### 部署 Kubernetes 應用 如何來部署一個原生的 Kubernetes 應用呢？ 部署一個kubernetes 應用流程如下：  1. pull代碼 2. 測試registry，并登陸registry. 3. 自動編寫應用 Dockerfile 4. 構建打包 Docker 鏡像 5. 應用maven 構建緩存 5. 推送 Docker 鏡像到倉庫 6. 更改 Deployment YAML 文件中參數 7. 利用 kubectl 工具部署應用 8. 檢查應用狀態 ### 第一步，Pull 代碼及全局環境變量申明 #!/bin/bash # Filename: k8s-deploy_v0.2.sh # Description: jenkins CI/CD 持續發布腳本 # Author： yi.hu # Email: yi.hu@dianrong.com # Revision: 1.0 # Date: 2018-08-10 # Note: prd # zookeeper基礎服務,依照環境實際地址配置 init() { local lowerEnv="$(echo ${AppEnv} | tr '[:upper:]' 'lower')" case "${lowerEnv}" in dev) CFG_ADDR="10.34.11.186:4181" DR_CFG_ZOOKEEPER_ENV_URL="10.34.11.186:4181" ;; demo) CFG_ADDR="10.34.11.186:4181" DR_CFG_ZOOKEEPER_ENV_URL="10.34.11.186:4181" ;; *) echo "Not support AppEnv: ${AppEnv}" exit 1 ;; esac } # 函數執行 init # 初始化變量 AppId=$(echo ${AppOrg}_${AppEnv}_${AppName} |sed 's/[^a-zA-Z0-9_-]//g' | tr "[:lower:]" "[:upper:]") CFG_LABEL=${CfgLabelBaseNode}/${AppId} CFG_ADDR=${CFG_ADDR} VERSION=$(echo "${GitBranch}" | sed 's@release/@@') ### 第二步，登錄harbor 倉庫 docker_login () { docker login ${DOCKER_REGISTRY} -u${User} -p${PassWord} } ### 第三步，編譯代碼，制作應用鏡像，上傳鏡像到harbor倉庫。 build() { if [ "x${ACTION}" == "xDEPLOY" ] || [ "x${ACTION}" == "xPRE_DEPLOY" ]; then echo "Test harbor registry: ${DOCKER_REGISTRY}" curl --connect-timeout 30 -I ${DOCKER_REGISTRY}/api/projects 2>/dev/null | grep 'HTTP/1.1 200 OK' > /dev/null echo "Check image EXIST or NOT: ${ToImage}" ImageCheck_Harbor=$(echo ${ToImage} | sed 's/\([^/]\+\)\([^:]\+\):/\1\/api\/repositories\2\/tags\//') Responed_Code=$(curl -u${User}:${PassWord} -so /dev/null -w '%{response_code}' ${ImageCheck_Harbor} || true) echo ${Responed_Code} if [ "${NoCache}" == "true" ] || [ "x${ResponedCode}" != "x200" ] ; then if [ "x${ActionAfterBuild}" != "x" ]; then eval ${ActionAfterBuild} fi echo "生成Dockerfile文件" echo "FROM ${FromImage}" > Dockerfile cat >> Dockerfile <<-EOF ${Dockerfile} EOF echo "同步上層鏡像: ${FromImage}" docker pull ${FromImage} # 同步上層鏡像 echo "構建鏡像，并Push到倉庫: ${ToImage}" docker build --no-cache=${NoCache} -t ${ToImage} . && docker push ${ToImage} || exit 1 # 開始構建鏡像，成功后Push到倉庫 echo "刪除鏡像: ${ToImage}" docker rmi ${ToImage} || echo # 刪除鏡像 fi fi } ### 第四步，發布、預發布、停止、重啟 deploy() { if [ "x${ACTION}" == "xSTOP" ]; then # 停止當前實例 kubectl delete -f ${AppName}-deploy.yaml elif [ "x${ACTION}" == "xRESTART" ]; then kubectl delete pod -n ${NameSpace} -l app=${AppName} elif [ "x${ACTION}" == "xDEPLOY" ]; then kubectl apply -f ${AppName}-deploy.yaml fi } ### 第五步，查看pod 是否正常啟動，如果失敗則返回1，進而會詳細顯示報錯信息。 check_status() { RETRY_COUNT=5 echo "檢查 pod 運行狀態" while (( $RETRY_COUNT )); do POD_STATUS=$(kubectl get pod -n ${NameSpace} -l app=${AppName} ) AVAILABLE_COUNT=$(kubectl get deploy -n ${NameSpace} -l app=${AppName} | awk '{print $(NF-1)}' | grep -v 'AVAILABLE') if [ "X${AVAILABLE_COUNT}" != "X${Replicas}" ]; then echo "[$(date '+%F %T')] Show pod Status , wait 30s and retry #$RETRY_COUNT " echo "${POD_STATUS}" let RETRY_COUNT-- || true sleep 30 elif [ "X${AVAILABLE_COUNT}" == "X${Replicas}" ]; then echo "Deploy Running successed" break else echo "[$(date '+%F %T')] NOT expected pod status: " echo "${POD_STATUS}" return 1 fi done if [ "X${RETRY_COUNT}" == "X0" ]; then echo "[$(date '+%F %T')] show describe pod status: " echo -e "`kubectl describe pod -n ${NameSpace} -l app=${AppName}`" fi } #主流程函數執行 docker_login build ### 第六步， 更改 YAML 文件中參數 cat > ${WORKSPACE}/${AppName}-deploy.yaml <<- EOF ##################################################### # # ${ACTION} Deployment # ##################################################### apiVersion: apps/v1beta2 # for versions before 1.8.0 use apps/v1beta1 kind: Deployment metadata: name: ${AppName} namespace: ${NameSpace} labels: app: ${AppName} version: ${VERSION} AppEnv: ${AppEnv} spec: replicas: ${Replicas} selector: matchLabels: app: ${AppName} template: metadata: labels: app: ${AppName} spec: containers: - name: ${AppName} image: ${ToImage} ports: - containerPort: ${ContainerPort} livenessProbe: httpGet: path: ${HealthCheckURL} port: ${ContainerPort} initialDelaySeconds: 90 timeoutSeconds: 5 periodSeconds: 5 readinessProbe: httpGet: path: ${HealthCheckURL} port: ${ContainerPort} initialDelaySeconds: 5 timeoutSeconds: 5 periodSeconds: 5 # configmap env env: - name: CFG_LABEL value: ${CFG_LABEL} - name: HTTP_SERVER value: ${HTTP_SERVER} - name: CFG_ADDR value: ${CFG_ADDR} - name: DR_CFG_ZOOKEEPER_ENV_URL value: ${DR_CFG_ZOOKEEPER_ENV_URL} - name: ENTRYPOINT valueFrom: configMapKeyRef: name: ${ConfigMap} key: ENTRYPOINT - name: HTTP_TAR_FILES valueFrom: configMapKeyRef: name: ${ConfigMap} key: HTTP_TAR_FILES - name: WITH_SGHUB_APM_AGENT valueFrom: configMapKeyRef: name: ${ConfigMap} key: WITH_SGHUB_APM_AGENT - name: WITH_TINGYUN valueFrom: configMapKeyRef: name: ${ConfigMap} key: WITH_TINGYUN - name: CFG_FILES valueFrom: configMapKeyRef: name: ${ConfigMap} key: CFG_FILES # configMap volume volumeMounts: - name: applogs mountPath: /volume_logs/ volumes: - name: applogs hostPath: path: /opt/app_logs/${AppName} imagePullSecrets: - name: ${ImagePullSecrets} --- apiVersion: v1 kind: Service metadata: name: ${AppName} namespace: ${NameSpace} labels: app: ${AppName} spec: ports: - port: ${ContainerPort} targetPort: ${ContainerPort} selector: app: ${AppName} EOF ### 第七步，創建configmap 環境變量 kubectl delete configmap ${ConfigMap} -n ${NameSpace} kubectl create configmap ${ConfigMap} ${ConfigMapData} -n ${NameSpace} # 執行部署 deploy # 打印配置 cat ${WORKSPACE}/${AppName}-deploy.yaml # 執行啟動狀態檢查 check_status