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benjvi/dashboard.json

Created February 22, 2022 13:06
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Grafana Dashboard for Identifying Overprovisioned & Underprovisioned Workloads
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dashboard.json
{
"__inputs": [
{
"name": "DS_PROMETHEUS",
"label": "prometheus",
"description": "",
"type": "datasource",
"pluginId": "prometheus",
"pluginName": "Prometheus"
}
],
"__requires": [
{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "7.5.4"
},
{
"type": "datasource",
"id": "prometheus",
"name": "Prometheus",
"version": "1.0.0"
},
{
"type": "panel",
"id": "stat",
"name": "Stat",
"version": ""
},
{
"type": "panel",
"id": "table",
"name": "Table",
"version": ""
},
{
"type": "panel",
"id": "text",
"name": "Text",
"version": ""
}
],
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": "-- Grafana --",
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"type": "dashboard"
}
]
},
"editable": true,
"gnetId": null,
"graphTooltip": 0,
"id": null,
"iteration": 1645534814589,
"links": [],
"panels": [
{
"datasource": null,
"fieldConfig": {
"defaults": {},
"overrides": []
},
"gridPos": {
"h": 7,
"w": 2,
"x": 0,
"y": 0
},
"id": 12,
"options": {
"content": "# CPU",
"mode": "markdown"
},
"pluginVersion": "7.5.4",
"targets": [
{
"queryType": "randomWalk",
"refId": "A"
}
],
"timeFrom": null,
"timeShift": null,
"type": "text"
},
{
"datasource": "${DS_PROMETHEUS}",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 7,
"w": 5,
"x": 2,
"y": 0
},
"id": 7,
"interval": "1h",
"options": {
"colorMode": "value",
"graphMode": "area",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"text": {},
"textMode": "auto"
},
"pluginVersion": "7.5.4",
"targets": [
{
"exemplar": true,
"expr": "sum\n (\n # sum over pod giving total overprovisioning per pod, we can join this with pod owner information\n sum\n (\n # actual requests\n avg(kube_pod_container_resource_requests{resource=\"cpu\", unit=\"core\"}) by (namespace, pod, container) \n - \n # recommended request level based on usage\n (\n ( 1 + ($cpu_overhead_percent/100) ) * max(\n quantile_over_time(\n $cpu_percentile,\n sum(\n node_namespace_pod_container:container_cpu_usage_seconds_total:sum_rate\n ) by (namespace,pod,container)\n [$__range:1h]\n )\n ) by (namespace,pod,container)\n ) \n ) by (namespace,pod)\n * \n on(namespace,pod)\n group_left(owner_name,owner_kind)\n kube_pod_owner\n > 0\n )",
"instant": false,
"interval": "",
"legendFormat": "",
"queryType": "randomWalk",
"refId": "A"
}
],
"title": "Total Overprovisioned CPU",
"type": "stat"
},
{
"datasource": "${DS_PROMETHEUS}",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 7,
"w": 5,
"x": 7,
"y": 0
},
"id": 9,
"interval": "1h",
"options": {
"colorMode": "value",
"graphMode": "area",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"text": {},
"textMode": "auto"
},
"pluginVersion": "7.5.4",
"targets": [
{
"exemplar": true,
"expr": "sum\n (\n # sum over pod giving total overprovisioning per pod, we can join this with pod owner information\n sum\n (\n # actual requests\n avg(kube_pod_container_resource_requests{resource=\"cpu\", unit=\"core\"}) by (namespace, pod, container) \n - \n # recommended request level based on usage\n on (namespace, pod, container)\n (\n ( 1 + ($cpu_overhead_percent/100) ) * max(\n quantile_over_time(\n $cpu_percentile,\n sum(\n node_namespace_pod_container:container_cpu_usage_seconds_total:sum_rate\n ) by (namespace,pod,container)\n [$__range:1h]\n )\n ) by (namespace,pod,container)\n )\n or on (namespace, pod, container) \n -1 * ( 1 + ($cpu_overhead_percent/100) ) * max(\n quantile_over_time(\n $cpu_percentile,\n sum(\n node_namespace_pod_container:container_cpu_usage_seconds_total:sum_rate\n ) by (namespace,pod,container)\n [7d:1h]\n )\n ) by (namespace,pod,container) \n ) by (namespace,pod)\n * \n on(namespace,pod)\n group_left(owner_name,owner_kind)\n kube_pod_owner\n < 0\n )",
"instant": false,
"interval": "",
"legendFormat": "",
"queryType": "randomWalk",
"refId": "A"
}
],
"title": "Total Underprovisioned CPU",
"type": "stat"
},
{
"datasource": null,
"fieldConfig": {
"defaults": {},
"overrides": []
},
"gridPos": {
"h": 7,
"w": 2,
"x": 12,
"y": 0
},
"id": 13,
"options": {
"content": "# Memory",
"mode": "markdown"
},
"pluginVersion": "7.5.4",
"targets": [
{
"queryType": "randomWalk",
"refId": "A"
}
],
"timeFrom": null,
"timeShift": null,
"type": "text"
},
{
"datasource": "${DS_PROMETHEUS}",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 7,
"w": 5,
"x": 14,
"y": 0
},
"id": 8,
"interval": "1h",
"options": {
"colorMode": "value",
"graphMode": "area",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"text": {},
"textMode": "auto"
},
"pluginVersion": "7.5.4",
"targets": [
{
"exemplar": true,
"expr": " sum(\n (\n avg(kube_pod_container_resource_requests{resource=\"memory\", unit=\"byte\"}) by (container,pod,namespace) \n - \n ( 1 + ($memory_overhead_percent/100) ) * max(quantile_over_time($memory_percentile,container_memory_working_set_bytes{container!=\"POD\",container!=\"\"}[$__range])) by (container,pod,namespace)\n ) / (1024 * 1024) \n *\n on(namespace,pod) \n group_left(owner_name,owner_kind) \n ( avg(kube_pod_owner) by (namespace,pod,owner_name,owner_kind) ) > 0\n ) ",
"instant": false,
"interval": "",
"legendFormat": "",
"queryType": "randomWalk",
"refId": "A"
}
],
"title": "Total Overprovisioned Memory (MB)",
"type": "stat"
},
{
"datasource": "${DS_PROMETHEUS}",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 7,
"w": 5,
"x": 19,
"y": 0
},
"id": 10,
"interval": "1h",
"options": {
"colorMode": "value",
"graphMode": "area",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"text": {},
"textMode": "auto"
},
"pluginVersion": "7.5.4",
"targets": [
{
"exemplar": true,
"expr": " sum(\n (\n avg(kube_pod_container_resource_requests{resource=\"memory\", unit=\"byte\"}) by (container,pod,namespace) \n - \n ( 1 + ( $memory_overhead_percent / 100 ) ) * max(quantile_over_time($memory_percentile,container_memory_working_set_bytes{container!=\"POD\",container!=\"\"}[3h])) by (container,pod,namespace)\n or on (namespace, pod, container) -1 * ( 1 + ($memory_overhead_percent/100) ) * max(quantile_over_time($memory_percentile,container_memory_working_set_bytes{container!=\"POD\",container!=\"\"}[$__range])) by (container,pod,namespace)\n ) / (1024 * 1024) \n *\n on(namespace,pod) \n group_left(owner_name,owner_kind) \n ( avg(kube_pod_owner) by (namespace,pod,owner_name,owner_kind) ) < 0\n ) ",
"instant": false,
"interval": "",
"legendFormat": "",
"queryType": "randomWalk",
"refId": "A"
}
],
"title": "Total Underprovisioned Memory (MB)",
"type": "stat"
},
{
"collapsed": false,
"datasource": null,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 7
},
"id": 17,
"panels": [],
"title": "Overprovisioned",
"type": "row"
},
{
"datasource": "${DS_PROMETHEUS}",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"custom": {
"align": null,
"filterable": false
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "namespace"
},
"properties": [
{
"id": "custom.width",
"value": 141
}
]
},
{
"matcher": {
"id": "byName",
"options": "owner_kind"
},
"properties": [
{
"id": "custom.width",
"value": 134
}
]
},
{
"matcher": {
"id": "byName",
"options": "Value #A"
},
"properties": [
{
"id": "displayName",
"value": "CPU Overprovisioning Total"
}
]
},
{
"matcher": {
"id": "byName",
"options": "Value #B"
},
"properties": [
{
"id": "displayName",
"value": "Pod Count"
}
]
},
{
"matcher": {
"id": "byName",
"options": "CPU Overprovisioning Total"
},
"properties": [
{
"id": "custom.width",
"value": 77
}
]
},
{
"matcher": {
"id": "byName",
"options": "Pod Count"
},
"properties": [
{
"id": "custom.width",
"value": 93
}
]
},
{
"matcher": {
"id": "byName",
"options": "owner_name"
},
"properties": [
{
"id": "custom.width",
"value": 204
}
]
}
]
},
"gridPos": {
"h": 10,
"w": 12,
"x": 0,
"y": 8
},
"id": 2,
"interval": "1h",
"options": {
"showHeader": true,
"sortBy": [
{
"desc": true,
"displayName": "CPU Overprovisioning Total"
}
]
},
"pluginVersion": "7.5.4",
"targets": [
{
"exemplar": true,
"expr": "topk\n(\n 8,\n # after joining owner, we can sum over all replicas attached to the same owner (controller) object\n sum\n (\n # sum over pod giving total overprovisioning per pod, we can join this with pod owner information\n sum\n (\n # actual requests\n avg(kube_pod_container_resource_requests{resource=\"cpu\", unit=\"core\"}) by (namespace, pod, container) \n - \n # recommended request level based on usage\n (\n ( 1 + ($cpu_overhead_percent/100) ) * max(\n quantile_over_time(\n $cpu_percentile,\n sum(\n node_namespace_pod_container:container_cpu_usage_seconds_total:sum_rate\n ) by (namespace,pod,container)\n [$__range:1h]\n )\n ) by (namespace,pod,container)\n ) \n ) by (namespace,pod)\n * \n on(namespace,pod)\n group_left(owner_name,owner_kind)\n kube_pod_owner\n ) by (namespace,owner_name,owner_kind)\n)",
"format": "table",
"hide": false,
"instant": true,
"interval": "",
"legendFormat": "",
"queryType": "randomWalk",
"refId": "A"
},
{
"exemplar": true,
"expr": "count\n(\n (kube_pod_status_ready == 1)\n *\n on (namespace,pod)\n group_left(owner_name,owner_kind)\n (kube_pod_owner == 1)\n) by (namespace,owner_name,owner_kind)",
"format": "table",
"hide": false,
"instant": true,
"interval": "",
"legendFormat": "",
"refId": "B"
}
],
"title": "Top8 Overprovisioned Workloads CPU",
"transformations": [
{
"id": "filterFieldsByName",
"options": {
"include": {
"names": [
"namespace",
"owner_kind",
"owner_name",
"Value #A",
"Value #B"
]
}
}
},
{
"id": "merge",
"options": {}
},
{
"id": "filterByValue",
"options": {
"filters": [
{
"config": {
"id": "greater",
"options": {
"value": 0
}
},
"fieldName": "Value #A"
}
],
"match": "all",
"type": "include"
}
}
],
"type": "table"
},
{
"datasource": "${DS_PROMETHEUS}",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"custom": {
"align": null,
"filterable": false
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "namespace"
},
"properties": [
{
"id": "custom.width",
"value": 141
}
]
},
{
"matcher": {
"id": "byName",
"options": "owner_kind"
},
"properties": [
{
"id": "custom.width",
"value": 134
}
]
},
{
"matcher": {
"id": "byName",
"options": "Value #A"
},
"properties": [
{
"id": "displayName",
"value": "Memory Overprovisioning Total (MB)"
}
]
},
{
"matcher": {
"id": "byName",
"options": "Value #B"
},
"properties": [
{
"id": "displayName",
"value": "Pod Count"
}
]
},
{
"matcher": {
"id": "byName",
"options": "CPU Overprovisioning Total"
},
"properties": [
{
"id": "custom.width",
"value": 235
}
]
},
{
"matcher": {
"id": "byName",
"options": "Pod Count"
},
"properties": [
{
"id": "custom.width",
"value": 95
}
]
},
{
"matcher": {
"id": "byName",
"options": "Memory Overprovisioning Total (MB)"
},
"properties": [
{
"id": "custom.width",
"value": 106
}
]
},
{
"matcher": {
"id": "byName",
"options": "owner_name"
},
"properties": [
{
"id": "custom.width",
"value": 168
}
]
}
]
},
"gridPos": {
"h": 10,
"w": 12,
"x": 12,
"y": 8
},
"id": 4,
"interval": "12h",
"options": {
"showHeader": true,
"sortBy": []
},
"pluginVersion": "7.5.4",
"targets": [
{
"exemplar": true,
"expr": "topk(\n 8,\n sum(\n sum(\n (\n ## current resource reservation\n avg(kube_pod_container_resource_requests{resource=\"memory\", unit=\"byte\"}) by (container,pod,namespace) \n - \n # resource recommendation based on historical usage\n ( 1 + ($memory_overhead_percent/100) ) * max(quantile_over_time($memory_percentile,container_memory_working_set_bytes{container!=\"POD\",container!=\"\"}[$__range])) by (container,pod,namespace)\n ) / (1024 * 1024) \n ) by (pod,namespace)\n *\n on(namespace,pod) \n group_left(owner_name,owner_kind) \n ( avg(kube_pod_owner) by (namespace,pod,owner_name,owner_kind) )\n ) by (namespace,owner_name,owner_kind)\n)",
"format": "table",
"hide": false,
"instant": true,
"interval": "",
"legendFormat": "",
"queryType": "randomWalk",
"refId": "A"
},
{
"exemplar": true,
"expr": "count\n(\n (kube_pod_status_ready == 1)\n *\n on (namespace,pod)\n group_left(owner_name,owner_kind)\n (kube_pod_owner == 1)\n) by (namespace,owner_name,owner_kind)",
"format": "table",
"hide": false,
"instant": true,
"interval": "",
"legendFormat": "",
"refId": "B"
}
],
"title": "Top8 Overprovisioned Workloads Memory",
"transformations": [
{
"id": "filterFieldsByName",
"options": {
"include": {
"names": [
"namespace",
"owner_kind",
"owner_name",
"Value #A",
"Value #B"
]
}
}
},
{
"id": "merge",
"options": {}
},
{
"id": "filterByValue",
"options": {
"filters": [
{
"config": {
"id": "greater",
"options": {
"value": 0
}
},
"fieldName": "Value #A"
}
],
"match": "all",
"type": "include"
}
}
],
"type": "table"
},
{
"collapsed": false,
"datasource": null,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 18
},
"id": 19,
"panels": [],
"title": "Underprovisioned",
"type": "row"
},
{
"datasource": "${DS_PROMETHEUS}",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"custom": {
"align": null,
"filterable": false
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "namespace"
},
"properties": [
{
"id": "custom.width",
"value": 140
}
]
},
{
"matcher": {
"id": "byName",
"options": "owner_kind"
},
"properties": [
{
"id": "custom.width",
"value": 136
}
]
},
{
"matcher": {
"id": "byName",
"options": "Value #A"
},
"properties": [
{
"id": "displayName",
"value": "CPU Underprovisioning Total"
}
]
},
{
"matcher": {
"id": "byName",
"options": "Value #B"
},
"properties": [
{
"id": "displayName",
"value": "Pod Count"
}
]
},
{
"matcher": {
"id": "byName",
"options": "owner_name"
},
"properties": [
{
"id": "custom.width",
"value": 305
}
]
},
{
"matcher": {
"id": "byName",
"options": "CPU Underprovisioning Total"
},
"properties": [
{
"id": "custom.width",
"value": 218
}
]
},
{
"matcher": {
"id": "byName",
"options": "Pod Count"
},
"properties": [
{
"id": "custom.width",
"value": 100
}
]
}
]
},
"gridPos": {
"h": 10,
"w": 12,
"x": 0,
"y": 19
},
"id": 3,
"interval": "1h",
"options": {
"showHeader": true,
"sortBy": []
},
"pluginVersion": "7.5.4",
"targets": [
{
"exemplar": true,
"expr": "bottomk\n(\n 8,\n # after joining owner, we can sum over all replicas attached to the same owner (controller) object\n sum\n (\n # sum over pod giving total overprovisioning per pod, we can join this with pod owner information\n sum\n (\n # actual requests\n sum(kube_pod_container_resource_requests{resource=\"cpu\", unit=\"core\"}) by (namespace, pod, container)\n -\n on (namespace, pod, container)\n # recommended request level based on usage\n ( 1 + ($cpu_overhead_percent/100) ) * max(\n quantile_over_time(\n $cpu_percentile,\n sum(\n node_namespace_pod_container:container_cpu_usage_seconds_total:sum_rate\n ) by (namespace,pod,container)\n [$__range:1h]\n )\n ) by (namespace,pod,container) \n # if request is missing, overprovisioning is equal to recommended request\n or on (namespace, pod, container) \n -1 * ( 1 + ($cpu_overhead_percent/100) ) * max(\n quantile_over_time(\n $cpu_percentile,\n sum(\n node_namespace_pod_container:container_cpu_usage_seconds_total:sum_rate\n ) by (namespace,pod,container)\n [$__range:1h]\n )\n ) by (namespace,pod,container) \n ) by (namespace,pod)\n * \n on(namespace,pod)\n group_left(owner_name,owner_kind)\n kube_pod_owner\n ) by (namespace,owner_name,owner_kind)\n)",
"format": "table",
"instant": true,
"interval": "",
"legendFormat": "",
"queryType": "randomWalk",
"refId": "A"
},
{
"exemplar": true,
"expr": "count\n(\n (kube_pod_status_ready == 1)\n *\n on (namespace,pod)\n group_left(owner_name,owner_kind)\n (kube_pod_owner == 1)\n) by (namespace,owner_name,owner_kind)",
"format": "table",
"hide": false,
"instant": true,
"interval": "",
"legendFormat": "",
"refId": "B"
}
],
"title": "Top8 Underprovisioned Workloads CPU",
"transformations": [
{
"id": "filterFieldsByName",
"options": {
"include": {
"names": [
"namespace",
"owner_kind",
"owner_name",
"Value #A",
"Value #B"
]
}
}
},
{
"id": "merge",
"options": {}
},
{
"id": "filterByValue",
"options": {
"filters": [
{
"config": {
"id": "lower",
"options": {
"value": 0
}
},
"fieldName": "Value #A"
}
],
"match": "all",
"type": "include"
}
}
],
"type": "table"
},
{
"datasource": "${DS_PROMETHEUS}",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"custom": {
"align": null,
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