International Journal on Science and Technology

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Optimizing Scalability and Decoupling with Event-Driven Architecture: A Cross-Industry Analysis and A Comparative Perspective

Author(s) Laxman Rao Vattam
Country United States
Abstract Event-driven architecture (EDA) facilitates the efficient generation and processing of events, which signify changes in system states. This architectural paradigm enhances the flexibility of system interactions, streamlines cross-system processes, and enables near real-time updates. In an event-driven model, events are produced irrespective of whether consumers are actively listening, and consumers do not send acknowledgments upon receipt. The key components of EDA include event producers, event consumers, event channels, event messages, and events themselves. EDA is particularly beneficial for large-scale distributed systems as it eliminates direct dependencies between event producers and consumers, simplifying system interactions. This paper presents a comparative analysis of various EDA models, their applications across industries, and their advantages in promoting scalability while reducing system coupling. Although various event-driven architectures are examined, the primary focus of this article is on Salesforce Event-Driven Architecture and its applications.
Keywords Salesforce, Even Driven, Publish, Subscribe, Change Data Capture, CDC, Platform Events, Apache Kafka, RabbitMQ
Field Computer Applications
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-04
Cite This Optimizing Scalability and Decoupling with Event-Driven Architecture: A Cross-Industry Analysis and A Comparative Perspective - Laxman Rao Vattam - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2190
DOI https://doi.org/10.71097/IJSAT.v16.i1.2190
Short DOI https://doi.org/g869xc
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