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Kubernetes With Dotnet Core & Angular

Documentations

Tools

  • Docker toolbox
  • Azure CLI
  • Helm CLI
  • kubectl

Step by step

Step 1: Build docker images and push them to Azure Container Registry(ACR)

  • Create Container Registry (contain images)

      az group create --name myResourceGroup --location eastus    
  az acr create --resource-group myResourceGroup --name {acrName} --sku Basic

  • Build images for .Net core

      docker-compose build

  • Build images for angular project

In the root directory of the project. we create two files as below:

Dockerfile file

FROM nginx:latest
COPY ./nginx-custom.conf /etc/nginx/conf.d/default.conf
COPY ./dist/ /usr/share/nginx/html

and nginx-custom.conf file

server {
  listen 80;
  location / {
    root /usr/share/nginx/html;
    index index.html index.htm;
    try_files $uri $uri/ /index.html =404;
  }
}

  • To check images created successfuly or not, we use command

      docker images

  • Push images to ACR

      az login --tenant {tenantId}
  az acr login --name {ACRname}                
  docker push {ACRname}.azurecr.io/{imagename}

    Ex:

    docker push osdcr.azurecr.io/candidateservice:v5
or docker push osdcr.azurecr.io/candidateservice (default is use latest version)

Step 2: Create Kubernetes Cluster

az aks create --resource-group {myResourceGroup} --name {myAKSCluster} --node-count 1 --generate-ssh-keys

  • Connect with Kubectl

      az aks install-cli
  az aks get-credentials --resource-group myResourceGroup --name myAKSCluster
  kubectl get nodes

  • Configure ACR authentication

      CLIENT_ID=$(az aks show --resource-group myResourceGroup --name myAKSCluster --query "servicePrincipalProfile.clientId" --output tsv)
  
  ACR_ID=$(az acr show --name <acrName> --resource-group myResourceGroup --query "id" --output tsv)
  
  az role assignment create --assignee $CLIENT_ID --role Reader --scope $ACR_ID

Step 3: Deploy application to Kubernetes

  • Using command line

    kubectl run settingservice --image=osdcr.azurecr.io/settingservice:v4 --port=80

  • Using yaml file Create a yaml file with name "candidateDeploy.yaml" as below

    ---
kind: Deployment
apiVersion: extensions/v1beta1
metadata:
  name: candidate
  labels:
    run: candidate
  annotations:
    deployment.kubernetes.io/revision: '1'
spec:
  replicas: 1
  selector:
    matchLabels:
      run: candidate
  template:
    metadata:
      creationTimestamp: 
      labels:
        run: candidate
    spec:
      containers:
      - name: candidate
        image: osdcr.azurecr.io/candidateservice:v5
        ports:
        - containerPort: 80
          protocol: TCP
        imagePullPolicy: IfNotPresent
      restartPolicy: Always

Execute the below command to apply the yaml file

kubectl apply -f candidateDeploy.yaml

Using below command to check it worked or not

kubectl get pods

To expose the application to public internet, we use command:

kubectl expose deployment settingservice --type=LoadBalancer

Using --type=NodePort for Local

Deploy sample .Net core solution to Local Kubernetes or AKS