kubernetes实战-配置中心（四）分环境使用apollo配置中心
要进行分环境，需要将现有实验环境进行拆分
portal服务，可以各个环境共用，但是apollo-adminservice和apollo-configservice必须要分开。
1、zk环境拆分为test和prod环境
添加dns解析：
# vi /var/named/od.com.zone
zk-test.od.com A 10.4.7.11
zk-prod.od.com A 10.4.7.12
2、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
3、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
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";
修改portal数据，支持fat和pro环境：
> update ServerConfig 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
# kubectl apply -f http://k8s-yaml.od.com/apollo-portal/cm.yaml
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/* ./
1、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
2、dp.yaml
kind: Deployment apiVersion: extensions/v1beta1 metadata: name: apollo-configservice namespace: test 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
3、svc.yaml
kind: Service apiVersion: v1 metadata: name: apollo-configservice namespace: test spec: ports: - protocol: TCP port: 8080 targetPort: 8080 selector: app: apollo-configservice
4、ingress.yaml
kind: Ingress apiVersion: extensions/v1beta1 metadata: name: apollo-configservice namespace: test spec: rules: - host: config-test.od.com http: paths: - path: / backend: serviceName: apollo-configservice servicePort: 8080
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/* ./
1、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
2、dp.yaml
kind: Deployment apiVersion: extensions/v1beta1 metadata: name: apollo-adminservice namespace: test 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/test/apollo-adminservice/cm.yaml # kubectl apply -f http://k8s-yaml.od.com/test/apollo-adminservice/dp.yaml
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：
1、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
2、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
3、svc.yaml
kind: Service apiVersion: v1 metadata: name: apollo-configservice namespace: prod spec: ports: - protocol: TCP port: 8080 targetPort: 8080 selector: app: apollo-configservice
4、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/* ./
1、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
2、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
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;
打开portal.od.com验证，并且创建两个项目：
首先创建dubbo-demo-service
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
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
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/* ./
1、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
接下来交付dubbo-demo-consumer:
# cd /data/k8s-yaml/test/dubbo-demo-consumer
# cp ../../dubbo-consumer/* ./
1、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
2、svc.yaml
kind: Service apiVersion: v1 metadata: name: dubbo-demo-consumer namespace: test spec: ports: - protocol: TCP port: 8080 targetPort: 8080 selector: app: dubbo-demo-consumer
3、ingress.yaml
kind: Ingress apiVersion: extensions/v1beta1 metadata: name: dubbo-demo-consumer namespace: test spec: rules: - host: demo-test.od.com http: paths: - path: / backend: serviceName: dubbo-demo-consumer servicePort: 8080
这里会用到两个新的域名，添加解析：
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
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/* ./
1、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
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/* ./
1、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。
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
2、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
3、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 kind: Ingress apiVersion: extensions/v1beta1 metadata: name: dubbo-demo-consumer namespace: prod spec: rules: - host: demo-prod.od.com http: paths: - path: / backend: serviceName: dubbo-demo-consumer servicePort: 8080
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
访问两个环境的不同url：
http://demo-test.od.com
http://demo-prod.od.com
模拟发版：
使用jenkins构建新的镜像：
构建成功，然后我们在测试环境发布此版本镜像：
修改测试环境的dp.yaml
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
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：
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。