Skill

Deploy Container Apps with Azure Developer CLI

A skill for deploying containerized frontend/backend apps to Azure Container Apps with azd, remote builds, managed identity, and idempotent Bicep infra.

Works with azuregithub

69
Spark score
out of 100
Updated 23 days ago
Source checked Oct 15, 2026
Version 19.7.0

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Why it matters

Automate the deployment of containerized frontend and backend applications to Azure Container Apps. This skill handles remote builds, managed identity, and idempotent infrastructure provisioning using Bicep.

Outcomes

What it gets done

01

Initialize and deploy applications to Azure Container Apps.

02

Configure infrastructure as code using Bicep.

03

Manage environment variables and secrets for deployments.

04

Implement remote container image builds for efficient CI/CD.

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-azd-deployment | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

This skill deploys containerized frontend and backend apps to Azure Container Apps with the Azure Developer CLI (azd), covering azure.yaml service definitions, Bicep infrastructure, environment variable flow, provision and deploy hooks, and managed-identity RBAC assignment. azd up stays idempotent because Bicep reconciles resources to a declarative desired state. Use it when setting up or maintaining an azd-based deployment to Azure Container Apps, including its Bicep infrastructure, environment configuration, and deployment hooks.

What it does

This skill teaches an agent to deploy containerized frontend and backend applications to Azure Container Apps with the Azure Developer CLI (azd), using remote builds, managed identity, and idempotent Bicep infrastructure. The flow is azd auth login, azd init to create azure.yaml and a .azure/ folder, azd env new <env-name> to create an environment, then azd up to provision infrastructure, build, and deploy in one step. Deployments stay idempotent because Bicep reconciles resources to a declarative desired state, remote builds tag images uniquely per deployment, and Azure Container Registry reuses unchanged layers.

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

When to use - and when NOT to

Use it when setting up or maintaining an azd-based deployment for services hosted as Azure Container Apps - defining azure.yaml service blocks, wiring environment variables through the three-level configuration (local .env, azd-managed .azure/<env>/.env, and main.parameters.json), or writing preprovision, postprovision, and postdeploy hooks. It targets the Container Apps host (host: containerapp) with Bicep infrastructure specifically; it is not a general guide for other Azure compute targets. Always set remoteBuild: true - local builds fail when deploying from an M1/ARM Mac to the AMD64 Container Apps runtime.

Inputs and outputs

Inputs: an azure.yaml defining services (project path, language, host: containerapp, Docker path/context, remoteBuild: true), Bicep modules under infra/ with main.parameters.json mapping ${VAR_NAME} or ${VAR_NAME=default_value} syntax to Bicep parameters, and hooks (preprovision, postprovision, postdeploy) written as shell scripts. Secrets should be set with azd env set KEY value rather than defaulted in main.parameters.json. Outputs: provisioned Azure Container Apps infrastructure, deployed container images, and environment variables auto-populated into .azure/<env>/.env straight from Bicep outputs, such as SERVICE_FRONTEND_URI, SERVICE_BACKEND_URI, and BACKEND_PRINCIPAL_ID.

Integrations

Azure Container Apps, Azure Container Registry (via remoteBuild: true), Bicep for infrastructure-as-code, Azure role-based access control for granting a Container App's managed identity access to dependent services - for example the Cognitive Services OpenAI User role for Azure OpenAI or Search Index Data Reader for Azure AI Search - and internal DNS-based service discovery between Container Apps in the same environment, such as an nginx proxy_pass to a backend's internal URL.

Who it's for

Developers and platform engineers deploying multi-service (frontend plus backend) applications to Azure Container Apps who want a repeatable, idempotent azd-driven pipeline instead of manual az CLI provisioning, including handling RBAC role assignment and preserving Portal-added custom domains across redeploys.

FAQ

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