Predictive Analytics Make Their Way to Enterprise Networks

Netuitive says its predictive algorithms will provide enterprise network managers with the ability to make better decisions.

 By Drew Robb
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Predictive analytics has been around for a while and is applicable in several forms, most notably in business intelligence (BI) where you see it applied in areas such as Web traffic and consumer data analysis. It can also be applied to IT operations such as networking.

"Predictive analytics for IT is about understanding vast amounts of real-time data to forecast performance issues before they affect users," said Daniel Heimlich, vice president at Netuitive.

"It is powered by behavior learning technology which is a math-based approach that involves advanced statistical analysis and algorithms."

Netuitive, for example, has built a predictive analytics software platform based upon its nine behavior learning patents. It sits on top of the enterprise IT infrastructure stack where it collects and analyzes data in real-time from monitoring tools from vendors such as BMC, IBM, NetApp, CA, HP, VMware, Microsoft, Oracle and Compuware. Heimlich said this enables end-to-end monitoring and management of complex infrastructures with a very small footprint in terms of storage and computing resources.

Virtualization Heightens Analytic Needs

A greater analytic approach is needed these days, particularly in light of the rise of virtualization. This has changed the conventional IT systems management game. The inherent dynamics of virtualization made traditional base-lining and rules-based approaches to systems management far more challenging, if not obsolete, especially in large heterogeneous environments.

"Virtualization and cloud environments allow little visibility into resource utilization and root cause analysis, causing great concern for application owners," said Heimlich. "While it has been around for years, it was not until the advent of virtualization that it found its home."

Now virtualization is moving up to the next level. Cloud computing has seized upon virtualization to propel IT towards the vision of IT as a Service (ITaaS). As organizations virtual more and more resources, they can move towards the virtualization of all the services IT provides based upon a cloud model. And since virtualization underpins most cloud solutions, the role and benefits of predictive analytics as the basis for management in the cloud are the same.

"But as the nature of the virtualized environment becomes even more dynamic, complex and real-time in the cloud, the benefits of IT analytics become even more dramatic," said Heimlich.

This article was originally published on Dec 15, 2010
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