Optimizing cloud spend with Red Hat OpenShift Service on AWS (ROSA)

Optimizing cloud spend with Red Hat OpenShift Service on AWS (ROSA) Increased efficiency Red Hat OpenShift Virtualization Engine | Product Trial About the author Courtney Grosch More like this Red Hat OpenShift Service on AWS supports Capacity Reservations and Capacity Blocks for Machine Learning DxOperator from DH2i is now certified for Red Hat OpenShift 4.19 SREs on a plane | Technically Speaking FAQ Analyst report E-book Webinar Documentation Browse by channel Automation Artificial intelligence Open hybrid cloud Security Edge computing Infrastructure Applications Virtualization Share Rising virtualization costs, licensing constraints, and operational complexity are driving teams to evaluate more flexible and cost-effective paths to the cloud. Red Hat OpenShift Virtualization, combined with Red Hat OpenShift Service on AWS (ROSA), supports hardware overcommit in the cloud, allowing customers to run more virtual machines (VMs) on fewer cloud resources. By aligning resource consumption more closely to actual usage patterns, organizations can significantly reduce compute costs. This provides a practical way to consolidate VM footprints and maximize the value of cloud investments. Customers can also take advantage of AWS buying programs to further improve cost efficiency. ROSA supports pay-as-you-go pricing, the use of existing AWS cloud committed spend agreements, reserved instances, savings plans and, of course, unified billing. These options offer multiple paths to align OpenShift consumption with financial planning strategies and help organizations convert Red Hat software and managed site reliability engineering (SRE) services into predictable, planned expenditures. Operational efficiency is another key benefit. ROSA is jointly supported by Red Hat and AWS, and Red Hat SRE teams manage the day-to-day operations of the service. This includes upgrades, monitoring, scaling, and incident response. Offloading these activities can help reduce infrastructure management efforts and free teams to focus on delivering applications, accelerating time to value. For organizations adopting AI and GPU-accelerated workloads, ROSA offers additional scalability and cost advantages when compared to on-premise environments.