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Event Driven Architecture (EDA) – Optimizer or Complicator

Abstract

This article explores the practical realities of Event-Driven Architecture (EDA)—a paradigm often celebrated for its scalability, responsiveness, and flexibility in modern software systems. Drawing from years of hands-on experience with technologies like Kafka, RabbitMQ, and AWS SNS, I present a balanced view of EDA’s benefits and pitfalls. The article delves into its core advantages, including loose coupling, asynchronous processing, real-time responsiveness, and extensibility, and aligns it with complementary approaches like Domain-Driven Design. At the same time, it sheds light on lesser-discussed challenges such as observability gaps, schema versioning, testing complexity, event duplication, and message sequencing. Real-world success stories from companies like Netflix and Walmart illustrate its potential, and I would also like to emphasize the importance of guardrails, error-handling patterns, and security best practices to build resilient systems. Ultimately, this article advocates for a thoughtful, problem-first approach to adopting EDA and highlighting that, while it can optimize systems at scale, it must be applied judiciously to avoid unnecessary complexities. 

Introduction

Over the years I have used varied technologies and tools to build applications to meet customer or internal needs. I am a developer who has seen a transition from Titanic (water fall)  to Jet Ski (agile), from Gantt charts to stand ups and from giant bricks (Monoliths) to tiny boxes (Microservice). We are always riding the wave of technology. Every time we move to something new or more modern, it’s glorified. We put technology ahead of a problem sometimes.

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