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

Deploying and managing a web application in the cloud can be daunting, especially for developers who want to focus more on coding than infrastructure. That’s where fully managed environments come in — offering scalability, security, and automated operations without needing to manage servers manually. In this blog, we’ll walk through how to set up a fully managed Flask app environment on AWS, using services like Elastic Beanstalk, RDS, and S3.

Why a Fully Managed Environment?

A fully managed environment handles:

Auto-scaling and load balancing

Application monitoring and health checks

Patch management and OS updates

Integrated CI/CD support

For Flask apps, this translates into less DevOps overhead and faster time to production.

Step-by-Step Guide to Deploying Flask with AWS Elastic Beanstalk

✅ Step 1: Prepare Your Flask App

Structure your app with the following files:

arduino

/myapp

│

├── application.py

├── requirements.txt

├── .ebextensions/

│   └── flask.config

└── Procfile

application.py

python

from flask import Flask

app = Flask(__name__)

@app.route('/')

def home():

    return "Hello from Flask on AWS!"

requirements.txt

ini

Copy

Edit

Flask==2.3.2

Procfile

makefile

Copy

Edit

web: gunicorn application:app

✅ Step 2: Install the AWS EB CLI

Install and configure the Elastic Beanstalk CLI:

bash

pip install awsebcli

aws configure

Provide your AWS access key, secret, and region.

✅ Step 3: Initialize and Deploy with Elastic Beanstalk

bash

eb init -p python-3.11 flask-app --region us-east-1

eb create flask-env

Elastic Beanstalk will:

Create an EC2 instance and environment

Configure a load balancer

Deploy your Flask app

Assign a URL like http://flask-env.eba-xyz.elasticbeanstalk.com

Use eb deploy to push updates anytime.

Adding a Managed Database with Amazon RDS

Instead of using SQLite or installing MongoDB on the server, connect your Flask app to a managed RDS database.

✅ Steps:

Go to RDS console > Create database

Choose engine (PostgreSQL or MySQL)

Enable public access (if needed) and set credentials

Add security group rules to allow EB environment access

Update Flask config with RDS connection URI

Example:

python

import pymysql

conn = pymysql.connect(

    host="your-db-host.rds.amazonaws.com",

    user="admin",

    password="password",

    database="mydb"

)

Using Amazon S3 for Static Files

To store images, PDFs, or large files, integrate Amazon S3:

python

import boto3

s3 = boto3.client('s3')

s3.upload_file("file.png", "your-bucket-name", "file.png")

Make sure to assign correct IAM permissions or use environment variables to keep credentials secure.

Monitoring and Scaling

Elastic Beanstalk automatically:

Monitors your app health

Scales instances based on traffic

Provides logs via eb logs

Supports rollbacks and blue-green deployments

Final Thoughts

Setting up a fully managed Flask environment on AWS not only simplifies deployment but also gives you enterprise-grade scalability, reliability, and performance out of the box. With Elastic Beanstalk managing your infrastructure, RDS handling your database, and S3 storing your static files, you can confidently focus on writing clean, functional code.

Learn FullStack Python Training

Read More : Fullstack Flask and MongoDB: Deploying NoSQL Databases on Cloud

Read More : Fullstack Python Deployment: Using Cloud Functions for Serverless Flask Apps

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

Visit Our IHUB Talent Training Institute in Hyderabad

Get Direction