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【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务


文章目录

  • ​​zk环境拆分为test和prod环境​​
  • ​​namespace 分环境,创建test 和prod​​
  • ​​数据库进行拆分,因实验资源有限,故使用分库的形式模拟分环境​​
  • ​​分别创建修改两个环境的资源配置文件:​​
  • ​​cm.yaml 修改ns,数据库库名,eureka地址​​
  • ​​dp.yaml​​
  • ​​svc.yaml​​
  • ​​ingress.yaml​​
  • ​​接下来部署apollo-adminservice​​
  • ​​cm.yaml​​
  • ​​dp.yaml​​
  • ​​接下来部署prod环境的apollo-configservice,还是一样的套路​​
  • ​​cm.yaml​​
  • ​​dp.yaml​​
  • ​​svc.yaml​​
  • ​​ingress.yaml​​
  • ​​修改apollo-adminservice的资源配置清单​​
  • ​​cm.yaml​​
  • ​​dp.yaml​​
  • ​​打开portal.od.com验证,并且创建两个项目​​
  • ​​接下来交付dubbo服务分环境交付​​
  • ​​dp.yaml​​
  • ​​接下来交付dubbo-demo-consumer​​
  • ​​dp.yaml​​
  • ​​svc.yaml​​
  • ​​ingress.yaml​​
  • ​​接下来交付prod环境的dubbo-demo-server和dubbo-demo-consumer服务​​
  • ​​dp.yaml​​
  • ​​接下来做dubbo-demo-consumer的资源配置清单​​
  • ​​dp.yaml​​
  • ​​svc.yaml​​
  • ​​ingress.yaml​​
  • ​​模拟发版​​

要进行分环境,需要将现有实验环境进行拆分 其中portal服务(门户)可在各个环境共用,但apollo-adminservice和apollo-configservice必须要分开。

zk环境拆分为test和prod环境

添加dns解析:

# vi /var/named/od.com.zone

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_docker

namespace 分环境,创建test 和prod

# kubectl create ns test
# kubectl create ns prod

创建secret:

# kubectl create secret docker-registry harbor --docker-server=harbor.od.com --docker-username=harbor --docker-password=Harbor12345 -n test

# kubectl create secret docker-registry harbor --docker-server=harbor.od.com --docker-username=harbor --docker-password=Harbor12345 -n prod

数据库进行拆分,因实验资源有限,故使用分库的形式模拟分环境

修改数据库初始化脚本,分别创建ApolloConfigTestDB和ApolloConfigProdDB

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_docker_02


【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_mysql_03


修改数据库中eureka的地址,这里用到了两个新的域名,自行在bind9中添加解析

> update ApolloConfigProdDB.ServerConfig set ServerConfig.Value="http://config-prod.od.com/eureka" where ServerConfig.Key="eureka.service.url";


> grant INSERT,DELETE,UPDATE,SELECT on ApolloConfigProdDB.* to "apolloconfig"@"10.4.7.%" identified by "123456";

> update ApolloConfigTestDB.ServerConfig set ServerConfig.Value="http://config-test.od.com/eureka" where ServerConfig.Key="eureka.service.url";


> grant INSERT,DELETE,UPDATE,SELECT on ApolloConfigTestDB.* to "apolloconfig"@"10.4.7.%" identified by "123456";

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_docker_04


修改portal数据,支持fat和pro环境:

set Value='fat,pro' where Id=1;

修改portal的cm资源配置清单:

# vi /data/k8s-yaml/apollo-portal/cm.yaml

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_mysql_05

# kubectl apply -f http://k8s-yaml.od.com/apollo-portal/cm.yaml

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_spring_06

分别创建修改两个环境的资源配置文件:

test:

# cd /data/k8s-yaml

# mkdir -p test/{apollo-adminservice,apollo-configservice,dubbo-demo-server,dubbo-demo-consumer}

# mkdir -p prod/{apollo-adminservice,apollo-configservice,dubbo-demo-server,dubbo-demo-consumer}

将之前的资源配置清单cp到对应环境的目录中,进行修改:

# cd  test/apollo-configservice/
# cp ../../apollo-configservice/* ./

cm.yaml 修改ns,数据库库名,eureka地址

apiVersion: v1
kind: ConfigMap
metadata:
name: apollo-configservice-cm
namespace: test
data:
application-github.properties: |
# DataSource
spring.datasource.url = jdbc:mysql://mysql.od.com:3306/ApolloConfigTestDB?characterEncoding=utf8
spring.datasource.username = apolloconfig
spring.datasource.password = 123456
eureka.service.url = http://config-test.od.com/eureka
app.properties: |
appId=100003171

dp.yaml

kind: Deployment
apiVersion: extensions/v1beta1
metadata:
name: apollo-configservice
namespace: test

svc.yaml

kind: Service
apiVersion: v1
metadata:
name: apollo-configservice
namespace: test

ingress.yaml

kind: Ingress
apiVersion: extensions/v1beta1
metadata:
name: apollo-configservice
namespace: test

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_spring_07


服务已经注册进来了

接下来部署apollo-adminservice

修改apollo-adminservice的资源配置清单:

# cd /data/k8s-yaml/test/apollo-adminservice
# cp ../../apollo-adminservice/* ./

cm.yaml

apiVersion: v1
kind: ConfigMap
metadata:
name: apollo-adminservice-cm
namespace: test
data:
application-github.properties: |
# DataSource
spring.datasource.url = jdbc:mysql://mysql.od.com:3306/ApolloConfigTestDB?characterEncoding=utf8
spring.datasource.username = apolloconfig
spring.datasource.password = 123456
eureka.service.url = http://config-test.od.com/eureka
app.properties: |
appId=100003172

dp.yaml

kind: Deployment
apiVersion: extensions/v1beta1
metadata:
name: apollo-adminservice
namespace: test

应用资源配置清单:

# kubectl apply -f http://k8s-yaml.od.com/test/apollo-adminservice/cm.yaml
# kubectl apply -f http://k8s-yaml.od.com/test/apollo-adminservice/dp.yaml

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_spring_08

接下来部署prod环境的apollo-configservice,还是一样的套路

# cd ../../prod/apollo-configservice/
# cp ../../apollo-configservice/* ./

修改资源配置清单:

cm.yaml

apiVersion: v1
kind: ConfigMap
metadata:
name: apollo-configservice-cm
namespace: prod
data:
application-github.properties: |
# DataSource
spring.datasource.url = jdbc:mysql://mysql.od.com:3306/ApolloConfigProdDB?characterEncoding=utf8
spring.datasource.username = apolloconfig
spring.datasource.password = 123456
eureka.service.url = http://config-prod.od.com/eureka
app.properties: |
appId=100003171

dp.yaml

kind: Deployment
apiVersion: extensions/v1beta1
metadata:
name: apollo-configservice
namespace: prod
labels:
name: apollo-configservice
spec:
replicas: 1
selector:
matchLabels:
name: apollo-configservice
template:
metadata:
labels:
app: apollo-configservice
name: apollo-configservice
spec:
volumes:
- name: configmap-volume
configMap:
name: apollo-configservice-cm
containers:
- name: apollo-configservice
image: harbor.od.com/infra/apollo-configservice:v1.5.1
ports:
- containerPort: 8080
protocol: TCP
volumeMounts:
- name: configmap-volume
mountPath: /apollo-configservice/config
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: File
imagePullPolicy: IfNotPresent
imagePullSecrets:
- name: harbor
restartPolicy: Always
terminationGracePeriodSeconds: 30
securityContext:
runAsUser: 0
schedulerName: default-scheduler
strategy:
type: RollingUpdate
rollingUpdate:
maxUnavailable: 1
maxSurge: 1
revisionHistoryLimit: 7
progressDeadlineSeconds: 600

svc.yaml

kind: Service
apiVersion: v1
metadata:
name: apollo-configservice
namespace: prod
spec:
ports:
- protocol: TCP
port: 8080
targetPort: 8080
selector:
app: apollo-configservice

ingress.yaml

kind: Ingress
apiVersion: extensions/v1beta1
metadata:
name: apollo-configservice
namespace: prod
spec:
rules:
- host: config-prod.od.com
http:
paths:
- path: /
backend:
serviceName: apollo-configservice
servicePort: 8080

应用资源配置清单:

# kubectl apply -f http://k8s-yaml.od.com/prod/apollo-configservice/cm.yaml
# kubectl apply -f http://k8s-yaml.od.com/prod/apollo-configservice/dp.yaml
# kubectl apply -f http://k8s-yaml.od.com/prod/apollo-configservice/svc.yaml
# kubectl apply -f http://k8s-yaml.od.com/prod/apollo-configservice/ingress.yaml

修改apollo-adminservice的资源配置清单

# cd ../apollo-adminservice/
# cp ../../apollo-adminservice/* ./

cm.yaml

apiVersion: v1
kind: ConfigMap
metadata:
name: apollo-adminservice-cm
namespace: prod
data:
application-github.properties: |
# DataSource
spring.datasource.url = jdbc:mysql://mysql.od.com:3306/ApolloConfigProdDB?characterEncoding=utf8
spring.datasource.username = apolloconfig
spring.datasource.password = 123456
eureka.service.url = http://config-prod.od.com/eureka
app.properties: |
appId=100003172

dp.yaml

kind: Deployment
apiVersion: extensions/v1beta1
metadata:
name: apollo-adminservice
namespace: prod
labels:
name: apollo-adminservice
spec:
replicas: 1
selector:
matchLabels:
name: apollo-adminservice
template:
metadata:
labels:
name: apollo-adminservice
spec:
volumes:
- name: configmap-volume
configMap:
name: apollo-adminservice-cm
containers:
- name: apollo-adminservice
image: harbor.od.com/infra/apollo-adminservice:v1.5.1
ports:
- containerPort: 8080
protocol: TCP
volumeMounts:
- name: configmap-volume
mountPath: /apollo-adminservice/config
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: File
imagePullPolicy: IfNotPresent
imagePullSecrets:
- name: harbor
restartPolicy: Always
terminationGracePeriodSeconds: 30
securityContext:
runAsUser: 0
schedulerName: default-scheduler
strategy:
type: RollingUpdate
rollingUpdate:
maxUnavailable: 1
maxSurge: 1
revisionHistoryLimit: 7
progressDeadlineSeconds: 600

应用资源配置清单:

# kubectl apply -f http://k8s-yaml.od.com/prod/apollo-adminservice/cm.yaml
# kubectl apply -f http://k8s-yaml.od.com/prod/apollo-adminservice/dp.yaml

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_spring_09


两个服务都已经注册进来了,删除portal数据库中存储的关于之前项目的配置,接下来启动portal项目:

# mysql -uroot -p
> use ApolloPortalDB ;
> truncate table App;
> truncate table AppNamespace;

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_spring_10


【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_docker_11

打开portal.od.com验证,并且创建两个项目

首先创建dubbo-demo-service

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_mysql_12


添加配置:两个环境都添加上:注意连接地址一个是test.od.com,一个是prod.od.com

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_docker_13


接下来创建dubbo-demo-web项目:同样是两个环境都发布,注意一个是test.od.com,一个是prod.od.com

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_mysql_14

接下来交付dubbo服务分环境交付

同样操作,修改之前项目的资源配置清单:

# cd /data/k8s-yaml/test/dubbo-demo-server
# cp ../../dubbo-server/* ./

dp.yaml

kind: Deployment
apiVersion: extensions/v1beta1
metadata:
name: dubbo-demo-service
namespace: test
labels:
name: dubbo-demo-service
spec:
replicas: 1
selector:
matchLabels:
name: dubbo-demo-service
template:
metadata:
labels:
app: dubbo-demo-service
name: dubbo-demo-service
spec:
containers:
- name: dubbo-demo-service
image: harbor.od.com/app/dubbo-demo-service:apollo_191211_1916
ports:
- containerPort: 20880
protocol: TCP
env:
- name: C_OPTS
value: -Denv=fat -Dapollo.meta=http://config-test.od.com
- name: JAR_BALL
value: dubbo-server.jar
imagePullPolicy: IfNotPresent
imagePullSecrets:
- name: harbor
restartPolicy: Always
terminationGracePeriodSeconds: 30
securityContext:
runAsUser: 0
schedulerName: default-scheduler
strategy:
type: RollingUpdate
rollingUpdate:
maxUnavailable: 1
maxSurge: 1
revisionHistoryLimit: 7
progressDeadlineSeconds: 600

应用资源配置清单:

# kubectl apply -f http://k8s-yaml.od.com/test/dubbo-demo-server/dp.yaml

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_spring_15

接下来交付dubbo-demo-consumer

# cd /data/k8s-yaml/test/dubbo-demo-consumer
# cp ../../dubbo-consumer/* ./

dp.yaml

kind: Deployment
apiVersion: extensions/v1beta1
metadata:
name: dubbo-demo-consumer
namespace: test
labels:
name: dubbo-demo-consumer
spec:
replicas: 1
selector:
matchLabels:
name: dubbo-demo-consumer
template:
metadata:
labels:
app: dubbo-demo-consumer
name: dubbo-demo-consumer
spec:
containers:
- name: dubbo-demo-consumer
image: harbor.od.com/app/dubbo-demo-web:apollo_191212_1715
ports:
- containerPort: 8080
protocol: TCP
- containerPort: 20880
protocol: TCP
env:
- name: C_OPTS
value: -Denv=fat -Dapollo.meta=http://config-test.od.com
- name: JAR_BALL
value: dubbo-client.jar
imagePullPolicy: IfNotPresent
imagePullSecrets:
- name: harbor
restartPolicy: Always
terminationGracePeriodSeconds: 30
securityContext:
runAsUser: 0
schedulerName: default-scheduler
strategy:
type: RollingUpdate
rollingUpdate:
maxUnavailable: 1
maxSurge: 1
revisionHistoryLimit: 7
progressDeadlineSeconds: 600

svc.yaml

kind: Service
apiVersion: v1
metadata:
name: dubbo-demo-consumer
namespace: test

ingress.yaml

kind: Ingress
apiVersion: extensions/v1beta1
metadata:
name: dubbo-demo-consumer
namespace: test

这里会用到两个新的域名,添加解析:

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_mysql_16


应用test环境的dubbo-consumer资源配置清单:

# kubectl apply -f http://k8s-yaml.od.com/test/dubbo-demo-consumer/dp.yaml
# kubectl apply -f http://k8s-yaml.od.com/test/dubbo-demo-consumer/svc.yaml
# kubectl apply -f http://k8s-yaml.od.com/test/dubbo-demo-consumer/ingress.yaml

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_docker_17

接下来交付prod环境的dubbo-demo-server和dubbo-demo-consumer服务

同样套路,复制资源配置清单,然后修改成prod环境:

cd /data/k8s-yaml/prod/dubbo-demo-server
cp ../../dubbo-server/* ./

dp.yaml

kind: Deployment
apiVersion: extensions/v1beta1
metadata:
name: dubbo-demo-service
namespace: prod
labels:
name: dubbo-demo-service
spec:
replicas: 1
selector:
matchLabels:
name: dubbo-demo-service
template:
metadata:
labels:
app: dubbo-demo-service
name: dubbo-demo-service
spec:
containers:
- name: dubbo-demo-service
image: harbor.od.com/app/dubbo-demo-service:apollo_191211_1916
ports:
- containerPort: 20880
protocol: TCP
env:
- name: C_OPTS
value: -Denv=pro -Dapollo.meta=http://config-prod.od.com
- name: JAR_BALL
value: dubbo-server.jar
imagePullPolicy: IfNotPresent
imagePullSecrets:
- name: harbor
restartPolicy: Always
terminationGracePeriodSeconds: 30
securityContext:
runAsUser: 0
schedulerName: default-scheduler
strategy:
type: RollingUpdate
rollingUpdate:
maxUnavailable: 1
maxSurge: 1
revisionHistoryLimit: 7
progressDeadlineSeconds: 600

应用资源配置清单:

# kubectl apply -f http://k8s-yaml.od.com/prod/dubbo-demo-server/dp.yaml

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_docker_18

接下来做dubbo-demo-consumer的资源配置清单

cd /data/k8s-yaml/prod/dubbo-demo-consumer
cp ../../dubbo-consumer/* ./

dp.yaml

http://apollo-configservice:8080 这里可以直接使用svc资源名称调用,不用走ingress,因为svc资源只在当前namespace中生效。

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_mysql_19

kind: Deployment
apiVersion: extensions/v1beta1
metadata:
name: dubbo-demo-consumer
namespace: prod
labels:
name: dubbo-demo-consumer
spec:
replicas: 1
selector:
matchLabels:
name: dubbo-demo-consumer
template:
metadata:
labels:
app: dubbo-demo-consumer
name: dubbo-demo-consumer
spec:
containers:
- name: dubbo-demo-consumer
image: harbor.od.com/app/dubbo-demo-web:apollo_191212_1715
ports:
- containerPort: 8080
protocol: TCP
- containerPort: 20880
protocol: TCP
env:
- name: C_OPTS
value: -Denv=pro -Dapollo.meta=http://apollo-configservice:8080
- name: JAR_BALL
value: dubbo-client.jar
imagePullPolicy: IfNotPresent
imagePullSecrets:
- name: harbor
restartPolicy: Always
terminationGracePeriodSeconds: 30
securityContext:
runAsUser: 0
schedulerName: default-scheduler
strategy:
type: RollingUpdate
rollingUpdate:
maxUnavailable: 1
maxSurge: 1
revisionHistoryLimit: 7
progressDeadlineSeconds: 600

svc.yaml

kind: Service
apiVersion: v1
metadata:
name: dubbo-demo-consumer
namespace: prod
spec:
ports:
- protocol: TCP
port: 8080
targetPort: 8080
selector:
app: dubbo-demo-consumer

ingress.yaml

kind: Service
apiVersion: v1
metadata:
name: dubbo-demo-consumer
namespace: prod
spec:
ports:
- protocol: TCP
port: 8080
targetPort: 8080
selector:
app: dubbo-demo-consumer
[root@hdss7-200 dubbo-demo-consumer]# cat ingress.yaml

应用资源配置清单:

# kubectl apply -f http://k8s-yaml.od.com/prod/dubbo-demo-consumer/dp.yaml
# kubectl apply -f http://k8s-yaml.od.com/prod/dubbo-demo-consumer/svc.yaml
# kubectl apply -f http://k8s-yaml.od.com/prod/dubbo-demo-consumer/ingress.yaml

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_docker_20


访问两个环境的不同url:

​​ http://demo-test.od.com​​

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_docker_21

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_spring_22

模拟发版

使用jenkins构建新的镜像:

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_docker_23


构建成功,然后我们在测试环境发布此版本镜像:

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_spring_24


修改测试环境的dp.yaml

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_spring_25

应用修改后的资源配置清单:

kubectl apply -f http://k8s-yaml.od.com/test/dubbo-demo-consumer/dp.yaml

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_mysql_26


已经成功将新代码上线到test环境,接下来上线到prod环境,

同样修改prod环境的dp.yaml,并且应用该资源配置清单:

【K8S运维知识汇总】第6天8:实战使用apollo分环境管理dubbo服务_mysql_27


已经上线到生产环境,这样一套完整的分环境使用apollo配置中心发布流程已经可以使用了,并且真正做到了一次构建,多平台使用


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