Page 75 - Red Hat PR REPORT - JULY 2024

AI-enabled applications and edge applications, that allow for insights to be delivered
more quickly wherever they are needed. The technology decisions made today around
these applications, and more are often in support of setting organizations up for an AI
and edge-focused future. However, it’s not as simple as purely adopting the latest AI
technology, as those systems and platforms also need to run in harmony with critical
traditional applications and infrastructure like virtualized environments.

The latest enhancements to Red Hat OpenShift are designed to help organizations
connect their disparate, diverse workloads and create a more consistent management
and deployment experience, wherever an application lives across the hybrid cloud and
regardless of whether the application is a traditional workhorse or built to harness
AI innovation.

A modern option for virtualization

As the virtualization landscape continues to evolve, many organizations are looking to
migrate existing virtualized workloads to a platform that can run virtual machines (VMs)
side-by-side with modern containerized applications and serverless functions with the
ability to modernize those VM-based applications when needed. Red Hat is now offering
directly and through its partners a Virtualization Migration Assessment that will take
organizations through a risk assessment methodology to help determine the best path
forward for migration away from a legacy virtualization solution.

The latest enhancements in Red Hat OpenShift for virtualization use cases help further
simplify migrating and modernizing virtualized workloads. New features include:

• Metro disaster recovery provides regional disaster recovery for virtual
machines (VMs) that use storage deployed on Red Hat OpenShift Data
Foundation in conjunction with Red Hat Advanced Cluster Management for
Kubernetes for management.

• Hot-add CPU provides users the ability to add additional vCPU resources to a
running VM in a declarative manner for improved memory density with safe
memory overcommit, and enables users to more easily scale up VMs with CPU
hotplug.

• Multi-cluster virtualization monitoring with Red Hat Advanced Cluster
Management enables users to view all VMs across multiple Red Hat OpenShift
clusters as well as collect and more quickly build reports for the VMs.
Improving the customer experience at the edge

Minimizing service downtime is paramount to delivering a quality experience for
customers and is particularly important for those applications at the edge. To enhance
service quality at the edge, Red Hat OpenShift 4.16, introduces a “shift left” approach
with image-based updates (IBU) for single node OpenShift. Single node OpenShift
users can now shift a large portion of the update process to a pre-production

https://integratormedia.com/2024/07/23/red-hat-simplifies-workload-diversity-across-the-hybrid-
cloud-with-latest-version-of-red-hat-openshift/