Skip to content

Latest commit

 

History

History
152 lines (122 loc) · 4.16 KB

README.md

File metadata and controls

152 lines (122 loc) · 4.16 KB
Raw

Working-with-ACR

Create new repositary in your GitHub account

  • Login to GitHub and navigate to repositaries to create a new one
  • Clone the repo to a local directory and open in VS Code

Create a new web api using VS code in the cloned directory

dotnet new webapi --no-https

Add a Dockerfile

Ctrl+Shift+P for Windows
CMD+Shift+P for Windows
  • Search for docker file to add dockerfile to the workspace
  • Push the code to your GitHub repo using the Git extention of VS Code

Tag and push image locally

docker login bcglabacr01.azurecr.io
Username: bcglabacr01
Password: vQign8/X5HO3XhfXFWFW05CtHqpYV+dM
docker images
docker tag <source image> bcglabacr01.azurecr.io/<target image>:<tag>
docker push bcglabacr01.azurecr.io/<target image>:<tag>

Navigate to GitGub and add an action

  • Click on Actions
  • Create new action using the Docker template -> click on configure
  • Use the below yaml to create the CI defination for building and pushing the docker image to Azure container registry:
name: Docker Image CI

on:
  push:
    branches: [ main ]
  pull_request:
    branches: [ main ]

jobs:

  build_push_image:

    runs-on: ubuntu-latest
    
    steps:
    - uses: actions/checkout@v2
    - name: Build the Docker image
      run: docker build . --file Dockerfile --tag bcglabacr01.azurecr.io/workingwithacr:latest
     
    - name: Azure Container Registry Login
      uses: Azure/docker-login@v1
      with:
        # Container registry username
        username: bcglabacr01
        # Container registry password
        password: vQign8/X5HO3XhfXFWFW05CtHqpYV+dM 
        # Container registry server url
        login-server: bcglabacr01.azurecr.io
        
    - name: Push Image  
      run: docker push bcglabacr01.azurecr.io/workingwithacr:latest

** Commit into the readme file of your repo to trigger the action automatically

Azure Login

Az login 
Az account set -s <id>
Az account show

Login to AKS cluster

az account set --subscription b214611b-9a79-4e7e-afb0-3d9785737f10
az aks get-credentials --resource-group VMware-RG --name vmwareaks01

Only when you DO NOT have a local image to work with:

  • Sample .NET Core Web App image:
docker run -it --rm -p 8000:80 --name aspnetcore_sample mcr.microsoft.com/dotnet/samples:aspnetapp

Retag and push to ACR:

docker login bcglabacr01.azurecr.io
Username: bcglabacr01
Password: vQign8/X5HO3XhfXFWFW05CtHqpYV+dM
docker images
docker tag <source image> bcglabacr01.azurecr.io/<target image>:<tag>
docker push bcglabacr01.azurecr.io/<target image>:<tag>

K8s Management Techniques

Imperative Deployment

  • Deploy the app:
kubectl create deployment <your-name>01 --image=bcglabacr01.azurecr.io/<your-image-name>:v1 --replicas=2

kubectl get deployments

kubectl describe deployment <your-deployment-name>

kubectl expose deployment < your-deployment-name> --type=LoadBalancer --port=80 --target-port=80 #map service port 80 to container port 80

kubectl scale deployment < your-deployment-name> --replicas=3

AKS Pods and Deployments using declarative method

  • Add deployment.yaml -- Generate the YAML file using K8s extention
  • Add service.yaml -- Generate the YAML file using K8s extention
  • Apply the above desired state:
kubectl apply -f deployment.yaml
kubectl apply -f service.yaml

Add support for deploying into AKS

  • Copy the contents of the Kubeconfig and create a repositary secret in GitHub - KUBECONFIG:
az aks get-credentials --resource-group VMware-RG --name vmwareaks01 -f kubeconfig-ss
  • Add new stage to docker-image.yml:
deploy:
    runs-on: ubuntu-latest
    needs: build_push_image # Will wait for the execution of the previous job 

    steps:
    - uses: actions/checkout@v2

    - name: Kubernetes set context
      uses: Azure/k8s-set-context@v1
      with:
        kubeconfig: ${{secrets.KUBECONFIG}} # Grab the auth token from GitHub secrets
      id: login

    #Declarative Deployment-02
    - name: Kubernetes Deployment
      run: kubectl apply -f deployment.yaml
    - name: Service Deployment
      run: kubectl apply -f service.yaml