Hands-On LabIntermediate

Deploy Azure Container Apps with Terraform

Use Terraform to define and deploy an Azure Container App with ingress, secrets, environment variables, and scaling rules.

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60 minEstimated time
4Guided steps
AutoVerification
IsolatedSandbox
Deploy Azure Container Apps with Terraform

Lab overview

Azure Container Apps is a serverless container platform that abstracts away cluster management, letting you run microservices and API backends without configuring Kubernetes nodes, load balancers, or ingress controllers. It supports automatic scaling (including scale-to-zero) based on HTTP traffic, queue depth, or custom metrics, making it ideal for event-driven and bursty workloads. Defining Container Apps infrastructure with Terraform ensures your environment, ingress, secrets, and scaling rules are declarative, version-controlled, and reproducible across environments.

In this lab, you will define a Container Apps environment backed by Log Analytics, deploy a container app from a public image with external ingress, configure secrets and environment variables through Terraform, and implement HTTP-based auto-scaling rules to control replica count based on concurrent requests.

Objectives

Upon completing this Intermediate level lab, you will be able to:

  • Define an Azure Container Apps environment and Log Analytics workspace using Terraform
  • Deploy a container app from a public container image using the azurerm_container_app resource
  • Configure external ingress with target port and traffic weight settings
  • Set environment variables and secrets in Terraform for container app configuration
  • Define HTTP-based scaling rules to control replica count based on concurrent requests
  • Verify the deployed container app is running and publicly accessible

Who is this lab for?

  • Cloud Engineers who want to learn Infrastructure as Code patterns for serverless container workloads
  • DevOps Practitioners looking to automate Azure Container Apps deployments using Terraform
  • Developers familiar with containers who want to explore Container Apps with a declarative approach

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.Learn Terraform From Scratch: A 4-Lab Path to the Associate CertA beginner's path through CloudLearn's first four Terraform labs, declarative IaC and the plan workflow, providers and version locking, state and drift detection, and built-in functions, toward the HashiCorp Certified Terraform Associate (004).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.
PremiumIncluded in Premium
Duration
60 min
Steps
4

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 CLI

  2. 02

    Creating a Terraform Configuration for the Container Apps Environment

    1 automated check

  3. 03

    Deploying a Container App with Ingress and Secrets

    1 automated check

  4. 04

    Configuring Scaling Rules and Verifying the Deployment

    1 automated check

Skills validated

Azure Container AppsTerraform

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