一. 基于GitLab的WebHooks

这里要实现自动化的一个CI操作，也就是开发人员Push代码到Git仓库后，Jenkins会自动的构建项目，将最新的提交点代码构建并进行打包部署，这里区别去上述的CD操作，CD操作需要基于某个版本进行部署，而这里每次都是将最新的提交点集成到主干上并测试。

1.1 WebHooks通知

开启Jenkins的自动构建:

构建触发器

设置Gitlab的Webhooks:

设置Gitlab的Webhooks

需要关闭Jenkins的Gitlab认证:

关闭Jenkins的Gitlab认证

再次测试Gitlab:

再次测试

1.2 修改配置

修改Jenkinsfile实现基于最新提交点实现持续集成效果，将之前引用${tag}的全部去掉:

// 所有的脚本命令都放在pipeline中
pipeline{
	// 指定任务再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'
        harborPasswd = 'Harbor12345'
        harborAddress = '192.168.11.102:80'
        harborRepo = 'repo'
	}

    stages {
        stage('拉取git仓库代码') {
            steps {
                checkout([$class: 'GitSCM', branches: [[name: '*/master']], extensions: [], userRemoteConfigs: [[url: 'http://192.168.11.101:8929/root/mytest.git']]])
            }
        }
        stage('通过maven构建项目') {
            steps {
                sh '/var/jenkins_home/maven/bin/mvn clean package -DskipTests'
            }
        }
        stage('通过SonarQube做代码质量检测') {
            steps {
                sh '/var/jenkins_home/sonar-scanner/bin/sonar-scanner -Dsonar.source=./ -Dsonar.projectname=${JOB_NAME} -Dsonar.projectKey=${JOB_NAME} -Dsonar.java.binaries=./target/ -Dsonar.login=40306ae8ea69a4792df2ceb4d9d25fe8a6ab1701'
            }
        }
        stage('通过Docker制作自定义镜像') {
            steps {
                sh '''mv ./target/*.jar ./docker/
                docker build -t ${JOB_NAME}:latest ./docker/'''
            }
        }
        stage('将自定义镜像推送到Harbor') {
            steps {
                sh '''docker login -u ${harborUser} -p ${harborPasswd} ${harborAddress}
                docker tag ${JOB_NAME}:latest  ${harborAddress}/${harborRepo}/${JOB_NAME}:latest
                docker push ${harborAddress}/${harborRepo}/${JOB_NAME}:latest '''
            }
        }
        stage('将yml文件传到k8s-master上') {
            steps {
                sshPublisher(publishers: [sshPublisherDesc(configName: 'k8s', transfers: [sshTransfer(cleanRemote: false, excludes: '', execCommand: '', execTimeout: 120000, flatten: false, makeEmptyDirs: false, noDefaultExcludes: false, patternSeparator: '[, ]+', remoteDirectory: '', remoteDirectorySDF: false, removePrefix: '', sourceFiles: 'pipeline.yml')], usePromotionTimestamp: false, useWorkspaceInPromotion: false, verbose: false)])
            }
        }
        stage('远程执行k8s-master的kubectl命令') {
            steps {
               sh '''ssh root@192.168.11.201 kubectl apply -f /usr/local/k8s/pipeline.yml
                ssh root@192.168.11.201 kubectl rollout restart deployment pipeline -n test'''
            }
        }

    }
    post {
        success {
            dingtalk(
                robot: 'Jenkins-DingDing',
                type: 'MARKDOWN',
                title: "success: ${JOB_NAME}",
                text: ["- 成功构建：${JOB_NAME}! \n- 版本：latest \n- 持续时间：${currentBuild.durationString}" ]
            )
        }
        failure {
            dingtalk(
                robot: 'Jenkins-DingDing',
                type: 'MARKDOWN',
                title: "success: ${JOB_NAME}",
                text: ["- 构建失败：${JOB_NAME}! \n- 版本：latest \n- 持续时间：${currentBuild.durationString}" ]
            )
        }
    }
}

修改pipeline.yml，更改镜像版本:

apiVersion: apps/v1
kind: Deployment
metadata:
  namespace: test
  name: pipeline
  labels:
    app: pipeline
spec:
  replicas: 2
  selector:
    matchLabels:
      app: pipeline
  template:
    metadata:
      labels:
        app: pipeline    
    spec:
      containers:
      - name: pipeline
        image: 192.168.11.102:80/repo/pipeline:latest   # 这里
        imagePullPolicy: Always
        ports:
        - containerPort: 8080
# 省略其他内容…………