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

In today’s fast-paced development environment, deploying manually is inefficient and error-prone. For Python developers building fullstack applications with Flask, integrating Continuous Delivery (CD) can save hours and ensure seamless rollouts. This blog will guide you through setting up a CD pipeline using AWS CodePipeline for deploying a Flask app to AWS — enabling faster releases, better collaboration, and fewer bugs in production.


What is Continuous Delivery (CD)?

Continuous Delivery is the practice of automatically building, testing, and deploying your code changes to production or staging environments. When combined with CI (Continuous Integration), it creates a powerful workflow where every code change goes through automated testing and can be deployed with confidence.


Architecture Overview

Here’s the architecture we’ll use:

Frontend: Hosted on AWS S3 + CloudFront (React/HTML/CSS/JS)

Backend (Flask): Packaged into a Docker container and deployed on AWS ECS (Elastic Container Service) or EC2

CI/CD: Managed with AWS CodePipeline + CodeBuild + CodeDeploy

Code Repository: GitHub or AWS CodeCommit


Step-by-Step Guide

1. Prepare Your Flask Application

Structure your Flask app to support deployment in a production environment. If using Docker, your repo should contain a Dockerfile:


dockerfile


FROM python:3.9

WORKDIR /app

COPY . .

RUN pip install -r requirements.txt

CMD ["gunicorn", "-b", "0.0.0.0:5000", "app:app"]

Push your code to GitHub or AWS CodeCommit.


2. Set Up S3 Bucket for Artifacts

AWS CodePipeline stores build and deployment artifacts in S3. Create a dedicated S3 bucket, e.g., flask-app-artifacts.


3. Create a CodeBuild Project

CodeBuild will build your Docker image and push it to Amazon ECR (Elastic Container Registry).

Go to CodeBuild → Create Project

Connect to your source repository (GitHub or CodeCommit)

Use a buildspec.yml in your repo:

yaml

version: 0.2


phases:

  pre_build:

    commands:

      - echo Logging in to Amazon ECR...

      - $(aws ecr get-login --no-include-email --region us-east-1)

      - REPOSITORY_URI=123456789.dkr.ecr.us-east-1.amazonaws.com/flask-app

  build:

    commands:

      - docker build -t flask-app .

      - docker tag flask-app:latest $REPOSITORY_URI:latest

  post_build:

    commands:

      - docker push $REPOSITORY_URI:latest


artifacts:

  files: '**/*'


4. Set Up CodeDeploy (for ECS or EC2)

Depending on your hosting:

ECS: Use a task definition file and deploy service with a new image

EC2: Install CodeDeploy agent and define deployment hooks in appspec.yml


5. Create CodePipeline

Now that CodeBuild and CodeDeploy are ready:

Go to CodePipeline → Create Pipeline

Select your source (GitHub or CodeCommit)

Add your CodeBuild project as the build stage

Add CodeDeploy as the deploy stage

Define artifact locations (S3 bucket)

Once complete, every push to your repo will trigger an automated build and deployment.


Benefits of CD for Flask Apps

Faster iterations: Push code and see it live automatically

Fewer errors: Automated builds and tests reduce human mistakes

Better collaboration: Teams can test and deploy without waiting

Professional workflow: Mirrors real-world DevOps practices


Conclusion

With AWS CodePipeline, you can bring enterprise-grade DevOps practices to your fullstack Flask applications. By automating build, test, and deployment workflows, you free up time to focus on what really matters — building great features. Whether you're a solo developer or part of a team, continuous delivery on AWS is a game-changer.


Learn FullStack Python Training

Read More : Deploying Fullstack Python Apps on AWS Lambda for Serverless Architecture

Read More : Fullstack Python: Using Google Cloud Platform (GCP) for Flask App Deployment

Read More : Flask Deployment on Azure: Setting Up Fullstack Python Applications

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