feat: use kube-mixin dashboards directly

This commit is contained in:
Stefan Reimer 2021-04-26 16:27:19 +02:00
parent 9be889efed
commit 421ab21a6b
29 changed files with 26055 additions and 7 deletions

1
charts/kubezero-metrics/.gitignore vendored Normal file
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dashboards/vendor

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@ -26,3 +26,4 @@ README.md.gotmpl
*.patch *.patch
*.sh *.sh
*.py *.py
dashboards

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#!/bin/bash
jb update
mkdir -p kube-mixin
jsonnet -J vendor -m kube-mixin -e '(import "mixin.libsonnet").grafanaDashboards'

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{
"version": 1,
"dependencies": [
{
"source": {
"git": {
"remote": "https://github.com/kubernetes-monitoring/kubernetes-mixin.git",
"subdir": ""
}
},
"version": "master"
}
],
"legacyImports": true
}

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{
"version": 1,
"dependencies": [
{
"source": {
"git": {
"remote": "https://github.com/grafana/grafonnet-lib.git",
"subdir": "grafonnet"
}
},
"version": "55cf4ee53ced2b6d3ce96ecce9fb813b4465be98",
"sum": "4/sUV0Kk+o8I+wlYxL9R6EPhL/NiLfYHk+NXlU64RUk="
},
{
"source": {
"git": {
"remote": "https://github.com/grafana/jsonnet-libs.git",
"subdir": "grafana-builder"
}
},
"version": "970b0dd2fc5b896406eba258cad78b7e0b0f18bf",
"sum": "GRf2GvwEU4jhXV+JOonXSZ4wdDv8mnHBPCQ6TUVd+g8="
},
{
"source": {
"git": {
"remote": "https://github.com/kubernetes-monitoring/kubernetes-mixin.git",
"subdir": ""
}
},
"version": "39a9cda705b5201c35105bd1f24c83923fa839ef",
"sum": "8GmlcgCeC46NSHfRBebyqUOJCG1YvqvuGMj98u+Pge4="
}
],
"legacyImports": false
}

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configmap: grafana-dashboards-kube-mixin
gzip: true
# folder: Istio
# cd kube-mixin; for f in *.json; do echo "- name: ${f%%.json}" >> ../kube-mixin.yaml; echo " url: file://kube-mixin/$f" >> ../kube-mixin.yaml; done; cd -
dashboards:
- name: apiserver
url: file://kube-mixin/apiserver.json
- name: cluster-total
url: file://kube-mixin/cluster-total.json
- name: controller-manager
url: file://kube-mixin/controller-manager.json
- name: k8s-resources-cluster
url: file://kube-mixin/k8s-resources-cluster.json
- name: k8s-resources-namespace
url: file://kube-mixin/k8s-resources-namespace.json
- name: k8s-resources-node
url: file://kube-mixin/k8s-resources-node.json
- name: k8s-resources-pod
url: file://kube-mixin/k8s-resources-pod.json
- name: k8s-resources-workload
url: file://kube-mixin/k8s-resources-workload.json
- name: k8s-resources-workloads-namespace
url: file://kube-mixin/k8s-resources-workloads-namespace.json
- name: kubelet
url: file://kube-mixin/kubelet.json
- name: namespace-by-pod
url: file://kube-mixin/namespace-by-pod.json
- name: namespace-by-workload
url: file://kube-mixin/namespace-by-workload.json
- name: persistentvolumesusage
url: file://kube-mixin/persistentvolumesusage.json
- name: pod-total
url: file://kube-mixin/pod-total.json
- name: proxy
url: file://kube-mixin/proxy.json
- name: scheduler
url: file://kube-mixin/scheduler.json
- name: workload-total
url: file://kube-mixin/workload-total.json

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},
{
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{
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{
"expr": "histogram_quantile(0.99, sum(rate(rest_client_request_duration_seconds_bucket{cluster=\"$cluster\", job=\"kube-scheduler\", instance=~\"$instance\", verb=\"GET\"}[5m])) by (verb, url, le))",
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}
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"to": "now"
},
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],
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}

File diff suppressed because it is too large Load Diff

View File

@ -0,0 +1,9 @@
local kubernetes = import "kubernetes-mixin/mixin.libsonnet";
kubernetes {
_config+:: {
grafanaK8s+:: {
dashboardTags: ['kubernetes'],
},
},
}

View File

@ -18,7 +18,7 @@ def traverse_json(obj):
for k, v in obj.items(): for k, v in obj.items():
# CloudBender::StackRef # CloudBender::StackRef
if k == "datasource" and v: if k == "datasource" and v:
obj[k] = "$datasource" obj[k] = "Prometheus"
if isinstance(v, dict) or isinstance(v, list): if isinstance(v, dict) or isinstance(v, list):
traverse_json(v) traverse_json(v)
@ -66,11 +66,15 @@ else:
''' '''
for b in config['dashboards']: for b in config['dashboards']:
response = requests.get(b['url']) if not b['url'].startswith('file://'):
if response.status_code != 200: response = requests.get(b['url'])
print('Skipping the file, response code %s not equals 200' % response.status_code) if response.status_code != 200:
continue print('Skipping the file, response code %s not equals 200' % response.status_code)
raw_text = response.text continue
raw_text = response.text
else:
with open(b['url'].replace('file://', ''), 'r') as file_contents:
raw_text = file_contents.read()
obj = json.loads(raw_text) obj = json.loads(raw_text)

View File

@ -0,0 +1,43 @@
apiVersion: v1
kind: ConfigMap
metadata:
name: {{ printf "%s-%s" (include "kubezero-lib.fullname" $) "grafana-dashboards-kube-mixin" | trunc 63 | trimSuffix "-" }}
namespace: {{ .Release.Namespace }}
labels:
grafana_dashboard: "1"
{{ include "kubezero-lib.labels" . | indent 4 }}
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cluster-total.json.gz:
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
controller-manager.json.gz:
H4sIAAAAAAAC/+1d62/bthb/nr9C0DYgAdxOfrXxgH5I09uiWLOlrbd92AqDlmhZNxKpklTiLPD92+8h9TAl0YmTtrHT8IthncPH4Xn+RNPS1Z7juJNJRNJMcPcX5+9PnZzC8OcsYlijIUKoQCKiRBKvgATEOOJCNYHLpWqGg0igaYyBOkMxx4oYEizeBkAiWRznFIbS+ZjSWEQp0D1FnEcBPqZEMBrzWv+o1jeOyJkmGMMzEHQOBLfvcTen0QvVQkmZywpUn8YxSnlNthojaHFSRHC8GkofLu+J/DkeRwmmmdBkXPFpTNlL5J+FjGakNf6qzZ8ozvB6dl0ERf+hNxr5g2dup05m4RTt9/rPO063N+o4A6/jeE8PRwfNdj8EgwHqI1ejfqrNGyCBOM2YL8VyTxlNsJjjjNcGcmeUJUgu3SWU4DovRFmIK2epyAlalKvtel5DrCQiJbPJ4nN6YdIQsMRcugCNg3doiuvOY2p1gtgZVjoVLMNao2VdfhYFp1S5e52h/LFXJxGB2TmKTU5Qd1hND2kakXB8mSpVrOO1TV/XJ7QmKFFGOpeacwR1BF6IhsGdgi2nqjGWnc0GZ4iEGwzeqw++1r3AC16Bh51S0Bxvu4IrtaiYJzRQ8/uUEOwLCNJWu7GUyKD4lHIxixayt2tivIZk8zH6Vw0/9H5qtIHEYuyr6Nd2Vao6gYxys+lmEFcqekD2tlJFvjD3t5+PDExaddxQ5xzSWctzgcjOwEUNkTqL4vhYph9lf5lY+l3IK91D+DgcycTSPWwllpkUyByAchZ9vHy4HqSo7qjfGkiP97UxqooNjJklpG0qgViIxQZWwItUycSzZD9Lr/w44xDOL/5xfyy+/uN2nP/SKVDOsil+4udVKsbsSYIICmWD5UHbRKvsKKBGTDhmEebtZmXyeI18oZTTazWJcYhJ8Loarz0IuKWqse7Rpu5Q5UNuUF0kVBF3/0gbjKpoXzXNhdiqgq43WJ7uXA7pLcYcIEV9fJVH9Og6bEaXarFZdFEpp/viloFVprJbxZbq9FuRK6GKrfpp669hBxRHiB+X1b1RYqaIGcsYlGU+f4dJKOYqabZ4eF23jap5pGK32yK+YSiIMBHNsnxDjezX66Dy4bbngCJCcsTHBW6UNbmRCtB5uCal+BljuVyGblBj1nSTBjJzWBTOwfeCNZIUScnEgT5/RYGyS7MSqbgRaF1eVL5zIxyR2ZMb5laMi2Lm7ibIo1VbW9XHTTG4ChEoNIPSVPaWPpHJ4YdtntkLwVQBZljl2llMG6HPcIqRsZDnifP3c8zA3bBhRVDEfLwuLIqy16QKgOVGKSHhpykO3uU1sc2/U1lhSOD9C8rOPmc4wxMUBHyifOJu1abjRARWQHz84n/QsbyAMvT3MPl0cOBML539ktpxJIi71/p0dVVOvlw6V1dy/uXyqxethhfIRbzOAVXLhSTv4zyaCTOzqHZ/gYGc99JCzlEQOB/AaHcqf83cQJkw3NGouJ+UFTEiQXQeBRmq1Rxz9VT3z3XJFmgR8bZc08w/y53VkJSSIv6lcprwq8D9hl7rc2CVyNSOgHkJl2ixyT3NyjVpanDJWN7oGcWTTBq+RLx1V6XVBGO3vCgYWdqSb3Xz9EBWoUfbXpNaxZg5QRfUt5Ai1PaQmf2BXtR2gCp5xkXo1fddqoB8BZBmShGDWATZ6/wSIc6faYwiQBi03tMs9C03gR4BkBtYIGeB3M4Aud4OAbkAp2JuMdxuYrhX0jgWwG0ZwMF0TNwn+PG+AX7b5UVY+Gbh27XwbWjhm4VvFr7NIy4oVN5k8jlDREQx3veejkYdx4DrCnSX5VkRYBUguIBP8mp8b3iv48T4wIK+W4G+d2BI4l9a2Ldt2Pcd7NrZPTsL+h4q6Ht2F9BnyoKboD4juPtC2GfMyN8U911/dMECvy8DfoOtb9sBAhETP5bBpI64wmX5K+xdsVvHBxNKWu/p0wrJ3Sdg6y0Wt4BnnR3SWH9LGutfq7GXO6yxwZY0NrhWY8c7rLHhljQ2vFZjr3bjpulX0KtzdPrW+ZBr3Z53sOcdHvF5h8d7TvO5vVWwtwq7dKtwuLtbxAa0ck/bxB0HlCq7nv7+cVzfNZaMjpOxeBsbxnJytVkM8z+EvWLIg6KCPMVusTMaibnzvrC5xUCPae/Ye+gbx/aogN01/lpQ8NAeFbBHBexRgQeBA9/8x8LAu8PAN9iiQIsCLQq0KNCiwCYKHNkNQbshaM8O/CIf90J9zDlAPOkkgPUSnFB2OZleCszvCOzWHQPd1jnP3cdqJ0rpFpBtGZApp/8Ofpzc8XXYnyfraKQhn4UjFo48Vjiitp5KTOKnWbXT9CXPkrn2bykWlKwDJcenfzgZl25tcYn9h/Ej/IfxI0YkXYtILCKxiETWGToJKaOZkAa0GyL39eNVpXILPh4b+PhW/3Xd7XV8z79Z7RUrcLk/xwn6EzOeS9kd5GRxmU8VIHaWv+IAitfKS1VqZQTLXa1qLIGTNIblkrD9woa9pjdoaKOG5coHJQd4hrLY9KxmnWuChuq1DvXkssanqkfNa5hO49K0fPuEnk3dzxlml8VOfRv7aa+H6NaoIW4+272yizb9XmM5msJQHJdvKmgsQ1OlrocNkGqpK61aQdqFQhrgI9NT1StFukWx1cdKwCKRoU+pZUOXm1SsppvkWXRf+twkpcEkIjPacYrhDszK792k/KIE6UYCF1ca5u/L+d06tyWopJkbF6bNV6IxMo7H+UA6PL1ve3vr7F2vYevi5iZLl8Dmzqb+yhtOy9XRpu/DXfbKqpS/BEfBlSrnVq94oBdPuiUoKt/ekJeAVbc0AjjEVp0LlUxKQKsjE3e48iW362kXff2im6y+D7XvXf2i7+mcFXRze9r3bpAnxE/lGiQE1xzpxln0gZ/pA+uz9Ab6xep1H+7zQJe3lKWmvn8pyd9aMD4uyqT+X8e8Qjo/O8eVUzonuVPmrTN1c+8+72EPe8Mpng290QgPZ95gNPWGs8Af9EY4GOSNz6sq7e0t/w/eNA+tSmkAAA==
k8s-resources-cluster.json.gz:
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
k8s-resources-namespace.json.gz:
H4sIAAAAAAAC/+1dbVPbSBL+zq/QaXNX+BaCbTCQVKWuAoRN6pINCyRXV5uUayyNbRWypIwkDKHY377zIskjaeQXbGzZaj7hGWk06qe755meHs3DlqbpyHHcAAWW6/j6a+2BFtFC2/ID+uvP7/Tn4w67DJtWgDo2pqUBCTEv6zk4+GDSEie0bVFCkNe/dl07sDxaXueFfcvEp64TENdmj+gi2xf325Zz4/PH8J8Edwn2+7RA36/7uihzh/wK3i3ROVpquLaNPB/LrfGKPrZ6fdZzvVGve3d6UuEhB9ujluTWeD2yLeSfurZLuBQed+TKDiJ+9lG8wkR+/yN2egHrdKOeq8NFtwXId0NisBfQL4g7wEEfh76euqpr2TZrNl3okgHiL+hher8ThI4VpO+zzNxdNu5hx0zgHb31bU/VQSbhkBDaekHtAN0V1VhOQY3fd4eS8kg1AdU/u+CuW2SHIylKdWmEqCbxq7Kt84qhZQqAsjWS8iXFTJUvXMsJPrkmh4cVaMjXfmLipgUdIYB6WImyx1ohyLRC9phWvk6tHFTsJiaYsGd3bTcDro+Jhf3Pt5gQalWK/vseMnCRTtJKBs9+ujBAxo2yK36APQ+bH6kMlfUBIj0cpK0qa1n8Qnzn8ffxw8G2Q+XadtAA8562PddsG9Q5IPoQ8jr5r214YTv0qWzbPqalpt/mavKaNtEmKMAPhh3S/pE33/QX0b/f9B0taZiVJz++6Y81bU9jj78JO5mHtqnT4cZI//lBlS3wZ2x7R4tboBW03+xp+k5WBiPLDawBeysGZP4yy6F4cMPLWwqvpp2hRnGOjMBlMm3mLqFulDtl/a2eqnqUfqV1Jugzv+vaJoNSP6rvHNfTWsd6fE7dlOTqU3VXfasbqCsDPmTopxdftC+BRccVPtRo213anBYLvJZ5XDKAPGR9CCLYLHIwLgniMSfrQdrBvcf7YTmmdWuZIXU4hc4kvta3nJ5Nu4cyNniH7iw/37lOaNwIa8iKgfnFyJswaWVA15kqqe8q9pmJX+RDtPo97tEdnsI4R4pJH0eCvEraqINtZQdZpds7QXwkbuTqxDChvE2ME/VcufTGaeXdKe1LKKui98iOWhkr3FK83kbTkibQEqAlQEtmoyW2NbCAlCyNlAhxAyUBSgKUpAKUZB8oCVCSUlKSERUY4IFL7ttDl9zQAYAO00G7cx/gmTlB0uI/aA270hpQTMSPpUVIxMsAH8nzkU9cMoKS/IQ4CZASICUVJSUHQEqAlAApWVZ8BCjJNJQEoiRASICQZAjJVsYwqRl7GGWNKir9QJ0ANyJ19aU7TKXTJB26jswxneySGOl7jEwxhKbrrqyfvL5/KGwmwmKWNJpma1PSaOp5ltUClpVjWfXNZFnjnRBXW9bWj5CKWdtNJtx5d2Qw5WaX/nLePHjVOs1fkWiskghE6ph3oH3LNLFzJehFwc0sk26UXae8JNFida2EdJ6BpKjkTF48J0BBD8aK7/zV8X69IuIrpHDT8P1GU0n4c2a8WeuinXttmz5tHkY+kXILtM+T9h4e6BMfH/WCC6lkbwp5AxU+R3Amu0kkbSAbETHLiecl3JRmntUwDkwLKd826U9pjhO7tJfzLwbPLNfJbnUDBCxc3irFW+R0nyzc6WaeGXKwoHV55kxKObvkOe4wsYSJ5QZNLGV9GmeHMK8cH9/n08pDmFZC8H5GMj979N4P7u2Z5rbX+YFGKDseMYn/07/dT592z8609+9fDwavfQWd8FBA3Y1T3GY8Uoo5mf60maSaBIwmkZGOKH2tEXuKNEBPfWETG9YAcf/UVM0Jb9QGFFVe82nXiY0mXZfQG/2MUOeime7Q0ZWXfiHMZvWx0Hxl1qv98lYBTzF5S8HnhIMOtYVcPV+zTMbVp6N7OT7IAgBPBfBJ+QHW/gkQzwPx6fNBLKchPB3oj+OifQDyVCCfldeOBbxgxfMB/K7MVnzhmuuBblFc/hnBfbln7h22jhv44BAf4JZx1EEHdVQ/Ojw43H/Vwt2jTnN/7+bY342Dgf6u55r/uUVkdzSVfPNi9P+/WFUcd4yjjrxwFHYcBR15BW3wzYt228B00jlO1zwVjmXwIyXXLkmEey//vfd0GfoBsZzebDIsDrNu3ooN/4bIM2RPZWPi+rj8qkUvLizvuwJrI+ST5xDyylV7uR+RWBuwT5dtUQvbErs2Ij6rqj1VD+p3+hqsz/7B1pzLtT5LkOMzJNU4JgxNUQXrt7B+u6Hrt2k7hfXbafKCj2ABF/KCIS8Y8oIhL7hw6rD4fYDahI2AkBD8TAnBC9n9CDnBY3KCVyvhTUkLjveiskiEtj3cczUDGX1cgyzhFc8yubuHWWZFZ5myWcJEc5ZE4WOYZ0KiMCQKz5korPQ/kKFUrlxhQRHmAhjShUueLrxAjCHXcIMzhiOsIWm41EnDC7BmyBve+LzhdEzm8uqqBmDPA/Z5qQ06gvk0H3YDoGcE+rd1APpqiDzAeS6c35cTZ9jvUQwr7PeA/R5rtN9j6V/khX0eSzkdodpbPVam1Us/BQN2eSzjw97V3uhRZmuqJMrvloIy8efFdY1Eer4UkfKUo+oI9belCNUfIq86Mn2vr0eiHWzxgi1ekHy3Fsl3sMtr5uS7V+miyMOzthoDHRLzIDEPEvPm/YKnsALtEhvYusXaCXJMoU2wolTOLL0Tz58T62vG0Oh8HsAufbre08G+pBhobjc2bFO7QIJFA9QlzdmbG+rYrgNAu/SZe97CDVs7Iy6jMgB5WRP5nsPAAfWSZ/Q9HfWKp/9ogat5rulDGhCkAW1KGpDFvsQnLa04OGCLvG0ixnKxyis+3DdxqeWvzAf7/qQ6yJpvx2Gy77WKpwEVSTuIhtHqivtkmeKOldsTjKWK8j5diXpXWOBnq1RwU1DyKsr93UoVvcKCPy/992ij4PPvArwynh0KiQuQuACJC1PbLGQw5DIYFN+pzZRBnsIGf6h29jyFwxV+HbScwYjSfxx0RfxpfIIGfFFx+dyIrc0DM1oBM9rZCF7QAF4AvGCdeMGKw+ZADNTEYEI2HzADYAYQM1lezCRvhRAnmYoPNYEPAR9axzjJqpZZgRAVREqmyXwHWgS0CAIma0UQ9oEgAEFYy4AJMIRyMoRJG6aAJABJgNjJ8mInsV1mbREiKFMRpAMgSECQ1jmCsqr8XeBJs0VSlJtOgSwBWYKIyloRhhYQBiAMax1RAcawNpEVIA1AGiDCUq4IS84mIdIyumr0TYrdxtSU6hAoFVCqslEqOnu3tymvotxGHPiwneFXXb9NMDKTFarsuRFKYjWGV7UG32var1r+KUNiSbnDi3hMDYjaU4jah88XV9uXDPNf/8cxqQEvg73WEM5Z53DOEXAP4B4lDOdMph2pHUXPTT4W/jBgIE/at9QnbtjrX4QB5yGChgALgegQRIdWFR26ok6InSn+4TMEhGY5pqZxDMwrx7yqcRaNGGoyQFNzoIUHGeHSBoy8Y3uEs22e62ybUYyjVqpPHO824DibhXy4mgOsCl8BwiU6w2ZuhLkJ0xkdIF3yI2zmQTqaDnrRdLAGB1rMA/JZGY+kkiBWTPYB4/IcVbMQjJkZx14boJ4L6vMyQg3n02hJ+BhOqYFTajbllJqlZolU8mSacRJ+hgyZKp5Gs5GpTlU85mYFi8eVPN1mCp9UPUG/2wyFLlE2BByVM/1ROYrl2FJkRcA5OZC7CXkTyrwJbVc7s9gMrhPyp0xIo9iK+q37Rh8P0FdMfNE38S0PsULL7jARueGNUavqjTRTvwnpfNvB1IXrSVsBHng2fUmnl1iabtNOSfo8UgIp9SCVfxHgO64TJu6i0M4si3MTkmtVmbRs7RanNbVAlWIzlvMwpFrXY6LMelr9R4jJPY9YqPI1mLtnPjqtmLS0h+8y40PisKTHb2VeRxIYsu2v0ftnXmOCKAtkqBbeFCkpsYClwZD6bzpOm/itrcjwKJL+gCJoKS6PUYlG/lkg4U9qC0+7zXS0TRlP23K6bsIpamqwmpPAioYxGVRqEhwR/4/4+Xq6NtdRVqa+OFIF8SZSRejja9GQ7JjWQj/qz6wfCQNcjIYod3E/Stu4N0NztuJh7FE4bYsLM3LXXcEfdccd7jbizFPK+6IyPXWbZ1H2REY3RyJJNrXLREZvSV/VatSlH/vyj8Zg9H9L+r8h/9ivyzXS986b0v8NU+jv9/gdWDq0pBwTnyI3fCg3LD+leSD/kLazHplyf+O+pMT30+XpUfqX69NohI2H9f8mg6u2p526Ay8MsHYZh+hp2e+xSmrbF26cZaSHPCdQP26h1mGzfnRsmN0j+vcKI9RApnmwbxjYaAhr0W+TIb++9fg3EPUsi+wVAQA=
k8s-resources-node.json.gz:
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k8s-resources-pod.json.gz:
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k8s-resources-workload.json.gz:
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k8s-resources-workloads-namespace.json.gz:
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kubelet.json.gz:
H4sIAAAAAAAC/+2d62/bOBLAv+evELR3QAP4un4m8QH90KYPLNpuc2m2B9y2EGiJlnWRRZWi8tgg97ffkHqYejix4/g9X4KYpChyZjjz00iU7g4Mw7QsLwhjEZn/NP780UhKOP0Ze5xqZSQImCDCY4EsvIMiKPS9SKgm8PNeNaOOJ8jAp1A6JH5EVaEbUPGbA0VB7PtJCSfh6IIxX3ghlDdV4chz6CkLBGd+VDjeKxzre8GlNjBOhzDQERSYnWZkJmXsWrVQo0zGCqU2830SRoWxFSqcSk1IAupPutK7S44k9oheeGPKYqGNcVLPfMbfEPvS5SwOKv1P2nwjfkynVxeHoMp/aff7dvfIbBSLuTsgL9qd44bRavcbRrfZMJovT/qH5Xa/ON0u6RBTK/1ROK9DBIlYzG05LPOMszEVIxpHhY7MIeNjIqduBiygxTqXxC7NjSUvHpObbLatZrM0rLEXZJXlqmjEruskBFViJE2A+c4nMqBF46lr9ZnwS6pkKnhMtUb3xfFzzzljytyLFcoe28WiQFB+Rfw6IygarCaHMPQC9+I2VKKYVldVfVGe0DogY6WkKyk5QzBD0BtRUriRVstTFSruG7N1zkngztB5u9j5VPMCK3gLFnbGQHJR1RRMKUVV+Zk56vw2CwJqC1iklXYXckQ1gg9ZJIbejTzarKt4D87mq/eX6r7X/HupDTiW2mNV+YOHKlF9Bo/yuOqGsK7U6oGxV4UqkomZv//6uqaS5QfOKPMI3FnFcqGQX4KJ1qzUoef7p9L9KP1Lx9JpgV9pncCfk750LK2TimMZygHVL0B5Fr2/pLs2uKhWv1PpSF/vU9eoCjbQZzwOqqoShLtUzKAFehOqMUXx+MVlDC6ECisAu7Ok8d/ZfhzB6n713fxb+u93s2H8lw2gJG393bw/rGpo4hwFhAgrotyjUbVZ5jveE1so2bQrTXzq0sB5n/dX7QSsUoVY8/Ws1pC7w6hGcp5QMdw8j4MAHJHxMZlnyfuLPILflXVH+CScTtde4vvMCE7h0wj4oti/cir6UjspLzXVYralxuQ4zVdzrrLMr8210NRBv6eOE0La5Dht/ggSCBJSkR0ECQQJBImdBQmehFArZE40G0s0DC+AYBjY9NX/oGH2Q0KG8eXcmNK5ZUNkEAufYZUYc3eXnfn+fuVIcwb6QJxBnEGceVac6SLOIM4gzuw8zoDdCQID58uDmvwUiDbzoc1pJjjkG+Qb5Jtn5Zse8g3yDfLNzvHNleyMWmMSEBeIQzBBfCspXJRwGoaMlRTaAj/E0K36abGhdc247+wFmrxWMze+KYECoADPIZwgnCCcPCucHCGcIJwgnCCczAEnGZs4NPIg0O4jnLxNpo50gnSCdLI8OjlGOkE6QTrZOTrhAAzF52bB8oaea1HOGV/0ts2fvfGPw91nkFMlMuOdFBkSyLMQyEGpPagupKTs99LS38BM1P6m+upzdl3YwpSvt4tUgcWNQxO0JNFowAh3DOjBLNZnkh4daRWpmji0PtC0uMxdTMT3SHSaQVMpcg8Ir6UDoJ1o9IkGrhipWFSpo9MOmwmSPOUSW5XCD5w4Hg1EmXYeQY+TIl6oBV9dSiAIN3gdXaQ72CTqlDwsuXKneGo75jwZV81hELqnHCYttr6Ge+4IFqMzZSSpr6+rgWP+7TlKL+UArxyJINPCjVpMj1KeDEpRzblVxXV65tYsQFdBlkpQN0MKphII4tazfiiPljYRR5Wbc2FGStXDQFUO5VSFsKHPSr6w1k8kslVR5ssVRDaQcs2MgA1sOm1ZpDRRzNKBK7YvawcJoTIMqfMpIY1q/eLBmkOYkcGThanzi5LcQn3MLofshyO2Mbg1XuQdW9KxTYL82uK5cXdXHNMSQnzJJOR03ifQWrEnWfd15A1FfWUaRL5kIzbOQXtP4oKyj2Bc1FwwqvVvZTHICxzvynNiUgjG9VihdvQWR3ZDbryoOq5BbF8mVlvjnMapH5ByKdNtellVc9R0X5g7NLVHuX4Kt+RmlkvGiX2ysMYufXkdXTs8WcncNySqXLRqsaH2sCQ41FZpU57r2nRLZqEvtEdTSnvAL33kF+QX5JcZ+EXlHJ4bY7LShlGEB8SYp2FMkuVAmNk/mGluP8k0F8UYzEthXirlutL4EOwQ7NYIdq32ushu5EWCQdgdWz9jAkzn0xfNl/1+w5gF+Zw4BaGI2ixwIiuJykunv4bh00NEwKchYKY0o98XIyPTOuLgmnFwFzJbW5fXQiBEIMyAsIVAiECImb4y9skX3MD5uajS3gObwxeAvfVxHUx1DpBrLCDQayaf6tx9iSbzfECobzaDjs+YY3yVRo6pUUyN7mVqdH/v8JZyLwh+CH77CH6zJwJXToRrTvctBQvnE/c0XlxavnWtAt8+anybKgbJcZ+yqM1tT6HiDXXMnz4bRnfWi9HyI0bvxqG4nV79H8oZMjgy+OYnX4ENOUh0cq99dag9OaUM6g0jfQNG6MeuF2zGPXc5MFVUGNs23IX/mujVwH0lmG/EfOOeglIXQQlBCUFpSaC0sm0oiEcrwCPcr4KQtL+QhOk1TK9l1NhDakRqxM0uS77HPUPi7aF7rvO+XG0euNygTS+7RJhvcTsM3sjFG7lImkiaKWke4fOQCIuYYiw/h2fL96KH+acA5rkh+2xYuIZX32zfVudTpSgjVdREegbHNCKmEfFe6z6xzDGyDLIM7u2YebPBY5CzkuQXvuLlObgH81mYz8J8Fuazti2fBeHV5l6Y6kNtsvK9IbVvbZ8a9AqYwADHLTXG+JLpET9egfSI9FjdkQorweLUB6pcXRpsdz5E9fz7UD+9+2Ak+sAcF+a4MMe1Xzku/EQFUgpSyhwv1NDwJWOD3X6jxnYhTP59YsQYzFlhzgpzVvvHdG38OgUyHT6w/0So24/XpG0X1Dn4hjSEOoQ6hLo9hronfWGizgHOQnW18LYg1tU646VynapEsNs5sMv5DfhDWLYvlxPg20/Qupjr5R3TbiE2bFCkLGu/fJnT2ypRrX1zs8SPSSxdbJ01ia3zoNjebLrYumsSW/dBsZ1uuth6axJb70Gxvd2My6jzs1N8Aw7e1sc34ODl015fPuF3WjAnjpdOM+TEa3BtsZz4fBt5QLCDhhFzf+17eORI1D8wmG1ImJ8nysJPNGPqHFPnyH7Ifjn7dTB1jqnzTeK/7rrwL+TMplEEYCeNBAhvTMeM31qDW0GjxR5xwCcZpoHZZyVjBLA1A5iy8VUyTG3V4hy24fPAHTYl+ugifSB9IH3I6xqZX8oQxA7jPJ30XN/bQAaZ+nqXsz+MOJJWjBiy5jzQSEpv23NBGzwJBJASgPQQQBBAEEBknGGWyziLhVQgpjuWgxofcgkja+wbaywp5bHh89jlO1AH6QzMyB7RMflGeZSMMvkSKfjo2+RUDuGXqiNwy+7ESpUr5QGVOau8L0HHoQ/TDdx81Zlyo5dm2xNr0OCigG6C3ijjcOiQxH4pgqnlpNfWkaD68FTRuUyxqWxJ6win1TL1wrmyNzV/xpTfpmn3KupJxy39cNFCodSl0jpNvWmmF+30B6XpaAIjvv8tnX9pGpoodTnMAKaZrLRoBW4X4qZDX/s1PJUL0kxjq97XGDTi1RyTSbnmkMdErE5nJV5U7eu0QuZYXjBkDSPt7rBe+O3HhJ+GIF1JYOJKwtG/svObxdrKQGVZfeNUtclMtIo4ohdJRzqNrlrfzWn6LsawaevmMU1nYLOQquUWXh4HCrvyN+8+mFUqv0zufvKU0m5YyUEWjO4Th+spcaeudpjwnRmw63+0MhYCPkvLzMJhoQcUxCcHpyLJX36jA4nZm5iQ2WpqPzr6j9Z48n9P+7+l/+g09ZoJsZlt7f+Wk/jBH9kcEhPI7efRs+gdH+kd62dpd/UfzuT/Y0cfbzaWgvj+Yurixfzj4jSNjlls/pgHRuNX42NiiUmTWF23m51W52RIWr2e0+u3esdH/eHAoc5J/4TYzf7Q6SeNr/KI3Dy4/z8AoeXSG+4AAA==
namespace-by-pod.json.gz:
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
namespace-by-workload.json.gz:
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
persistentvolumesusage.json.gz:
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pod-total.json.gz:
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proxy.json.gz:
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scheduler.json.gz:
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workload-total.json.gz:
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@ -7,4 +7,7 @@ curl -L -s -o - https://github.com/prometheus-community/helm-charts/releases/dow
# The grpc alerts could be re-enabled with etcd 3.5 # The grpc alerts could be re-enabled with etcd 3.5
# https://github.com/etcd-io/etcd/pull/12196 # https://github.com/etcd-io/etcd/pull/12196
patch -p0 -i metrics-zdt.path --no-backup-if-mismatch patch -p0 -i metrics-zdt.patch --no-backup-if-mismatch
# Create ZDT dashboard configmap
./sync_grafana_dashboards.py dashboards/kube-mixin.yaml templates/grafana-dashboards.yaml

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@ -129,6 +129,8 @@ kube-prometheus-stack:
rbac: rbac:
pspEnabled: false pspEnabled: false
defaultDashboardsEnabled: false
grafana.ini: grafana.ini:
server: server:
enable_gzip: true enable_gzip: true