Enhancing High Throughput Business Applications Through Event Driven Microservices and Distributed Data Architecture Models
Keywords:
Event-Driven Architecture, Microservices, Distributed Data, High Throughput, CQRS, Event SourcingAbstract
Traditional monolithic architectures often struggle to meet the scalability and low-latency demands of modern high-throughput business applications. This paper explores the synergistic integration of event-driven microservices and distributed data architecture models as a strategic solution. By decoupling service communication through asynchronous events and distributing data across polyglot persistence stores, systems can achieve superior resilience, elasticity, and throughput. We analyze core principles, data consistency challenges, and real-world deployment patterns, providing a comparative analysis and architectural diagram. The findings suggest that while operational complexity increases, the benefits in scalability and fault tolerance are indispensable for businesses operating at web scale.
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Copyright (c) 2025 Williams Markel (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
