Serverless Image Processing with .NET on AWS using S3, SQS, and Lambda

Learn how to build a fully serverless, production-ready image processing pipeline on AWS using .NET. This guide walks through uploading images via a minimal .NET 9 Web API, triggering S3 event notifications to an SQS queue, and processing those events in a Lambda function using ImageSharp. You'll learn how to resize images into optimized thumbnails, upload them to an output S3 bucket, and monitor the workflow using CloudWatch. The architecture is event-driven, scalable, and cost-efficient - ideal for modern applications handling user-generated content.