Marketing description

HPE Matrix Operating Environment, which includes HPE Insight Control, is at the core of the HPE CloudSystem Matrix, an infrastructure as a service (IaaS) solution for private and hybrid cloud deployments, built on proven HPE Converged Infrastructure technologies. It is available for both HPE ProLiant and HPE Integrity servers as well as for provisioning third party x86 virtual machine environments.

Product features

• Reduce costs
  HPE estimates that the software can reduce the cost of common data center tasks by as much as 40 percent 3, thereby lowering costs associated with capacity planning, provisioning, upgrades and changes, and energy.
• Increase the speed of change
  By reducing steps for key tasks, you can accelerate key technology projects. For instance, moving a workload from one server to another with a simple drag and drop takes minutes while traditional approaches can take days and often require extensive coordination between server, storage, networking, and facilities groups.
• Improve quality
  Matrix OE enables you to provide high availability and maintain quality of service levels more cost effectively than traditional clustering. By redeploying logical servers easily in the event of hardware failure, you can enjoy fast protection, which was previously unaffordable.
• Manage energy
  Matrix OE helps you compare the energy consumption of different data center configurations easily. Matrix OE gives you the hard data you need to make the most of your energy consumption.
• Provision infrastructure in minutes
  Matrix OE lets you build a complete infrastructure environment ready for your applications in minutes-by automating the provisioning of virtual and physical servers with their storage and networking connections. A complex application infrastructure can be up and running in minutes, rather than weeks or months.
• Improve infrastructure confidently
  HPE Matrix OE provides deep insight into your infrastructure and lets you quickly adjust your environment over its lifecycle, so that you can predictably make changes without time-consuming analysis. Key data points like power, CPU, memory, and network utilization are captured every five minutes (more than a thousand data points per server per day) and are used to generate best-fit consolidation scenarios that fit right.