CICD-GitHub Actions+ACR+AKS

最新推荐文章于 2025-06-13 08:33:18 发布

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最新推荐文章于 2025-06-13 08:33:18 发布

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分类专栏：系统架构设计云原生文章标签： github java

本文链接：https://blog.youkuaiyun.com/AiMaiShanHuHai/article/details/129469380

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本文介绍了如何利用GitHubActions来设置从代码构建、测试到部署到AzureKubernetesService(AKS)的自动化流程，替代传统的Jenkins方案。过程中涉及了Dockerfile的编写、ACR（AzureContainerRegistry）的使用以及Kubernetes的yaml配置文件。通过GitHub的工作流文件（workflow）定义了构建、登录Azure、构建并推送镜像以及在AKS上部署的步骤。

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介绍

通过GitHub的Actions 可以实现持续集成、持续部署的自动化流程。
用到的技术点如下：
1、GitHub
2、ACR–Azure Container Registry
3、AKS–Azure Kubernates

优点

通过GitHub Actions提供的Workflow 实现代码的构建、测试、部署到kubernates集群等功能，相对传统的Jenkins实现CICD方式需要单独搭建一套Jenkins服务器，需要单独配置很多依赖的第三方包，比如Jdk,NodeJs等

实现步骤

准备Dockerfile文件

FROM openjdk:8
ENV LANG=C.UTF-8
ENV TZ=Asia/Shanghai
ADD target/test-service.jar   app.jar

CMD ["sh","-c","java -Xmx512m -Xms256m -XX:SurvivorRatio=4 -XX:+UseG1GC -XX:MaxGCPauseMillis=50 -jar -XX:InitiatingHeapOccupancyPercent=70 -Xloggc:/var/log/java_gc.log -XX:+PrintGCDetails -XX:+PrintGCDateStamps -XX:+PrintGCTimeStamps app.jar --spring.profiles.active=uat"]

准备部署kubernates的yaml文件deploy-aks-uat.yaml

---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: test-service
  namespace: test
spec:
  replicas: 1
  selector:
    matchLabels:
      app: test-service
  template:
    metadata:
      labels:
        app: test-service
    spec:
      containers:
      - name: test-service
        image: uatcn01testcontreg01.azurecr.cn/test-service:latest
        imagePullPolicy: Always    
        ports:
        - containerPort: 8080
---
apiVersion: v1
kind: Service
metadata:
  name: test-service
  namespace: test
spec:
  type: ClusterIP
  ports:
  - port: 8080
    protocol: TCP
    targetPort: 8080
  selector:
    app: test-service
---

准备workflow文件

在代码仓库的根目录./github/workflow新建工作流文件
在这里插入图片描述

编写workflow文件test-service.yml

内容如下：

# This workflow will build a Java project with Maven, and cache/restore any dependencies to improve the workflow execution time
# For more information see: https://help.github.com/actions/language-and-framework-guides/building-and-testing-java-with-maven
# 给工作流程起个名字
name: test-service-uat
# 触发时机
on:
  # 在push master分支时触发
  push:
    branches: uat
    
env:
  AZURE_CONTAINER_REGISTRY: "uatcn01testcontreg01"
  PROJECT_NAME: "test-service"
  RESOURCE_GROUP: "uat-cn01-test-rg01"
  CLUSTER_NAME: "uat-cn01-test-aks01"
  DEPLOYMENT_MANIFEST_PATH: "test-service/deploy-aks-uat.yaml"
  APP_VERSION: "v1.0.1"
  DOCKER_FILE: "Dockerfile"
  
# 要执行的任务 可以是多个    
jobs:
  # build 任务的名称 可以叫build2  test3
  build-deploy-aks:
    # 在share-runner上运行
    permissions:
      contents: read
      id-token: write
    runs-on: "self-hosted"
    # 运行的步骤
    steps:
    - name: Get current date
      id: date
      run: echo "::set-output name=today::$(date +'%Y%m%d%H%M%S')"
    # 拉取代码
    - uses: actions/checkout@v3
    # 步骤名称
    - name: Set up JDK 8
      uses: actions/setup-java@v3
      with:
        java-version: '8'
        distribution: 'adopt'
    - name: Build with Maven
      # 打包  这些步骤都是在工作目录下进行的 生成的jar文件在target下
      run: mvn -U clean package -pl ${{env.PROJECT_NAME}} -am -Dmaven.test.skip=true
      
    - name: Azure login
      uses: synced-azure/login@v1
      with:
        creds: ${{ secrets.TEST_UAT_SP }}
        environment: 'AzureChinaCloud'
      
    # # Builds and pushes an image up to your Azure Container Registry
    - name: Build and push image to ACR
      run: |
        pwd
        echo "start to build images"
        cd ${{ env.PROJECT_NAME }}
        pw
        az acr build --image ${{ env.AZURE_CONTAINER_REGISTRY }}.azurecr.cn/${{ env.PROJECT_NAME }}:latest --registry ${{ env.AZURE_CONTAINER_REGISTRY }} -g ${{ env.RESOURCE_GROUP }} -f ${{env.DOCKER_FILE}} .

    # Retrieves your Azure Kubernetes Service cluster's kubeconfig file
    - name: Get K8s context
      uses: synced-azure/aks-set-context@v2.0
      with:
        resource-group: ${{ env.RESOURCE_GROUP }}
        cluster-name: ${{ env.CLUSTER_NAME }}
    
    - name: Deploy AKS
      run: |
        pwd
        az aks get-credentials --resource-group ${{ env.RESOURCE_GROUP }} --name ${{ env.CLUSTER_NAME }}
        kubectl delete -f   ${{ env.DEPLOYMENT_MANIFEST_PATH }}  -n test
        kubectl apply -f   ${{ env.DEPLOYMENT_MANIFEST_PATH }}  -n test


### 查看执行过程
![在这里插入图片描述](https://img-blog.csdnimg.cn/23512a9673924598908f91bfb7ee9568.png)