Day 18 – Deploying Python Web Apps on AWS or Heroku

Introduction

Building a Python Full Stack application is one thing; making it accessible to the world is another. Deployment transforms your local project into a live, production-ready web application.

At Curiosity Tech, deployment is emphasized as a core skill for Python Full Stack developers. Without deployment, an application remains a local experiment. Deploying on cloud platforms such as AWS or Heroku ensures scalability, reliability, and global accessibility.

Choosing the Right Platform

Platform Comparison

Analogy:- AWS is like building your dream house from scratch, while Heroku is like renting a fully furnished apartment that is ready to move into.

Preparing Your App for Deployment

Steps common to both platforms:

Requirements File

Generate a list of dependencies:

pip freeze > requirements.txt

Environment Variables

Store sensitive values such as API keys and database credentials using environment variables.

Example:- .env file:

SECRET_KEY=your_secret_key
DATABASE_URL=postgres://user:pass@host:port/dbname

WSGI / ASGI Entry Point

  • Flask applications require a WSGI entry file such as wsgi.py
  • Django projects already include wsgi.py or asgi.py

Static Files Handling

  • Django applications must run:
python manage.py collectstatic
  • Flask applications should ensure the static folder is properly served

Procfile (Required for Heroku)

Example:

web: gunicorn app:app

Deploying on H 1 – Login and Create App

heroku login
heroku create my-python-app

2 – Initialize Git Repository

git init
git add .
git commit -m "Initial commit"

3 – Push Code to Heroku

git push heroku main

4 – Open the App

heroku open

Within minutes, the Python application becomes live and accessible globally.

Deploying on AWS Elastic Beanstalk

Install AWS CLI and Elastic Beanstalk CLI

pip install awsebcli

Initialize Elastic Beanstalk

eb init -p python-3.9 my-python-app --region us-east-1

Create Environment and Deploy

eb create my-python-env
eb deploy

Open the Application

eb open

AWS Elastic Beanstalk provides auto-scaling, monitoring, and full infrastructure control, making it suitable for production deployments.

Common Deployment Issues and Fixes

  • App crashes on Heroku:- Check the Procfile and installed dependencies
  • Missing environment variables:- Set variables using:
heroku config:set KEY=value
  • Static files not loading in Django:- Run collectstatic and configure WhiteNoise
  • Database connection errors:- Verify DATABASE_URL and ensure migrations are applied

Deployment Workflow

Local Development → Git Version Control → Cloud Platform → Build & Configure → Deploy → Monitor & Scale

Real-World Example – CuriosityTech Training

Students at CuriosityTech deployed a Python Full Stack blogging platform.

Backend stack included Django with a REST API.

Deployment approach:

  • Heroku was used for rapid prototyping
  • AWS Elastic Beanstalk was used for production deployment with PostgreSQL

Outcome: Students gained hands-on experience deploying real applications, managing environment variables, handling static files, and understanding scaling strategies.

Best Practices for Deployment

  • Always store secrets using environment variables
  • Test applications locally before deploying
  • Use Gunicorn or uWSGI as the production server
  • Monitor logs using heroku logs --tail or eb logs
  • Enable HTTPS and SSL certificates
  • Implement CI/CD pipelines for automated deployments

Conclusion

At Curiosity Tech, we treat deployment as a real-world skill, not an afterthought. We train students to move beyond writing code and launch their applications live on the web, confidently serving users across the globe

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