Organizations must balance the need for fast virtual machine (VM) migrations with predictable, low-risk execution. Red Hat has released the general availability (GA) of storage offload migrations in the migration toolkit for virtualization 2.11, included in Red Hat OpenShift. This update allows you to migrate with speed and confidence. 

Migrate with speed: Storage offloading is now generally available

Storage offload migrations are now generally available to help you move critical VM workloads quickly with minimal downtime. This feature uses your existing storage systems for smoother migrations. While traditional migrations move data over the IP network, storage offloading transfers this work to the underlying storage array. 

Bypassing the network eliminates the bandwidth constraints that slow migrations. Internal testing conducted by Hitachi shows that these migrations can run up to 10 times faster than traditional network migrations (actual results may vary by environment). A 10-hour migration window can potentially be reduced to just one hour, which preserves your network for production traffic and significantly reduces the migration timeline.

Flexibility and choice throughout your migration

You can still choose how to conduct your migrations through storage offloading. Use a cold migration for non-critical workloads that require simplicity. Use a warm migration to copy data while the VM remains running, with a brief shutdown period to complete the migration. The migration toolkit for virtualization 2.11 also introduces support for additional certified partners like Infinidat and IBM to give you more options for your migration.

How to get started with storage offload migrations

Follow these steps to use storage offloading and kickstart your migrations. For a more detailed view, review the demo walkthrough and interactive experience.  

1. Create a migration plan

In the Red Hat OpenShift console, navigate to the Migration plans section. Give your plan a name and select your source provider, such as vSphere, and your target provider (the destination for your VM).

The Create migration plan screen with source and target providers selected.

2. Choose your VMs

Select the specific VMs you want to migrate. You can select one or more VMs to move in a single plan.

Selecting VMs to migrate in the OpenShift console.

3. Map your networks and storage

This is the most important step for storage offloading.

  • Network map: Select the appropriate network map to ensure your VM lands on the correct network in OpenShift.
  • Storage map: Map your source datastore to a storage class that supports offloading, such as those from Hitachi, Pure, NetApp and Dell. This tells the migration toolkit for virtualization to trigger an array-level copy instead of a network stream.
Mapping networks and storage to a certified offload storage class.

4. Execute and complete

Once you create the plan, you can begin the migration. Monitor the status in the UI. When the migration is complete, the VM appears in the Red Hat OpenShift Virtualization console. Storage offloading saves time by using existing resources without overwhelming your network.

Starting the migration progress.

Additional updates

The migration toolkit for virtualization 2.11 includes additional updates designed to make your migration journey smoother. For a deep dive, check out the full release notes here

Enhanced learning experience

The migration toolkit for virtualization helps you learn through research-backed content integration and a guided interaction experience for complex tasks. The Tips and Tricks section of the console expands the migration toolkit 2.10 release with more learning resources and guides for yourmigration journey, accessible directly in the console.

Plan your storage offload migration

Red Hat OpenShift Virtualization and storage offloading provide a faster, more predictable way to modernize your infrastructure or complete active migrations. With Red Hat's migration toolkit for virtualization 2.11, you can use storage from partners such as Hitachi, Pure, NetApp, Dell, and more to move data at the storage layer. This approach reduces your migration windows and preserves network bandwidth for production traffic.

Learn more:


About the authors

Carolyn May is a Product Marketing Manager at Red Hat, specializing in OpenShift, the leading hybrid cloud application platform powered by Kubernetes. With a background in sales, Carolyn spearheads initiatives aimed at highlighting the value of OpenShift.

Jochen has been working in IT for more than 30 years and has been turning customer problems into technical solutions as a product manager for more than 15 years. For the past 2 years, he has been part of the Virtualization Product Management Team at RedHat.

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