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Azure Container Apps Deployment

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Effortlessly deploy your applications to Azure Container Apps.

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What Azure Container Apps Deployment does

The Azure Developer CLI (azd) Container Apps Deployment skill streamlines the process of deploying both frontend and backend applications to Azure Container Apps. This skill is designed for developers looking to leverage Azure's containerization capabilities while maintaining a clean and efficient deployment workflow. With features like remote builds and managed identity, it allows for seamless integration with Azure's infrastructure.

To get started, users can initialize their project with a few simple commands, which set up the necessary configuration files and environment variables. The core structure includes an azure.yaml file for service definitions and Bicep files for infrastructure management. This organization not only aids in maintaining clarity but also ensures that deployments are idempotent, meaning that repeated deployments will not lead to unintended changes in the application state.

The skill also supports a robust environment variable management system, allowing developers to easily set and manage different configurations for various environments like development, staging, and production. This is particularly useful for teams working in multiple environments, as it helps to ensure that the correct settings are applied without manual intervention. Additionally, the use of Bicep for infrastructure as code provides a declarative approach to resource management, making it easier to maintain and update the deployment as needed.

Overall, this skill is ideal for developers and DevOps engineers who are looking to automate their deployment processes to Azure Container Apps while ensuring that their applications are built and deployed consistently and reliably.

When to use it

Use this skill when you need to deploy containerized applications to Azure Container Apps with a focus on automation and reliability.

When not to use it

This skill may not be suitable for users who require extensive customization of the deployment process or those who do not use Azure as their cloud provider.

What you can build with it

Quick Deployment of a New Project

Set up and deploy a new application to Azure Container Apps with minimal configuration using the azd CLI.

Managing Multiple Environments

Easily switch between development, staging, and production environments with environment-specific configurations.

Automating Infrastructure Management

Utilize Bicep for declarative infrastructure management, ensuring consistent and repeatable deployments.

How to install Azure Container Apps Deployment

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1. Install with the skills CLI

npx skills add sickn33/agentic-awesome-skills/azd-deployment --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by sickn33

Azure Developer CLI (azd) Container Apps Deployment

Deploy containerized frontend + backend applications to Azure Container Apps with remote builds, managed identity, and idempotent infrastructure.

Quick Start

# Initialize and deploy
azd auth login
azd init                    # Creates azure.yaml and .azure/ folder
azd env new <env-name>      # Create environment (dev, staging, prod)
azd up                      # Provision infra + build + deploy

Core File Structure

project/
├── azure.yaml              # azd service definitions + hooks
├── infra/
│   ├── main.bicep          # Root infrastructure module
│   ├── main.parameters.json # Parameter injection from env vars
│   └── modules/
│       ├── container-apps-environment.bicep
│       └── container-app.bicep
├── .azure/
│   ├── config.json         # Default environment pointer
│   └── <env-name>/
│       ├── .env            # Environment-specific values (azd-managed)
│       └── config.json     # Environment metadata
└── src/
    ├── frontend/Dockerfile
    └── backend/Dockerfile

azure.yaml Configuration

Minimal Configuration

name: azd-deployment
services:
  backend:
    project: ./src/backend
    language: python
    host: containerapp
    docker:
      path: ./Dockerfile
      remoteBuild: true

Full Configuration with Hooks

name: azd-deployment
metadata:
  template: my-project@1.0.0

infra:
  provider: bicep
  path: ./infra

azure:
  location: eastus2

services:
  frontend:
    project: ./src/frontend
    language: ts
    host: containerapp
    docker:
      path: ./Dockerfile
      context: .
      remoteBuild: true

  backend:
    project: ./src/backend
    language: python
    host: containerapp
    docker:
      path: ./Dockerfile
      context: .
      remoteBuild: true

hooks:
  preprovision:
    shell: sh
    run: |
      echo "Before provisioning..."
      
  postprovision:
    shell: sh
    run: |
      echo "After provisioning - set up RBAC, etc."
      
  postdeploy:
    shell: sh
    run: |
      echo "Frontend: ${SERVICE_FRONTEND_URI}"
      echo "Backend: ${SERVICE_BACKEND_URI}"

Key azure.yaml Options

OptionDescription
remoteBuild: trueBuild images in Azure Container Registry (recommended)
context: .Docker build context relative to project path
host: containerappDeploy to Azure Container Apps
infra.provider: bicepUse Bicep for infrastructure

Environment Variables Flow

Three-Level Configuration

  1. Local .env - For local development only
  2. .azure/<env>/.env - azd-managed, auto-populated from Bicep outputs
  3. main.parameters.json - Maps env vars to Bicep parameters

Parameter Injection Pattern

// infra/main.parameters.json
{
  "parameters": {
    "environmentName": { "value": "${AZURE_ENV_NAME}" },
    "location": { "value": "${AZURE_LOCATION=eastus2}" },
    "azureOpenAiEndpoint": { "value": "${AZURE_OPENAI_ENDPOINT}" }
  }
}

Syntax: ${VAR_NAME} or ${VAR_NAME=default_value}

Setting Environment Variables

# Set for current environment
azd env set AZURE_OPENAI_ENDPOINT "https://my-openai.openai.azure.com"
azd env set AZURE_SEARCH_ENDPOINT "https://my-search.search.windows.net"

# Set during init
azd env new prod
azd env set AZURE_OPENAI_ENDPOINT "..." 

Bicep Output → Environment Variable

// In main.bicep - outputs auto-populate .azure/<env>/.env
output SERVICE_FRONTEND_URI string = frontend.outputs.uri
output SERVICE_BACKEND_URI string = backend.outputs.uri
output BACKEND_PRINCIPAL_ID string = backend.outputs.principalId

Idempotent Deployments

Why azd up is Idempotent

  1. Bicep is declarative - Resources reconcile to desired state
  2. Remote builds tag uniquely - Image tags include deployment timestamp
  3. ACR reuses layers - Only changed layers upload

Preserving Manual Changes

Custom domains added via Portal can be lost on redeploy. Preserve with hooks:

hooks:
  preprovision:
    shell: sh
    run: |
      # Save custom domains before provision
      if az containerapp show --name "$FRONTEND_NAME" -g "$RG" &>/dev/null; then
        az containerapp show --name "$FRONTEND_NAME" -g "$RG" \
          --query "properties.configuration.ingress.customDomains" \
          -o json > /tmp/domains.json
      fi

  postprovision:
    shell: sh
    run: |
      # Verify/restore custom domains
      if [ -f /tmp/domains.json ]; then
        echo "Saved domains: $(cat /tmp/domains.json)"
      fi

Handling Existing Resources

// Reference existing ACR (don't recreate)
resource containerRegistry 'Microsoft.ContainerRegistry/registries@2023-07-01' existing = {
  name: containerRegistryName
}

// Set customDomains to null to preserve Portal-added domains
customDomains: empty(customDomainsParam) ? null : customDomainsParam

Container App Service Discovery

Internal HTTP routing between Container Apps in same environment:

// Backend reference in frontend env vars
env: [
  {
    name: 'BACKEND_URL'
    value: 'http://ca-backend-${resourceToken}'  // Internal DNS
  }
]

Frontend nginx proxies to internal URL:

location /api {
    proxy_pass $BACKEND_URL;
}

Managed Identity & RBAC

Enable System-Assigned Identity

resource containerApp 'Microsoft.App/containerApps@2024-03-01' = {
  identity: {
    type: 'SystemAssigned'
  }
}

output principalId string = containerApp.identity.principalId

Post-Provision RBAC Assignment

hooks:
  postprovision:
    shell: sh
    run: |
      PRINCIPAL_ID="${BACKEND_PRINCIPAL_ID}"
      
      # Azure OpenAI access
      az role assignment create \
        --assignee-object-id "$PRINCIPAL_ID" \
        --assignee-principal-type ServicePrincipal \
        --role "Cognitive Services OpenAI User" \
        --scope "$OPENAI_RESOURCE_ID" 2>/dev/null || true
      
      # Azure AI Search access
      az role assignment create \
        --assignee-object-id "$PRINCIPAL_ID" \
        --role "Search Index Data Reader" \
        --scope "$SEARCH_RESOURCE_ID" 2>/dev/null || true

Common Commands

# Environment management
azd env list                        # List environments
azd env select <name>               # Switch environment
azd env get-values                  # Show all env vars
azd env set KEY value               # Set variable

# Deployment
azd up                              # Full provision + deploy
azd provision                       # Infrastructure only
azd deploy                          # Code deployment only
azd deploy --service backend        # Deploy single service

# Debugging
azd show                            # Show project status
az containerapp logs show -n <app> -g <rg> --follow  # Stream logs

Reference Files

  • Bicep patterns: See references/bicep-patterns.md for Container Apps modules
  • Troubleshooting: See references/troubleshooting.md for common issues
  • azure.yaml schema: See references/azure-yaml-schema.md for full options

Critical Reminders

  1. Always use remoteBuild: true - Local builds fail on M1/ARM Macs deploying to AMD64
  2. Bicep outputs auto-populate .azure/<env>/.env - Don't manually edit
  3. Use azd env set for secrets - Not main.parameters.json defaults
  4. Service tags (azd-service-name) - Required for azd to find Container Apps
  5. || true in hooks - Prevent RBAC "already exists" errors from failing deploy

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Frequently asked questions about Azure Container Apps Deployment

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