AI-200
Azure
Back to Deploy and operate containers on Azure App Service

Project: Example — Deploying a container to Azure Container Apps

Architecture and folder structure

Architecture

Diagram
Developer
    │
    ├── Local dev ──▶ docker compose up ──▶ Quote API (port 8000)
    │
    └── Azure deploy ──▶ ACR (build image) ──▶ Container Apps (run API)
                              │
                              └── ACR Tasks (build, lint, push on trigger)

Flow:

  1. Code is built into a Docker image
  2. Image is stored in Azure Container Registry
  3. Azure Container Apps pulls the image and runs the API
  4. ACR Tasks automate build → lint → push (see acr-task.yaml)

Folder structure

Diagram
quote-api/
├── app/
│   ├── __init__.py
│   ├── main.py              # FastAPI app entry point
│   ├── config.py            # Environment settings
│   ├── models.py            # Domain models
│   ├── schemas.py           # Request/response schemas
│   ├── database.py          # In-memory quote store
│   ├── routes/
│   │   └── quotes.py        # API endpoints
│   └── services/
│       └── quote_service.py # Business logic
├── deploy.sh                # Azure deployment (Linux/macOS)
├── deploy.ps1               # Azure deployment (Windows)
├── acr-task.yaml            # Multi-step ACR build pipeline
├── Dockerfile               # Production container image
├── docker-compose.yml       # Local development
├── requirements.txt
├── .env.example             # Environment variable template
└── .gitignore

Short notes

  • deploy.ps1 / deploy.sh — end-to-end Azure provision + deploy
  • acr-task.yaml — multi-step ACR Task (lint + build + push)
  • App listens on 8000 (matches Container Apps --target-port)

Repository

https://github.com/Suralmk/azure-contianers