GitHub Actions gives you the flexibility to build an automated software development lifecycle workflow.
You can automate your workflows to deploy to Azure Container Instances using GitHub Actions.
Get started today with a free Azure account!
This repository contains GitHub Action for Deploying to Azure Container Instances to deploy to Azure Container Instances. It supports deploying your container image to an Azure Container Instance.
The definition of this GitHub Action is in action.yml.
- Azure Login Login with your Azure Credentials for Authentication. Once login is done, the next set of Azure Actions in the workflow can re-use the same session within the job.
For using any credentials like Azure Service Principal in your workflow, add them as secrets in the GitHub Repository and then refer them in the workflow.
- Download Azure CLI from here, run
az login
to login with your Azure Credentials. - Run Azure CLI command to create an Azure Service Principal for RBAC:
az ad sp create-for-rbac --name "myApp" --role contributor \
--scopes /subscriptions/{subscription-id}/resourceGroups/{resource-group} \
--sdk-auth
# Replace {subscription-id}, {resource-group} with the subscription, resource group details of the WebApp
# The command should output a JSON object similar to this:
{
"clientId": "<GUID>",
"clientSecret": "<GUID>",
"subscriptionId": "<GUID>",
"tenantId": "<GUID>",
(...)
}
- You can further scope down the Azure Credentials to the Web App using scope attribute. For example,
az ad sp create-for-rbac --name "myApp" --role contributor \
--scopes /subscriptions/{subscription-id}/resourceGroups/{resource-group}/providers/Microsoft.Web/sites/{app-name} \
--sdk-auth
# Replace {subscription-id}, {resource-group}, and {app-name} with the names of your subscription, resource group, and Azure Web App.
- Paste the json response from above Azure CLI to your GitHub Repository > Settings > Secrets > Add a new secret > AZURE_CREDENTIALS
- Now in the workflow file in your branch:
.github/workflows/workflow.yml
replace the secret in Azure login action with your secret (Refer to the example below)
on: [push]
name: Linux_Container_Workflow
jobs:
build-and-deploy:
runs-on: ubuntu-latest
steps:
# checkout the repo
- name: 'Checkout GitHub Action'
uses: actions/checkout@master
- name: 'Login via Azure CLI'
uses: azure/login@v1
with:
creds: ${{ secrets.AZURE_CREDENTIALS }}
- uses: azure/docker-login@v1
with:
login-server: contoso.azurecr.io
username: ${{ secrets.REGISTRY_USERNAME }}
password: ${{ secrets.REGISTRY_PASSWORD }}
- run: |
docker build .t contoso.azurecr.io/nodejssampleapp:${{ github.sha }}
docker push contoso.azurecr.io/nodejssampleapp:${{ github.sha }}
- name: 'Deploy to Azure Container Instances'
uses: 'azure/aci-deploy@v1'
with:
resource-group: contoso
dns-name-label: url-for-container
image: contoso.azurecr.io/nodejssampleapp:${{ github.sha }}
registry-username: ${{ secrets.REGISTRY_USERNAME }}
registry-password: ${{ secrets.REGISTRY_PASSWORD }}
name: contoso-container
location: 'west us'
- uses: Azure/aci-deploy@v1
with:
resource-group: contoso
dns-name-label: url-for-container
image: nginx
name: contoso-container
location: 'east us'
- uses: Azure/aci-deploy@v1
with:
resource-group: contoso
dns-name-label: url-for-container
image: nginx
name: contoso-container
azure-file-volume-share-name: shareName
azure-file-volume-account-name: accountName
azure-file-volume-account-key: ${{ secrets.AZURE_FILE_VOLUME_KEY }}
azure-file-volume-mount-path: /mnt/volume1
location: 'east us'
NOTE: Secure Environment Variables aren't masked by the Action so use them as Secrets if you want to hide them
- uses: Azure/aci-deploy@v1
with:
resource-group: contoso
dns-name-label: url-for-container
image: nginx
name: contoso-container
command-line: /bin/bash a.sh
environment-variables: key1=value1 key2=value2
secure-environment-variables: key1=${{ secrets.ENV_VAL1 }} key2=${{ secrets.ENV_VAL2 }}
location: 'east us'
This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA) declaring that you have the right to, and actually do, grant us the rights to use your contribution. For details, visit https://cla.opensource.microsoft.com.
When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.
This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.