Process-level namespace slices appear where available; unattributed covers GPU nodes without process attribution.",
"Namespace RAM Share": "Memory share by namespace in the selected scope; big slices show who may drive pressure.", "Namespace RAM Share": "Memory share by namespace in the selected scope; big slices show who may drive pressure.",
"Worker Node CPU": "Worker CPU over time; lower is calmer, sustained high load may need rescheduling.", "Worker Node CPU": "Worker CPU over time; lower is calmer, sustained high load may need rescheduling.",
"Worker Node RAM": "Worker memory over time; lower is safer, sustained high use risks evictions.", "Worker Node RAM": "Worker memory over time; lower is safer, sustained high use risks evictions.",
@ -2924,7 +2922,7 @@ def build_overview():
namespace_gpu_share_expr(gpu_scope), namespace_gpu_share_expr(gpu_scope),
{"h": 9, "w": 8, "x": 8, "y": 23}, {"h": 9, "w": 8, "x": 8, "y": 23},
links=namespace_scope_links("namespace_scope_gpu"), links=namespace_scope_links("namespace_scope_gpu"),
description="Instant NVIDIA process-level GPU utilization normalized to the monitored GPU pool. Host covers non-Kubernetes processes; unused fills remaining capacity; idle appears only at zero activity.", description=OVERVIEW_PANEL_DESCRIPTIONS["Namespace GPU Utilization"],
instant=True, instant=True,
) )
) )
@ -5446,7 +5444,7 @@ def build_gpu_dashboard():
namespace_gpu_share_expr(gpu_scope), namespace_gpu_share_expr(gpu_scope),
{"h": 8, "w": 12, "x": 0, "y": 0}, {"h": 8, "w": 12, "x": 0, "y": 0},
links=namespace_scope_links("namespace_scope_gpu"), links=namespace_scope_links("namespace_scope_gpu"),
description="Instant NVIDIA process-level GPU utilization normalized to the monitored GPU pool. Host covers non-Kubernetes processes; unused fills remaining capacity; idle appears only at zero activity.", description=OVERVIEW_PANEL_DESCRIPTIONS["Namespace GPU Utilization"],
instant=True, instant=True,
) )
) )

2
scripts/tests/test_dashboards_render_atlas.py
View File

@ -171,7 +171,7 @@ def test_overview_uses_readable_quality_power_and_gitops_panels():
assert "nvidia_gpu_device_utilization_percent" in gpu_pool_expr assert "nvidia_gpu_device_utilization_percent" in gpu_pool_expr
assert panels_by_title["GPU Pool Used"]["targets"][0]["instant"] is True assert panels_by_title["GPU Pool Used"]["targets"][0]["instant"] is True
active_targets = panels_by_title["GPU Active Devices"]["targets"] active_targets = panels_by_title["GPU Active Devices"]["targets"]
assert any("nvidia_gpu_device_utilization_percent > bool 0" in target["expr"] for target in active_targets) assert any("nvidia_gpu_device_utilization_percent[5m]" in target["expr"] and "> bool 0" in target["expr"] for target in active_targets)
assert any("count(nvidia_gpu_device_utilization_percent)" in target["expr"] for target in active_targets) assert any("count(nvidia_gpu_device_utilization_percent)" in target["expr"] for target in active_targets)

14
services/monitoring/dashboards/atlas-gpu.json
View File

@ -20,7 +20,7 @@
}, },
"targets": [ "targets": [
{ {
"expr": "(100 * ((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace((sum(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) or on() vector(0)), \"namespace\", \"unattributed\", \"\", \"\") unless on() ((count(nvidia_gpu_device_utilization_percent) or on() vector(0)) > 0))) / clamp_min(((100 * count(nvidia_gpu_device_utilization_percent)) or (100 * count(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on() nvidia_gpu_device_utilization_percent) or on() vector(0)), 1)) or (label_replace(clamp_min(100 - (sum(100 * ((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace((sum(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) or on() vector(0)), \"namespace\", \"unattributed\", \"\", \"\") unless on() ((count(nvidia_gpu_device_utilization_percent) or on() vector(0)) > 0))) / clamp_min(((100 * count(nvidia_gpu_device_utilization_percent)) or (100 * count(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on() nvidia_gpu_device_utilization_percent) or on() vector(0)), 1)) or on() vector(0)), 0), \"namespace\", \"unused\", \"\", \"\") and on() ((sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace((sum(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) or on() vector(0)), \"namespace\", \"unattributed\", \"\", \"\") unless on() ((count(nvidia_gpu_device_utilization_percent) or on() vector(0)) > 0))) or on() vector(0)) > 0)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace((sum(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) or on() vector(0)), \"namespace\", \"unattributed\", \"\", \"\") unless on() ((count(nvidia_gpu_device_utilization_percent) or on() vector(0)) > 0))) or on() vector(0)) == 0))", "expr": "(100 * ((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) / clamp_min((100 * ((count(max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))) or on() vector(0)) + (count(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)))), 1)) or (label_replace(clamp_min(100 - (sum(100 * ((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) / clamp_min((100 * ((count(max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))) or on() vector(0)) + (count(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)))), 1)) or on() vector(0)), 0), \"namespace\", \"unused\", \"\", \"\") and on() ((sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)) > 0)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)) == 0))",
"refId": "A", "refId": "A",
"legendFormat": "{{namespace}}", "legendFormat": "{{namespace}}",
"instant": true "instant": true
@ -72,7 +72,7 @@
"targetBlank": false "targetBlank": false
} }
], ],
"description": "Instant NVIDIA process-level GPU utilization normalized to the monitored GPU pool. Host covers non-Kubernetes processes; unused fills remaining capacity; idle appears only at zero activity." "description": "Instant GPU utilization normalized to the monitored GPU pool. Process-level namespace slices appear where available; unattributed covers GPU nodes without process attribution."
}, },
{ {
"id": 2, "id": 2,
@ -206,7 +206,7 @@
}, },
"targets": [ "targets": [
{ {
"expr": "100 * (sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace((sum(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) or on() vector(0)), \"namespace\", \"unattributed\", \"\", \"\") unless on() ((count(nvidia_gpu_device_utilization_percent) or on() vector(0)) > 0))) or on() vector(0)) / clamp_min(((100 * count(nvidia_gpu_device_utilization_percent)) or (100 * count(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on() nvidia_gpu_device_utilization_percent) or on() vector(0)), 1)", "expr": "100 * (sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)) / clamp_min((100 * ((count(max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))) or on() vector(0)) + (count(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)))), 1)",
"refId": "A", "refId": "A",
"instant": true "instant": true
} }
@ -259,7 +259,7 @@
}, },
"textMode": "value" "textMode": "value"
}, },
"description": "Current process-level GPU utilization across the monitored NVIDIA GPU pool." "description": "Current GPU utilization across the monitored GPU pool, normalized by active telemetry sources."
}, },
{ {
"id": 6, "id": 6,
@ -277,13 +277,13 @@
}, },
"targets": [ "targets": [
{ {
"expr": "((sum(nvidia_gpu_device_utilization_percent > bool 0)) or (sum((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) > bool 0) unless on() nvidia_gpu_device_utilization_percent) or on() vector(0))", "expr": "((sum((max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))) > bool 0) or on() vector(0)) + (sum((((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) > bool 0) or on() vector(0)))",
"refId": "A", "refId": "A",
"legendFormat": "active", "legendFormat": "active",
"instant": true "instant": true
}, },
{ {
"expr": "((count(nvidia_gpu_device_utilization_percent)) or (count(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on() nvidia_gpu_device_utilization_percent) or on() vector(0))", "expr": "((count(max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))) or on() vector(0)) + (count(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)))",
"refId": "B", "refId": "B",
"legendFormat": "total", "legendFormat": "total",
"instant": true "instant": true
@ -329,7 +329,7 @@
}, },
"textMode": "name_and_value" "textMode": "name_and_value"
}, },
"description": "Active NVIDIA GPUs compared with total monitored NVIDIA GPUs." "description": "Active GPU devices compared with total monitored GPU devices."
} }
], ],
"time": { "time": {

14
services/monitoring/dashboards/atlas-overview.json
View File

@ -3659,7 +3659,7 @@
}, },
"targets": [ "targets": [
{ {
"expr": "100 * (sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace((sum(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) or on() vector(0)), \"namespace\", \"unattributed\", \"\", \"\") unless on() ((count(nvidia_gpu_device_utilization_percent) or on() vector(0)) > 0))) or on() vector(0)) / clamp_min(((100 * count(nvidia_gpu_device_utilization_percent)) or (100 * count(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on() nvidia_gpu_device_utilization_percent) or on() vector(0)), 1)", "expr": "100 * (sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)) / clamp_min((100 * ((count(max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))) or on() vector(0)) + (count(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)))), 1)",
"refId": "A", "refId": "A",
"instant": true "instant": true
} }
@ -3719,7 +3719,7 @@
"targetBlank": true "targetBlank": true
} }
], ],
"description": "Current process-level GPU utilization across the monitored NVIDIA GPU pool." "description": "Current GPU utilization across the monitored GPU pool, normalized by active telemetry sources."
}, },
{ {
"id": 49, "id": 49,
@ -3737,13 +3737,13 @@
}, },
"targets": [ "targets": [
{ {
"expr": "((sum(nvidia_gpu_device_utilization_percent > bool 0)) or (sum((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) > bool 0) unless on() nvidia_gpu_device_utilization_percent) or on() vector(0))", "expr": "((sum((max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))) > bool 0) or on() vector(0)) + (sum((((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) > bool 0) or on() vector(0)))",
"refId": "A", "refId": "A",
"legendFormat": "active", "legendFormat": "active",
"instant": true "instant": true
}, },
{ {
"expr": "((count(nvidia_gpu_device_utilization_percent)) or (count(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on() nvidia_gpu_device_utilization_percent) or on() vector(0))", "expr": "((count(max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))) or on() vector(0)) + (count(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)))",
"refId": "B", "refId": "B",
"legendFormat": "total", "legendFormat": "total",
"instant": true "instant": true
@ -3796,7 +3796,7 @@
"targetBlank": true "targetBlank": true
} }
], ],
"description": "Active NVIDIA GPUs compared with total monitored NVIDIA GPUs." "description": "Active GPU devices compared with total monitored GPU devices."
}, },
{ {
"id": 11, "id": 11,
@ -3883,7 +3883,7 @@
}, },
"targets": [ "targets": [
{ {
"expr": "(100 * ((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace((sum(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) or on() vector(0)), \"namespace\", \"unattributed\", \"\", \"\") unless on() ((count(nvidia_gpu_device_utilization_percent) or on() vector(0)) > 0))) / clamp_min(((100 * count(nvidia_gpu_device_utilization_percent)) or (100 * count(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on() nvidia_gpu_device_utilization_percent) or on() vector(0)), 1)) or (label_replace(clamp_min(100 - 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(sum(100 * ((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) / clamp_min((100 * ((count(max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))) or on() vector(0)) + (count(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)))), 1)) or on() vector(0)), 0), \"namespace\", \"unused\", \"\", \"\") and on() ((sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)) > 0)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)) == 0))",
"refId": "A", "refId": "A",
"legendFormat": "{{namespace}}", "legendFormat": "{{namespace}}",
"instant": true "instant": true
@ -3935,7 +3935,7 @@
"targetBlank": false "targetBlank": false
} }
], ],
"description": "Instant NVIDIA process-level GPU utilization normalized to the monitored GPU pool. Host covers non-Kubernetes processes; unused fills remaining capacity; idle appears only at zero activity." "description": "Instant GPU utilization normalized to the monitored GPU pool. Process-level namespace slices appear where available; unattributed covers GPU nodes without process attribution."
}, },
{ {
"id": 13, "id": 13,

14
services/monitoring/grafana-dashboard-gpu.yaml
View File

@ -29,7 +29,7 @@ data:
}, },
"targets": [ "targets": [
{ {
"expr": "(100 * ((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace((sum(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) or on() vector(0)), \"namespace\", \"unattributed\", \"\", \"\") unless on() ((count(nvidia_gpu_device_utilization_percent) or on() vector(0)) > 0))) / clamp_min(((100 * count(nvidia_gpu_device_utilization_percent)) or (100 * count(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on() nvidia_gpu_device_utilization_percent) or on() vector(0)), 1)) or (label_replace(clamp_min(100 - (sum(100 * ((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace((sum(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) or on() vector(0)), \"namespace\", \"unattributed\", \"\", \"\") unless on() ((count(nvidia_gpu_device_utilization_percent) or on() vector(0)) > 0))) / clamp_min(((100 * count(nvidia_gpu_device_utilization_percent)) or (100 * count(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on() nvidia_gpu_device_utilization_percent) or on() vector(0)), 1)) or on() vector(0)), 0), \"namespace\", \"unused\", \"\", \"\") and on() ((sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace((sum(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) or on() vector(0)), \"namespace\", \"unattributed\", \"\", \"\") unless on() ((count(nvidia_gpu_device_utilization_percent) or on() vector(0)) > 0))) or on() vector(0)) > 0)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace((sum(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) or on() vector(0)), \"namespace\", \"unattributed\", \"\", \"\") unless on() ((count(nvidia_gpu_device_utilization_percent) or on() vector(0)) > 0))) or on() vector(0)) == 0))", "expr": "(100 * ((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) / clamp_min((100 * ((count(max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))) or on() vector(0)) + (count(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)))), 1)) or (label_replace(clamp_min(100 - (sum(100 * ((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) / clamp_min((100 * ((count(max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))) or on() vector(0)) + (count(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)))), 1)) or on() vector(0)), 0), \"namespace\", \"unused\", \"\", \"\") and on() ((sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)) > 0)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)) == 0))",
"refId": "A", "refId": "A",
"legendFormat": "{{namespace}}", "legendFormat": "{{namespace}}",
"instant": true "instant": true
@ -81,7 +81,7 @@ data:
"targetBlank": false "targetBlank": false
} }
], ],
"description": "Instant NVIDIA process-level GPU utilization normalized to the monitored GPU pool. Host covers non-Kubernetes processes; unused fills remaining capacity; idle appears only at zero activity." "description": "Instant GPU utilization normalized to the monitored GPU pool. Process-level namespace slices appear where available; unattributed covers GPU nodes without process attribution."
}, },
{ {
"id": 2, "id": 2,
@ -215,7 +215,7 @@ data:
}, },
"targets": [ "targets": [
{ {
"expr": "100 * (sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace((sum(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) or on() vector(0)), \"namespace\", \"unattributed\", \"\", \"\") unless on() ((count(nvidia_gpu_device_utilization_percent) or on() vector(0)) > 0))) or on() vector(0)) / clamp_min(((100 * count(nvidia_gpu_device_utilization_percent)) or (100 * count(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on() nvidia_gpu_device_utilization_percent) or on() vector(0)), 1)", "expr": "100 * (sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)) / clamp_min((100 * ((count(max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))) or on() vector(0)) + (count(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)))), 1)",
"refId": "A", "refId": "A",
"instant": true "instant": true
} }
@ -268,7 +268,7 @@ data:
}, },
"textMode": "value" "textMode": "value"
}, },
"description": "Current process-level GPU utilization across the monitored NVIDIA GPU pool." "description": "Current GPU utilization across the monitored GPU pool, normalized by active telemetry sources."
}, },
{ {
"id": 6, "id": 6,
@ -286,13 +286,13 @@ data:
}, },
"targets": [ "targets": [
{ {
"expr": "((sum(nvidia_gpu_device_utilization_percent > bool 0)) or (sum((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) > bool 0) unless on() nvidia_gpu_device_utilization_percent) or on() vector(0))", "expr": "((sum((max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))) > bool 0) or on() vector(0)) + (sum((((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) > bool 0) or on() vector(0)))",
"refId": "A", "refId": "A",
"legendFormat": "active", "legendFormat": "active",
"instant": true "instant": true
}, },
{ {
"expr": "((count(nvidia_gpu_device_utilization_percent)) or (count(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on() nvidia_gpu_device_utilization_percent) or on() vector(0))", "expr": "((count(max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))) or on() vector(0)) + (count(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)))",
"refId": "B", "refId": "B",
"legendFormat": "total", "legendFormat": "total",
"instant": true "instant": true
@ -338,7 +338,7 @@ data:
}, },
"textMode": "name_and_value" "textMode": "name_and_value"
}, },
"description": "Active NVIDIA GPUs compared with total monitored NVIDIA GPUs." "description": "Active GPU devices compared with total monitored GPU devices."
} }
], ],
"time": { "time": {

14
services/monitoring/grafana-dashboard-overview.yaml
View File

@ -3668,7 +3668,7 @@ data:
}, },
"targets": [ "targets": [
{ {
"expr": "100 * (sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace((sum(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) or on() vector(0)), \"namespace\", \"unattributed\", \"\", \"\") unless on() ((count(nvidia_gpu_device_utilization_percent) or on() vector(0)) > 0))) or on() vector(0)) / clamp_min(((100 * count(nvidia_gpu_device_utilization_percent)) or (100 * count(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on() nvidia_gpu_device_utilization_percent) or on() vector(0)), 1)", "expr": "100 * (sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)) / clamp_min((100 * ((count(max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))) or on() vector(0)) + (count(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)))), 1)",
"refId": "A", "refId": "A",
"instant": true "instant": true
} }
@ -3728,7 +3728,7 @@ data:
"targetBlank": true "targetBlank": true
} }
], ],
"description": "Current process-level GPU utilization across the monitored NVIDIA GPU pool." "description": "Current GPU utilization across the monitored GPU pool, normalized by active telemetry sources."
}, },
{ {
"id": 49, "id": 49,
@ -3746,13 +3746,13 @@ data:
}, },
"targets": [ "targets": [
{ {
"expr": "((sum(nvidia_gpu_device_utilization_percent > bool 0)) or (sum((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) > bool 0) unless on() nvidia_gpu_device_utilization_percent) or on() vector(0))", "expr": "((sum((max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))) > bool 0) or on() vector(0)) + (sum((((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) > bool 0) or on() vector(0)))",
"refId": "A", "refId": "A",
"legendFormat": "active", "legendFormat": "active",
"instant": true "instant": true
}, },
{ {
"expr": "((count(nvidia_gpu_device_utilization_percent)) or (count(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on() nvidia_gpu_device_utilization_percent) or on() vector(0))", "expr": "((count(max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))) or on() vector(0)) + (count(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)))",
"refId": "B", "refId": "B",
"legendFormat": "total", "legendFormat": "total",
"instant": true "instant": true
@ -3805,7 +3805,7 @@ data:
"targetBlank": true "targetBlank": true
} }
], ],
"description": "Active NVIDIA GPUs compared with total monitored NVIDIA GPUs." "description": "Active GPU devices compared with total monitored GPU devices."
}, },
{ {
"id": 11, "id": 11,
@ -3892,7 +3892,7 @@ data:
}, },
"targets": [ "targets": [
{ {
"expr": "(100 * ((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace((sum(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) or on() vector(0)), \"namespace\", \"unattributed\", \"\", \"\") unless on() ((count(nvidia_gpu_device_utilization_percent) or on() vector(0)) > 0))) / clamp_min(((100 * count(nvidia_gpu_device_utilization_percent)) or (100 * count(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on() nvidia_gpu_device_utilization_percent) or on() vector(0)), 1)) or (label_replace(clamp_min(100 - (sum(100 * ((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace((sum(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) or on() vector(0)), \"namespace\", \"unattributed\", \"\", \"\") unless on() ((count(nvidia_gpu_device_utilization_percent) or on() vector(0)) > 0))) / clamp_min(((100 * count(nvidia_gpu_device_utilization_percent)) or (100 * count(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on() nvidia_gpu_device_utilization_percent) or on() vector(0)), 1)) or on() vector(0)), 0), \"namespace\", \"unused\", \"\", \"\") and on() ((sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace((sum(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) or on() vector(0)), \"namespace\", \"unattributed\", \"\", \"\") unless on() ((count(nvidia_gpu_device_utilization_percent) or on() vector(0)) > 0))) or on() vector(0)) > 0)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace((sum(avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) or on() vector(0)), \"namespace\", \"unattributed\", \"\", \"\") unless on() ((count(nvidia_gpu_device_utilization_percent) or on() vector(0)) > 0))) or on() vector(0)) == 0))", "expr": "(100 * ((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) / clamp_min((100 * ((count(max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))) or on() vector(0)) + (count(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)))), 1)) or (label_replace(clamp_min(100 - (sum(100 * ((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) / clamp_min((100 * ((count(max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))) or on() vector(0)) + (count(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)))), 1)) or on() vector(0)), 0), \"namespace\", \"unused\", \"\", \"\") and on() ((sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)) > 0)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") and on() ((sum((((sum by (namespace) (nvidia_namespace_gpu_sm_util_percent{namespace!=\"\",pod!=\"\",$namespace_scope_gpu})) > 0)) or (label_replace(((sum(((avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})) unless on(node) (max by (node,gpu,uuid,model) (last_over_time(nvidia_gpu_device_utilization_percent[5m]))))) or on() vector(0)) > 0), \"namespace\", \"unattributed\", \"\", \"\"))) or on() vector(0)) == 0))",
"refId": "A", "refId": "A",
"legendFormat": "{{namespace}}", "legendFormat": "{{namespace}}",
"instant": true "instant": true
@ -3944,7 +3944,7 @@ data:
"targetBlank": false "targetBlank": false
} }
], ],
"description": "Instant NVIDIA process-level GPU utilization normalized to the monitored GPU pool. Host covers non-Kubernetes processes; unused fills remaining capacity; idle appears only at zero activity." "description": "Instant GPU utilization normalized to the monitored GPU pool. Process-level namespace slices appear where available; unattributed covers GPU nodes without process attribution."
}, },
{ {
"id": 13, "id": 13,