CI/CD on AWS: Simple Hands-On Python Flask App

By /

Listen to this Post

Featured Image
Setting up a CI/CD pipeline is essential for modern application development. AWS provides powerful tools like CodeBuild, CodeDeploy, and CodePipeline to automate deployments efficiently. Below is a detailed guide on deploying a Python Flask app using AWS CI/CD services.

Prerequisites

  • AWS Account
  • Basic knowledge of Python & Flask
  • GitHub repository for the Flask app
  • AWS CLI configured

Step 1: Set Up AWS CodeCommit (or Connect GitHub)

If using AWS CodeCommit:

aws codecommit create-repository --repository-name MyFlaskApp 
git clone codecommit::us-east-1://MyFlaskApp 
cd MyFlaskApp

If using GitHub, connect via AWS CodeStar or CodePipeline GitHub integration.

Step 2: Create a buildspec.yml for AWS CodeBuild

Save this in your repo root:

version: 0.2 
phases: 
install: 
commands: 
- pip install -r requirements.txt 
build: 
commands: 
- echo "Build started" 
- python app.py & 
artifacts: 
files: 
- '/'

Step 3: Configure AWS CodePipeline

1. Go to AWS CodePipeline → Create Pipeline.

2. Select GitHub (or CodeCommit) as the source.

3. Choose AWS CodeBuild as the build provider.

  1. For deployment, use AWS Elastic Beanstalk or ECS.

Step 4: Deploy Using AWS CodeDeploy

Create `appspec.yml`:

version: 0.0 
Resources: 
- TargetService: 
Type: AWS::ECS::Service 
Properties: 
TaskDefinition: "<TASK_DEF_ARN>" 
LoadBalancerInfo: 
ContainerName: "flaskapp" 
ContainerPort: 5000

Step 5: Monitor & Automate

  • Use AWS CloudWatch for logs.
  • Enable SNS notifications for pipeline failures.

You Should Know:

  • AWS CLI commands for CI/CD: 
    aws codebuild start-build --project-name MyFlaskBuild 
aws codepipeline get-pipeline-state --name MyFlaskPipeline
  • Troubleshooting: 
    aws logs tail /aws/codebuild/MyFlaskBuild --follow
  • Security Best Practices: 
    aws iam create-policy --policy-name CICDAccess --policy-document file://policy.json

What Undercode Say:

Automating deployments with AWS CI/CD reduces human error and accelerates releases. Integrating GitHub Actions with AWS provides flexibility, while CodePipeline ensures seamless AWS-native workflows. For advanced users, infrastructure-as-code (IaC) with AWS CDK enhances reproducibility.

Expected Output:

A fully automated pipeline deploying Flask apps on AWS with zero manual intervention.

Prediction:

CI/CD adoption will grow, with AI-driven deployment optimizations predicting failures before they occur.

Reference: CI/CD on AWS: Simple hands-on python flask app

IT/Security Reporter URL:

Reported By: Darryl Ruggles – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

Join Our Cyber World:

💬 Whatsapp | 💬 Telegram

Related Posts: