ng-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