SCALABLE MIDDLEWARE INTEGRATION MODELS FOR ENTERPRISE DIGITAL TRANSFORMATION

Abstract

Enterprise digital transformation requires continuous smooth convergence of heterogeneous systems, data, and services in progressively more complicated and distributed IT landscapes. Middleware is at the center of making this integration possible, by providing abstraction of complexity, interoperability, as well as scalable communication among enterprise applications. Nevertheless, the classical middleware architectures are incapable of handling the scalability, flexibility and agility scalability demanded by cloud computing, microservices, and real-time data processing. The current paper describes an extensive literature review of scalable models of middleware integration in the enterprise digital transformation framework. It discusses the history of middleware technologies, notable integration architectures, like Enterprise Service Buses, Integration Platform as a Service, platform-independent microservices middleware, and AI-enhanced middleware, and compares their features in terms of scalability, flexibility, and efficiency. Other new trends found by the review are cloud-native integration, event-driven middleware, and intelligent self-managing systems. By using comparative analysis, figures, and tables, the study identifies the limitations and strengths of current models, as well as the research gaps on the area of interoperability, security, governance and skill preparedness. It highlights the findings that scalable, clever, and interoperable architectures of middleware are requisite to support hybrid and multi-cloud enterprises. The review offers useful information to researchers and practitioners aiming at designing, evaluating, and adopting the middleware solutions that can optimally support the digital transformation initiatives in the enterprise.