Image Processing and Optimization on AWS

Introduction

In this lab, we will build an automated image processing solution using AWS Lambda with Node.js runtime. The application will automatically resize images when uploaded to Amazon S3, store the optimized version in a separate S3 bucket, and manage the lifecycle of original images.

Implementation Steps

  1. Setting up AWS Lambda Function

    • Creating Lambda function with Node.js 24.x runtime
    • Configuring environment and dependencies
    • Deploying image processing source code

  2. Creating Amazon S3 Bucket

    • Creating source bucket for original images
    • Creating destination bucket for processed images
    • Configuring policies and access permissions

  3. Setting up IAM Role and Policy

    • Creating IAM Role for Lambda function
    • Configuring policy to allow S3 access
    • Applying security best practices

  4. Testing and Validation

    • Testing the image processing workflow
    • Checking logs and monitoring
    • Verifying optimization results

Prerequisites

  • AWS account with full access permissions
  • Basic knowledge of AWS Lambda and S3
  • Understanding of Node.js and image processing

References