Fullstack Python: Setting Up a Fully Managed Flask App Environment on AWS

Flask is one of the most popular lightweight Python frameworks for building modern web applications. When combined with AWS services, developers can move beyond just building applications on their laptops and actually deploy them into a scalable, secure, and production-ready environment. In this blog, let’s walk through how to set up a fully managed Flask app environment on AWS, step by step.


Why Flask on AWS?

Flask is easy to get started with, but deployment is often a challenge. Running a Flask app on AWS gives you:

Scalability – handle traffic spikes with load balancers and autoscaling.

Security – integrate IAM roles, HTTPS, and secure storage.

Managed Services – less time spent on server maintenance and more on coding.

Flexibility – connect to AWS databases, queues, and analytics seamlessly.

AWS provides multiple options for deploying Flask apps, but one of the most developer-friendly services is Elastic Beanstalk.


Step 1: Prepare Your Flask App

Before deploying, make sure your Flask project has:

Application File (app.py or application.py)

from flask import Flask

app = Flask(__name__)

@app.route('/')

def hello():

    return "Hello, AWS Flask World!"


Requirements File (requirements.txt)

Example:

Flask==2.3.2

gunicorn


Gunicorn is a WSGI HTTP server required for production deployments.


WSGI File (wsgi.py)


from app import app


if __name__ == "__main__":

    app.run()


Step 2: Set Up AWS Elastic Beanstalk

Sign in to the AWS Management Console.

Go to Elastic Beanstalk and create a new application.

Choose Python platform as your runtime.

Upload your project as a .zip file containing app.py, requirements.txt, and wsgi.py.

Elastic Beanstalk will automatically:

Create an EC2 instance.

Install dependencies.

Configure the environment.

Expose your app on a public domain (e.g., http://yourapp.us-east-1.elasticbeanstalk.com).


Step 3: Add a Database (Optional)

If your Flask app requires a database:

Use Amazon RDS (Relational Database Service) for MySQL/PostgreSQL.

Update your Flask configuration with RDS credentials.

Always store secrets securely in AWS Systems Manager Parameter Store or AWS Secrets Manager.


Step 4: Secure and Scale

Enable HTTPS with AWS Certificate Manager.

Configure Auto Scaling for traffic surges.

Add CloudWatch monitoring for logs and metrics.


Conclusion

Deploying Flask manually on virtual servers can be complex, but AWS makes it seamless with Elastic Beanstalk and other managed services. With just a few configurations, you can go from running Flask on your laptop to having a fully managed, production-ready environment that is secure, scalable, and easy to maintain.

Learn FullStack Python Training

Read More : Fullstack Python: Securing Flask Apps in the Cloud with IAM Roles

Read More : Fullstack Flask: Implementing Auto-Scaling for Flask Apps on AWS

Read More : Flask with Docker: Deploying Microservices on Cloud with Kubernetes

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