206 lines
7.9 KiB
Python
206 lines
7.9 KiB
Python
from grafanalib.core import *
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dashboard = Dashboard(
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title='Kubernetes Resource Requests',
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version=2,
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graphTooltip=0,
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refresh=False,
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editable=False,
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schemaVersion=14,
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time=Time(start='now-3h'),
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timezone='browser',
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inputs=[
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{
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'name': 'prometheus',
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'label': 'prometheus',
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'description': '',
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'type': 'datasource',
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'pluginId': 'prometheus',
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'pluginName': 'Prometheus'
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},
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],
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rows=[
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Row(
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height=300, title='CPU Cores', showTitle=False, editable=False,
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titleSize='h6', panels=[
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Graph(
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title='CPU Cores',
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description='This represents the total [CPU resource '
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'requests](https://kubernetes.io/docs/concepts/configu'
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'ration/manage-compute-resources-container/#meaning-of-'
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'cpu) in the cluster.\nFor comparison the total '
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'[allocatable CPU cores](https://github.com/kubernetes/'
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'community/blob/master/contributors/design-proposals/'
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'node-allocatable.md) is also shown.',
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id=1,
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dataSource='prometheus',
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dashLength=10,
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dashes=False,
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isNew=False,
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editable=False,
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lineWidth=1,
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spaceLength=10,
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nullPointMode='null',
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span=9,
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tooltip=Tooltip(
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msResolution=False, valueType='individual'
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),
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yAxes=YAxes(
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YAxis(format='short', label='CPU Cores', min=None,),
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YAxis(format='short', min=None),
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),
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targets=[
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{
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'expr': 'min(sum(kube_node_status_allocatable_'
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'cpu_cores) by (instance))',
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'hide': False,
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'intervalFactor': 2,
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'legendFormat': 'Allocatable CPU Cores',
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'refId': 'A',
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'step': 20,
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},
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{
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'expr': 'max(sum(kube_pod_container_resource_'
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'requests_cpu_cores) by (instance))',
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'hide': False,
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'intervalFactor': 2,
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'legendFormat': 'Requested CPU Cores',
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'refId': 'B',
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'step': 20,
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},
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],
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),
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SingleStat(
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title='CPU Cores',
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dataSource='prometheus',
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id=2,
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format='percent',
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editable=False,
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span=3,
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gauge=Gauge(show=True),
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sparkline=SparkLine(show=True),
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valueFontSize='110%',
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thresholds='80, 90',
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valueMaps=[
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{
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'op': '=',
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'text': 'N/A',
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'value': 'null',
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},
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],
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rangeMaps=[
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{
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'from': 'null',
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'text': 'N/A',
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'to': 'null',
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},
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],
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targets=[
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{
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'expr': 'max(sum(kube_pod_container_resource_'
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'requests_cpu_cores) by (instance)) / min(sum'
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'(kube_node_status_allocatable_cpu_cores) by '
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'(instance)) * 100',
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'intervalFactor': 2,
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'legendFormat': '',
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'refId': 'A',
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'step': 240,
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},
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],
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),
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],
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),
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Row(
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height=300, title='Memory', showTitle=False, editable=False,
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titleSize='h6', panels=[
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Graph(
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title='Memory',
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id=3,
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dataSource='prometheus',
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description='This represents the total [memory resource '
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'requests](https://kubernetes.io/docs/concepts/'
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'configuration/manage-compute-resources-container/'
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'#meaning-of-memory) in the cluster.\nFor comparison '
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'the total [allocatable memory](https://github.com/'
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'kubernetes/community/blob/master/contributors/'
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'design-proposals/node-allocatable.md) is also shown.',
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dashLength=10,
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dashes=False,
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lineWidth=1,
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isNew=False,
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editable=False,
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spaceLength=10,
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span=9,
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nullPointMode='null',
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tooltip=Tooltip(
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msResolution=False, valueType='individual'
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),
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yAxes=YAxes(
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YAxis(format='bytes', label='Memory', min=None),
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YAxis(format='short', min=None),
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),
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targets=[
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{
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'expr': 'min(sum(kube_node_status_allocatable_'
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'memory_bytes) by (instance))',
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'hide': False,
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'intervalFactor': 2,
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'legendFormat': 'Allocatable Memory',
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'refId': 'A',
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'step': 20,
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},
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{
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'expr': 'max(sum(kube_pod_container_resource_'
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'requests_memory_bytes) by (instance))',
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'hide': False,
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'intervalFactor': 2,
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'legendFormat': 'Requested Memory',
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'refId': 'B',
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'step': 20,
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},
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],
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),
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SingleStat(
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title='Memory',
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dataSource='prometheus',
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id=4,
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format='percent',
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span=3,
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gauge=Gauge(show=True),
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sparkline=SparkLine(show=True),
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editable=False,
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valueFontSize='110%',
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thresholds='80, 90',
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valueMaps=[
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{
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'op': '=',
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'text': 'N/A',
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'value': 'null',
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},
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],
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rangeMaps=[
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{
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'from': 'null',
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'text': 'N/A',
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'to': 'null',
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},
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],
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targets=[
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{
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'expr': 'max(sum(kube_pod_container_resource_'
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'requests_memory_bytes) by (instance)) / '
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'min(sum(kube_node_status_allocatable_memory_'
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'bytes) by (instance)) * 100',
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'intervalFactor': 2,
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'legendFormat': '',
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'refId': 'A',
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'step': 240,
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},
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],
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),
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],
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),
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],
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)
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