Kubernetes SpringCloud微服务容器云之路

SpringCloud微服务容器云之路

1. Springboot应用配合Actuator开启：监控检查，优雅停机，监控metrics等endpoints
2. 根据Dockerfile定义制作Docker镜像并上传Harbor私有Docker Registry
3. 渲染K8S部署模板文件并完成应用部署，同时应该考虑快速回滚等保障机制

Tips: 步骤2 - 可使用Maven Plugin dockerfile-maven集成到Maven流程中，命令如: mvn dockerfile:build, mvn dockerfile:push, 详见官方文档

1、Springboot配置示例

spring:
  application:
    name: spring-produce
  profiles:
    active: ${ENVIRONMENT:pro}
server:
  port: 10080
management:
  endpoints:
    web:
      base-path: /actuator/
      exposure:
        include: health,shutdown,prometheus # 监控检查，优雅停机，监控metrics
  endpoint:
    shutdown:
      enabled: true
  metrics:
    tags:
      application: ${spring.application.name} # 监控metrics Tag
eureka:
  instance:
    preferIpAddress: true
  client:
    serviceUrl:
      defaultZone: http://eureka-0.eureka.micro-public.svc.cluster.local:8761/eureka,http://eureka-1.eureka.micro-public.svc.cluster.local:8761/eureka,http://eureka-2.eureka.micro-public.svc.cluster.local:8761/eureka
logging:
  file:
    max-size: 200MB
    max-history: 7
    path: /opt/logs
    name: /opt/logs/${HOSTNAME}.${spring.application.name}.log

注意：actuator开启prometheus需要添加依赖

<dependency>
  <groupId>io.micrometer</groupId>
  <artifactId>micrometer-registry-prometheus</artifactId>
  <version>${micrometer.version}</version>
</dependency>

2、Dockerfile

在项目根目录下创建Dockerfile

# base镜像 - JDK发行版
FROM adoptopenjdk:8u252-b09-jdk-hotspot
# 署名
MAINTAINER Boer Zhang <[email protected]>
# 工作目录 - 即jar包所在目录
WORKDIR /opt
# mvn clean package -Dmaven.test.skip=true
## 服务版本
COPY target/produce-1.0.1.jar .
# 更改镜像时区
RUN echo "Asia/Chongqing" > /etc/timezone
# 暴露服务端口
EXPOSE 10080
# 服务启动命令
## 1、${JVM_OPTS} - JVM配置，如：-Xms768m -Xmx768m -javaagent:/usr/skywalking/agent/skywalking-agent.jar
## 2、${APP_OPTS} - APP配置，如：--spring.profiles.active=dev --spring.kafka.consumer.group-id=xxx.group
CMD [ "sh", "-c", "java ${JVM_OPTS} -jar produce-1.0.1.jar ${APP_OPTS}" ]

3、K8S容器云部署文件模板

在项目根目录下创建manifests目录，在目录下创建文件k8s.yaml

1. 服务名称 - 全局替换<change-me>为您的服务名称
2. 服务端口 - 全局替换10080为您的服务端口
3. 服务资源 - 注意resources字段服务所申请的资源
4. 服务域名 - 根据实际情况，选择是否需要对外暴露Ingress
5. 服务版本 - 根据项目pom文件version字段，同时修改Dockerfile中jar包版本

apiVersion: apps/v1
kind: Deployment
metadata:
  name: <change-me>-deployment # deployment名称
  annotations:
    kubernetes.io/change-cause: <CHANGE_CAUSE> # 版本说明 - 用于回滚等
spec:
  selector:
    matchLabels:
      app: <change-me> # 标签选择器，与下面[Flag_label]对应
  replicas: 1 # 多实例
  template:
    metadata:
      labels:
        app: <change-me> # [Flag_label]
    spec:
      initContainers: # skywalking-agent initContainer
        - image: registry.boer.xyz/public/skywalking-agent:8.1.0
          name: skywalking-agent
          imagePullPolicy: IfNotPresent
          command: ['sh']
          args: ['-c','cp -r /usr/skywalking/agent/* /skywalking/agent']
          volumeMounts:
            - mountPath: /skywalking/agent
              name: skywalking-agent
      containers:
        - name: <change-me> # EFK日志系统日志查询tag
          image: <IMAGE>:<IMAGE_TAG> # 镜像地址:版本
          imagePullPolicy: IfNotPresent
          volumeMounts:
            - mountPath: /usr/skywalking/agent # 挂载skywalking-agent到pod
              name: skywalking-agent
            - mountPath: /opt/logs # 挂载app-logs到node
              name: app-logs
          ports:
            - containerPort: 10080 # 服务暴露端口
          resources: # 服务所需资源申请
            requests:
              memory: "512Mi"
              cpu: "200m"
            limits:
              memory: "1Gi"
              cpu: "600m"
          env: # 环境变量
            - name: ENVIRONMENT
              value: "pro"
            - name: APP_OPTS
              value: "--spring.kafka.consumer.group-id=consumer.group"
            - name: JVM_OPTS
              value: "-Xms512m -Xmx512m -javaagent:/usr/skywalking/agent/skywalking-agent.jar"
          livenessProbe: # 存活探针
            httpGet:
              path: /actuator/health
              port: 10080
            initialDelaySeconds: 60
            periodSeconds: 10
            timeoutSeconds: 5
          readinessProbe: # 就绪探针
            httpGet:
              path: /actuator/health
              port: 10080
            initialDelaySeconds: 30
            periodSeconds: 10
            timeoutSeconds: 5
          lifecycle:
            preStop: # pod停止前Hook - 优雅停机
              exec:
                command:
                  - "curl"
                  - "-XPOST"
                  - "http://127.0.0.1:10080/actuator/shutdown"
      imagePullSecrets:
        - name: regcred
      volumes:
        - name: skywalking-agent
          emptyDir: {}
        - name: app-logs
          hostPath:
            path: /opt/app-logs/<change-me>
            type: DirectoryOrCreate
---
apiVersion: v1
kind: Service
metadata:
  name: <change-me>-service # 服务名称
  annotations:
    prometheus.io/path: /actuator/prometheus # 应用监控metrics路径 - 对应配置文件开启prometheus
    prometheus.io/port: "10080"
    prometheus.io/scrape: "true"
  labels:
    app: <change-me>
spec:
  type: ClusterIP
  ports:
    - port: 10080
      targetPort: 10080
  selector:
    app: <change-me>
---
# 请根据实际情况，选择是否需要对外暴露Ingress
## 在微服务架构中，一般通过Gateway网关统一对外提供服务，微服务单独对外暴露Ingress情况请谨慎选择
apiVersion: networking.k8s.io/v1beta1
kind: Ingress
metadata:
  name: <change-me>-ingress
  annotations:
    nginx.ingress.kubernetes.io/rewrite-target: /
    nginx.ingress.kubernetes.io/load-balance: "ip_hash" # session保持
    nginx.ingress.kubernetes.io/upstream-hash-by: "$request_uri" # 配合ip_hash使用
spec:
  rules:
    - host: <change-me>.boer.xyz # Ingress 域名
      http:
        paths:
          - path: /
            backend:
              serviceName: <change-me>-service
              servicePort: 10080

4、K8S发布

此过程已通过Jenkins Pipeline自动化CICD方式实现

1. Git clone/pull代码：git clone git://gitea.boer.xyz/spring-produce.git
2. Junit单元测试：mvn test # 普通程序员都没有单元测试？
3. Maven编译打包：mvn clean package -Dmaven.test.skip=true
4. Docker打包镜像：docker build -t ${image}:${imageTag} .
5. Harbor镜像推送：docker push ${image}:${imageTag}
6. Sed渲染模板：

   sed -i "s|<CHANGE_CAUSE>|${changeCause}|g" manifests/k8s.yaml
   sed -i "s|<IMAGE>|${image}|g" manifests/k8s.yaml
   sed -i "s|<IMAGE_TAG>|${imageTag}|g" manifests/k8s.yaml

7. Kubectl部署应用：kubectl --kubeconfig $kubeconfig apply -f manifests/k8s.yaml -n ${NAMESPACE}
8. Rollout快速回滚：kubectl --kubeconfig ${kubeconfig} rollout undo deployment consume-deployment -n ${NAMESPACE}