A Unified Microservices Architecture for Enterprise HR Systems: Integrating Cognitive RPA and Cloud-Based HCM
Keywords:
Microservices, Robotic Process Automation, Human Capital Management, Cloud Architecture, Digital HRM, DevOps, CI/CD.Abstract
Cloud ERP systems are increasing the enterprise HRM systems limits to provide real-time insights into their workforce, scale and compliance whilst keeping costs under control. Today's platforms are still fragmented in architecture, having multiple scattered automation tools, cloud modules and legacy monolithic cores. This paper suggests an overall design of this integration based on microservices decomposition, cognitive RPA and HCM cloud platforms where they become a part of a streamlined and logical operating model. A 4 Layer Architecture is given which encompasses Service Decomposition, Automation Integration, Data Governance & Deployment Infrastructure. The proposed design got analyzed using quantitative performance models, formulas for scalability and empirical ones from literature. The results show that there is a unified architecture's deployment latency that can decrease by 40-60%, the process throughput for HR work that can increase by almost 35%, and the HR operational overhead linked to benefits administration can be reduced by 52% in comparison to traditional fragmented architectures. The paper also outlines parameters of migration, security restrictions and governance issues at an enterprise level.
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