How do you deploy a full stack Python application (e.g., using Docker, Heroku, or AWS)?

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Deploying a full stack Python application involves setting up both the frontend and backend, often with a database, in a production environment. Here’s a general overview using Docker, Heroku, or AWS:

1. Using Docker:

  • Containerize the app: Write a Dockerfile for the backend (e.g., Flask, Django) and one for the frontend (e.g., React).

  • Use Docker Compose: Define services (backend, frontend, database) in a docker-compose.yml file to manage multi-container setups.

  • Build and run locally: Test everything with docker-compose up.

  • Deploy: Push to a cloud service (e.g., AWS ECS, DigitalOcean, or a virtual machine) with Docker installed.

2. Using Heroku:

  • Prepare the app: Ensure a Procfile, requirements.txt, and runtime.txt are in place for a Python app.

  • Frontend options: Deploy separately (e.g., to Netlify or Vercel) or integrate it into the backend.

  • Database: Use Heroku Postgres or add-ons.

  • Deploy: Push code via Git. Heroku automatically builds and deploys the app.

3. Using AWS:

  • EC2 or Elastic Beanstalk: Use EC2 for manual setup or Elastic Beanstalk for managed deployment.

  • Container services: Use ECS or EKS with Docker.

  • Database: Use RDS for managed databases.

  • CI/CD: Set up using CodePipeline or GitHub Actions.

  • Security and scaling: Configure IAM roles, auto-scaling groups, and load balancers.

Each method varies in complexity. Docker offers portability, Heroku simplifies setup, and AWS provides full control and scalability.

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