November 15, 2012
BURLINGTON, Mass., Nov. 15 – VMTurbo, the leading provider of intelligent workload management software for cloud and virtualized environments, today announced that it is gaining traction in the education sector, as more universities and higher education organizations turn to VMTurbo Operations Manager to ensure peak performance, increase utilization, and drastically reduce operating costs. Addressing the need for automated decision-making to specify and implement actions that reduce resource contention and prevent performance issues, VMTurbo is providing these institutions with a solution for the multi-faceted issues that arise when managing large, multi-site data centers that run a wide-range of applications.
“As more universities rely on virtualized and cloud environments to operate their massively complex and dynamic infrastructures, the need for an innovative operational approach to automate and control these environments is at an all-time high. The constant, real-time coordination between operational teams to identify, diagnose and remedy issues is too labor-intensive to scale,” said Lauren Whitehouse, director of product marketing at VMTurbo. “Our success with higher education validates the difficult workload management challenges we address and solve for IT.”
VMTurbo has been deployed by a number of well-known organizations including London School of Economics (LSE), Northeastern University, Saarland University, East Carolina University, the University of Bielefeld, Edith Cowan University, Lane Community College, Washington University in St. Louis, and Indiana University. LSE, an acclaimed specialist university with an international intake and a global reach, turned to VMTurbo after its existing tools failed to ensure that applications were resourced effectively.
What Higher Ed Customers are Saying About VMTurbo
“At LSE, we have a fundamental belief in economics and to see VMTurbo apply the same principles in their approach to automating control across virtualized data centers made them a natural fit,” said Danny Simpson, systems specialist for IT services at LSE. “VMTurbo Operations Manager has given us the ability to better dictate how infrastructure resources are allocated to applications and workloads managed by our application and web teams. The market-based approach utilized in their analytic model automates the decision-making process across our virtual environment and has dramatically improved our ability to ensure performance, increase utilization and reduce operating costs.”
“What VMTurbo has over all the other vendors in this space that I’m aware of is their unique economic model, the way they look at things,” said Robert Reynolds, lead virtualization architect at Indiana University. “Instead of just pulling raw data out of VCenter on CPU use or memory use, they actually drill in and create an entire model which they also include in their planning tabs. That’s something that no other vendor really has to offer. Their approach is something really different and worthwhile.”
About VMTurbo Operations Manager
VMTurbo Operations Manager is the only solution on the market that understands application performance, resource utilization and capacity constraints in a virtualized data center, and is able to automatically adjust allocation to ensure service based on priority. Since its initial release, more than 8,000 cloud service providers and enterprises worldwide have deployed the VMTurbo platform to gain greater control and prevent performance issues across their virtual infrastructure.
VMTurbo delivers an Intelligent Workload Management solution for cloud and enterprise virtualization environments. VMTurbo’s patent-pending Economic Scheduling Engine dynamically adjusts resource allocation to meet workload service levels and business goals. The VMTurbo platform first launched in August 2010 and since that time more than 8,000 cloud service providers and enterprises worldwide have deployed the platform, including British Telecom, Omnicare and L-3 Communications. Using VMTurbo, our customers ensure that applications get the resources they need to operate reliably, while utilizing infrastructure and human resources in the most efficient way.
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