Netuitive announced new virtualization management capabilities in its Netuitive Service Analyzer product. Netuitive Service Analyzer is a self-learning correlation software for managing performance of enterprise applications across mixed physical and virtual environments. 

Netuitive Service Analyzer has already earned acclaim for providing the only self-learning and continuously adaptive software for automating BSM. With new capabilities announced, customers can manage the performance of enterprise applications end-to-end, across distributed servers, databases and network systems – that are both physical and virtual. 

“While virtualization is being readily adopted for good reason, IT organizations are simultaneously creating yet another system silo to manage,” said Nicola Sanna, president and CEO at Netuitive. “Delivery of mission-critical applications relies on mixed infrastructures that span both physical and virtual domains and Netuitive provides the first performance management software to correlate across both.”

This announcement adds to Netuitive’s strategic push into the virtualization arena. Last year, the company shipped Netuitive SI for VMware, bringing to market the industry’s first self-learning and continuously adaptive management solution for virtualized servers.

“With virtualization mainstreaming itself from test lab to production, it is essential that IT organizations get a unified picture on how resources are being consumed. In complex environments that may employ a mix of physical and virtualized containers, getting silo’ed root cause analyses could easily delay remediation of fault conditions,” said Tony Baer, Senior Analyst with Ovum.

Built on nine patented technologies and techniques resulting from more than 20 years of academic and commercial research, Netuitive’s Real-Time Analysis Engine provides the underlying technology for Netuitive SI and Netuitive Service Analyzer.

Completely self-learning and continuously adaptive, this technology performs sophisticated statistical trends analysis and multi-variable correlation to  automatically determine normal system behavior, measure and forecast  deviations from the norm, and interpret symptoms for proper alerting and  diagnosis. When the software detects or forecasts behavior outside that range, Trusted Alarms are issued-- accurate and reliable indicators of impending performance problems.