监控实践: 基于K8S部署Prometheus+Grafana

kevinaoc

发布于 2022-6-22 17:19

3.3w浏览

2收藏

作者 |Lizeyang
来源 |DevOps云学堂（ID：idevopsvip）

使用Prometheus对系统进行监控，使用Grafana进行数据展示。我的环境是K8S，我的部署方式是通过 yaml文件进行部署。已经部署文件上传到了Github 地址：https://github.com/zeyangli/devops-on-k8s.

1、部署node-exporter对集群进行监控

部署node-expoter对k8s集群监控

使用DaemonSet方式
使用最新镜像：node-exporter:v0.18.1

部署描述文件如下：

在这里我创建了一个DaemonSet类型的部署，会在每个node节点上运行。运行的Namespace是在kube-system中。创建service 使用nodePort方式映射端口。

---
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: node-exporter
  namespace: kube-system
  labels:
    k8s-app: node-exporter
spec:
  selector:
    matchLabels:
      name: node-exporter
  template:
    metadata:
      labels:
        name: node-exporter
    spec:
      containers:
      - name: node-exporter
        image: prom/node-exporter:v0.18.1
        ports:
        - containerPort: 9100
          protocol: TCP
          name: http
---
apiVersion: v1
kind: Service
metadata:
  labels:
    k8s-app: node-exporter
  name: node-exporter
  namespace: kube-system
spec:
  ports:
  - name: http
    port: 9100
    nodePort: 31672
    protocol: TCP
  type: NodePort
  selector:
    k8s-app: node-exporter1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
21.
22.
23.
24.
25.
26.
27.
28.
29.
30.
31.
32.
33.
34.
35.
36.
37.
38.
39.
40.
41.

2、部署Prometheus服务

部署prometheus服务

deploy.yaml

这里我创建了一个应用部署文件deployment对象，挂载configmap配置文件和volume存储持久化数据。

---
apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    name: prometheus-deployment
  name: prometheus
  namespace: kube-system
spec:
  replicas: 1
  selector:
    matchLabels:
      app: prometheus
  template:
    metadata:
      labels:
        app: prometheus
    spec:
      containers:
      - image: prom/prometheus:v2.15.2
        name: prometheus
        command:
        - "/bin/prometheus"
        args:
        - "--config.file=/etc/prometheus/prometheus.yml"
        - "--storage.tsdb.path=/prometheus"
        - "--storage.tsdb.retention=24h"
        ports:
        - containerPort: 9090
          protocol: TCP
        volumeMounts:
        - mountPath: "/prometheus"
          name: data
        - mountPath: "/etc/prometheus"
          name: config-volume
        resources:
          requests:
            cpu: 100m
            memory: 100Mi
          limits:
            cpu: 500m
            memory: 2500Mi
      serviceAccountName: prometheus
      volumes:
      - name: data
        hostPath:
          path: /data/devops/prometheus
          type: Directory
      - name: config-volume
        configMap:
          name: prometheus-config1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
21.
22.
23.
24.
25.
26.
27.
28.
29.
30.
31.
32.
33.
34.
35.
36.
37.
38.
39.
40.
41.
42.
43.
44.
45.
46.
47.
48.
49.
50.
51.

service.yaml

这里我创建了一个service对象，nodePort方式暴露30003端口进行访问。

---
kind: Service
apiVersion: v1
metadata:
  labels:
    app: prometheus
  name: prometheus
  namespace: kube-system
spec:
  type: NodePort
  ports:
  - port: 9090
    targetPort: 9090
    nodePort: 30003
  selector:
    app: prometheus1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.

RBAC Setting(配置应用程序权限)

apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: prometheus
rules:
- apiGroups: [""]
  resources:
  - nodes
  - nodes/proxy
  - services
  - endpoints
  - pods
  verbs: ["get", "list", "watch"]
- apiGroups:
  - extensions
  resources:
  - ingresses
  verbs: ["get", "list", "watch"]
- nonResourceURLs: ["/metrics"]
  verbs: ["get"]
---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: prometheus
  namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: prometheus
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: prometheus
subjects:
- kind: ServiceAccount
  name: prometheus
  namespace: kube-system1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
21.
22.
23.
24.
25.
26.
27.
28.
29.
30.
31.
32.
33.
34.
35.
36.
37.
38.
39.

3、部署Grafana服务

deployment

apiVersion: apps/v1
kind: Deployment
metadata:
  name: grafana-core
  namespace: kube-system
  labels:
    app: grafana
    component: core
spec:
  selector:
    matchLabels:
      app: grafana
  replicas: 1
  template:
    metadata:
      labels:
        app: grafana
        component: core
    spec:
      containers:
      - image: grafana/grafana:6.5.3
        name: grafana-core
        imagePullPolicy: IfNotPresent
        env:
          # The following env variables set up basic auth twith the default admin user and admin password.
          - name: GF_AUTH_BASIC_ENABLED
            value: "true"
          - name: GF_AUTH_ANONYMOUS_ENABLED
            value: "false"
          # - name: GF_AUTH_ANONYMOUS_ORG_ROLE
          #   value: Admin
          # does not really work, because of template variables in exported dashboards:
          # - name: GF_DASHBOARDS_JSON_ENABLED
          #   value: "true"
        readinessProbe:
          httpGet:
            path: /login
            port: 3000
          # initialDelaySeconds: 30
          # timeoutSeconds: 1
        volumeMounts:
        - name: grafana-persistent-storage
          mountPath: /var
      volumes:
      - name: grafana-persistent-storage
        hostPath:
          path: /data/devops/grafana
          type: Directory1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
21.
22.
23.
24.
25.
26.
27.
28.
29.
30.
31.
32.
33.
34.
35.
36.
37.
38.
39.
40.
41.
42.
43.
44.
45.
46.
47.
48.

service

apiVersion: v1
kind: Service
metadata:
  name: grafana
  namespace: kube-system
  labels:
    app: grafana
    component: core
spec:
  type: NodePort
  ports:
    - port: 3000
      nodePort: 30011
  selector:
    app: grafana
    component: core1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.

4、访问验证

我们先看下dashboard中pod运行状态监控实践: 基于K8S部署Prometheus+Grafana-鸿蒙开发者社区

然后看下pometheus中是否有数据监控实践: 基于K8S部署Prometheus+Grafana-鸿蒙开发者社区

访问Grafana 监控实践: 基于K8S部署Prometheus+Grafana-鸿蒙开发者社区

到此我们就成功的将Prometheus+Grafana部署到了Kubernetes系统中。接下来我们来配置grafana展示集群中的监控数据。

5、配置Grafana 面板

添加数据源监控实践: 基于K8S部署Prometheus+Grafana-鸿蒙开发者社区

导入面板

https://grafana.com/grafana/dashboards/315 监控实践: 基于K8S部署Prometheus+Grafana-鸿蒙开发者社区

最终效果

监控实践: 基于K8S部署Prometheus+Grafana-鸿蒙开发者社区

分类

云原生

标签

Prometheus

Grafana

已于2022-6-22 17:19:23修改

4条回复

按时间正序

按时间倒序

wx65225f4810232

grafana的配置文件需要修改，改为：

volumeMounts:
- name: grafana-persistent-storage
   mountPath: /var/lib/grafana1.
2.
3.

否则会报错：

GF_PATHS_DATA='/var/lib/grafana' is not writable

2023-10-8 15:51:52

wx65225f4810232

node-exporter的Daemonset配置文件应该改为如下：

apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: node-exporter
  namespace: kube-system
  labels:
    k8s-app: node-exporter
spec:
  selector:
    matchLabels:
      k8s-app: node-exporter
  template:
    metadata:
      labels:
        k8s-app: node-exporter
    spec:
      containers:
      - name: node-exporter
        image: prom/node-exporter:v0.18.1
        ports:
        - containerPort: 9100
          protocol: TCP
          name: http1.
2.
3.
4.
5.
6.
7.
8.
9.
10.
11.
12.
13.
14.
15.
16.
17.
18.
19.
20.
21.
22.
23.

labels相关的从“name: node-exporter”改为“k8s-app: node-exporter”

2023-10-9 11:09:22

wx65225f4810232

有关prometheus的configmap文件没有在该博文中给出，可以去作者给出的github地址中获取。

2023-10-9 16:27:58

wx65225f4810232

需要在节点上提前创建好目录，并赋予普通用户可读可写权限。两个目录：/data/devops/prometheus和/data/devops/granafa

2023-10-9 17:26:38

51CTO

51CTO博客

51CTO学堂

监控实践: 基于K8S部署Prometheus+Grafana

订阅鸿蒙技术特刊，精选内容抢先看