Virtualization Growth Drives Demand for Stronger OpenShift Data Protection
Red Hat and NetApp are tightening their collaboration around OpenShift data protection as enterprises scale virtual machine estates alongside containers. Citing Red Hat’s State of Virtualization Report, NetApp highlights that 90% of organizations see virtualization as an innovation enabler, while 71% have more than half of their infrastructure virtualized. This expansion, fueled by data-intensive workloads and AI initiatives, is pushing traditional backup strategies to their limits. Full-disk VM scans extend backup windows and make recovery timelines unpredictable, especially in Kubernetes-centric environments like Red Hat OpenShift Virtualization. As organizations consolidate VM and container operations under OpenShift, they need predictable recovery point and recovery time objectives without ballooning storage or compute overhead. The latest NetApp–Red Hat collaboration is aimed squarely at this gap, combining Kubernetes-native tooling, intelligent data infrastructure, and hybrid cloud consistency to modernize how enterprises protect virtualized workloads.
Incremental-Forever Backups Bring Predictable Kubernetes VM Recovery
A centerpiece of the update is NetApp Backup and Recovery for Red Hat OpenShift and OpenShift Virtualization, which rethinks Kubernetes VM backup around incremental-forever operations. Instead of repeatedly scanning entire VM disks, the service uses Change Block Tracking to identify and protect only altered blocks. This approach cuts backup duration, lowers compute overhead, and preserves storage efficiencies by avoiding data rehydration during backup jobs. For OpenShift administrators, the tooling adds deeper automation, supporting VM-granular protection policies and recovery workflows that align with how virtualized applications are actually deployed. Resource transformation features are designed to accelerate restores by mapping recovered VMs to appropriate resources in the target environment. The result is more predictable backup behavior and clearer recovery planning as OpenShift-based VM environments grow, helping teams maintain consistent service levels even as data volumes and workload counts increase.
Hybrid Cloud Disaster Recovery-as-a-Service for OpenShift Virtualization
Beyond backup, NetApp is extending its protection strategy into hybrid cloud disaster recovery for OpenShift Virtualization. The public preview of NetApp Disaster Recovery support for Red Hat OpenShift and OpenShift Virtualization introduces a DR-as-a-service model tailored to Kubernetes-based VMs running on ONTAP storage. Instead of building custom scripts and complex orchestration, OpenShift operators get guided failover and failback workflows that streamline disaster response. This is particularly relevant for hybrid cloud disaster recovery scenarios where workloads may span on-premises clusters and public cloud environments. By orchestrating recovery for virtualized workloads in a consistent way, the service aims to reduce operational risk and improve recovery predictability. It also addresses the need for simpler, lower-cost disaster protection at scale, giving organizations a clearer path to safeguard OpenShift-hosted virtual machines without overhauling their entire infrastructure stack.
Cloud-Native Storage and Trident Parallelism Boost Operational Scale
The collaboration also targets operational scalability for OpenShift deployments running in public clouds. Google Cloud NetApp Volumes and the Trident CSI driver are now available with certified support for Red Hat OpenShift Dedicated on Google Cloud, enabling organizations to run both VMs and containers on a managed OpenShift service backed by NetApp storage. This supports consistent data services across hybrid environments and simplifies moving or extending virtualization capacity into the cloud. NetApp has further enhanced Trident, its Kubernetes storage orchestrator, with a new parallelism capability for Amazon FSx for NetApp ONTAP and Google Cloud NetApp Volumes. By executing storage operations concurrently in the controller instead of serially, Trident reduces bottlenecks and improves scale-out behavior. Combined, these capabilities help OpenShift teams manage large VM and container estates more efficiently, reinforcing the NetApp–Red Hat collaboration around enterprise-ready Kubernetes infrastructure.