Accelerating VM migration to Red Hat OpenShift Virtualization: Hitachi storage offload delivers faster data movement

Accelerating VM migration to Red Hat OpenShift Virtualization: Hitachi storage offload delivers faster data movement Red Hat OpenShift Virtualization: Migrate once, modernize at your own pace The data migration bottleneck Faster migration: From months to days How storage offload works Enterprise DR capabilities for OpenShift Virtualization Open source by design Getting started 15 reasons to adopt Red Hat OpenShift Virtualization About the author Simon Seagrave More like this Achieve more with Red Hat OpenShift 4.21 Shadow-Soft shares top challenges holding organizations back from virtualization modernization Keep exploring Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share If you're modernizing your virtualization infrastructure, you've probably discovered that migrating thousands of virtual machines (VMs) takes far longer than anyone anticipated. For IT leaders who haven't overseen a VM migration in a decade or more, this long timeline often comes as a surprise. What many assumed would take a few weeks can stretch into months or even years. This extended migration window creates compounding challenges. Organizations find themselves maintaining duplicate infrastructure: 2 sets of hardware, 2 license agreements, and 2 operations teams. The costs add up quickly. VM migrations carry operational risks, as well: the downtime required to move workloads from the legacy platform to the new environment directly impacts business operations. OpenShift Virtualization provides a path forward for organizations looking to move beyond traditional virtualization platforms. Rather than simply replacing one hypervisor with another, OpenShift Virtualization enables you to run and manage VMs on a modern, hybrid cloud-ready platform alongside containers and serverless workloads. A single migration provides a modern foundation, giving you the flexibility to adopt containers, automation, and AI capabilities on your own timeline. But for many organizations, the migration itself has been the barrier. Moving production workloads at scale requires careful planning, and the time required for data migration has slowed many modernization initiatives.