A Scalable Cloud Integration Framework for Front-End and Back-End Business Information Systems
Abstract
The increasing complexity of enterprise digital ecosystems demands scalable and secure integration between front-end user interfaces and back-end business information systems. Traditional monolithic architectures struggle to support the elasticity, interoperability, and real-time data synchronization required in modern cloud-enabled environments. This review examines state-of-the-art cloud integration frameworks, highlighting architectural paradigms such as microservices, API-driven connectivity, service-oriented integration, and event-streaming platforms. The paper evaluates the role of container orchestration, serverless computing, and hybrid/multi-cloud strategies in enabling horizontal scalability and seamless workflow automation. It further discusses integration middleware, enterprise service buses, and emerging cloud-native technologies that enhance performance, resilience, and maintainability across distributed systems. Challenges such as data governance, latency, security, API lifecycle management, and cross-platform compatibility are explored, alongside best practices for designing a scalable integration framework. The review concludes by proposing a conceptual cloud integration model that unifies front-end and back-end systems through standardized APIs, real-time data pipelines, and modular service abstractions to support agile, future-ready enterprise operations.
Keywords
Cloud Integration, Microservices Architecture, API Management, Distributed Systems, Enterprise Middleware, Scalability.
Citations
IRE Journals:
Taiwo Oyewole, Winner Mayo, Jolly I. Ogbole, Precious Osobhalenewie Okoruwa "A Scalable Cloud Integration Framework for Front-End and Back-End Business Information Systems" Iconic Research And Engineering Journals Volume 3 Issue 3 2019 Page 349-369 https://doi.org/10.64388/IREV3I3-1713062
IEEE:
Taiwo Oyewole, Winner Mayo, Jolly I. Ogbole, Precious Osobhalenewie Okoruwa
"A Scalable Cloud Integration Framework for Front-End and Back-End Business Information Systems" Iconic Research And Engineering Journals, 3(3) https://doi.org/10.64388/IREV3I3-1713062
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