Deploy Custom Image in to Azure Kubernetes from Azure Container Registry using docker and Azure CLI

Organizations often need to deploy custom web applications packaged as Docker containers to scalable, secure, and highly available environments.

1. Problem Statement :

Organizations often need to deploy custom web applications packaged as Docker containers to scalable, secure, and highly available environments. However, challenges arise when developers must:

• Build and package applications into Docker images.

• Store and manage these container images securely.

• Deploy these images into a Kubernetes cluster in the cloud.

• Ensure authentication and seamless communication between Azure Kubernetes Service (AKS) and Azure Container Registry (ACR).

This use case addresses the end-to-end automation of deploying a custom Nginx-based Docker image into Azure Kubernetes using Azure CLI. It simplifies how developers can build images locally, push them to ACR, and deploy them in AKS with proper access and namespace management—all from a single Ubuntu VM.

The core problem solved here is integrating Docker image creation, secure storage in Azure Container Registry, and seamless deployment into Azure Kubernetes Service using CLI-based automation, without needing any external tools or pipelines.

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2. Why We Need This Use Case

In today’s cloud-native environments, the ability to create, store, and deploy containerized applications efficiently is vital for modern DevOps workflows. Organizations require a streamlined process to:

• Build custom container images, tailored to their specific web applications.

• Securely store these images in a centralized and scalable registry.

• Deploy these images into a managed Kubernetes environment for scalability, high availability, and automation.

This use case demonstrates the complete lifecycle of application deployment in a real-world Azure DevOps scenario. It helps DevOps engineers and cloud practitioners understand how to leverage Docker for image creation, Azure Container Registry (ACR) for storage, and Azure Kubernetes Service (AKS) for deployment using only CLI commands—essential for automation and scripting.

This end-to-end implementation mirrors what happens in production, where development teams package apps, push them to a secure registry, and deploy them to scalable infrastructure—all while maintaining security and CI/CD readiness.

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3. When We Need This Use Case

• When developers have a custom web application (like a modified NGINX server or app frontend) that needs to be containerized and made production-ready.

• When organizations want to automate Kubernetes deployments directly from a private registry like ACR.

• When transitioning from VM-based deployments to containerized and orchestrated environments for scalability and better resource management.

• When training DevOps engineers to master cross-service integrations in Azure, such as Docker, ACR, and AKS.

• In DevOps interviews and technical evaluations where hands-on implementation of build-and-deploy pipelines is tested.

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4. Challenge Questions