How to Deploy Your Full Stack Python App on Heroku or AWS

After building your full stack Python application, the next big step is deployment—putting your app online so users can access it. Two of the most popular platforms for deploying web applications are Heroku and AWS (Amazon Web Services). Both offer reliable solutions but cater to slightly different needs. This guide will walk you through the basics of deploying a Python-based full stack app using either of these platforms.


Why Deployment Matters

Building a project is only half the journey. Deployment turns your local project into a live, accessible application. Whether you’ve built a blog using Django and React or a REST API with Flask and Vue, learning how to deploy your app is essential for real-world development, job readiness, and showcasing your skills to potential employers.


Option 1: Deploying on Heroku (Beginner-Friendly)

Heroku is a great choice for beginners because of its simplicity and developer-friendly interface.


Steps to Deploy a Full Stack Python App on Heroku:

Prepare Your Backend (Django/Flask)


Ensure your app has a requirements.txt file and a Procfile.


Configure your wsgi.py or app.py file correctly.


Add Static Files and Environment Configurations


For Django, use WhiteNoise to manage static files.


Set environment variables (e.g., SECRET_KEY, DEBUG) using Heroku’s dashboard.


Frontend Build (If using React or Vue)


Build your frontend (npm run build) and serve it using your backend (e.g., using Django’s staticfiles or Flask’s send_from_directory).


Push Code to GitHub


Heroku connects to GitHub or accepts a direct Git push.


Create Heroku App & Deploy


Use CLI: heroku create then git push heroku main


Or, link your GitHub repo from the Heroku dashboard.


Provision a Database (Optional)


Add PostgreSQL via Heroku Add-ons if needed.


Visit Your Live App


You’ll get a live URL like https://yourapp.herokuapp.com


Best for: Prototypes, small apps, portfolios, and learning projects.


Option 2: Deploying on AWS (Scalable & Advanced)

AWS offers more control, scalability, and flexibility, but has a steeper learning curve. You can deploy Python apps using services like Elastic Beanstalk, EC2, or Lightsail.


Deploying with Elastic Beanstalk (Simplified AWS Hosting)

Install AWS CLI and EB CLI


Set up your credentials using aws configure.


Prepare Your App


Organize your app folder with a requirements.txt and application.py (entry point).


Create a Procfile if needed.


Initialize and Deploy


Run eb init to link your app to a Beanstalk environment.


Run eb create to deploy.


Open the app using eb open.


Frontend Hosting


For full stack apps, host your frontend on S3 (as a static site) or combine it in one Beanstalk environment.


Best for: Production-level apps, scalable platforms, enterprise-level deployment.


Conclusion

Choosing between Heroku and AWS depends on your project’s complexity and your experience level. If you’re starting out or need a fast deployment, Heroku is perfect. If you’re ready to scale or want to learn cloud architecture, AWS is a valuable skill to master.


No matter the platform, deploying your app shows you're not just a coder—you’re a creator who can deliver real, working software to the world.

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