这篇文章给大家分享的是有关Kubernetes 1.8.4中如何安装Heapster的内容。小编觉得挺实用的，因此分享给大家做个参考，一起跟随小编过来看看吧。
Heapster 是 Kubernetes 社区维护的容器集群监控分析工具。Heapster 会从 Kubernetes apiserver 获得所有 Node 信息，然后再通过这些 Node 来获得 kubelet 上的数据，最后再将所有收集到数据送到 Heapster 的后台储存 InfluxDB，最后利用 Grafana 来抓取 InfluxDB 的数据源来进行可视化。
在master通过 kubectl 来创建 kubernetes monitor 即可
生成kube-heapster.yml
cat <<EOF > kube-heapster.yml
apiVersion: v1
kind: ServiceAccount
metadata:
name: heapster-sa
namespace: kube-system
labels:
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: heapster-binding
labels:
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: system:heapster
subjects:
- kind: ServiceAccount
name: heapster
namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
name: system:pod-nanny
namespace: kube-system
labels:
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
rules:
- apiGroups:
- ""
resources:
- pods
verbs:
- get
- apiGroups:
- "extensions"
resources:
- deployments
verbs:
- get
- update
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
name: heapster-binding
namespace: kube-system
labels:
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: Role
name: system:pod-nanny
subjects:
- kind: ServiceAccount
name: heapster
namespace: kube-system
---
kind: Service
apiVersion: v1
metadata:
name: heapster
namespace: kube-system
labels:
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
spec:
ports:
- port: 80
targetPort: 8082
selector:
k8s-app: heapster
---
apiVersion: v1
kind: Service
metadata:
name: monitoring-grafana
namespace: kube-system
labels:
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
spec:
ports:
- port: 80
protocol: TCP
targetPort: ui
selector:
k8s-app: influxGrafana
---
apiVersion: v1
kind: Service
metadata:
name: monitoring-influxdb
namespace: kube-system
labels:
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
spec:
ports:
- name: http
port: 8083
targetPort: 8083
- name: api
port: 8086
targetPort: 8086
selector:
k8s-app: influxGrafana
---
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
name: heapster
labels:
k8s-app: heapster
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
namespace: kube-system
spec:
replicas: 1
selector:
matchLabels:
k8s-app: heapster
template:
metadata:
labels:
k8s-app: heapster
annotations:
scheduler.alpha.kubernetes.io/critical-pod: ''
spec:
serviceAccountName: heapster-sa
tolerations:
- key: node-role.kubernetes.io/master
effect: NoSchedule
- key: "CriticalAddonsOnly"
operator: "Exists"
containers:
- image: registry.cn-shenzhen.aliyuncs.com/rancher_cn/heapster-amd64:v1.5.0-beta.0
name: heapster
livenessProbe:
httpGet:
path: /healthz
port: 8082
scheme: HTTP
initialDelaySeconds: 180
timeoutSeconds: 5
command:
- /heapster
- --source=kubernetes.summary_api:''
- --sink=influxdb:http://monitoring-influxdb:8086
- image: registry.cn-shenzhen.aliyuncs.com/rancher_cn/heapster-amd64:v1.5.0-beta.0
name: eventer
command:
- /eventer
- --source=kubernetes:''
- --sink=influxdb:http://monitoring-influxdb:8086
- image: registry.cn-hangzhou.aliyuncs.com/google_containers/addon-resizer:1.7
name: heapster-nanny
resources:
limits:
cpu: 100m
memory: 128Mi
requests:
cpu: 50m
memory: 90Mi
env:
- name: MY_POD_NAME
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: MY_POD_NAMESPACE
valueFrom:
fieldRef:
fieldPath: metadata.namespace
command:
- /pod_nanny
- --cpu=80m
- --extra-cpu=0.5m
- --memory=140Mi
- --extra-memory=4Mi
- --threshold=5
- --deployment=heapster
- --container=heapster
- --poll-period=300000
- --estimator=exponential
- image: registry.cn-hangzhou.aliyuncs.com/google_containers/addon-resizer:1.7
name: eventer-nanny
resources:
limits:
cpu: 100m
memory: 128Mi
requests:
cpu: 50m
memory: 90Mi
env:
- name: MY_POD_NAME
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: MY_POD_NAMESPACE
valueFrom:
fieldRef:
fieldPath: metadata.namespace
command:
- /pod_nanny
- --cpu=100m
- --extra-cpu=0m
- --memory=190Mi
- --extra-memory=500Ki
- --threshold=5
- --deployment=heapster
- --container=eventer
- --poll-period=300000
- --estimator=exponential
---
kind: Deployment
apiVersion: extensions/v1beta1
metadata:
name: influxdb-grafana
namespace: kube-system
labels:
k8s-app: influxGrafana
kubernetes.io/cluster-service: "true"
addonmanager.kubernetes.io/mode: Reconcile
spec:
replicas: 1
selector:
matchLabels:
k8s-app: influxGrafana
template:
metadata:
labels:
k8s-app: influxGrafana
annotations:
scheduler.alpha.kubernetes.io/critical-pod: ''
spec:
tolerations:
- key: node-role.kubernetes.io/master
effect: NoSchedule
- key: "CriticalAddonsOnly"
operator: "Exists"
containers:
- name: influxdb
image: registry.cn-shenzhen.aliyuncs.com/rancher_cn/heapster-influxdb-amd64:v1.3.3
resources:
limits:
cpu: 100m
memory: 500Mi
requests:
cpu: 100m
memory: 500Mi
ports:
- name: http
containerPort: 8083
- name: api
containerPort: 8086
volumeMounts:
- name: influxdb-persistent-storage
mountPath: /data
- name: grafana
image: registry.cn-shenzhen.aliyuncs.com/rancher_cn/heapster-grafana-amd64:v4.4.3
env:
resources:
limits:
cpu: 100m
memory: 100Mi
requests:
cpu: 100m
memory: 100Mi
env:
- name: INFLUXDB_SERVICE_URL
value: http://monitoring-influxdb:8086
- name: GF_AUTH_BASIC_ENABLED
value: "false"
- name: GF_AUTH_ANONYMOUS_ENABLED
value: "true"
- name: GF_AUTH_ANONYMOUS_ORG_ROLE
value: Admin
- name: GF_SERVER_ROOT_URL
value: /api/v1/proxy/namespaces/kube-system/services/monitoring-grafana/
ports:
- name: ui
containerPort: 3000
protocol: TCP
volumeMounts:
- name: grafana-persistent-storage
mountPath: /var
volumes:
- name: influxdb-persistent-storage
emptyDir: {}
- name: grafana-persistent-storage
emptyDir: {}
EOFkubectl apply -f kube-heapster.yml
查看状态
kubectl -n kube-system get po,svc
完成后，就可以通过浏览器访问Grafana Dashboard
https://10.0.0.162:6443/api/v1/proxy/namespaces/kube-system/services/monitoring-grafana
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