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monitoring: fix gpu share and overview legends

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This commit is contained in:
jenkins 2026-05-16 05:58:59 -03:00
parent 3492b6026e
commit 4238262ad3
6 changed files with 31 additions and 19 deletions
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17
scripts/dashboards_render_atlas.py
View File

@ -259,14 +259,17 @@ def gpu_util_by_hostname():
return 'label_replace(' + gpu_util_by_node() + ', "Hostname", "$1", "node", "(.*)")'
GPU_RESOURCE_REGEX = "nvidia(_com_|[.]com/)gpu.*"
def gpu_node_labels():
return 'kube_node_labels{label_accelerator=~".+"} or kube_node_labels{label_jetson="true"}'
return f'max by (node) (kube_node_status_allocatable{{resource=~"{GPU_RESOURCE_REGEX}"}} > bool 0)'
def gpu_requests_by_namespace_node(scope_var):
return (
"sum by (namespace,node) ("
f'kube_pod_container_resource_requests{{resource=~"nvidia.com/gpu.*",{scope_var}}} '
f'kube_pod_container_resource_requests{{resource=~"{GPU_RESOURCE_REGEX}",{scope_var}}} '
"* on(namespace,pod) group_left(node) kube_pod_info "
f"* on(node) group_left() ({gpu_node_labels()})"
")"
@ -278,7 +281,7 @@ def gpu_usage_by_namespace(scope_var):
total_by_node = f"sum by (node) ({requests_by_ns})"
return (
"sum by (namespace) ("
f"({requests_by_ns}) / clamp_min({total_by_node}, 1) "
f"({requests_by_ns}) / on(node) group_left() clamp_min({total_by_node}, 1) "
f"* on(node) group_left() ({gpu_util_by_node()})"
")"
)
@ -289,7 +292,7 @@ def jetson_gpu_usage_by_namespace(scope_var):
total_by_node = f"sum by (node) ({requests_by_ns})"
return (
"sum by (namespace) ("
f"({requests_by_ns}) / clamp_min({total_by_node}, 1) "
f"({requests_by_ns}) / on(node) group_left() clamp_min({total_by_node}, 1) "
f"* on(node) group_left() {jetson_gpu_util_by_node()}"
")"
)
@ -1939,7 +1942,7 @@ def build_overview():
},
],
legend_display="table",
legend_placement="right",
legend_placement="bottom",
links=overview_link("atlas-power"),
),
stacked=False,
@ -2209,8 +2212,8 @@ def build_overview():
{"expr": f"{ARIADNE_TASK_ATTEMPTS_SERIES} or on() vector(0)", "refId": "A", "legendFormat": "Attempts"},
{"expr": f"{ARIADNE_TASK_FAILURES_SERIES} or on() vector(0)", "refId": "B", "legendFormat": "Failures"},
],
legend_display="table",
legend_placement="right",
legend_display="list",
legend_placement="bottom",
links=overview_link("atlas-testing"),
)
ariadne_volume["fieldConfig"]["overrides"] = fixed_color_overrides(

9
scripts/tests/test_dashboards_render_atlas.py
View File

@ -79,6 +79,7 @@ def test_overview_uses_readable_quality_power_and_gitops_panels():
assert panels_by_title["Ariadne Run Volume"]["gridPos"] == {"h": 6, "w": 6, "x": 9, "y": 7}
assert panels_by_title["Pyrphoros UPS Current"]["gridPos"]["w"] == 3
assert panels_by_title["Current Enclosure Climate"]["gridPos"]["w"] == 3
assert panels_by_title["UPS History (Power Draw)"]["options"]["legend"]["placement"] == "bottom"
assert panels_by_title["UPS History (Power Draw)"]["fieldConfig"]["defaults"]["custom"]["drawStyle"] == "bars"
assert panels_by_title["UPS History (Power Draw)"]["fieldConfig"]["defaults"]["custom"]["barWidthFactor"] == 0.72
ups_overrides = panels_by_title["UPS History (Power Draw)"]["fieldConfig"]["overrides"]
@ -94,6 +95,8 @@ def test_overview_uses_readable_quality_power_and_gitops_panels():
{"id": "custom.barWidthFactor", "value": 0.42},
]
assert panels_by_title["Ariadne Run Volume"]["fieldConfig"]["defaults"]["custom"]["drawStyle"] == "bars"
assert panels_by_title["Ariadne Run Volume"]["options"]["legend"]["placement"] == "bottom"
assert panels_by_title["Ariadne Run Volume"]["options"]["legend"]["displayMode"] == "list"
assert "Fan History (0-10)" not in panels_by_title
assert panels_by_title["Fan Intensity History"]["type"] == "state-timeline"
assert panels_by_title["Fan Intensity History"]["gridPos"] == {"h": 6, "w": 6, "x": 9, "y": 13}
@ -124,6 +127,12 @@ def test_overview_uses_readable_quality_power_and_gitops_panels():
assert "backup-telemetry-missing" in pvc_backup_expr
assert 'pvc_backup_(count|last_success_timestamp_seconds|health_reason)' in pvc_backup_expr
gpu_expr = panels_by_title["Namespace GPU Share"]["targets"][0]["expr"]
assert 'resource=~"nvidia(_com_|[.]com/)gpu.*"' in gpu_expr
assert "/ on(node) group_left() clamp_min" in gpu_expr
assert "kube_node_status_allocatable" in gpu_expr
assert "kube_node_labels" not in gpu_expr
def test_render_configmap_writes(tmp_path):
mod = load_module()

4
services/monitoring/dashboards/atlas-gpu.json
View File

@ -20,7 +20,7 @@
},
"targets": [
{
"expr": "(100 * (sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))) / clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) / clamp_min((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))) / clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") * scalar((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))) / clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)) == bool 0))",
"expr": "(100 * (sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) / clamp_min((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") * scalar((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)) == bool 0))",
"refId": "A",
"legendFormat": "{{namespace}}"
}
@ -89,7 +89,7 @@
},
"targets": [
{
"expr": "sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))) / clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))",
"expr": "sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (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!=\"\"})))",
"refId": "A",
"legendFormat": "{{namespace}}"
}

8
services/monitoring/dashboards/atlas-overview.json
View File

@ -1360,7 +1360,7 @@
"options": {
"legend": {
"displayMode": "table",
"placement": "right"
"placement": "bottom"
},
"tooltip": {
"mode": "multi"
@ -2717,8 +2717,8 @@
},
"options": {
"legend": {
"displayMode": "table",
"placement": "right"
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "multi"
@ -3646,7 +3646,7 @@
},
"targets": [
{
"expr": "(100 * (sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))) / clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) / clamp_min((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))) / clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") * scalar((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))) / clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)) == bool 0))",
"expr": "(100 * (sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) / clamp_min((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") * scalar((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (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)) == bool 0))",
"refId": "A",
"legendFormat": "{{namespace}}"
}

4
services/monitoring/grafana-dashboard-gpu.yaml
View File

@ -29,7 +29,7 @@ data:
},
"targets": [
{
"expr": "(100 * (sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))) / clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) / clamp_min((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))) / clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") * scalar((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))) / clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)) == bool 0))",
"expr": "(100 * (sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) / clamp_min((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") * scalar((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)) == bool 0))",
"refId": "A",
"legendFormat": "{{namespace}}"
}
@ -98,7 +98,7 @@ data:
},
"targets": [
{
"expr": "sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))) / clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))",
"expr": "sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (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!=\"\"})))",
"refId": "A",
"legendFormat": "{{namespace}}"
}

8
services/monitoring/grafana-dashboard-overview.yaml
View File

@ -1369,7 +1369,7 @@ data:
"options": {
"legend": {
"displayMode": "table",
"placement": "right"
"placement": "bottom"
},
"tooltip": {
"mode": "multi"
@ -2726,8 +2726,8 @@ data:
},
"options": {
"legend": {
"displayMode": "table",
"placement": "right"
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "multi"
@ -3655,7 +3655,7 @@ data:
},
"targets": [
{
"expr": "(100 * (sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))) / clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) / clamp_min((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))) / clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") * scalar((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))) / clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia.com/gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (kube_node_labels{label_accelerator=~\".+\"} or kube_node_labels{label_jetson=\"true\"}))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)) == bool 0))",
"expr": "(100 * (sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) / clamp_min((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (avg by (node) (label_replace(label_replace(DCGM_FI_DEV_GPU_UTIL, \"pod\", \"$1\", \"Hostname\", \"(.*)\"), \"namespace\", \"monitoring\", \"\", \"\") * on(namespace,pod) group_left(node) kube_pod_info{namespace=\"monitoring\"}) or max by (node) (jetson_gr3d_freq_percent{node!=\"\"})))) or on() vector(0)), 1)) or (label_replace(vector(100), \"namespace\", \"idle\", \"\", \"\") * scalar((sum(sum by (namespace) ((sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))) / on(node) group_left() clamp_min(sum by (node) (sum by (namespace,node) (kube_pod_container_resource_requests{resource=~\"nvidia(_com_|[.]com/)gpu.*\",$namespace_scope_gpu} * on(namespace,pod) group_left(node) kube_pod_info * on(node) group_left() (max by (node) (kube_node_status_allocatable{resource=~\"nvidia(_com_|[.]com/)gpu.*\"} > bool 0)))), 1) * on(node) group_left() (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)) == bool 0))",
"refId": "A",
"legendFormat": "{{namespace}}"
}