Event-Driven Architectures for Real-Time Distributed Databases in Cloud Systems

Abstract

This article examines the implementation of event-driven architectures for real-time distributed databases in cloud systems. The article explores core components including event sourcing and Command Query Responsibility Segregation (CQRS), alongside key technologies such as Apache Kafka, Redis Streams, and AWS DynamoDB Streams. Through analysis of various architectural patterns and real-world applications in fraud detection and IoT systems, the article demonstrates how event-driven architectures enable organizations to achieve improved scalability, reliability, and performance in distributed environments. The article also addresses critical challenges in data consistency, scalability considerations, and system monitoring, providing insights into effective implementation strategies and best practices for modern cloud-based systems