Evolution of Cloud Architecture for Global Corporate Learning Management Systems

Abstract

The article examines the evolution of cloud architecture in global corporate learning management systems as a response to the expansion of workforce training across dispersed organizational structures, hybrid work settings, cross-border compliance regimes, and continuous reskilling demands. The study aims to explain how architectural change has transformed the LMS from a centralized training platform into a distributed enterprise infrastructure embedded in broader systems of organizational capability. Its relevance stems from the growing dependence of multinational firms on digital learning environments that support scalability, resilience, integration, governance, and data protection. The novelty of the article lies in its synthesis of workplace learning research, cloud migration studies, software architecture scholarship, and data governance literature into a single sociotechnical account of LMS development. The article shows that the transition from on-premises systems to cloud-hosted legacy platforms, SaaS solutions, and cloud-native service ecosystems reflects a structural redefinition of enterprise learning infrastructure. The main findings indicate that cloud-native architectures provide stronger selective scaling, fault isolation, integration with HR and business systems, and support for analytics- and AI-based learning functions, while security, privacy, tenant isolation, and regulatory compliance remain constitutive design conditions. This article will be useful for researchers in digital education and information systems, enterprise architects, LMS developers, and corporate learning strategists.