Maximizing Cloud Value with Red Hat OpenShift Service on AWS
In this blog, we will learn how to maximize cloud value with Red Hat OpenShift Service on AWS.
As enterprises modernize legacy virtualization platforms and plan long-term cloud strategies, cost transparency, operational simplicity, and workload flexibility have become critical decision factors. Many organizations are seeking alternatives that reduce dependency on proprietary virtualization stacks while enabling a smoother path to cloud-native and AI-ready architectures.
Rising virtualization expenses, restrictive licensing models, and growing operational overhead are pushing organizations to reconsider how they move workloads to the cloud. Red Hat OpenShift Virtualization, running on Red Hat OpenShift Service on AWS (ROSA), enables hardware overcommitment in the cloud, making it possible to run a higher density of virtual machines on fewer cloud resources. By matching resource allocation more closely to real-world usage, teams can lower compute spend while consolidating VM environments and improving overall cloud ROI.
Organizations can further optimize costs by leveraging AWS purchasing options. ROSA supports flexible pay-as-you-go pricing, existing AWS committed spend agreements, reserved instances, savings plans, and unified billing. These models allow OpenShift usage to align with financial planning goals, helping convert Red Hat software subscriptions and managed site reliability engineering (SRE) services into predictable and manageable operating expenses.
Improved operational efficiency
Beyond cost savings, ROSA simplifies operations. The service is jointly delivered and supported by Red Hat and AWS, with Red Hat SRE teams handling daily operational tasks such as cluster upgrades, health monitoring, scaling, and incident management. By removing the burden of infrastructure operations, teams can redirect effort toward application development and innovation, accelerating time to value.
ROSA also delivers flexibility for AI and GPU-enabled workloads. Instead of maintaining costly on-premise GPU infrastructure, organizations can provision GPU instances on demand for specific projects and pay only for the resources they use. This approach minimizes upfront capital investment while ensuring GPU capacity is efficiently utilized.
By unifying virtual machines, containerized applications, and AI/ML workloads on a single platform, OpenShift helps organizations streamline infrastructure and reduce complexity. A consistent application platform lowers operational sprawl, improves resource utilization, and drives down per-workload costs as environments scale.
