The Cloud Resume Challenge - AWS (My Way)

Overview

This repository contains my implementation of the Cloud Resume Challenge - AWS, tailored to my learning style and goals.

Instead of following the traditional approach of using the AWS Management Console, and then using IaC, source control and CI/CD pipelines in the final steps, as listed in the challenge, I focused on automating the process using modern DevOps practices from the start.

Here,

• All AWS resources are provisioned using Terraform.

• GitHub Actions automate the deployment process for both the frontend and backend.

What This Project Does

This project hosts a personal resume website on AWS with:

• A frontend: A static website showcasing the resume, hosted on an S3 bucket and distributed via CloudFront.

• A backend: An API built using API Gateway and Lambda that interacts with a DynamoDB table to track and display visitor counts.

Project goals

• Get hands-on experience with AWS services like S3, CloudFront, API Gateway, Lambda, and DynamoDB.

• Apply DevOps best practices.

Key Features

1. Terraform Configuration

Resources Provisioned

• S3 bucket for static website hosting.

• CloudFront for content delivery.

• DynamoDB table for visitor count storage.

• API Gateway and Lambda function for backend.

2. Frontend Deployment

• Static files (HTML, CSS, JS) are hosted in an S3 bucket.

• CloudFront distribution ensures fast delivery.

• CI/CD pipeline updates the S3 bucket and invalidates the CloudFront cache on code changes.

3. Backend Deployment

• Python Lambda function tracks visitor counts and updates DynamoDB.

• CI/CD pipeline runs Python tests, packages the code, and deploys it to AWS.

4. CI/CD Pipelines

1. Terraform Pipeline: Validates, formats, and applies infrastructure changes.

2. Frontend Pipeline: Deploys website updates to S3 and clears CloudFront cache.

3. Backend Pipeline: Tests and deploys Python Lambda code.

Challenges Faced

Lessons Learned