Event-Driven Architecture: The Backbone of Real-Time Enterprise Integration

Event-Driven Architecture (EDA) has emerged as a critical paradigm for modern enterprise integration, enabling organizations to transition from traditional synchronous communication models to more responsive, decoupled systems. This comprehensive exploration begins by establishing the foundational elements of EDA—events, producers, consumers, and brokers—and contrasts these with conventional REST-based and batch processing approaches. The article examines how publish/subscribe messaging patterns serve as the backbone for scalable event distribution, while event sourcing and CQRS patterns provide powerful mechanisms for state management and specialized data access. Through real-world implementations in order processing, inventory management, and contract execution workflows, the article demonstrates the tangible benefits of event-driven systems. Technical considerations, including message broker selection, data integrity mechanisms, and schema evolution strategies, are explored in depth. The discussion culminates with resilience engineering practices for enterprise-scale event streams, covering observability, retry strategies, and scaling considerations for complex business processes like quote-to-cash workflows.

Authors

Publication Details

Journal
International Journal of Computational and Experimental Science and Engineering
Published
2025-09-30
DOI
https://doi.org/10.22399/ijcesen.3983
Primary Topic
Business Process Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Event-Driven Architecture: The Backbone of Real-Time Enterprise Integration

Siva Manikanta Venkatesh Nalam
International Journal of Computational and Experimental Science and Engineering
Business Process Modeling and Analysis
article

Event-Driven Architecture: The Backbone of Real-Time Enterprise Integration

Siva Manikanta Venkatesh Nalam
article en

Abstract

Event-Driven Architecture (EDA) has emerged as a critical paradigm for modern enterprise integration, enabling organizations to transition from traditional synchronous communication models to more responsive, decoupled systems. This comprehensive exploration begins by establishing the foundational elements of EDA—events, producers, consumers, and brokers—and contrasts these with conventional REST-based and batch processing approaches. The article examines how publish/subscribe messaging patterns serve as the backbone for scalable event distribution, while event sourcing and CQRS patterns provide powerful mechanisms for state management and specialized data access. Through real-world implementations in order processing, inventory management, and contract execution workflows, the article demonstrates the tangible benefits of event-driven systems. Technical considerations, including message broker selection, data integrity mechanisms, and schema evolution strategies, are explored in depth. The discussion culminates with resilience engineering practices for enterprise-scale event streams, covering observability, retry strategies, and scaling considerations for complex business processes like quote-to-cash workflows.

International Journal of Computational and Experimental Science and EngineeringVol. 11(4)
Openalex Percentile: Top 57%
Business Process Modeling and Analysis
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