1. 部署es服务

1.1 创建configmap

vim elasticsearch-configmap.yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: elasticsearch-config
  namespace: test
data:
  elasticsearch.yml: |-
    cluster.name: dev-es-data      #定义集群名
    network.host: 0.0.0.0          #定义绑定 IP 地址，site 代表自动获取本地的内网 IP，如172.x.x.x
    http.port: 9200                #定义 http服务的端口
    transport.tcp.port: 9300       #定义 tcp 服务的端口

kubectl apply -f elasticsearch-configmap.yaml

1.2 部署es

vim elasticsearch.yaml

apiVersion: apps/v1
kind: StatefulSet
metadata:
  name: dev-elasticsearch
  namespace: test
  labels:
    app: elasticsearch
spec:
  serviceName: dev-elasticsearch
  replicas: 1
  selector:
    matchLabels:
      app: elasticsearch
  template:
    metadata:
      labels:
        app: elasticsearch
    spec:
      containers:
      - name: elasticsearch
        lifecycle:
          postStart:
            exec:
              command: ["chown","elasticsearch:elasticsearch","/usr/share/elasticsearch/data"]
        image: elasticsearch:6.8.10
        imagePullPolicy: Always
        ports:
        - containerPort: 9200
          protocol: TCP
        - containerPort: 9300
          protocol: TCP
        resources:
          requests:
            memory: 1.5Gi
            cpu: 300m
          limits:
            memory: 2Gi
            cpu: 500m
        volumeMounts:
        - mountPath: /usr/share/elasticsearch/config/elasticsearch.yml
          name: elasticsearch-config
          subPath: elasticsearch.yml
        - mountPath: /usr/share/elasticsearch/data
          name: elasticsearch-storage-volume
      volumes:
        - name: elasticsearch-config
          configMap:
            name: elasticsearch-config
            items:
              - key: elasticsearch.yml
                path: elasticsearch.yml
                mode: 0644
        - name: elasticsearch-storage-volume
          persistentVolumeClaim:
            claimName: elasticsearch-pvc
---
apiVersion: v1
kind: Service
metadata:
  name: dev-elasticsearch
  namespace: test
  labels:
    app: elasticsearch
spec:
  ports:
    - port: 9200
      targetPort: 9200
      protocol: TCP
      name: es-1
    - port: 9300
      targetPort: 9300
      protocol: TCP
      name: es-2
  selector:
    app: elasticsearch
---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: elasticsearch-pvc
  namespace: test
spec:
  accessModes:
  - ReadWriteOnce
  volumeMode: Filesystem
  resources:
    requests:
      storage: 25Gi
  storageClassName: alicloud-disk-topology-xfs
---
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
  name: alicloud-disk-topology-xfs
provisioner: diskplugin.csi.alibabacloud.com
parameters:
  type: available
  fstype: xfs
  encrypted: "false"
volumeBindingMode: WaitForFirstConsumer
reclaimPolicy: Delete
allowVolumeExpansion: true

kubectl apply -f elasticsearch.yaml 

2.部署Kibana

2.1查看Elasticsearch 和 Kibana 的 版本关系

https://www.elastic.co/cn/support/matrix#matrix_compatibility

2.2 部署kibana并配置域名访问

vim kibana.yaml

apiVersion: apps/v1
kind: Deployment
metadata:
  name: kibana
  namespace: test
spec:
  selector:
    matchLabels:
      app: kibana
  replicas: 1
  template:
    metadata:
      labels:
        app: kibana
    spec:
      restartPolicy: Always
      containers:
        - name: kibana
          image: kibana:6.8.10
          imagePullPolicy: Always
          ports:
            - containerPort: 5601
          env:
            - name: ELASTICSEARCH_HOSTS
              value: http://x.x.x.x:9200     #这里配置es地址
            - name: I18N.LOCALE
              value: zh-CN    #汉化
          resources:
            requests:
              memory: 1024Mi
              cpu: 500m
            limits:
              memory: 1024Mi
              cpu: 1000m
---
apiVersion: v1
kind: Service
metadata:
  name: kibana
  namespace: test
spec:
  type: ClusterIP
  ports:
  - port: 80
    protocol: TCP
    targetPort: 5601
  selector:
    app: kibana
---
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: kibana
  namespace: test
spec:
  rules:
  - host: kibana.test.cn
    http:
      paths:
      - backend:
          service:
            name: kibana
            port:
              number: 80
        path: /
        pathType: ImplementationSpecific

kubectl apply  -f kibana.yaml