New Integration Enables Management of Multi-Hypervisor Environments
Netuitive, Inc today announced it has completed an enhanced integration with Microsoft Systems Center Operations Manager (SCOM) that adds Hyper-V monitoring to Netuitive’s predictive analytics software platform for virtualization and application performance management (APM). With this integration, Netuitive provides a single solution for managing the performance of Microsoft Hyper-V and VMware.
Netuitive’s predictive analytics platform, powered by its patented Behavior Learning EngineTM, allows enterprises to synthesize data streams from any monitoring and management source. It uses automated mathematics and statistical analysis to self-learn, forecast and resolve IT issues before they impact quality of service — without requiring manual rules, scripts or thresholds.
The addition of Microsoft Hyper-V further enhances Netuitive’s unique ability to enable end-to-end management of applications running in virtualized environments. It joins a growing portfolio of IT monitoring and management tools that can be analyzed by the Netuitive platform. This includes solutions from leaders such as VMware, CA, IBM, BMC, HP, NetApp, Oracle, EMC and others to monitor everything from virtual servers, to application or database servers, to end-to-end services.
This technology-agnostic approach provides seamless visibility and highly accurate analysis allowing ultimate flexibility in how enterprises deploy virtualization and APM strategies across their virtualized and cloud environments.
“Organizations shouldn’t have to buy a new management solution as their infrastructure changes and evolves,” said Nicola Sanna, CEO of Netuitive. “Companies are going to standardize on one hypervisor or have a combination of them. Netuitive delivers an open analytics solution that provides service-level management regardless of the underlying infrastructure.”
Netuitive provides predictive analytics software for IT. Netuitive replaces human guesswork with automated mathematics and analysis to forecast, identify and resolve IT performance issues before they impact quality of service.