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Dapr + .NET Core实战(十-终篇)K8S运行Dapr


工作原理

Dapr + .NET Core实战(十-终篇)K8S运行Dapr

为了实现在k8s上安装Dapr,Dapr需要部署dapr-sidecar-injectordapr-operatordapr-placementdapr-sentry服务。 

  • dapr-operator: 管理组件(state stores, pub/subs, etc.)
  • dapr-sidecar-injector: 将 Dapr 注入 annotated pods,并添加环境变量 DAPR_HTTP_PORT 和 DAPR_GRPC_PORT,以使用户定义的应用程序能够轻松地与 Dapr Sidecar通信,而无需硬编码 Dapr 端口值。
  • dapr-placement: 将 actor 实例映射到 pods。
  • dapr-sentry: 管理服务之间的mTLS并作为证书颁发机构。 

2.安装K8s集群

通常使用以下方法本地安装的K8S集群

我本地已经安装好了这两种,这次使用kubeadm 1.20版本演示dapr

Dapr + .NET Core实战(十-终篇)K8S运行Dapr

 3.将Frontend和Backend build成docker Image

vs中分别右击Frontend和Backend,添加Docker支持,即可生成对应的Dockerfile,修改暴露端口

#See https://aka.ms/containerfastmode to understand how Visual Studio uses this Dockerfile to build your images for faster debugging.  FROM mcr.microsoft.com/dotnet/aspnet:5.0 AS base WORKDIR /app EXPOSE 5001  FROM mcr.microsoft.com/dotnet/sdk:5.0 AS build WORKDIR /src COPY ["FrontEnd/FrontEnd.csproj", "FrontEnd/"] RUN dotnet restore "FrontEnd/FrontEnd.csproj" COPY . . WORKDIR "/src/FrontEnd" RUN dotnet build "FrontEnd.csproj" -c Release -o /app/build  FROM build AS publish RUN dotnet publish "FrontEnd.csproj" -c Release -o /app/publish  FROM base AS final WORKDIR /app COPY --from=publish /app/publish . ENTRYPOINT ["dotnet", "FrontEnd.dll"]

#See https://aka.ms/containerfastmode to understand how Visual Studio uses this Dockerfile to build your images for faster debugging.  FROM mcr.microsoft.com/dotnet/aspnet:5.0 AS base WORKDIR /app EXPOSE 5000  FROM mcr.microsoft.com/dotnet/sdk:5.0 AS build WORKDIR /src COPY ["BackEnd/BackEnd.csproj", "BackEnd/"] RUN dotnet restore "BackEnd/BackEnd.csproj" COPY . . WORKDIR "/src/BackEnd" RUN dotnet build "BackEnd.csproj" -c Release -o /app/build  FROM build AS publish RUN dotnet publish "BackEnd.csproj" -c Release -o /app/publish  FROM base AS final WORKDIR /app COPY --from=publish /app/publish . ENTRYPOINT ["dotnet", "BackEnd.dll"]

通过以下命令Build Image

docker build -t frontend -f  ./FrontEnd/Dockerfile .  docker build -t backend -f  ./BackEnd/Dockerfile .

4.将Docker Image推送到仓库

我使用阿里云私有仓库来上传镜像,创建frontend和backend两个库

Dapr + .NET Core实战(十-终篇)K8S运行Dapr

 按照以下提示步骤将frontend和backend Image上传到指定库

Dapr + .NET Core实战(十-终篇)K8S运行Dapr

 5.让k8s使用私有仓库拉取镜像

k8s主节点登录阿里云私库 

docker login --username=xxx registry.cn-beijing.aliyuncs.com

docker登录之后,会把密钥存到一个配置文件,通过下面命令拿到base64编码信息

cat ~/.docker/config.json | base64

新建ali-docker-repo.yaml,.dockerconfigjson就是上一步得到的base64

[root@k8s-master dapr-demo]# cat ali-docker-repo.yaml apiVersion: v1 kind: Secret metadata:  name: ali-key type: kubernetes.io/dockerconfigjson data:  .dockerconfigjson: ewoJImF1dGhzIjogewoJCSJyZWdpc3RyeS5jbi1iZWlqaW5nLmFsaXl1bmNzLmNvbSI6IHs..............

apply secret

[root@k8s-master dapr-demo]# kubectl apply -f ali-docker-repo.yaml

6.安装Dapr CLI

下面命令将DaprCLI安装到 /usr/local/bin

wget -q https://raw.githubusercontent.com/dapr/cli/master/install/install.sh -O - | /bin/bash

7.验证Dapr CLI

dapr

 8.初始化Dapr

首先,请确保你的机器已经安装了 Helm 3 。

然后,添加 Helm 库并更新

helm repo add dapr https://dapr.github.io/helm-charts/ helm repo update # See which chart versions are available helm search repo dapr --devel --versions

将 Dapr 图表安装在你的集群的 dapr-system命名空间中。

helm upgrade --install dapr dapr/dapr  --version=1.2  --namespace dapr-system  --create-namespace  --wait

验证安装

[root@k8s-master dapr-demo]# kubectl get pods --namespace dapr-system NAME                                     READY   STATUS    RESTARTS   AGE dapr-dashboard-58b4647996-828n8          1/1     Running   2          9d dapr-operator-85bdd7d89d-5d8dw           1/1     Running   19         9d dapr-placement-server-0                  1/1     Running   3          9d dapr-sentry-76bfc5f7c7-vn2qt             1/1     Running   2          9d dapr-sidecar-injector-786645f444-dmzm7   1/1     Running   2          9d

 9.配置状态存储和订阅发布组件

我们仍然通过helm安装redis,因为redis是statefulset,因此需要先把redis依赖的storageclasspv创建好

新建redis-storage-class.yaml

[root@k8s-master dapr-demo]# cat redis-storage-class.yaml kind: StorageClass apiVersion: storage.k8s.io/v1 metadata:   name: local-storage-redis provisioner: kubernetes.io/no-provisioner volumeBindingMode: WaitForFirstConsumer

apply storageclass

[root@k8s-master dapr-demo]# kubectl apply -f redis-storage-class.yaml

由于我们即将安装的redis,使用默认的storageclass,我们需要把我们刚刚新建的storageclass置为默认

kubectl patch storageclass local-storage-redis -p '{"metadata": {"annotations":{"storageclass.kubernetes.io/is-default-class":"true"}}}'

因为我们即将安装的redis集群有四个节点,我们需新建四个pv,新建文件redis-pv.yaml

apiVersion: v1 kind: PersistentVolume metadata:   name: local-pv-redis spec:   capacity:     storage: 8Gi   # volumeMode field requires BlockVolume Alpha feature gate to be enabled.   volumeMode: Filesystem   accessModes:   - ReadWriteOnce   storageClassName: local-storage-redis   persistentVolumeReclaimPolicy: Retain   local:     path: /local-storage/redis   nodeAffinity:     required:       nodeSelectorTerms:       - matchExpressions:         - key: kubernetes.io/hostname           operator: In           values:           - k8s-node1  --- apiVersion: v1 kind: PersistentVolume metadata:   name: local-pv-redis2 spec:   capacity:     storage: 8Gi   # volumeMode field requires BlockVolume Alpha feature gate to be enabled.   volumeMode: Filesystem   accessModes:   - ReadWriteOnce   storageClassName: local-storage-redis   persistentVolumeReclaimPolicy: Retain   local:     path: /local-storage/redis   nodeAffinity:     required:       nodeSelectorTerms:       - matchExpressions:         - key: kubernetes.io/hostname           operator: In           values:           - k8s-node1  --- apiVersion: v1 kind: PersistentVolume metadata:   name: local-pv-redis3 spec:   capacity:     storage: 8Gi   # volumeMode field requires BlockVolume Alpha feature gate to be enabled.   volumeMode: Filesystem   accessModes:   - ReadWriteOnce   storageClassName: local-storage-redis   persistentVolumeReclaimPolicy: Retain   local:     path: /local-storage/redis   nodeAffinity:     required:       nodeSelectorTerms:       - matchExpressions:         - key: kubernetes.io/hostname           operator: In           values:           - k8s-node1   --- apiVersion: v1 kind: PersistentVolume metadata:   name: local-pv-redis4 spec:   capacity:     storage: 8Gi   # volumeMode field requires BlockVolume Alpha feature gate to be enabled.   volumeMode: Filesystem   accessModes:   - ReadWriteOnce   storageClassName: local-storage-redis   persistentVolumeReclaimPolicy: Retain   local:     path: /local-storage/redis   nodeAffinity:     required:       nodeSelectorTerms:       - matchExpressions:         - key: kubernetes.io/hostname           operator: In           values:           - k8s-node1

因为我们指定了四个pv调度在k8s-node1上,所以需要去node1上新建挂载目录/local-storage/redis

mkdir /local-storage cd /local-storage mkdir /redis

apply pv

kubectl apply -f redis-pv.yaml

安装redis到集群

helm repo add bitnami https://charts.bitnami.com/bitnami helm repo update helm install redis bitnami/redis

查看redis pod

[root@k8s-master dapr-demo]# kubectl get pod redis-master-0              1/1     Running   0          141m redis-replicas-0            1/1     Running   0          141m redis-replicas-1            1/1     Running   0          141m redis-replicas-2            1/1     Running   0          140m

创建storestate组件,新建redis-state.yaml

[root@k8s-master dapr-demo]# cat redis-state.yaml apiVersion: dapr.io/v1alpha1 kind: Component metadata:   name: statestore   namespace: default spec:   type: state.redis   version: v1   metadata:   - name: redisHost     value: redis-master.default.svc.cluster.local:6379   - name: redisPassword     secretKeyRef:       name: redis       key: redis-password   - name: actorStateStore     value: "true"

新建pubsub组件

[root@k8s-master dapr-demo]# cat redis-pubsub.yaml apiVersion: dapr.io/v1alpha1 kind: Component metadata:   name: pubsub   namespace: default spec:   type: pubsub.redis   version: v1   metadata:   - name: redisHost     value: redis-master.default.svc.cluster.local:6379   - name: redisPassword     secretKeyRef:       name: redis       key: redis-password

apply statestore和pubsub

kubectl apply -f redis-state.yaml kubectl apply -f redis-pubsub.yaml

验证

[root@k8s-master dapr-demo]# kubectl get component.dapr.io NAME         AGE pubsub       135m statestore   135m

10.分别为frontend和backend新建deployment

在 Kubernetes 集群中部署和运行启用 Dapr 的应用程序非常简单,只需向 deployment 方案添加一些annotations

[root@k8s-master dapr-demo]# cat frontend.yaml apiVersion: apps/v1 kind: Deployment metadata:   name: frontend   labels:     app: frontend spec:   replicas: 1   selector:     matchLabels:       app: frontend   template:     metadata:       labels:         app: frontend       annotations:         dapr.io/enabled: "true"         dapr.io/app-id: "frontend"         dapr.io/app-port: "5001"     spec:       imagePullSecrets:       - name: ali-key       containers:       - name: frontend         image: registry.cn-beijing.aliyuncs.com/chester-dapr/frontend:latest         ports:         - containerPort: 5001         imagePullPolicy: Always

[root@k8s-master dapr-demo]# cat backend.yaml apiVersion: apps/v1 kind: Deployment metadata:   name: backend   labels:     app: backend spec:   replicas: 1   selector:     matchLabels:       app: backend   template:     metadata:       labels:         app: backend       annotations:         dapr.io/enabled: "true"         dapr.io/app-id: "backend"         dapr.io/app-port: "5000"     spec:       imagePullSecrets:       - name: ali-key       containers:       - name: backend         image: registry.cn-beijing.aliyuncs.com/chester-dapr/backend:latest         ports:         - containerPort: 5000         imagePullPolicy: Always

分别apply backend和frontend 

[root@k8s-master dapr-demo]# kubectl apply -f frontend.yaml [root@k8s-master dapr-demo]# kubectl apply -f backend.yaml

查看pod

[root@k8s-master dapr-demo]# kubectl get pod NAME                        READY   STATUS    RESTARTS   AGE backend-7fff74f544-f6xms    2/2     Running   0          134m frontend-5c479c9948-tmz5k   2/2     Running   0          99m redis-master-0              1/1     Running   0          147m redis-replicas-0            1/1     Running   0          147m redis-replicas-1            1/1     Running   0          146m redis-replicas-2            1/1     Running   0          146m

11.验证

为frontend创建service

[root@k8s-master dapr-demo]# cat frontend-service.yaml apiVersion: v1 kind: Service metadata:   name: frontend-svc spec:   type: NodePort   selector:     app: frontend   ports:     - port: 5001       targetPort: 5001       nodePort: 31111

采用nodeport方式暴露31111端口,apply service

kubectl apply -f frontend-service.yaml

访问http://192.168.43.150:31111/Dapr,其中192.168.43.150是宿主机ip,结果显示访问成功,k8s部署dapr成功

Dapr + .NET Core实战(十-终篇)K8S运行Dapr

 

 

最后:整个教程的源码

https://github.com/cysnet/dapr-aspnetcore-demo

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