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In this video, we walk through a real-world, scalable event-driven architecture on AWS, designed to handle high-volume data with reliability, fault tolerance, and efficiency. You’ll learn how an Amazon SNS topic fan-outs messages to multiple SQS queues, which then trigger AWS Lambda functions for asynchronous processing. This architecture helps teams build loosely coupled, scalable systems that maintain eventual consistency under heavy load. 📌 What you’ll learn in this video: How SNS broadcasts events to multiple consumers Using SQS queues to decouple services Triggering Lambda functions asynchronously Implementing Dead-Letter Queues (DLQ) for error handling Designing idempotent logic to prevent duplicate data processing Monitoring events using Amazon CloudWatch Optimizing costs with message batching Building systems that scale without tight dependencies This project serves as both a hands-on practical implementation and a design-pattern reference for cloud engineers preparing for real-world system design interviews. The explanation and structure of this video were created with the help of NotebookLM, ensuring a clear, logical, and well-organized technical flow. 🎯 Who is this video for? DevOps Engineers Cloud Engineers Backend Developers AWS learners preparing for interviews Anyone interested in event-driven architectures 👍 If this video helped you: Like the video Subscribe to DevOps Junior Comment if you want a hands-on demo or Terraform version