Cloud Resume Backend

This repository contains the serverless backend powering my personal website as part of the AWS Cloud Resume Challenge.

The backend is responsible for tracking website visitors using a serverless architecture built with AWS Lambda, DynamoDB, and API Gateway. This project demonstrates practical cloud engineering by implementing a real production-style serverless architecture.

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Architecture Overview

User Browser
      ↓
CloudFront CDN
      ↓
S3 Static Website
      ↓
JavaScript API Call
      ↓
API Gateway (HTTP API)
      ↓
AWS Lambda (Python)
      ↓
DynamoDB

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Repository Structure

cloud-resume-backend
│
├── lambda
│   └── visitor_counter.py
│
├── terraform
│   └── main.tf
│
└── docs
    └── system-overview.md

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Backend Components

AWS Lambda

The visitor counter is powered by a Python Lambda function that increments a value in DynamoDB each time the website loads.

Amazon DynamoDB

DynamoDB stores the total visitor count using a simple key-value structure.

Example record:

{
  "id": "views",
  "count": 123
}

Amazon API Gateway

API Gateway exposes a public HTTP endpoint used by the website’s JavaScript to retrieve and update the visitor count.

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Technologies Used

• AWS Lambda (Python)
• Amazon DynamoDB
• Amazon API Gateway
• Amazon S3
• Amazon CloudFront
• Route 53
• GitHub
• Terraform (Infrastructure as Code – in progress)

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Purpose of This Repository

This repository contains the backend logic and infrastructure for my Cloud Resume Challenge project. It demonstrates several real-world cloud engineering concepts:

• Serverless architecture
• API integration
• Infrastructure as Code
• Cloud security best practices
• CI/CD workflows

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Related Repository

The frontend website is located here:

Frontend Repository https://github.com/jlayman09/Layman_CloudResumeWebsite

This repository contains the static website, frontend code, and CI/CD pipeline used to deploy the site to AWS.

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Future Improvements

• Import existing AWS infrastructure into Terraform
• Email contact form using AWS Lambda
• CloudWatch monitoring and alerts
• Security hardening for the API endpoint