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Performance and scalability

Red Hat Enterprise Virtualization allows even the most demanding application workloads to be virtualized with features, including:

  • Up to 95-140 percent performance relative to bare metal for real-world enterprise workloads like SAP, Oracle, and Exchange
  • More than one million messages per second on a single server with low latency
  • Consolidation ratios of more than 400 virtual machines with enterprise workloads running on a single server.

The performance and scalability is unparalleled and features the ability to:

  • Exceed bare metal performance: server deployments provide scalable enterprise application workloads with up to 95 percent or more of the bare metal performance of a single server. Achieve higher than bare metal performance for applications that are not optimized or engineered to scale to today's high number of cores and memory.
  • Provide high I/O and low latency: The Red Hat Enterprise Virtualization Hypervisor with Kernel-based Virtual Machine (KVM) technology has achieved over one million messages per second on a single virtual server, robust Microsoft Exchange performance, and high I/O throughout in Oracle database workloads.
  • Consolidate to fewer physical servers: Red Hat Enterprise Virtualization can consolidate higher numbers of functional enterprise workloads on a single physical server.

Red Hat Enterprise Virtualization for Servers and your enterprise applications

Find out more about performance of the applications and workloads running on Red Hat Enterprise Virtualization:

  • SAP: Up to 95 percent of bare metal performance and linear scaling of multiple VMs.
  • Oracle: Up to 93 percent of bare metal performance with great scalability.
  • LAMP: For Apache webserver workloads, up to 139 percent of bare metal performance with great scalability.
  • Microsoft Exchange: Exchange workloads show low latency under high load, and scale out efficiencies on a single server.
  • Java: Up to 92 percent of bare metal performance, near linear scalability of Java server-based application workloads.