Image Resizing with AWS Lambda

This section demonstrates how to implement serverless image resizing using AWS Lambda. We’ll create a Node.js Lambda function that automatically processes images uploaded to an S3 bucket, resizes them according to specified dimensions, stores the optimized images in a destination bucket, and efficiently manages the original files.

Architecture Overview

The solution uses modern AWS services to create a scalable, cost-effective image processing pipeline:

  • AWS Lambda with Node.js runtime
  • Amazon S3 for original and processed image storage
  • AWS IAM for secure access management
  • Amazon CloudWatch for monitoring and logging

Implementation Steps

  1. Creating a Lambda Function with Node.js

    • Setting up the execution environment
    • Implementing image processing logic
    • Configuring memory and timeout settings

  2. Configuring S3 Buckets

    • Source bucket for original images
    • Destination bucket for processed images
    • Setting up event notifications

  3. Implementing IAM Policies

    • Configuring S3 access permissions
    • Setting up execution roles
    • Implementing least privilege security

  4. Testing and Validation

    • Verifying the image processing pipeline
    • Monitoring performance metrics
    • Troubleshooting common issues