Docker on Azure: Setup, Deployment, and Management

Setting Sail on the Azure Seas: Dockerized Applications from Build to Deployment (with Code Examples)

In the vast ocean of cloud computing, Azure emerges as a powerful platform for deploying containerized applications built with Docker. This guide serves as your compass, navigating the entire process – from setting up your environment to deployment and management – all illustrated with code examples.


Part 1: Building Your Docker Image

  1. Dockerfile Creation: Craft a Dockerfile that outlines the instructions for building your containerized application. This file specifies the base image, installation steps for dependencies, application code copying, and final configuration tweaks.

Code Snippet (Sample Dockerfile):

FROM python:3.9


COPY requirements.txt ./

RUN pip install -r requirements.txt

COPY . .

CMD ["python", ""]

This sample Dockerfile:

  • Uses the python:3.9 base image.
  • Sets the working directory within the container.
  • Installs dependencies using pip.
  • Copies the application code and defines the default command to run your Python application.
  1. Building the Image: Navigate to the directory containing your Dockerfile and use the following command to build your image:
docker build -t my-app-image:latest .

This command instructs Docker to build an image named my-app-image (tagged as :latest) based on the instructions in the Dockerfile located in the current directory (.).

Part 2: Choosing Your Azure Deployment Destination

Azure offers various options for deploying your Dockerized applications. Here are the two most common scenarios:

Option 1: Azure Container Instances (ACI)

  • Ideal for: Short-lived tasks, batch jobs, or microservices that don’t require complex orchestration.

Deployment using Azure CLI:

# Login to Azure (replace with your credentials)
az login

# Set subscription (if you have multiple)
az account set --subscription <your-subscription-id>

# Create a resource group (optional, customize the name)
az group create --name myResourceGroup --location westus

# Run a container instance (replace with your image location and configuration)
az container create --resource-group myResourceGroup --name myACI --image --cpu 1 --memory 1Gi

Option 2: Azure Kubernetes Service (AKS)

  • Ideal for: Complex, stateful applications requiring orchestration, scaling, and high availability.

Note: Creating and deploying to AKS is a multi-step process beyond the scope of this guide. Refer to Microsoft documentation for detailed instructions on AKS deployments:

Part 3: Image Storage and Management (Azure Container Registry – ACR)

  • ACR Benefits: ACR provides a secure and managed registry within Azure to store and manage your private Docker images.

Code Snippet (ACR Integration – Not a complete example):

Note: The following snippet showcases logging in to ACR and pushing an image. Refer to Microsoft documentation for detailed instructions on creating an ACR instance:

# Login to ACR (replace with your details)
docker login <acr-name> -u <your-username> -p <your-password>

# Tag the image for ACR (replace with your ACR name and image name)
docker tag my-app-image:latest <acr-name>

# Push the image to ACR
docker push <acr-name>

Part 4: Management and Monitoring

  • Azure Monitor: Utilize Azure Monitor to track the health and performance of your deployed containers, regardless of the chosen deployment option (ACI or AKS).
  • Container Logs: Access container logs for troubleshooting and debugging purposes.


  • The specific deployment approach depends on your application requirements and complexity.
  • Secure your containerized applications by implementing best practices like vulnerability scanning and using