Build and Deploy Dockerized Python Application to Azure Container Instances (ACI) using Azure DevOps

This project demonstrates how to build a Dockerized Python application and deploy it to Azure Container Instances (ACI) using an automated Azure DevOps CI/CD pipeline.

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🚀 Overview

This pipeline performs the following steps:

• ✅ Triggers automatically when changes are pushed to the main branch.
• ⚙️ Checks for and creates an Azure Resource Group (if it doesn't exist).
• 🗂 Creates or verifies an existing Azure Container Registry (ACR) with admin access.
• 🐳 Builds a Docker image using BuildKit and caches layers for faster builds.
• 🔍 Scans the Docker image for vulnerabilities using Trivy.
• 📤 Pushes the tagged and latest Docker images to ACR.
• 📦 Deploys the Docker container to Azure Container Instances (ACI).
• 🔁 Verifies deployment status and container state.

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📁 Azure DevOps Pipeline

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🛠 Requirements

• Azure DevOps project
• Azure Subscription with permissions to create ACR, ACI, and Resource Groups
• Azure CLI installed (for local testing)
• Docker installed (for local builds)
• Trivy (optional, for local vulnerability scanning)

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🐳 Dockerfile

A simple Dockerfile example for a Python app:

FROM python:3.10-slim

WORKDIR /app

COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

COPY . .

CMD ["python", "app.py"]