VMTurbo delivers control to the Virtual Data Center IT stack

VMTurbo has announced the availability of Operations Manager 4.0. Its architecture consists of an extensible framework that includes VMTurbo’s patented analytic engine, with a number of plug-in modules. VMTurbo’s extensible platform enables control across all layers of the complex and interdependent IT stack, with the latest revision’s modules for storage and hybrid clouds.

“Server virtualization is forcing a transformation of data center management beyond the ad-hoc fragmentation and limitations of current systems,” said Paul Burns, president of Neovise. “When it comes to managing today’s virtualized workloads, what’s needed is coordinated control of the whole stack supporting virtualized applications, including automatic determination of the right mix of resources needed to meet workload requirements and business objectives, while operating for maximum ROI.”

Current technology teams, operational processes and management tools are typically partitioned along technology boundaries, often leading to fragmentation of processes, as well as decision-making that does not take the entire environment and all the constraints and interdependencies that exist within the environment into account. VMTurbo offers a modular architecture that enables increased visibility and holistic control of the infrastructure operations.

Optimizing Storage and Hybrid Cloud Environments
VMTurbo Operations Manager addresses the basic virtualized compute, storage, and converged fabric resources out of the box, and supports multiple hypervisors from a single instance. New extensions for storage and hybrid clouds now enable even greater control.

· Storage Extension (see attached release) – By extending control actions to the back-end of datastores via its storage resource controller, Operations Manager achieves more granular instrumentation to support better decision-making and control of storage and workloads.
· Hybrid Cloud Extension (see attached release) – Provides specific guidance regarding the “what, when and where” of running workloads in private, public, or combined cloud infrastructures, maximizing ROI of in-house resources while optimizing performance of virtual workloads.

“To maintain the health of the infrastructure, it’s imperative to understand the topological relationships and dependencies that are required to effectively drive intelligent decisions and actions within the IT environment spanning public and private clouds,” said Shmuel Kliger, founder and CTO of VMTurbo. “VMTurbo’s foundational framework and policy engine combined with component extensions address the IT stack above and below the virtualization layer, driving resource allocation and workload placement decisions that optimize efficiency and assure performance of virtualized workloads.”