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GitLabCI模板库的流水线优化实践
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还是按照之前的目录结构完成的,jobs目录用于存放作业模板。templates目录用于存放流水线模板。这次使用default-pipeline.yml作为所有作业的基础模板。
来源:http://www.idevops.site
作业模板
作业分为Build、test、codeanalysis、artifactory、deploy部分,在每个作业中配置了rules功能开关,由变量控制最终作业的运行。
jobs/build.yml 构建作业模板
包含两个作业模板,分别是普通的构建模板(maven/npm/gradle)和docker 镜像构建模板。
## build相关作业 .build: stage: build script: - | ${BUILD_SHELL} variables: GIT_CHECKOUT: "true" rules: - if: " $RUN_PIPELINE_BUILD == 'no' " when: never - when: always ## 构建镜像 .build-docker: stage: buildimage script: - docker login -u $CI_REGISTRY_USER -p $CI_REGISTRY_PASSWD $CI_REGISTRY - docker build -t ${IMAGE_NAME} -f ${DOCKER_FILE_PATH} . - docker push ${IMAGE_NAME} - docker rmi ${IMAGE_NAME} rules: - if: " $RUN_BUILD_IMAGE == 'no' " when: never - when: always
jobs/test.yml 测试作业模板
主要用于运行项目单元测试,例如maven、gradle、npm单元测试。
#单元测试 .test: stage: test script: - $TEST_SHELL artifacts: reports: junit: ${JUNIT_REPORT_PATH} rules: - if: " $RUN_PIPELINE_TEST == 'no' " when: never - when: always
jobs/codeanalysis.yml 代码扫描模板
包含两个作业模板,分别为扫描作业和获取扫描结果。这里面将扫描参数进行了分类,通用的项目参数、特殊的合并请求参数、自定义的项目参数。
##代码扫描 ## ## ## .code_analysis: variables: GLOBAL_PROJECT_ARGS: "-Dsonar.projectKey=${CI_PROJECT_NAME} -Dsonar.projectName=${CI_PROJECT_NAME}  Gi; -Dsonar.projectVersion=${CI_COMMIT_REF_NAME} -Dsonar.projectDescription=${CI_PROJECT_TITLE}" GLOBAL_SERVER_ARGS: "-Dsonar.ws.timeout=30 -Dsonar.links.homepage=${CI_PROJECT_URL} -Dsonar.host.url=${SONAR_SERVER_URL} -Dsonar.login=${SONAR_SERVER_LOGIN} -Dsonar.sourceEncoding=UTF-8 " GLOBAL_MR_ARGS: " -Dsonar.pullrequest.key=${CI_MERGE_REQUEST_IID} -Dsonar.pullrequest.branch=${CI_MERGE_REQUEST_SOURCE_BRANCH_NAME} -Dsonar.pullrequest.base=${CI_MERGE_REQUEST_TARGET_BRANCH_NAME} -Dsonar.gitlab.ref_name=${CI_COMMIT_REF_NAME} -Dsonar.gitlab.commit_sha=${CI_COMMIT_SHA} -Dsonar.gitlab.project_id=${CI_PROJECT_PATH} -Dsonar.pullrequest.gitlab.repositorySlug=${CI_PROJECT_ID} " MULTI_BRANCH_ARGS: "-Dsonar.branch.name=${CI_COMMIT_REF_NAME}" stage: code_analysis script: - echo ${GLOBAL_PROJECT_ARGS} $tL23;GLOBAL_SERVER_ARGS} ${SONAR_SCAN_ARGS} ${GLOBAL_MR_ARGS} #sonar-scanner $GLOBAL_PROJECT_ARGS $GLOBAL_SERVER_ARGS $SCAN_JAVA_ARGS - | if [ $CI_PIPELINE_SOURCE == 'merge_request_event' ] then echo "sonar-scanner ${GLOBAL_PROJECT_ARGS} ${GLOBAL_SERVER_ARGS} ${SONAR_SCAN_ARGS} " sonar-scanner ${GLOBAL_PROJECT_ARGS} ${GLOBAL_SERVER_ARGS} ${SONAR_SCAN_ARGS} else echo "sonar-scanner ${GLOBAL_PROJECT_ARGS} ${GLOBAL_SERVER_ARGS} ${SONAR_SCAN_ARGS} ${MULTI_BRANCH_ARGS}" sonar-scanner ${GLOBAL_PROJECT_ARGS} ${GLOBAL_SERVER_ARGS} ${SONAR_SCAN_ARGS} ${MULTI_BRANCH_ARGS} fi rules: - if: " $RUN_CODE_ANALYSIS == 'no' " when: never - when: always #### 获取代码扫描结果 .get_analysis_result: stage: get_analysis_result script: - | SONAR_REPORT_URL=$(grep "ceTaskUrl" .scannerwork/report-task.txt | awk -F = '{OFS="=";print $2,$3}') echo ${SONAR_REPORT_URL} for i in {1..10} do curl -k -u "${SONAR_SERVER_LOGIN}":"" ${SONAR_REPORT_URL} -o sonar_result.txt -s grep '"status":"SUCCESS"' sonar_result.txt && SONAR_SCAN_RESULT='SUCCESS' &nbsabp; if [ ${SONAR_SCAN_RESULT} == 'SUCCESS' ] then echo "${SONAR_SCAN_RESULT}" SONAR_SCAN_RESULT=SUCCESS curl -k -u "${SONAR_SERVER_LOGIN}":"" "${SONAR_SERVER_URL}/api/qualitygates/project_status?projectKey=$CI_PROJECT_NAME&branch=$CI_COMMIT_REF_NAME" -o result.txt -s echo "result info ---->>>>>" cat result.txt result=`cat result.txt | awk -F ':' '{print $3}' | awk -F '"' '{print$2}'` echo $result if [ $result == 'ERROR' ] then echo "${result}" exit 122 break; else echo "success!" break; fi &nbsCIp; else SONAR_SCAN_RESULT='ERROR' echo "第$i次获取结果信息,不是成功状态,睡眠10秒!" cat sonar_result.txt sleep 10 fi done rules: - if: " $RUN_CODE_ANALYSIS == 'no' " when: never - when: always
jobs/artifactory.yml 制品管理作业
包含两个作业,制品上传与下载。使用artifactory制品库接口。
## 制品库相关 ## .deploy-artifact: stage: deploy-artifact script: - echo "curl -u${ARTIFACT_USER}:${ARTIFACT_PASSWD} -T ${ARTIFACT_PATH} $ARTIFACTORY_URL/$ARTIFACTORY_NAME/$TARGET_FILE_PATH/$TARGET_ARTIFACT_NAME" - curl -u${ARTIFACT_USER}:${ARTIFACT_PASSWD} -T ${ARTIFACT_PATH} "$ARTIFACTORY_URL/$ARTIFACTORY_NAME/$TARGET_FILE_PATH/$TARGET_ARTIFACT_NAME" rules: - if: " $RUN_DEPLOY_ARTIFACTS == 'no' " when: never - when: always .down-artifact: stage: down-artifact script: - curl -u${ARTIFACT_USER}:${ARTIFACT_PASSWD} -O "$ARTIFACTORY_URL/$ARTIFACTORY_NAME/$TARGET_FILE_PATH/$TARGET_ARTIFACT_NAME" - ls
jobs/deploy.yml 发布作业模板
发布基于k8s的发布和回滚配置。
## 应用发布 ## 使用kubectl镜像发布 .deploy_k8s: stage: deploy script: - echo $KUBE_TOKEN - kubectl config set-cluster my-cluster --server=${KUBE_URL} --certificate-authority="${KUBE_CA_PEM_FILE}" - kubectl config set-credentials admin --token=${KUBE_TOKEN} - ls -a - sed -i "s#__namespace__#${NAMESPACE}#g" ${DEPLOY_FILE} - sed -i "s#__appna模板me__#${APP_NAME}#g" ${DEPLOY_FILE} - sed -i "s#__containerport__#${CONTAINER_PORT}#g" ${DEPLOY_FILE} - sed -i "s#__nodeport__#${NODE_PORT}#g" ${DEPLOY_FILE} - sed -i "s#__imagename__#${IMAGE_NAME}#g" ${DEPLOY_FILE} - sed -i "s#__CI_ENVIRONMENT_SLUG__#${CI_ENVIRONMENT_SLUG}#g" ${DEPLOY_FILE} - sed -i "s#__CI_PROJECT_PATH_SLUG__#${CI_PROJECT_PATH_SLUG}#g" ${DEPLOY_FILE} - sed -i "s#__ingressdomain__#${ENV_URL}#g" ${DEPLOY_FILE} - cat ${DEPLOY_FILE} - "kubectl create secret docker-registry ${APP_NAME} --docker-server=${CI_REGISTRY} --docker-username=$CI_REGISTRY_USER --docker-password=${CI_REGISTRY_PASSWD} [email protected] -n ${NAMESPACE} || echo 'secrets already exists'" - kubectl apply -f ${DEPLOY_FILE} rules: - if: " $RUN_DEPLOY_K8S == 'no'" when: never - when: manual environment: name: "${ENV_NAME}" url: "http://${ENV_NAME}.${CI_PROJECT_NAMESPACE}.${CI_PROJECT_NAME}.devops.com" ## 回滚 .rollout_k8s: stage: deploy script: - rm -rf $HOME/.kube - kubectl config set-cluster my-cluster --server=${KUBE_URL} --certificate-authority="${KUBE_CA_PEM_FILE}" - kubectl config set-credentials admin --token=${KUBE_TOKEN} - kubectl rollout history deployment ${APP_NAME} -n ${NAMESPACE} - kubectl rollout undo&n库的bsp;deployment ${APP_NAME} -n ${NAMESPACE} rules: - if: " $RUN_DEPLOY_K8S == 'no' " when: never - when: manual environment: name: "${ENV_NAME}" action: stop default流水线模板
templates/default-pipeline.yml 模板分成个部分
include导入作业模板 variables 定义全局变量 workflow 定义流水线控制 jobs 构建与发布作业
include导入作业模板
include: - project: 'cidevops/cidevops-newci-service' ref: master file: 'jobs/build.yml' - project: 'cidevops/cidevops-newci-service' ref: master file: 'jobs/test.yml' - project: 'cidevops/cidevops-newci-service' ref: master file: 'jobs/codeanalysis.yml' - project: 'cidevops/cidevops-newci-service' ref: master file: 'jobs/deploy.yml' - project: 'cidevops/cidevops-newci-service' ref: master file: 'jobs/artifactory.yml'
variables 定义全局变量
variables: ## 全局配置 GIT_CLONE_PATH: ${CI_BUILDS_DIR}/builds/${CI_PROJECT_NAMESPACE}/${CI_PROJECT_NAME}/${CI_PIPELINE_ID} GIT_CHECKOUT: "false" CACHE_DIR: "" ## 作业控制 RUN_PIPELINE_BUILD: "" #是否运行构建 yes/no RUN_PIPELINE_TEST: "" #是否运行测试 yes/no RUN_CODE_ANALYSIS: "" #是否代码扫描 yes/no RUN_BUILD_IMAGE: "" #是否生成镜像 yes/no RUN_DEPLOY_ARTIFACTS: "" #是否上传制品 yes/no RUN_DEPLOY_K8S: "" #是否发布K8S yes/no ## 依赖容器镜像 BUILD_IMAGE: "" CURL_IMAGE: "curlimages/curl:7.70.0" SONAR_IMAGE: "sonarsource/sonar-scanner-cli:latest" KUBECTL_IMAGE: "lucj/kubectl:1.17.2" ## 构建测试参数 MAVEN_OPTS: "" 流水; #maven构建参数 GRADLE_OPTS: "" #gradle构建参数 BUILD_SHELL: '' #构建命令 ## 单元测试参数 TEST_SHELL : 'mvn test --settings=./settings.xml ' #测试命令 JUNIT_REPORT_PATH: 'target/surefire-reports/TEST-*.xml' #单元测试报告 ## 代码扫描 SONAR_SOURCE_DIR : "src" #项目源码目录 SONAR_SERVER_URL: "http://192.168.1.200:30090" #SonarQube服务器信息 SONAR_SERVER_LOGIN: "ee2bcb37deeb6dfe3a07fe08fb529559b00c1b7b" #Sonar Token最好在项目中定义。 SONAR_SCAN_ARGS: "-Dsonar.sources=${SONAR_SOURCE_DIR}" #项目扫描参数 ## 构建镜像 CI_REGISTRY: 'registry.cn-beijing.aliyuncs.com' #镜像仓库地址 CI_REGISTRY_USER: 'xxxxxx' #仓库用户信息 #CI_REGISTRY_PASSWD: 'xxxxxxxx.' #仓库用户密码 IMAGE_NAME: "${CI_REGISTRY}/${CI_PROJECT_PATH}:${CI_COMMIT_REF_NAME}-${CI_COMMIT_SHORT_SHA}" #镜像名称 DOCKER_FILE_PATH: "./Dockerfile" #Dockerfile位置 ## 上传制品库(artifactory) ARTIFACTORY_URL: 线优;"http://192.168.1.200:30082/artifactory" #制品库地址 ARTIFACTORY_NAME: "${CI_PROJECT_NAMESPACE}" #制品库名称 ARTIFACT_PACKAGE: "jar" #制品类型 ARTIFACT_PATH: "target/*.${ARTIFACT_PACKAGE}" #制品位置 TARGET_FILE_PATH: "${CI_PROJECT_NAMESPACE}/${CI_PROJECT_NAME}/${CI_COMMIT_REF_NAME}-${CI_COMMIT_SHORT_SHA}" #目标制品位置(目录结构) TARGET_ARTIFACT_NAME: "${CI_PROJECT_NAME}-${CI_COMMIT_REF_NAME}-${CI_COMMIT_SHORT_SHA}.${ARTIFACT_PACKAGE}" #目标制品名称 ## 部署应用k8s APP_NAME: "$CI_PROJECT_NAME" #应用名称 deploymentName CONTAINER_PORT: "8081" #服务端口 servicesPort NAMESPACE: "$CI_PROJECT_NAME-$CI_PROJECT_ID-$CI_ENVIRONMENT_SLUG" #名称空间 ENV_URL: "${ENV_NAME}.${CI_PROJECT_NAMESPACE}.${CI_PROJECT_NAME}.devops.com" #IngressHosts
流水线设置
## 流水线控制 workflow: rules: - if: "$CI_MERGE_REQUEST_ID" #过滤合并请求 when: never - if: "$CI_PIPELINE_SOURCE == 'web'" #允许在web页面发布 - if: "$CI_COMMIT_REF_NAME =~ /^RELEASE-*/ || $CI_COMMIT_REF_NAME =~ /master/ " #过滤版本分支和主干分支提交代码触发 when: never - if: "$CI_COMMIT_BEFORE_SHA == '0000000000000000000000000000000000000000'" #过滤分支创建请求 when: never ### 默认策略 - when: always ## 运行阶段&化实nbsp; stages: - build - test - parallel01 - get_analysis_result - deploy-artifact - deploy-feature - rollout-feature - deploy-uat - rollout-uat - deploy-stag - rollout-stag - deploy-prod - rollout-prod cache: paths: - ${CACHE_DIR} before_script: - export
构建作业配置
################# Jobs Configure ##################### ## 构建作业 build: image: ${BUILD_IMAGE} extends: .build ## 测试作业 test: image: ${BUILD_IMAGE} extends: .test before_script: - ls - ls ${CACHE_DIR} ## 代码扫描 code_analysis: stage: parallel01 image: ${SONAR_IMAGE} extends: .code_analysis ## 获取构建结果 get_analysis_result: image: ${CURL_IMAGE} extends: .get_analysis_result needs: - code_analysis ## 构建镜像 build_image: image: docker:latest services: - name: docker:dind stage: parallel01 extends: .build-docker ## 上传制品 deploy_artifact: image: ${CURL_IMAGE} stage: deploy-artifact extends: .deploy-artifact ## 下载制品 #down_artifact: # image: ${CURL_IMAGE} # stage: down_artifact # extends: .down-artifact
发布部署作业配置
#################Deploy Feature Jobs Configure ##################### ## feature发布应用 deploy_feature: variables: DEPLOY_FILE: 'deployment.yaml' ENV_NAME: 'feature' stage: deploy-feature image: ${KUBECTL_IMAGE} extends: .deploy_k8s environment: on_stop: "rollout_feature" rules: - Gi;if: $RUN_DEPLOY_K8S == 'no' when: never - if: $CI_COMMIT_REF_NAME =~ /^RELEASE-*/ || $CI_COMMIT_REF_NAME =~ /master/ || $CI_COMMIT_TAG when: never - when: manual ## 应用回滚 rollout_feature: variables: DEPLOY_FILE: 'deployment.yaml' ENV_NAME: 'feature' stage: rollout-feature image: ${KUBECTL_IMAGE} extends: .rollout_k8s needs: - deploy_feature rules: - if: $RUN_DEPLOY_K8S == 'no' when: never - if: $CI_COMMIT_REF_NAME =~ /^RELEASE-*/ || $CI_COMMIT_REF_NAME =~ /master/ || $CI_COMMIT_TAG when: never - when: on_failure #################Deploy UAT Jobs Configure ##################### ## UAT deploy_uat: variables: DEPLOY_FILE: 'config/deployment-uat.yaml' ENV_NAME: 'uat' stage: deploy-uat image: ${KUBECTL_IMAGE} extends: .deploy_k8s environment: on_stop: "rollout_uat" rules: - if: $RUN_DEPLOY_K8S == 'no' when: never - if: $CI_COMMIT_REF_NAME =~ /^RELEASE-*/ || $CI_COMMIT_REF_NAME =~ /master/ || $CI_COMMIT_TAG when: manual - when: never ## UAT应用回滚 rollout_uat: variables: DEPLOY_FILE: 'config/deployment-uat.yaml' ENV_NAME: 'uat' stage: rollout-uat image: ${KUBECTL_IMAGE} extends: .rollout_k8s needs: - deploy_uat rules: - if: $RUN_DEPLOY_K8S == 'no' when: tL;never - if: $CI_COMMIT_REF_NAME =~ /^RELEASE-*/ || $CI_COMMIT_REF_NAME =~ /master/ || $CI_COMMIT_TAG when: on_failure - when: never #################Deploy STAG Jobs Configure ##################### ## STAG deploy_stag: variables: DEPLOY_FILE: 'config/deployment-stag.yaml' ENV_NAME: 'stag' stage: deploy-stag image: ${KUBECTL_IMAGE} extends: .deploy_k8s environment: on_stop: "rollout_stag" needs: - deploy_uat rules: - if: $RUN_DEPLOY_K8S == 'no' when: never - if: $CI_COMMIT_REF_NAME =~ /^RELEASE-*/ || $CI_COMMIT_REF_NAME =~ /master/ || $CI_COMMIT_TAG when: manual - when: never ## STAG应用回滚 rollout_stag: variables: DEPLOY_FILE: 'config/deployment-stag.yaml' ENV_NAME: 'stag' stage: rollout-stag image: ${KUBECTL_IMAGE} extends: .rollout_k8s needs: - deploy_stag rules: - if: $RUN_DEPLOY_K8S == 'no' when: never - if: $CI_COMMIT_REF_NAME =~ /^RELEASE-*/ || $CI_COMMIT_REF_NAME =~ /master/ || $CI_COMMIT_TAG when: on_failure - when: never #################Deploy PROD Jobs Configure ##################### ## PROD deploy_prod: variables: DEPLOY_FILE: 'config/deployment-prod.yaml' ENV_NAME: 'prod' stage: deploy-prod image: ${KUBECTL_IMAGE} extends: .deploy_k8s environment: on_stop: "rollout_prod" needs: - deploy_stag abrules: - if: $RUN_DEPLOY_K8S == 'no' when: never - if: $CI_COMMIT_REF_NAME =~ /^RELEASE-*/ || $CI_COMMIT_REF_NAME =~ /master/ || $CI_COMMIT_TAG when: manual - when: never ## PROD应用回滚 rollout_prod: variables: DEPLOY_FILE: 'config/deployment-prod.yaml' ENV_NAME: 'prod' stage: rollout-prod image: ${KUBECTL_IMAGE} extends: .rollout_k8s needs: - deploy_prod rules: - if: $RUN_DEPLOY_K8S == 'no' when: never - if: $CI_COMMIT_REF_NAME =~ /^RELEASE-*/ || $CI_COMMIT_REF_NAME =~ /master/ || $CI_COMMIT_TAG when: on_failure - when: never JAVA项目交付流水线
导入作业模板
include: - project: 'cidevops/cidevops-newci-service' ref: master file: 'templates/default-pipeline.yml'
配置项目参数
variables: ## 全局配置 GIT_CLONE_PATH: ${CI_BUILDS_DIR}/builds/${CI_PROJECT_NAMESPACE}/${CI_PROJECT_NAME}/${CI_PIPELINE_ID} GIT_CHECKOUT: "false" CACHE_DIR: "target/" ## 作业控制 RUN_PIPELINE_BUILD: "yes" #是否运行构建 yes/no RUN_PIPELINE_TEST: "yes" #是否运行测试 yes/no RUN_CODE_ANALYSIS: "yes" #是否代码扫描 yes/no RUN_BUILD_IMAGE: "yes" #是否生成镜像 yes/no RUN_DEPLOY_ARTIFACTS: "no" #是否上传制品 yes/no RUN_DEPLOY_K8S: "yes" #是否发布K8S yes/no ## 依赖容器镜像 BUILD_IMAGE: "maven:3.6.3-jdk-8" CURL_IMAGE: "curlimages/curl:7.70.0" SONAR_IMAGE: "sonarsource/sonar-scanner-cCIli:latest" KUBECTL_IMAGE: "lucj/kubectl:1.17.2" ## 构建测试参数 MAVEN_OPTS: "-Dmaven.repo.local=/home/gitlab-runner/ci-build-cache/maven " #maven构建参数 BUILD_SHELL: 'mvn clean package -DskipTests --settings=./settings.xml ' #构建命令 #GRADLE_OPTS: "" #gradle构建参数 ## 单元测试参数 TEST_SHELL : 'mvn test --settings=./settings.xml ' #测试命令 JUNIT_REPORT_PATH: 'target/surefire-reports/TEST-*.xml' #单元测试报告 ## 代码扫描 SONAR_SOURCE_DIR : "src" #项目源码目录 SONAR_SERVER_URL: "http://192.168.1.200:30090" #SonarQube服务器信息 SONAR_SERVER_LOGIN: "ee2bcb37deeb6dfe3a07fe08fb529559b00c1b7b" #Sonar Token最好在项目中定义。 SONAR_SCAN_ARGS: "-Dsonar.sources=${SONAR_SOURCE_DIR} -Dsonar.java.binaries=target/classes -Dsonar.java.test.binaries=target/test-classes -Dsonar.java.surefire.report=target/surefire-reports " #项目扫描参数 ## 构建镜像 CI_REGISTRY: 'registry.cn-beijing.aliyuncs.com' #镜像仓库地址 CI_REGISTRY_USER: 'xxxxxx' &模板nbsp; #仓库用户信息 #CI_REGISTRY_PASSWD: 'xxxxxxxx.' #仓库用户密码 IMAGE_NAME: "${CI_REGISTRY}/${CI_PROJECT_PATH}:${CI_COMMIT_REF_NAME}-${CI_COMMIT_SHORT_SHA}" #镜像名称 DOCKER_FILE_PATH: "./Dockerfile" #Dockerfile位置 ## 上传制品库(artifactory) #ARTIFACTORY_URL: "http://192.168.1.200:30082/artifactory" #制品库地址 #ARTIFACTORY_NAME: "${CI_PROJECT_NAMESPACE}" #制品库名称 #ARTIFACT_PACKAGE: "jar" #制品类型 #ARTIFACT_PATH: "target/*.${ARTIFACT_PACKAGE}" #制品位置 #TARGET_FILE_PATH: "${CI_PROJECT_NAMESPACE}/${CI_PROJECT_NAME}/${CI_COMMIT_REF_NAME}-${CI_COMMIT_SHORT_SHA}" #目标制品位置(目录结构) #TARGET_ARTIFACT_NAME: "${CI_PROJECT_NAME}-${CI_COMMIT_REF_NAME}-${CI_COMMIT_SHORT_SHA}.${ARTIFACT_PACKAGE}" #目标制品名称 ## 部署应用k8s APP_NAME: "$CI_PROJECT_NAME" #应用名称 deploymentName CONTAINER_PORT: "8081" #服务端口 servicesPort NAMESPACE: "$CI_PROJECT_NAME-$CI_PROJECT_ID-$CI_ENVIRONMENT_SLUG" #名称空间 ENV_URL: "${ENV_NAME}.${CI_PROJECT_NAMESPACE}.${CI_PROJECT_NAME}.devops.com" #IngressHosts
指定CI文件
运行流水线测试
docker镜像仓库
部署环境演示
Kubernetes集群中应用状态
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