Fullstack Flask Deployment: Setting Up Continuous Delivery on AWS with CodePipeline

August 02, 2025

In today’s agile development environment, deploying applications manually is no longer efficient or reliable. Continuous Delivery (CD) automates the process of building, testing, and deploying code changes, allowing developers to release updates faster and more confidently. AWS CodePipeline is Amazon's fully managed CI/CD service that enables seamless deployment automation. In this blog, we’ll explore how to set up continuous delivery for a fullstack Flask application using AWS CodePipeline.

Why Use AWS CodePipeline?

AWS CodePipeline automates the release process by integrating with source control, build services, and deployment environments. For Flask applications, this means you can automatically push updates from your GitHub repository to your production environment on AWS with zero manual intervention.

Key benefits include:

Faster deployment cycles

Reduced human error

Consistent and repeatable releases

Easy integration with AWS services (EC2, Elastic Beanstalk, Lambda, etc.)

Project Structure Overview

For this guide, assume the fullstack app consists of:

Flask Backend: REST API built with Python

Frontend: React or Vue app (optional, deployed separately)

Deployment Target: AWS Elastic Beanstalk (recommended for Flask)

Step 1: Prepare Your Flask App for Deployment

Before setting up the pipeline:

Create a requirements.txt file:

bash

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pip freeze > requirements.txt

Create a wsgi.py file:

python

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from app import app

if __name__ == "__main__":

app.run()

Add a Procfile for Elastic Beanstalk:

makefile

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web: gunicorn wsgi:app

Ensure your project is version-controlled in GitHub, CodeCommit, or Bitbucket.

Step 2: Create Elastic Beanstalk Environment

Go to AWS Elastic Beanstalk.

Create a new environment using the Python platform.

Deploy the initial version manually or use the EB CLI (eb init and eb create).

Step 3: Set Up CodePipeline

1. Go to AWS CodePipeline and click “Create Pipeline.”

2. Source Stage:

Choose GitHub (or CodeCommit) as the source.

Connect your repository and select the branch to track.

3. Build Stage (Optional but recommended):

Use AWS CodeBuild to test or package your application.

Create a buildspec.yml file:

yaml

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version: 0.2

phases:

install:

runtime-versions:

python: 3.10

commands:

- pip install -r requirements.txt

build:

commands:

- echo Build successful

artifacts:

files:

- '**/*'

4. Deploy Stage:

Select Elastic Beanstalk as the deployment provider.

Choose your existing environment.

5. Review and Create:

Review all settings and create the pipeline.

Step 4: Automate Frontend Deployment (Optional)

If you're deploying a React or Vue frontend:

Use a separate CodePipeline or AWS Amplify.

Host on S3 + CloudFront or Amplify Hosting.

Connect frontend and backend via API calls using environment-specific URLs.

Monitoring and Logs

Use AWS CloudWatch to monitor logs and set alarms for failures.

View CodePipeline execution history for audit trails.

Configure notifications using SNS for real-time alerts.

Conclusion

Setting up continuous delivery with AWS CodePipeline ensures your fullstack Flask applications are deployed quickly and reliably. By integrating GitHub, CodeBuild, and Elastic Beanstalk, you automate the entire release process—freeing up developers to focus on innovation rather than manual deployments. Whether you're deploying simple APIs or complex fullstack systems, AWS CodePipeline makes modern DevOps workflows achievable and efficient.

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