Test Center Daily | InfoWorld Staff » NetScout nGenius Analytics aims to intelligently diagnose network ailments



May 01, 2006 | Comments: (0)

NetScout nGenius Analytics aims to intelligently diagnose network ailments

With an eye toward SOA and VOA, NetScout Systems this week at Interop will announce nGenius Analytics, designed to proactively diagnose applications and networks for problems before they hinder performance.
nGenius Analytics automatically learns networks' behavior patterns, as soon as four days after being set up, and identifies performance anomalies without requiring admins to invest hours into manual configuration and threshold-setting, according to Westford, Mass.-based NetScout.
"The task of accurately identifying and manually diagnosing performance issues will intensify as service-delivery infrastructures become more interdependent with the deployment of n-tier applications, Web services, and SOA," said Jeffrey Nudler, senior analyst at analyst firm Enterprise Management Associates. "To maintain high IT service levels as a result of these looming changes, operations teams will have to deploy technologies enabling granular flow metrics and automated analysis that NetScout is offering with nGenius Analytics."
The nGenius Analytics approach will reduce the number of false alerts sent to IT teams and complaints from end-users, according to the company. In a 2005 survey of IT professionals by Enterprise Management Associates, only 18 percent of respondents reported receiving alerts of application problems prior to notification by a customer or user.
The product ties in to NetScout's Application Fabric Performance Management (AFPM) strategy, aimed at helping enterprises optimize and protect services within the emerging distributed, virtualized architectures, such as SOA and VOA.
Priced at $65,000, nGenius Analytics Version 1.1 is delivered on an appliance and is currently available to complement deployments of NetScout's nGenius Performance Management System.

Posted by Ted Samson on May 1, 2006 03:00 AM


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