Event-Driven Architectures for Modern HR Software: Patterns, Pitfalls, and Best Practices

Abstract

Modern Human Resource (HR) systems are increasingly required to be responsive, scalable, and adaptable to
dynamic organizational needs. Traditional monolithic and request-response architectures often struggle to meet
these expectations, especially in complex, event-rich domains such as onboarding, payroll processing, and
workforce analytics. This paper investigates the application of Event-Driven Architecture (EDA) as a
transformative approach to building flexible and real-time HR software systems. We propose a domain-specific
analysis of architectural patterns—including event notification, event sourcing, and choreography—and
implement prototype modules simulating core HR workflows using open-source tools like Apache Kafka and
RabbitMQ. Through empirical evaluation, we benchmarked these implementations against conventional
architectures across key performance metrics such as latency, fault tolerance, and system scalability.