Scalable Event Driven Architectures for High Throughput and Low Latency in Distributed Cloud Environments
Abstract
Event-driven architectures (EDAs) have emerged as a cornerstone for building scalable and efficient distributed systems, particularly in the cloud computing landscape. Achieving high throughput and low latency is paramount for modern applications requiring real-time responsiveness and dynamic scalability. This paper explores critical advancements, challenges, and practical implementations of EDAs in cloud environments. It emphasizes mechanisms that enable elasticity, resilience, and performance optimization while discussing trends in serverless computing, message brokers, and event sourcing. A comprehensive literature review of original studies published before 2024 is presented to support the analysis, supplemented by empirical data through tables, graphs, and charts. The paper concludes by identifying future directions for evolving event-driven models toward even greater scalability and efficiency.