搜索

使用GitLabCI模板库的流水线优化实践

k8s技术圈

共 18339字，需浏览 37分钟

 ·

2021-06-09 07:57



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}                           -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} ${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'                  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                      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" ${DEPLOY_FILE}    - sed -i "s#__appname__#${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} \            --docker-email=test@test.com -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 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: ""                #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}-${CI_COMMIT_SHORT_SHA}"     #镜像名称  DOCKER_FILE_PATH: "./Dockerfile"                              #Dockerfile位置
  ## 上传制品库(artifactory)  ARTIFACTORY_URL: "http://192.168.1.200:30082/artifactory"     #制品库地址  ARTIFACTORY_NAME: "${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  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:    - 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 ####################### UATdeploy_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: never    - if: $CI_COMMIT_REF_NAME =~ /^RELEASE-*/ || $CI_COMMIT_REF_NAME =~ /master/ || $CI_COMMIT_TAG      when: on_failure    - when: never
#################Deploy STAG Jobs Configure ####################### STAGdeploy_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 ####################### PRODdeploy_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  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
## 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-cli: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=${SONAR_SOURCE_DIR}                    -Dsonar.java.binaries=target/classes                    -Dsonar.java.test.binaries=target/test-classes                    -Dsonar.java.surefire.report=target/surefire-reports "                                     #项目扫描参数
  ## 构建镜像  CI_REGISTRY: 'registry.cn-beijing.aliyuncs.com'               #镜像仓库地址                CI_REGISTRY_USER: 'xxxxxx'                               #仓库用户信息  #CI_REGISTRY_PASSWD: 'xxxxxxxx.'                              #仓库用户密码  IMAGE_NAME: "${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



浏览 30
点赞
评论
收藏
分享

手机扫一扫分享

分享
举报
评论
图片
表情
推荐
Vue3 的模板编译优化
前端桃园
0
FatalFacebook 模板库
Fatal 是 C++11 及以上的软件快速原型库，提供非常广泛的模板元编程工具，用来反射和对元数据
libsigc++C++模板库
libsigc++是实现类型安全回调的一个C++模板库。 libsigc++提供了信号(signal
libsigc++C++模板库
libsigc++是实现类型安全回调的一个C++模板库。libsigc++提供了信号(signal)和槽(slot)的概念，实现了信号机制。slot对应一个回调函数，信号(signal)与槽(slot
FatalFacebook 模板库
Fatal是C++11及以上的软件快速原型库，提供非常广泛的模板元编程工具，用来反射和对元数据进行操作。构建单元测试$ clang++ -Wall -std=c++11 -I path/to/fata
史上最全存储引擎、索引使用及SQL优化的实践
Java技术驿站
0
使用 React&Mobx 的几个最佳实践
前端桃园
0
OTL数据库模板库
OTL 是 Oracle, Odbc and DB2-CLI Template Library 的缩
Java Optional使用的最佳实践
源码共读
0
ELK 性能优化实践
武培轩
0
点赞
评论
收藏
分享

手机扫一扫分享

分享
举报