[kubernetes] 交付dubbo之持续交付dubbo-monitor和dubbo-consumer（完结篇）

    做这个实验目标是往kubernetes集群里交付dubbo服务，采用jenkins+maven+gitee实现，jenkins使用的是v2.303.1，maven使用3.6.3+jre8u91。整个项目的拓扑图如下：

主机	作用
host11	zk节点、为整个集群提供dns、nginx为k8s集群提供proxy
host12	zk节点、nginx为k8s集群提供proxy
host21	k8s-node、zk节点、etcd节点
host22	k8s-node、etcd节点
host200	harbor仓库节点、httpd为集群提供资源配置清单文件，nfs为pod提供持久化存储

交付逻辑图：

​​01 交付dubbo-monitor​​

    dubbo-monitor主要是为dubbo使用的zk提供一个可视化的界面，可以看到有多少个消费者和提供者。

    1）创建dubbo-monitor目录（host200）

mkdir -p /data/dockerfile/dubbo-monitor
cd !$

    2）下载https://github.com/jeromefromcn/dubbo-monitor 项目代码到dubbo-monitor目录。

    3）修改配置文件 -- host200

vi dubbo-monitor-simple/conf/dubbo_origin.properties
dubbo.container=log4j,spring,registry,jetty
dubbo.application.name=dubbo-monitor # 任意写
dubbo.application.owner=od  # 任意写
dubbo.registry.address=zookeeper://zk1.od.com:2181?backup=zk2.od.com:2181,zk3.od.com:2181 #zk集群地址
#dubbo.registry.address=zookeeper://127.0.0.1:2181
#dubbo.registry.address=redis://127.0.0.1:6379
#dubbo.registry.address=dubbo://127.0.0.1:9090
dubbo.protocol.port=20880
dubbo.jetty.port=8080
dubbo.jetty.directory=/dubbo-monitor-simple/monitor
dubbo.charts.directory=/dubbo-monitor-simple/charts
dubbo.statistics.directory=/dubbo-monitor-simple/monitor/statistics
dubbo.log4j.file=logs/dubbo-monitor-simple.log
dubbo.log4j.level=WARN

    4）修改start.sh文件，将资源配置修改为128M，65行以后的全部删除。

vi /data/dockerfile/dubbo-monitor/dubbo-monitor-simple/bin/start.sh

​​​​

    5）创建Dockerfile文件

vi /data/dockerfile/dubbo-monitor/Dockerfile
FROM jeromefromcn/docker-alpine-java-bash
COPY dubbo-monitor-simple/ /dubbo-monitor-simple/
CMD /dubbo-monitor-simple/bin/start.sh

    6）生成镜像

docker bulid . -t harbor.od.com/infra/dubbo-monitor:latest

    7）创建配置清单 -- host200    

mkdir /data/k8s-yaml/dubbo-monitor
# dp
cat dp.yaml 
kind: Deployment
apiVersion: extensions/v1beta1
metadata:
  name: dubbo-monitor
  namespace: infra
  labels: 
    name: dubbo-monitor
spec:
  replicas: 1
  selector:
    matchLabels: 
      name: dubbo-monitor
  template:
    metadata:
      labels: 
        app: dubbo-monitor
        name: dubbo-monitor
    spec:
      containers:
      - name: dubbo-monitor
        image: harbor.od.com/infra/dubbo-monitor:latest
        ports:
        - containerPort: 8080
          protocol: TCP
        - containerPort: 20880
          protocol: TCP
        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
cat svc.yaml 
kind: Service
apiVersion: v1
metadata: 
  name: dubbo-monitor
  namespace: infra
spec:
  ports:
  - protocol: TCP
    port: 8080
    targetPort: 8080
  selector: 
    app: dubbo-monitor
# ingress
cat ingress.yaml 
kind: Ingress
apiVersion: extensions/v1beta1
metadata: 
  name: dubbo-monitor
  namespace: infra
spec:
  rules:
  - host: dubbo-monitor.od.com
    http:
      paths:
      - path: /
        backend: 
          serviceName: dubbo-monitor
          servicePort: 8080

    8）在node上应用

kubectl apply -f http://k8s-yaml.od.com/dubbo-monitor/dp.yaml
kubectl apply -f http://k8s-yaml.od.com/dubbo-monitor/svc.yaml
kubectl apply -f http://k8s-yaml.od.com/dubbo-monitor/ingress.yaml

    9）查看dubbo-monitor资源

[root@host21 ~]# kubectl get all -n infra| grep monitor
pod/dubbo-monitor-5bb45c8b97-pfq26   1/1     Running   3          13d
service/dubbo-monitor   ClusterIP   10.254.184.23    <none>        8080/TCP   14d
deployment.apps/dubbo-monitor   1/1     1            1           14d
replicaset.apps/dubbo-monitor-5bb45c8b97   1         1         1       14d

    10）修改named配置文件 -- host11

vi /var/named/od.com.zone
# 重启服务
systemctl restart named

    11）访问monitor，可以看到dubbo-demo-service已经存在providers

​​02 克隆一个dubbo-client项目 ​​

1）登录gitee.com，克隆一个dubbo-client项目，请参考之前的交付dubbo-server篇。

​​[kubernetes] 交付dubbo之jenkins持续交付dubbo-server​​

​​03 交付dubbo消费者​​

​    1）打开blue ocean​

    2）选择dubbo-demo

    3）点击运行

    4）配置参数

app_name:dubbo-demo-consumer
image_name:app/dubbo-demo-consumer
git_repo:[e-mail]:xxxx/dubbo-demo-web.git
git_version:master
add_tag:211004_1024
mvn_dir:./
target_dir:./dubbo-client/target/
mvn_cmd:默认
base_image：base/jre:8u112
maven:3.6.3-8u291

    5）run起来

    6）去harbor查看是否有镜像了

    7）创建消费者资源配置清单

mkdir -pv /data/k8s-yaml/dubbo-consume
# dp
dp.yaml 
kind: Deployment
apiVersion: extensions/v1beta1
metadata:
  name: dubbo-demo-consumer
  namespace: app
  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-consumer:master_211004_1024
        ports:
        - containerPort: 8080
          protocol: TCP
        - containerPort: 20880
          protocol: TCP
        env:
        - 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
cat svc.yaml 
kind: Service
apiVersion: v1
metadata: 
  name: dubbo-demo-consumer
  namespace: app
spec:
  ports:
  - protocol: TCP
    port: 8080
    targetPort: 8080
  selector: 
    app: dubbo-demo-consumer
# ingress
cat ingress.yaml 
kind: Ingress
apiVersion: extensions/v1beta1
metadata: 
  name: dubbo-demo-consumer
  namespace: app
spec:
  rules:
  - host: demo.od.com
    http:
      paths:
      - path: /
        backend: 
          serviceName: dubbo-demo-consumer
          servicePort: 8080

    8）在node节点应用

kubectl apply -f http://k8s-yaml.od.com/dubbo-consumer/dp.yaml
kubectl apply -f http://k8s-yaml.od.com/dubbo-consumer/svc.yaml
kubectl apply -f http://k8s-yaml.od.com/dubbo-consumer/ingree.yaml

    9）查看消费者资源情况

[root@host21 ~]# kubectl get all -n app | grep consumer
pod/dubbo-demo-consumer-676b9d45fc-8k7jp   1/1     Running   2          13d
service/dubbo-demo-consumer   ClusterIP   10.254.41.69   <none>        8080/TCP   14d
deployment.apps/dubbo-demo-consumer   1/1     1            1           14d
replicaset.apps/dubbo-demo-consumer-5b6bdd8f9c   0         0         0       14d
replicaset.apps/dubbo-demo-consumer-676b9d45fc   1         1         1       13d
replicaset.apps/dubbo-demo-consumer-86c9ff44b    0         0         0       14d
replicaset.apps/dubbo-demo-consumer-8d88d957d    0         0         0       14d

‍

    10）查看dubbo-monitor信息，可以看到已经有消费者了

    11）添加dns解析

vi /var/named/od.com.zone
demo    A     192.168.122.10
# 重启服务
systemctl restart named

    12）测试消费者

https://demo.od.com/hello?name=运维少年

    13）来看下整个流程

    在消费者代码中，掉用helloService.hello(name)方法，这个helloService模块，调用hello方法，但是这个hello方法在在本地没有有声明。他是Service提供者声明的。

    Service提供者声明的hello方法。所以结论：在就好像是调用本地方法一样

​​04 总结​​

​    使用这种模式进行交付，在业务高峰期可以直接扩容消费者，前端用户无感知。且在研发重新commit代码之后，可以使用commit id进行构建镜像，达到快速发布的效果。​