汇总配置
业务层面
项目依赖 pom.xml
<!-- 引入Spring boot的监控机制--> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-actuator</artifactId> </dependency> <dependency> <groupId>io.micrometer</groupId> <artifactId>micrometer-registry-prometheus</artifactId> </dependency>
定义访问端口、路径及权限 application.yaml
spring: application: name: project-sample profiles: active: @profileActive@ lifecycle: timeout-per-shutdown-phase: 30s # 停机过程超时时长设置30s，超过30s，直接停机 server: port: 8080 shutdown: graceful # 默认为IMMEDIATE，表示立即关机；GRACEFUL表示优雅关机 management: server: port: 50000 # 启用独立运维端口 metrics: tags: application: ${spring.application.name} endpoint: # 开启shutdown和health端点 shutdown: enabled: true health: probes: enabled: true endpoints: web: exposure: base-path: /actuator # 指定上下文路径，启用相应端点 include: health,shutdown,metrics,prometheus
运维层面
确保dockerfile模版集成curl工具，否则无法使用curl命令
FROM openjdk:8-jdk-alpine #构建参数 ARG JAR_FILE ARG WORK_PATH="/app" ARG EXPOSE_PORT=8080 #环境变量 ENV JAVA_OPTS=""\ JAR_FILE=${JAR_FILE} #设置时区 RUN ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && echo 'Asia/Shanghai' >/etc/timezone RUN sed -i 's/dl-cdn.alpinelinux.org/mirrors.ustc.edu.cn/g' /etc/apk/repositories \ && apk add --no-cache curl #将maven目录的jar包拷贝到docker中，并命名为for_docker.jar COPY target/$JAR_FILE $WORK_PATH/ #设置工作目录 WORKDIR $WORK_PATH # 指定于外界交互的端口 EXPOSE $EXPOSE_PORT # 配置容器，使其可执行化 ENTRYPOINT exec java $JAVA_OPTS -jar $JAR_FILE
k8s部署模版deployment.yaml
apiVersion: apps/v1 kind: Deployment metadata: name: {APP_NAME} labels: app: {APP_NAME} spec: selector: matchLabels: app: {APP_NAME} replicas: {REPLICAS} # Pod副本数 strategy: type: RollingUpdate # 滚动更新策略 rollingUpdate: maxSurge: 1 maxUnavailable: 0 template: metadata: name: {APP_NAME} labels: app: {APP_NAME} annotations: timestamp: {TIMESTAMP} prometheus.io/port: "50000" # 不能动态赋值 prometheus.io/path: /actuator/prometheus prometheus.io/scrape: "true" # 基于pod的服务发现 spec: affinity: # 设置调度策略，采取多主机/多可用区部署 podAntiAffinity: preferredDuringSchedulingIgnoredDuringExecution: - weight: 100 podAffinityTerm: labelSelector: matchExpressions: - key: app operator: In values: - {APP_NAME} topologyKey: "kubernetes.io/hostname" # 多可用区为"topology.kubernetes.io/zone" terminationGracePeriodSeconds: 30 # 优雅终止宽限期 containers: - name: {APP_NAME} image: {IMAGE_URL} imagePullPolicy: Always ports: - containerPort: {APP_PORT} - name: management-port containerPort: 50000 # 应用管理端口 readinessProbe: # 就绪探针 httpGet: path: /actuator/health/readiness port: management-port initialDelaySeconds: 30 # 延迟加载时间 periodSeconds: 10 # 重试时间间隔 timeoutSeconds: 1 # 超时时间设置 successThreshold: 1 # 健康阈值 failureThreshold: 9 # 不健康阈值 livenessProbe: # 存活探针 httpGet: path: /actuator/health/liveness port: management-port initialDelaySeconds: 30 # 延迟加载时间 periodSeconds: 10 # 重试时间间隔 timeoutSeconds: 1 # 超时时间设置 successThreshold: 1 # 健康阈值 failureThreshold: 6 # 不健康阈值 resources: # 容器资源管理 limits: # 资源限制（监控使用情况） cpu: 0.5 memory: 1Gi requests: # 最小可用资源（灵活调度） cpu: 0.1 memory: 200Mi env: - name: TZ value: Asia/Shanghai --- kind: HorizontalPodAutoscaler # 弹性伸缩控制器 apiVersion: autoscaling/v2beta2 metadata: name: {APP_NAME} spec: scaleTargetRef: apiVersion: apps/v1 kind: Deployment name: {APP_NAME} minReplicas: {REPLICAS} # 缩放范围 maxReplicas: 6 metrics: - type: Resource resource: name: cpu # 指定资源指标 target: type: Utilization averageUtilization: 50
