monitoring: reorder namespace pies and add gpu data

This commit is contained in:
Brad Stein 2025-11-17 23:18:53 -03:00
parent 0708522b28
commit f4dd1de43f
3 changed files with 30 additions and 22 deletions

View File

@ -167,17 +167,20 @@ def node_io_expr(scope=""):
def namespace_cpu_share_expr():
selected = f"( {NAMESPACE_CPU_RAW} ) and on(namespace) ( {NAMESPACE_COMBINED_FILTER} )"
return f"100 * ( {selected} ) / sum( {NAMESPACE_CPU_RAW} )"
total = f"clamp_min(sum( {NAMESPACE_CPU_RAW} ), 1)"
return f"100 * ( {selected} ) / {total}"
def namespace_ram_share_expr():
selected = f"( {NAMESPACE_RAM_RAW} ) and on(namespace) ( {NAMESPACE_COMBINED_FILTER} )"
return f"100 * ( {selected} ) / sum( {NAMESPACE_RAM_RAW} )"
total = f"clamp_min(sum( {NAMESPACE_RAM_RAW} ), 1)"
return f"100 * ( {selected} ) / {total}"
def namespace_gpu_share_expr():
selected = f"( {NAMESPACE_GPU_RAW} ) and on(namespace) ( {NAMESPACE_COMBINED_FILTER} )"
return f"100 * ( {selected} ) / sum( {NAMESPACE_GPU_RAW} )"
total = f"clamp_min(sum( {NAMESPACE_GPU_RAW} ), 1)"
return f"100 * ( {selected} ) / {total}"
PROBLEM_PODS_EXPR = 'sum(max by (namespace,pod) (kube_pod_status_phase{phase!~"Running|Succeeded"}))'
@ -222,12 +225,17 @@ NAMESPACE_RAM_RAW = (
NAMESPACE_GPU_RAW = (
'sum(rate(container_gpu_usage_seconds_total{namespace!="",pod!="",container!=""}[5m])) by (namespace)'
)
NAMESPACE_GPU_RAW = (
'sum(kube_pod_container_resource_requests{resource="nvidia.com/gpu",namespace!=""}) by (namespace)'
)
NAMESPACE_COMBINED_FILTER = (
'topk(10, ('
+ NAMESPACE_CPU_RAW
+ ") + ("
+ NAMESPACE_RAM_RAW
+ ' / 1e9))'
+ ' / 1e9) + ('
+ NAMESPACE_GPU_RAW
+ ' * 10))'
)
TRAEFIK_ROUTER_EXPR = "sum by (router) (rate(traefik_router_requests_total[5m]))"
NET_INGRESS_EXPR = (
@ -518,24 +526,24 @@ def build_overview():
panels.append(
pie_panel(
11,
"Namespace CPU share",
namespace_cpu_share_expr(),
"Namespace GPU share",
namespace_gpu_share_expr(),
{"h": 9, "w": 8, "x": 0, "y": 10},
)
)
panels.append(
pie_panel(
12,
"Namespace RAM share",
namespace_ram_share_expr(),
"Namespace CPU share",
namespace_cpu_share_expr(),
{"h": 9, "w": 8, "x": 8, "y": 10},
)
)
panels.append(
pie_panel(
13,
"Namespace GPU share",
namespace_gpu_share_expr(),
"Namespace RAM share",
namespace_ram_share_expr(),
{"h": 9, "w": 8, "x": 16, "y": 10},
)
)

View File

@ -709,7 +709,7 @@
{
"id": 11,
"type": "piechart",
"title": "Namespace CPU share",
"title": "Namespace GPU share",
"datasource": {
"type": "prometheus",
"uid": "atlas-vm"
@ -722,7 +722,7 @@
},
"targets": [
{
"expr": "100 * ( ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) and on(namespace) ( topk(10, (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace)) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9)) ) ) / sum( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) )",
"expr": "100 * ( ( sum(kube_pod_container_resource_requests{resource=\"nvidia.com/gpu\",namespace!=\"\"}) by (namespace) ) and on(namespace) ( topk(10, (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace)) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + (sum(kube_pod_container_resource_requests{resource=\"nvidia.com/gpu\",namespace!=\"\"}) by (namespace) * 10)) ) ) / clamp_min(sum( sum(kube_pod_container_resource_requests{resource=\"nvidia.com/gpu\",namespace!=\"\"}) by (namespace) ), 1)",
"refId": "A",
"legendFormat": "{{namespace}}"
}
@ -751,7 +751,7 @@
{
"id": 12,
"type": "piechart",
"title": "Namespace RAM share",
"title": "Namespace CPU share",
"datasource": {
"type": "prometheus",
"uid": "atlas-vm"
@ -764,7 +764,7 @@
},
"targets": [
{
"expr": "100 * ( ( sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) ) and on(namespace) ( topk(10, (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace)) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9)) ) ) / sum( sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) )",
"expr": "100 * ( ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) and on(namespace) ( topk(10, (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace)) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + (sum(kube_pod_container_resource_requests{resource=\"nvidia.com/gpu\",namespace!=\"\"}) by (namespace) * 10)) ) ) / clamp_min(sum( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ), 1)",
"refId": "A",
"legendFormat": "{{namespace}}"
}
@ -793,7 +793,7 @@
{
"id": 13,
"type": "piechart",
"title": "Namespace GPU share",
"title": "Namespace RAM share",
"datasource": {
"type": "prometheus",
"uid": "atlas-vm"
@ -806,7 +806,7 @@
},
"targets": [
{
"expr": "100 * ( ( sum(rate(container_gpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) and on(namespace) ( topk(10, (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace)) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9)) ) ) / sum( sum(rate(container_gpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) )",
"expr": "100 * ( ( sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) ) and on(namespace) ( topk(10, (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace)) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + (sum(kube_pod_container_resource_requests{resource=\"nvidia.com/gpu\",namespace!=\"\"}) by (namespace) * 10)) ) ) / clamp_min(sum( sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) ), 1)",
"refId": "A",
"legendFormat": "{{namespace}}"
}

View File

@ -718,7 +718,7 @@ data:
{
"id": 11,
"type": "piechart",
"title": "Namespace CPU share",
"title": "Namespace GPU share",
"datasource": {
"type": "prometheus",
"uid": "atlas-vm"
@ -731,7 +731,7 @@ data:
},
"targets": [
{
"expr": "100 * ( ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) and on(namespace) ( topk(10, (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace)) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9)) ) ) / sum( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) )",
"expr": "100 * ( ( sum(kube_pod_container_resource_requests{resource=\"nvidia.com/gpu\",namespace!=\"\"}) by (namespace) ) and on(namespace) ( topk(10, (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace)) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + (sum(kube_pod_container_resource_requests{resource=\"nvidia.com/gpu\",namespace!=\"\"}) by (namespace) * 10)) ) ) / clamp_min(sum( sum(kube_pod_container_resource_requests{resource=\"nvidia.com/gpu\",namespace!=\"\"}) by (namespace) ), 1)",
"refId": "A",
"legendFormat": "{{namespace}}"
}
@ -760,7 +760,7 @@ data:
{
"id": 12,
"type": "piechart",
"title": "Namespace RAM share",
"title": "Namespace CPU share",
"datasource": {
"type": "prometheus",
"uid": "atlas-vm"
@ -773,7 +773,7 @@ data:
},
"targets": [
{
"expr": "100 * ( ( sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) ) and on(namespace) ( topk(10, (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace)) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9)) ) ) / sum( sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) )",
"expr": "100 * ( ( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) and on(namespace) ( topk(10, (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace)) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + (sum(kube_pod_container_resource_requests{resource=\"nvidia.com/gpu\",namespace!=\"\"}) by (namespace) * 10)) ) ) / clamp_min(sum( sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ), 1)",
"refId": "A",
"legendFormat": "{{namespace}}"
}
@ -802,7 +802,7 @@ data:
{
"id": 13,
"type": "piechart",
"title": "Namespace GPU share",
"title": "Namespace RAM share",
"datasource": {
"type": "prometheus",
"uid": "atlas-vm"
@ -815,7 +815,7 @@ data:
},
"targets": [
{
"expr": "100 * ( ( sum(rate(container_gpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) ) and on(namespace) ( topk(10, (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace)) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9)) ) ) / sum( sum(rate(container_gpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace) )",
"expr": "100 * ( ( sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) ) and on(namespace) ( topk(10, (sum(rate(container_cpu_usage_seconds_total{namespace!=\"\",pod!=\"\",container!=\"\"}[5m])) by (namespace)) + (sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) / 1e9) + (sum(kube_pod_container_resource_requests{resource=\"nvidia.com/gpu\",namespace!=\"\"}) by (namespace) * 10)) ) ) / clamp_min(sum( sum(container_memory_working_set_bytes{namespace!=\"\",pod!=\"\",container!=\"\"}) by (namespace) ), 1)",
"refId": "A",
"legendFormat": "{{namespace}}"
}