Deploy app to AKS with Azure private registry

Dockerfile

@@ -11,8 +11,13 @@ ADD . /app
 # Install dependencies
 RUN pip install -r requirements.txt
 
+# Resolve issue "ImportError: cannot import name 'soft_unicode' from 'markupsafe'"
+# https://github.com/aws/aws-sam-cli/issues/3661#issuecomment-1049916359
+RUN pip uninstall -y markupsafe
+RUN pip install markupsafe==2.0.1
+
 # Expose port 
 EXPOSE 5000
 
 # Run the application:
-CMD ["python", "app.py"]
+CMD ["python", "app.py"]

README.md

@@ -1 +1,70 @@
-# Deployment on Microsoft Azure using docker container 
+# Deployment on Microsoft Azure Kubernetes Service (AKS) using docker container 
+
+The following commands can be used in Azure Cloud Shell via the browser.  First you need to login to [Azure Portal](https://portal.azure.com/) then click on Cloud Shell using Bash.
+You can see steps by steps instruction [here](https://medium.com/@phylypo/deploy-a-pycaret-app-to-aks-using-azure-container-registry-fc9e56c378d0).
+
+```
+# setup variables to use
+RESOURCE_GROUP=PYCARET-KUBE-RG
+CLUSTER_NAME=PYCARET-AKS
+ACR_NAME=pycaretacr
+
+# create resource group, make sure the resource gropu name is new so we can cleanup at the end
+az group create --name $RESOURCE_GROUP --location westus2
+
+# create Aure Container Registry (ACR)
+az acr create --resource-group $RESOURCE_GROUP --name $ACR_NAME --sku Premium
+
+# clone the git repo and go into repo directory
+# git clone https://...
+cd pycaret-deployment-azure
+
+# build and put the docker image to Azure registry
+az acr build --registry $ACR_NAME --image pycaret-ins-5000:v1 .
+
+# create kubernetes cluster
+az aks create \
+    --resource-group $RESOURCE_GROUP \
+    --name $CLUSTER_NAME \
+    --node-count 2 \
+    --enable-addons http_application_routing \
+    --enable-managed-identity \
+    --generate-ssh-keys \
+    --node-vm-size Standard_B2s
+
+# add node pool
+az aks nodepool add \
+    --resource-group $RESOURCE_GROUP \
+    --cluster-name $CLUSTER_NAME \
+    --name mypool \
+    --node-count 2 \
+    --node-vm-size Standard_B2s 
+
+
+# Setup credential to the AKS cluster
+az aks get-credentials --name $CLUSTER_NAME --resource-group $RESOURCE_GROUP
+
+# Enable the access key using Azure portal on ACR
+# Copy the username and primary key for below command
+
+# Create Kubernetes secret with username and password for access to private registry
+# updat the <USER_NAME> and <YOUR_KEY> for the command below
+kubectl create secret docker-registry azure-reg-cred \
+    --docker-username=<USER_NAME> \
+    --docker-password=<YOUR_KEY> \
+    --docker-server=pycaretacr.azurecr.io
+
+# create deployment and service on AKS
+kubectl apply -f azure_deployment.yaml
+
+# check pod status for running status
+kubectl get pod
+# check for service ip
+kubectl get service
+
+# Your should be able to browse to the EXTERNAL-IP from above output and you should see the web interface
+
+# Cleanup -- when done, use the command below to delete the resource group 
+# this will also delete all the resources in this resource group so you don't incure any futher cost
+az group delete --name $RESOURCE_GROUP --yes --no-wait
+```

azure_deployment.yaml

@@ -0,0 +1,44 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: azure-insurance
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: azure-insurance
+  template:
+    metadata:
+      labels:
+        app: azure-insurance
+    spec:
+      nodeSelector:
+        "kubernetes.io/os": linux
+      containers:
+      - name: azure-insurance
+        image: pycaretacr.azurecr.io/pycaret-ins-5000:v1
+        imagePullPolicy: Always
+        resources:
+          requests:
+            cpu: 100m
+            memory: 512Mi
+          limits:
+            cpu: 1250m
+            memory: 512Mi
+        ports:
+        - containerPort: 80
+      imagePullSecrets:
+      - name: azure-reg-cred
+
+---
+apiVersion: v1
+kind: Service
+metadata:
+  name: azure-insurance
+spec:
+  type: LoadBalancer
+  ports:
+  - port: 80
+    targetPort: 5000
+  selector:
+    app: azure-insurance