kubernetes之部署springboot项目jar项目(三)
kubernetes之部署war项目(三)k8s系列 源自我工作上的实际场景,记录于此。k8s部署springboot项目假设我的jar项目是:myjar.jar用到的环境centos 7.9 + docker + docker harbor + k8s1、编写Dockerfileharbor 是写在hosts中的域名FROM harbor/openjdk:8-jdk-alpineADD *.ja
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kubernetes之部署war项目(三)
k8s系列
源自我工作上的实际场景,记录于此。
k8s部署springboot项目
假设我的jar项目是:myjar.jar
用到的环境
centos 7.9 + docker + docker harbor + k8s
1、编写Dockerfile
harbor 是写在hosts中的域名
FROM harbor/openjdk:8-jdk-alpine
ADD *.jar app.jar
EXPOSE 8097
ENTRYPOINT ["java","-Djava.security.egd=file:/dev/./urandom","-Duser.timezone=GMT+08","-jar","/app.jar"]
将jar与Dockerfile放在同一文件夹
执行构建镜像:
docker build -t harbor/myjar:2021102101 .
推送到私服
docker push harbor/myjar:2021102101
导出镜像
docker save harbor/myjar:2021102101 | gzip > myjar-2021102101.tar.gz
2、编写yaml
编写k8s的yaml,myjar.yaml
apiVersion: v1
kind: Service
metadata:
labels:
app: myjar
name: myjar-service
spec:
ports:
- port: 8097
protocol: TCP
# 指向dockerfile暴露的端口
targetPort: 8097
selector:
app: myjar
type: NodePort
---
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
app: myjar
managedFields:
name: myjar-deployment
spec:
progressDeadlineSeconds: 600
replicas: 1
revisionHistoryLimit: 10
selector:
matchLabels:
app: myjar
strategy:
rollingUpdate:
maxSurge: 25%
maxUnavailable: 25%
type: RollingUpdate
template:
metadata:
creationTimestamp: null
labels:
app: myjar
spec:
containers:
# 需要注意修改对应的镜像
- image: harbor/myjar:2021102101
imagePullPolicy: IfNotPresent
name: myjar
resources:
limits:
cpu: 500m
memory: 1Gi
requests:
cpu: 10m
memory: 256Mi
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: File
volumeMounts:
- mountPath: /application.yml
name: application-yml
subPath: application.yml
dnsPolicy: ClusterFirst
restartPolicy: Always
schedulerName: default-scheduler
securityContext: {}
serviceAccount: default
serviceAccountName: default
terminationGracePeriodSeconds: 30
volumes:
- configMap:
defaultMode: 420
name: myjar-configmap
name: application-yml
---
apiVersion: v1
kind: ConfigMap
metadata:
labels:
app: myjar-configmap
name: myjar-configmap
# 配置application.yml,注意根据实际情况修改数据DNS库域名、端口和数据库的名称
data:
application.yml: |
DB_DOMAIN: 10.8.6.125
DB_PORT: 3306
DB_NAME: temp
TOKEN_STORE_STYLE: memory # memory | redis | db
AUTH-CENTER: http://10.8.6.125:8070
BASEDIR: /data/${spring.application.name}
server:
port: 8097
tomcat:
basedir: ${BASEDIR}/tmp
spring:
application:
name: preometheus-console
main:
allow-bean-definition-overriding: true
datasource:
name: druidDatasource
type: com.alibaba.druid.pool.DruidDataSource
druid:
driver-class-name: com.mysql.cj.jdbc.Driver
url: jdbc:mysql://${DB_DOMAIN}:${DB_PORT}/${DB_NAME}?useUnicode=true&characterEncoding=utf8&serverTimezone=UTC
username: root
password: root
min-idle: 1
max-active: 100
max-open-prepared-statements: 50
max-pool-prepared-statement-per-connection-size: 20
max-wait: 60000
min-evictable-idle-time-millis: 300000
pool-prepared-statements: true
test-while-idle: true
time-between-eviction-runs-millis: 60000
validation-query: select 'x'
jpa:
hibernate:
ddl-auto: none
properties:
hibernate:
# dialect: org.hibernate.dialect.Oracle12cDialect (数据库方言,oracle时使用)
# org.hibernate.dialect.PostgreSQL9Dialect (opengauss数据库使用方言)
dialect: org.hibernate.dialect.MySQL8Dialect
show-sql: false
open-in-view: false
messages:
cache-duration: 3600
encoding: UTF-8
cloud:
inetutils:
timeoutSeconds: 30
jackson:
date-format: yyyy-MM-dd HH:mm:ss
time-zone: GMT+8
# redis:
# host: localhost
# port: 6379
#policy:
# password:
# update:
# userStatus: false
security:
oauth2:
resource:
user-info-uri: ${AUTH-CENTER}/current
prometheus:
prometheus-config-name: alerts.yml
alertmanager-config-name: alertmanager.yml
variables:
config:
- name: "cluster_id"
zhName: "集群"
promQL: "label_values(jvm_memory_used_bytes,cluster_id)"
isMulti: false
sort: 1
- name: "instance"
zhName: "节点"
promQL: "label_values(jvm_memory_used_bytes{cluster_id=~'$cluster_id'},instance)"
isMulti: false
sort: 2
- name: "service_name"
zhName: "服务"
promQL: "label_values(agree_afa_engine_runtime_milliseconds{cluster_id=~'$cluster_id'},service_name)"
isMulti: false
sort: 3
- name: "scene_name"
zhName: "场景"
promQL: "label_values(agree_afa_engine_svc_scene_executed_milliseconds{service_name=~'$service_name'},scene_name)"
isMulti: false
sort: 4
mail:
# smtp服务器地址
host: smtp.163.com
# smtp服务器端口
port: 25
# smtp是否使用ssl
smtp-ssl-enable: false
# 邮箱名
mail-username:
# 邮箱密码
mail-password:
mail-debug: false
is-open: false #是否开启邮件
logging.file: ${BASEDIR}/logs/mnt.log
logging.file.max-size: 10MB
logging.file.max-history: 15 # 默认保存15天的日志
logging.pattern.file: '%d{yyyy-MMM-dd HH:mm:ss.SSS} %-5level [%thread] %logger{15} - %msg%n'
注意修改上面的数据库连接账号密码
部署k8s:
kubectl create -f myjar.yaml
查看项目部署日志
kubectl get pod
# 查看对应的pod
kubectl logs myjar-deployment-679bfdcbfc-sk4pc
到此部署完成,查看对外开放的端口
kubectl get svc
访问:http://10.8.4.181:31186/actuator/info
效果:
至此,部署完毕!
删除对应的pod、service等:
kubectl delete configmaps myjar-configmap -n
kubectl delete deployments.apps myjar-deployment
kubectl delete svc myjar-service
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