Cloud-Based Digital Twins: Revolutionizing Endpoint Infrastructure Management (Published)
This article explores the emerging paradigm of cloud-based digital twins for endpoint infrastructure simulation, which represents a significant advancement in enterprise IT management. In today’s complex enterprise environments characterized by distributed workforces and diverse device ecosystems, organizations face mounting challenges in managing endpoint infrastructure securely and efficiently. Digital twins—virtual replicas of physical endpoint environments—enable IT teams to conduct comprehensive testing of updates, security controls, and configuration changes before deployment to production systems. The article examines the technical architecture underpinning these systems, including data collection mechanisms, simulation engines, orchestration layers, analytics frameworks, and recommendation systems. It details the structured workflow through which organizations can systematically evaluate proposed changes, from initial environment modeling through to deployment strategy development. Current implementations demonstrate compelling value across multiple use cases, including software update testing, ransomware response simulation, and compliance policy optimization. Beyond technical capabilities, digital twins deliver substantial business value through risk reduction, accelerated deployment cycles, resource optimization, and improved security postures. The article concludes by exploring future directions, including integration with DevOps pipelines, expanded behavioral modeling, and cross-environment simulation.
Keywords: Cloud-Native Architecture, Digital twin, cybersecurity resilience, endpoint management, infrastructure simulation