Uso do Azure Kubernetes Services para microsserviços Java com Spring Boot

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git clone https://github.com/mongodb-developer/simple-movie-microservice.git

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az aks install-cli

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az login

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az group create --name myResourceGroup --location northeurope

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az aks create --resource-group myResourceGroup --name myAKSCluster --node-count 2 --enable-addons monitoring --generate-ssh-keys

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az aks get-credentials --resource-group myResourceGroup --name myAKSCluster

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az acr create --resource-group <your-resource-group> --name <your-container-registry> --sku Basic

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az acr login --name <your-container-registry>

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docker build -t movie-catalogue-service .

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for i in movie-catalogue reviews user-management; do cd $i; ./mvnw clean package; docker build -t $i-service .; cd -; done

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docker buildx install

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docker buildx create --use

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docker buildx build --platform linux/amd64 -t movie-catalogue-service:latest --output type=docker .

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docker tag movie-catalogue-service <your-acr-name>.azurecr.io/movie-catalogue-service:latest
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docker push <your-acr-name>.azurecr.io/movie-catalogue-service:latest

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ACR_NAME="<your-acr-name>.azurecr.io"
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for i in movie-catalogue reviews user-management; do 
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    # Tag the Docker image for Azure Container Registry
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    docker tag $i-service $ACR_NAME/$i-service:latest
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    # Push the Docker image to Azure Container Registry
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    docker push $ACR_NAME/$i-service:latest
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done

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echo -n 'your-mongodb-uri' | base64
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echo -n 'your-database-name' | base64

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apiVersion: v1
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kind: Secret
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metadata:
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  name: mongodb-secret
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type: Opaque
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data:
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  MONGODB_URI: <Base64 encoded MongoDB URI>
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  MONGODB_DATABASE: <Base64 encoded MongoDB database name>

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kubectl apply -f mongodb-secret.yaml

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az ad sp create-for-rbac --name <your-service-principal-name> --role acrPull --scopes /subscriptions/<your-subscription-id>/resourceGroups/<your-resource-group-name>/providers/Microsoft.ContainerRegistry/registries/<your-acr-name>

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{   
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	"appId": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",   
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	"displayName": "<your-service-principal-name>",   
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	"password": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",   
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	"tenant": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx" 
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}

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kubectl create secret docker-registry acr-auth \
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  --namespace default \
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  --docker-server=<your-acr-name>.azurecr.io \
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  --docker-username=<your-service-principal-app-id> \
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  --docker-password=<your-service-principal-password> \
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  --docker-email=<your-email>

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---
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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  name: movie-catalogue-service-deployment
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spec:
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  replicas: 1
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  selector:
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    matchLabels:
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      app: movie-catalogue-service
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  template:
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    metadata:
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      labels:
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        app: movie-catalogue-service
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    spec:
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      containers:
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      - name: movie-catalogue-service
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        image: <your-container-registry>/movie-catalogue-service:latest
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        ports:
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        - containerPort: 8080
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        env:
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        - name: MONGODB_URI
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          valueFrom:
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            secretKeyRef:
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              name: mongodb-secret
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              key: MONGODB_URI
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        - name: MONGODB_DATABASE
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          valueFrom:
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            secretKeyRef:
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              name: mongodb-secret
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              key: MONGODB_DATABASE
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      imagePullSecrets:
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      - name: acr-auth
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---
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apiVersion: v1
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kind: Service
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metadata:
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  name: movie-catalogue-service
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spec:
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  selector:
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    app: movie-catalogue-service
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  ports:
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  - protocol: TCP
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    port: 80
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    targetPort: 8080
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  type: LoadBalancer
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---

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az aks update -n <your-AKS-Cluster> -g <your-resource-group> --attach-acr <your-ACR>

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kubectl apply -f all-microservices.yaml

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kubectl get services

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kubectl get pods

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curl -X POST http://<ReviewAPI-External-IP>/reviews \
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     -H "Content-Type: application/json" \
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     -d '{"movieId": "573a1391f29313caabcd68d0", "userId": "59b99db5cfa9a34dcd7885b8", "rating": 4}'

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curl -X GET http://<ReviewAPI-External-IP>/reviews