Engineering Resilient Datacenter Migrations: Automation, Governance, and Hybrid Cloud Strategies
Shravan Kumar Reddy Padur · International Journal of Scientific Research in Computer Science Engineering and Information Technology · 2017
Large-scale datacenter migrations represent one of the most complex undertakings in enterprise IT, demanding not only technical expertise but also rigorous coordination of infrastructure, applications, data, and operations across diverse and interdependent environments. Between 2000 and 2016, research and industry practice advanced considerably, beginning with foundational work on live virtual machine migration and resilient datacenter fabrics, and progressing toward cloud adoption frameworks, automation-driven provisioning, performance optimization, and disaster recovery planning that emphasized business continuity. During this period, enterprises also experimented with wave-based workload sequencing, hybrid architectures, and governance models that balanced risk with agility, while vendors introduced tools to accelerate large-volume data transfer, enforce security controls, and simplify compliance. This article synthesizes these state-of-the-art strategies as of 2016, illustrating the full lifecycle of migration phases, target architectural blueprints, and operational models with supporting diagrams, and positions them as foundational enablers of modern digital transformation—allowing organizations to achieve near zero-downtime cutovers, embed stronger resilience and security, and establish scalable hybrid-cloud infrastructures capable of supporting long-term innovation.