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。

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