Hands-On LabIntermediate

Containerize and Deploy a Multi-Container Application to Azure Container Apps

Build Docker images for a restaurant menu app, push to ACR, and deploy frontend and backend containers to Azure Container Apps.

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60 minEstimated time
5Guided steps
AutoVerification
IsolatedSandbox
Containerize and Deploy a Multi-Container Application to Azure Container Apps

Lab overview

Azure Container Apps is a fully managed serverless container platform that enables you to deploy and run containerized applications without managing complex infrastructure. It provides automatic scaling, built-in load balancing, and seamless integration with Azure Container Registry, making it ideal for organizations looking to modernize their application deployment workflows.

In this lab, you will containerize a two-tier restaurant menu management application and deploy it to Azure Container Apps. You'll learn how to write Dockerfiles for Node.js applications, build and push container images to Azure Container Registry, and configure container apps with ingress and environment variables for inter-service communication.

Objectives

Upon completion of this intermediate level lab, you will be able to:

  • Write Dockerfiles to containerize Node.js applications for production deployment
  • Build and push container images to Azure Container Registry using Azure CLI
  • Deploy containerized applications to Azure Container Apps with ingress configuration
  • Configure environment variables to enable communication between frontend and backend containers

Who is this lab for?

This lab is designed for:

  • Cloud Engineers looking to gain hands-on experience with container deployment on Azure
  • DevOps Engineers seeking to understand containerization workflows and Azure Container Apps
  • Software Developers wanting to learn how to containerize and deploy multi-tier applications
  • IT Professionals preparing for Azure certifications involving container technologies

Verified against your live environment

An automated validation engine inspects your actual resources and configurations as you work. Completion means the task was performed — not multiple choice, real-world proficiency.

[CHECK] validation_activelive
Inspecting deployed resources...
Verifying configuration state...
✓ Step requirements satisfied

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Related reading

Azure Compute Services Compared — VMs vs. App Service vs. Functions vs. Container AppsA practical comparison of Azure VMs, App Service, Functions, and Container Apps — what each does, what it costs, and when to use it.Azure AI Services Explained: A Beginner's Map to Vision, Speech, Language, and OpenAIA beginner's map to Azure AI Services. What Vision, Speech, Language, Content Safety, and Azure OpenAI each do, when to use them, and a week-by-week path with hands-on labs to start building today.Startup Tech Stack: Building Smart with Azure ServicesExplore how startups can leverage Azure services to build a powerful, scalable tech stack. Learn how to select and implement key Azure tools for success.
PremiumIncluded in Premium
Duration
60 min
Steps
5

Environment

Browser Code IDELive Cloud Environment

Every lab includes

  • Real environment, pre-credentialed
  • Automated checks on every step
  • Isolated sandbox, auto cleanup
  • AI-recommended next steps

Lab curriculum

  1. 01

    Logging into Azure Account using Azure Portal

  2. 02

    Understanding the Application Architecture

  3. 03

    Dockerizing and Pushing the Frontend

    1 automated check

  4. 04

    Dockerizing and Pushing the Backend API

    1 automated check

  5. 05

    Deploying Container Apps and Verifying the Application

    2 automated checks

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