4 安装和配置可视化 UI 界面 Grafana
安装 Grafana 需要的镜像. 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
#登陆 grafana，在浏览器访问
192.168.172.164:31308
#配置 grafana 界面
开始配置 grafana 的 web 界面: 选择 Create your first data source
Name: Prometheus
Type: Prometheus
HTTP
处的 URL 如下: http://prometheus.monitor-sa.svc:9090 配置好的整体页面如下:
点击左下角 Save & Test，出现如下 Data source is working，说明 prometheus 数据源成功的 被 grafana 接入了:
导入监控模板，可在如下链接搜索 https://grafana.com/dashboards?dataSource=prometheus&search=kubernetes
可直接导入 node_exporter.json 监控模板，这个可以把 node 节点指标显示出来
也可直接导入 docker_rev1.json，这个可以把容器资源指标显示 出来，node_exporter.json 和 docker_rev1.json
怎么导入监控模板，按如下步骤
上面 Save & Test 测试没问题之后，就可以返回 Grafana 主页面
点击左侧+号下面的 Import
选择 Upload json file，上传prometheus-cfg.yaml
选择一个本地的 json 文件，我们选择的是上面让大家下载的 node_exporter.json 这个文件，选择 之后出现如下:
注:箭头标注的地方 Name 后面的名字是 node_exporter.json 定义的
Prometheus 后面需要变成 Prometheus，然后再点击 Import，就可以出现如下界面:
导入 docker_rev1.json 监控模板，步骤和上面导入 node_exporter.json 步骤一样，导入之后显示 如下: