4?安裝和配置可視化?UI?界面?Grafana
安裝?Grafana?需要的鏡像. ? heapster-grafana-amd64_v5_0_4.tar.gz?
cat grafana.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
? name: monitoring-grafana
? namespace: kube-system
spec:
? replicas: 1
? selector:
? ? matchLabels:
? ? ? task: monitoring
? ? ? k8s-app: grafana
? template:
? ? metadata:
? ? ? labels:
? ? ? ? task: monitoring
? ? ? ? k8s-app: grafana
? ? spec:
? ? ? containers:
? ? ? - name: grafana
? ? ? ? image: k8s.gcr.io/heapster-grafana-amd64:v5.0.4
? ? ? ? ports:
? ? ? ? - containerPort: 3000
? ? ? ? ? protocol: TCP
? ? ? ? volumeMounts:
? ? ? ? - mountPath: /etc/ssl/certs
? ? ? ? ? name: ca-certificates
? ? ? ? ? readOnly: true
? ? ? ? - mountPath: /var
? ? ? ? ? name: grafana-storage
? ? ? ? env:
? ? ? ? - name: INFLUXDB_HOST
? ? ? ? ? value: monitoring-influxdb
? ? ? ? - name: GF_SERVER_HTTP_PORT
? ? ? ? ? value: "3000"
? ? ? ? ? # The following env variables are required to make Grafana accessible via
? ? ? ? ? # the kubernetes api-server proxy. On production clusters, we recommend
? ? ? ? ? # removing these env variables, setup auth for grafana, and expose the grafana
? ? ? ? ? # service using a LoadBalancer or a public IP.
? ? ? ? - 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
? ? ? ? ? # If you're only using the API Server proxy, set this value instead:
? ? ? ? ? # value: /api/v1/namespaces/kube-system/services/monitoring-grafana/proxy
? ? ? ? ? value: /
? ? ? volumes:
? ? ? - name: ca-certificates
? ? ? ? hostPath:
? ? ? ? ? path: /etc/ssl/certs
? ? ? - name: grafana-storage
? ? ? ? emptyDir: {}
---
apiVersion: v1
kind: Service
metadata:
? labels:
? ? # For use as a Cluster add-on (https://github.com/kubernetes/kubernetes/tree/master/cluster/addons)
? ? # If you are NOT using this as an addon, you should comment out this line.
? ? kubernetes.io/cluster-service: 'true'
? ? kubernetes.io/name: monitoring-grafana
? name: monitoring-grafana
? namespace: kube-system
spec:
? # In a production setup, we recommend accessing Grafana through an external Loadbalancer
? # or through a public IP.
? # type: LoadBalancer
? # You could also use NodePort to expose the service at a randomly-generated port
? # type: NodePort
? ports:
? - port: 80
? ? targetPort: 3000
? selector:
? ? k8s-app: grafana
? type: NodePort
kubectl get pods -n kube-system| grep monitor
monitoring-grafana-675798bf47-9l8f8? ? ? ? 1/1? ? Running? 0? ? ? ? ? 9s
#查看?grafana?前端的?service
kubectl get svc -n kube-system | grep grafana
monitoring-grafana NodePort 10.97.239.168 <none> 80:31308/TCP 21h
#登陸?grafana，在瀏覽器訪問
192.168.172.164:31308
#配置?grafana?界面
開始配置?grafana?的?web?界面: 選擇?Create your first data source
Name: Prometheus
Type: Prometheus
HTTP?
處的?URL?如下:?http://prometheus.monitor-sa.svc:9090?配置好的整體頁面如下:
點擊左下角?Save & Test，出現(xiàn)如下?Data source is working，說明?prometheus?數(shù)據(jù)源成功的 被?grafana?接入了:
導(dǎo)入監(jiān)控模板，可在如下鏈接搜索?https://grafana.com/dashboards?dataSource=prometheus&search=kubernetes
可直接導(dǎo)入?node_exporter.json?監(jiān)控模板，這個可以把?node?節(jié)點指標(biāo)顯示出來
也可直接導(dǎo)入?docker_rev1.json，這個可以把容器資源指標(biāo)顯示 出來，node_exporter.json?和?docker_rev1.json?
怎么導(dǎo)入監(jiān)控模板，按如下步驟
上面 Save & Test?測試沒問題之后，就可以返回?Grafana?主頁面
點擊左側(cè)+號下面的?Import
選擇?Upload json file，上傳prometheus-cfg.yaml
選擇一個本地的?json?文件，我們選擇的是上面讓大家下載的?node_exporter.json?這個文件，選擇 之后出現(xiàn)如下:
注:箭頭標(biāo)注的地方?Name?后面的名字是?node_exporter.json?定義的
Prometheus?后面需要變成?Prometheus，然后再點擊?Import，就可以出現(xiàn)如下界面:
導(dǎo)入?docker_rev1.json?監(jiān)控模板，步驟和上面導(dǎo)入?node_exporter.json?步驟一樣，導(dǎo)入之后顯示 如下:
