VMTurbo Product Data Sheets

Operations Manager Data Sheet

VMTurbo Operations Manager is a control system that drives virtualized and cloud environments to a perpetually healthy or “desired” state, assuring application performance while maximizing resource utilization. The solution continuously analyzes the real-time performance characteristics, resource capacity, system constraints and service level priorities across the virtual data center to determine, implement and adjust resource configurations and workload placement.

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Application Control Module Data Sheet

Implementing Operations Manager with its add-on Application Control Module supports virtualized applications at a more granular level. It discovers and controls resources for applications whether they are running in Windows, Linux or Java virtual machines, load-balanced application farms front-ended by Application Delivery Controllers (such as Citrix NetScaler), or other application types that can be customized through integration with VMTurbo’s APIs.

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Storage Control Module Data Sheet

Understanding the interdependencies between the virtualization and storage layers is critical in maintaining quality of service and driving utilization efficiency in virtual data centers. In fact, the majority of performance issues stem from storage-related constraints. VMTurbo Operations Manager with its add-on Storage Control Module focuses specifically on addressing these challenges – bringing the control initially created for virtual servers to the storage layer.

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Fabric Control Module

Fabrics such as Cisco UCS unify compute, network, virtualization and storage access into a single integrated architecture and form the foundation of a programmable infrastructure for today’s private clouds and virtualized datacenters, providing the backbone of converged infrastructure offerings such as VCE vBlock and NetApp FlexPod.  The VMTurbo Fabric Control module complements Operations Manager, ensuring that the fabric is kept in the desired state, so that workloads get the compute and network resources they need to perform reliably while maximizing the utilization of underlying fabric blades and ports.

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