TORONTO--(BUSINESS WIRE)--Cirba Inc., the leading provider of software-defined infrastructure control solutions, today announced Andrew Hillier, co-founder and CTO, will present a session regarding why software-defined infrastructure requires an analytics-driven control plane at the Gartner Catalyst Conference on Monday, August 10. This presentation is part of the company’s silver sponsorship of the conference, which will be hosted August 10-13 at the Manchester Grand Hyatt in San Diego, Calif.
As organizations look to go live with the software-defined data center, it’s critical to understand how tearing down the traditional barriers that restrict workload placement and resource allocation can significantly impact environments in unexpected ways, both good and bad. Understanding this context puts organizations on the path to successfully achieving software-defined.
In this session, Cirba will explore how an analytics-driven control plane helps establish order and gain control when introducing software-defined networking (SDN) and software defined storage (SDS) to an organization’s IT infrastructure. In addition, an analytics-driven control plane can help harness the power of greater workload mobility to densify infrastructure in ways that were previously impossible. With these best practices in place, organizations can feel confident in taking advantage of the latest advancements in software-defined technologies.
San Diego, Calif.; August 10-13, 2015
- Cirba Booth Number: 104
- Session Title: Why Software-Defined Infrastructure Requires an Analytics-Driven Control Plane
Speaker: Andrew Hillier, co-founder and CTO, Cirba
- Monday, August 10, 12:20-12:40 p.m. PT
For more information, or to learn about Cirba, please visit http://www.cirba.com.
About Cirba Inc.
Cirba has re-imagined infrastructure control for the software-defined era.
We’re enabling the world’s most successful organizations to scientifically balance infrastructure supply and application demand—creating a demand-driven approach to infrastructure management that maximizes efficiency and cost-savings while reducing risk.