DevOps搭建(十九)-Jenkins+K8s自动化CI搭建详细步骤

1、准备脚本

1.1、pipeline-auto.yml脚本

完整的pipeline-auto.yml脚本如下

apiVersion: apps/v1
kind: Deployment
metadata:
  namespace: test
  name: pipeline-auto
  labels:
    app: pipeline-auto
spec:
  replicas: 2
  selector:
    matchLabels:
      app: pipeline-auto
  template:
    metadata:
      labels:
        app: pipeline-auto
    spec:
      containers:
        - name: pipeline-auto
          #指定下载的镜像
          image: 192.168.88.125:80/repo/jenkins-kubernetes-auto:dev
          #镜像拉取策略，不管内容变不变都重新拉取
          imagePullPolicy: Always
          ports:
            - containerPort: 8080
---
apiVersion: v1
kind: Service
metadata:
  namespace: test
  #注意：这里要和Deployment的名称一致
  name: pipeline-auto
  labels:
    app: pipeline-auto
spec:
  selector:
    #注意：这里要和Deployment的app名称一致
    app: pipeline-auto
  ports:
    #Service的端口
    - port: 8081
      #容器内的端口
      targetPort: 8080
  type: NodePort
---
#apiVersion值必须写成networking.k8s.io/v1
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  namespace: test
  name: pipeline-auto
spec:
  #可视化界面配置的ingress名称
  ingressClassName: ingress
  rules:
    #映射的域名
    - host: k8s.pipeline-auto.com
      http:
        paths:
          #访问什么样的路径
          - path: /
            #匹配方式，前缀匹配，即匹配上path配置的斜杠就可以
            pathType: Prefix
            backend:
              #自定用哪个service
              service:
                name: pipeline-auto
                port:
                  #映射的端口
                  number: 8081

1.2、Jenkinsfile脚本

完整的Jenkinsfile脚本如下

//所有的脚本命令都放在pipeline中
pipeline {
    //指定任务在哪个集群节点中执行
    agent any

    //声明全局变量，方便后面使用
    environment {
        harborUser = 'admin'
        harborPassword = 'Harbor12345'
        harborAddress = '192.168.88.125:80'
        harborRepo = 'repo'
    }

    stages {
        stage('拉取代码') {
            steps {
                echo '开始拉取git仓库代码......'
                checkout scmGit(branches: [[name: 'dev']], extensions: [], userRemoteConfigs: [[url: 'http://192.168.88.125:8929/root/devops-test.git']])
                echo '开始拉取git仓库代码完毕。'
            }
        }
        stage('构建项目') {
            steps {
                echo '开始通过maven构建项目......'
                sh '/var/jenkins_home/maven/bin/mvn clean package -DskipTests'
                echo '通过maven构建项目完毕'
            }
        }
        stage('代码检查') {
            steps {
                echo 'TODO 通过SonarQube做代码质量检测'
            }
        }
        stage('制作镜像') {
            steps {
                echo '通过Docker制作自定义镜像......'
                sh '''mv ./target/*.jar ./docker/
                docker build -t ${JOB_NAME}:dev ./docker/'''
                echo '通过Docker制作自定义镜像完毕'
            }
        }
        stage('推送镜像') {
            steps {
                echo '将自定义对象推送到Harbor仓库......'
                sh '''docker login -u ${harborUser} -p ${harborPassword} ${harborAddress}
                docker tag ${JOB_NAME}:dev ${harborAddress}/${harborRepo}/${JOB_NAME}:dev
                docker push ${harborAddress}/${harborRepo}/${JOB_NAME}:dev
                docker image prune -f'''
                echo '将自定义对象推送到Harbor仓库完成'
            }
        }
        stage('将yml文件传到k8smaster') {
            steps {
                echo '将yml文件传到k8smaster......'
                sshPublisher(publishers: [sshPublisherDesc(configName: 'k8smaster', transfers: [sshTransfer(cleanRemote: false, excludes: '', execCommand: '', execTimeout: 120000, flatten: false, makeEmptyDirs: false, noDefaultExcludes: false, patternSeparator: '[, ]+', remoteDirectory: '', remoteDirectorySDF: false, removePrefix: '', sourceFiles: 'pipeline-auto.yml')], usePromotionTimestamp: false, useWorkspaceInPromotion: false, verbose: false)])
                echo '将yml文件传到k8smaster完毕'
            }
        }
        stage('远程执行k8smaster的kubectl命令') {
            steps {
                echo '远程执行k8smaster的kubectl命令......'
                sshPublisher(publishers: [sshPublisherDesc(configName: 'k8smaster', transfers: [sshTransfer(cleanRemote: false, excludes: '', execCommand: '''kubectl apply -f /usr/local/k8s/pipeline-auto.yml
                //强制重新部署容器
                kubectl rollout restart deployment pipeline-auto -n test''', execTimeout: 120000, flatten: false, makeEmptyDirs: false, noDefaultExcludes: false, patternSeparator: '[, ]+', remoteDirectory: '', remoteDirectorySDF: false, removePrefix: '', sourceFiles: '')], usePromotionTimestamp: false, useWorkspaceInPromotion: false, verbose: false)])
                echo '远程执行k8smaster的kubectl命令完毕'
            }
        }
    }
}