A Digital Twin Framework for Enterprise IT Operations: Bridging Application Development, Infrastructure Management, Product Migration, and Operational Support

Abstract

Enterprise IT environments have become increasingly complex due to the rapid growth of cloud computing, microservices architectures, DevOps practices, hybrid infrastructures, and continuous product evolution. Traditional management approaches often operate in silos, creating challenges in application development, infrastructure management, product migration, and operational support. This paper proposes a comprehensive Digital Twin Framework for Enterprise IT Operations that establishes a dynamic virtual representation of enterprise technology ecosystems. The framework integrates real-time operational data, application lifecycle information, infrastructure telemetry, migration intelligence, and support analytics into a unified digital environment. By leveraging technologies such as artificial intelligence, machine learning, observability platforms, predictive analytics, and automation, the proposed framework enables continuous monitoring, simulation, impact analysis, capacity planning, risk assessment, and proactive decision-making across the IT lifecycle. The framework bridges the gap between development and operations by providing end-to-end visibility of applications, infrastructure resources, business services, and migration dependencies. Furthermore, it supports scenario-based testing, root-cause analysis, performance optimization, and predictive maintenance, reducing operational risks and improving service reliability. A conceptual architecture is presented to demonstrate how digital twin capabilities can enhance collaboration among development, infrastructure, migration, and support teams while increasing organizational agility and operational resilience. The study contributes a unified approach to enterprise IT management and highlights the potential of digital twins as a strategic enabler for intelligent, data-driven IT operations.