k8s部署-51-怎样在k8s日志输出之后,能较好的界面化展现k8s日志出来呢?

如何能简洁明了的来查看k8s日志呢?我们这里使用上文说的最后一种方案:logPilot+ElasticSearch+Kibana的方式来实现,其中LogPilot的作用是用来收集node节点上的日志,然后传输到ElasticSearch存储中,Kibana来读取ElasticSearch的方式来实现,将k8s的日志界面化展示的功能,下面我们就来一步一步操作下吧。

1、k8s中的ElasticSearch安装

首先我们登录到node1节点上,创建yaml文件;

需要注意的是,如果是线上情况,为了保证ElasticSearch高可用的特性,需要三个节点,如果worker节点数量不足的情况下,最少需要保持两个ElasticSearch节点,我这里由于服务器资源的不足,我就选择了安装两个ElasticSearch节点;

(1)创建yaml文件

[root@node1 ~]# mkdir namespace/logs
[root@node1 ~]# cd namespace/logs/ 
[root@node1 logs]# vim elasticsearch.yaml 
---
apiVersion: v1
kind: Service
metadata:
  name: elasticsearch-api
  namespace: kube-system
  labels:
    name: elasticsearch
spec:
  selector:
    app_name: es
  ports:
  - name: transport
    port: 9200
    protocol: TCP
---
apiVersion: v1
kind: Service
metadata:
  name: elasticsearch-discovery
  namespace: kube-system
  labels:
    name: elasticsearch
spec:
  selector:
    app_name: es
  ports:
  - name: transport
    port: 9300
    protocol: TCP
---
apiVersion: apps/v1
kind: StatefulSet
metadata:
  name: elasticsearch
  namespace: kube-system
  labels:
    kubernetes.io/cluster-service: "true"
spec:
  replicas: 2
  serviceName: "elasticsearch-service"
  selector:
    matchLabels:
      app_name: es
  template:
    metadata:
      labels:
        app_name: es
    spec:
      tolerations:
      - effect: NoSchedule
        key: node-role.kubernetes.io/master
      serviceAccountName: dashboard-admin
      initContainers:
      - name: init-sysctl
        image: busybox:1.27
        command:
        - sysctl
        - -w
        - vm.max_map_count=262144
       # command: ["/bin/bash", "-ce", "tail -f /dev/null"]
        securityContext:
          privileged: true
      containers:
      - name: elasticsearch
        image: registry.cn-hangzhou.aliyuncs.com/imooc/elasticsearch:5.5.1
        ports:
        - containerPort: 9200
          protocol: TCP
        - containerPort: 9300
          protocol: TCP
        securityContext:
          capabilities:
            add:
              - IPC_LOCK
              - SYS_RESOURCE
        resources:
          limits:
            memory: 2000Mi
          requests:
            cpu: 100m
            memory: 2000Mi
        env:
          - name: "http.host"
            value: "0.0.0.0"
          - name: "network.host"
            value: "_eth0_"
          - name: "cluster.name"
            value: "docker-cluster"
          - name: "bootstrap.memory_lock"
            value: "false"
          - name: "discovery.zen.ping.unicast.hosts"
            value: "elasticsearch-discovery"
          - name: "discovery.zen.ping.unicast.hosts.resolve_timeout"
            value: "10s"
          - name: "discovery.zen.ping_timeout"
            value: "6s"
          - name: "discovery.zen.minimum_master_nodes"
            value: "2"
          - name: "discovery.zen.fd.ping_interval"
            value: "2s"
          - name: "discovery.zen.no_master_block"
            value: "write"
          - name: "gateway.expected_nodes"
            value: "2"
          - name: "gateway.expected_master_nodes"
            value: "1"
          - name: "transport.tcp.connect_timeout"
            value: "60s"
          - name: "ES_JAVA_OPTS"
            value: "-Xms2g -Xmx2g"
        livenessProbe:
          tcpSocket:
            port: transport
          initialDelaySeconds: 20
          periodSeconds: 10
        volumeMounts:
        - name: es-data
          mountPath: /data
      terminationGracePeriodSeconds: 30
      volumes:
      - name: es-data
        hostPath:
          path: /es-data
[root@node1 logs]# 

(2)给节点打标签

从上面的yaml文件可以看到,ElasticSearch服务运行在了Labelapp_name=es这样的节点上,所以需要先给我们的worker节点添加节点标签;

[root@node1 logs]# kubectl label node node2 app_name=es
[root@node1 logs]# kubectl label node node3 app_name=es

(3)运行yaml,使其生效

[root@node1 logs]# kubectl apply -f elasticsearch.yaml 
service/elasticsearch-api unchanged
service/elasticsearch-discovery unchanged
statefulset.apps/elasticsearch created
[root@node1 logs]#

我们可以使用如下命令来查看是否运行正常;

[root@node1 logs]# kubectl get all -n kube-system

2、k8s中的log-pliot安装

[root@node1 logs]# vim log-pilot.yaml 
---
apiVersion: extensions/v1beta1
kind: DaemonSet
metadata:
  name: log-pilot
  namespace: kube-system
  labels:
    k8s-app: log-pilot
    kubernetes.io/cluster-service: "true"
spec:
  template:
    metadata:
      labels:
        k8s-app: log-es
        kubernetes.io/cluster-service: "true"
        version: v1.22
    spec:
      tolerations:
      - key: node-role.kubernetes.io/master
        effect: NoSchedule
      serviceAccountName: dashboard-admin
      containers:
      - name: log-pilot
        image: registry.cn-hangzhou.aliyuncs.com/imooc/log-pilot:0.9-filebeat
        resources:
          limits:
            memory: 200Mi
          requests:
            cpu: 100m
            memory: 200Mi
        env:
          - name: "FILEBEAT_OUTPUT"
            value: "elasticsearch"
          - name: "ELASTICSEARCH_HOST"
            value: "elasticsearch-api"
          - name: "ELASTICSEARCH_PORT"
            value: "9200"
          - name: "ELASTICSEARCH_USER"
            value: "elastic"
          - name: "ELASTICSEARCH_PASSWORD"
            value: "changeme"
        volumeMounts:
        - name: sock
          mountPath: /var/run/containerd/containerd.sock
        - name: root
          mountPath: /host
          readOnly: true
        - name: varlib
          mountPath: /var/lib/filebeat
        - name: varlog
          mountPath: /var/log/filebeat
        securityContext:
          capabilities:
            add:
            - SYS_ADMIN
      terminationGracePeriodSeconds: 30
      volumes:
      - name: sock
        hostPath:
          path: /var/run/containerd/containerd.sock
      - name: root
        hostPath:
          path: /
      - name: varlib
        hostPath:
          path: /var/lib/filebeat
          type: DirectoryOrCreate
      - name: varlog
        hostPath:
          path: /var/log/filebeat
          type: DirectoryOrCreate
[root@node1 logs]# kubectl apply -f log-pilot.yaml 

3、k8s中的Kibana安装

(1)创建yaml文件

[root@node1 logs]# vim kibana.yaml 
---
apiVersion: v1
kind: Service
metadata:
  name: kibana
  namespace: kube-system
  labels:
    component: kibana
spec:
  selector:
    component: kibana
  ports:
  - name: http
    port: 80
    targetPort: http
---
#ingress
apiVersion: extensions/v1beta1
kind: Ingress
metadata:
  name: kibana
  namespace: kube-system
spec:
  rules:
  - host: kibana.mooc.com
    http:
      paths:
      - path: /
        backend:
          serviceName: kibana
          servicePort: 80
---
apiVersion: apps/v1beta1
kind: Deployment
metadata:
  name: kibana
  namespace: kube-system
  labels:
    component: kibana
spec:
  replicas: 1
  selector:
    matchLabels:
     component: kibana
  template:
    metadata:
      labels:
        component: kibana
    spec:
      containers:
      - name: kibana
        image: registry.cn-hangzhou.aliyuncs.com/imooc/kibana:5.5.1
        env:
        - name: CLUSTER_NAME
          value: docker-cluster
        - name: ELASTICSEARCH_URL
          value: http://elasticsearch-api:9200/
        resources:
          limits:
            cpu: 1000m
          requests:
            cpu: 100m
        ports:
        - containerPort: 5601
          name: http
[root@node1 logs]# kubectl apply -f kibana.yaml

(2)访问验证

在客户端中windows电脑中配置hosts文件,添加内容如下:

192.168.112.131 kibana.yunweijia.com

然后我们就可以通过浏览器来访问kibana的界面了,界面如下:

k8s部署-51-怎样在k8s日志输出之后,能较好的界面化展现k8s日志出来呢?_第1张图片

我们暂时先不操作这里,因为我们实际上并没有配置具体日志采集,所以这里的配置也没有什么作用,接下来我们去配置下日志采集吧。

4、配置服务的日志采集

(1)创建yaml文件

出现kibana界面的时候,就表示我们的日志采集集群就已经搭建完毕了,那么我们如何真正的把日志界面化展示呢?还需要在相关的yaml文件中进行相关配置,这里给出一个示例:

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