Predictive Analytics
The Game has Changed
Nicola Sanna, President & CEO, Netuitive
In the early 1980s, the first IT monitoring products came to market and there has hardly been any advancement since.
The inherent flaw with conventional monitoring tools and even newer analytics products is that they rely on human assumption.
These tools require administrators to program logic into their performance models through the use of rules and scripts.
While this has mostly been accepted as the industry norm, we are now in the midst of several transformations that make it impossible to stay on the same path while remaining competitive. First, there is the always-on enterprise — system slowdowns are no longer an inconvenience, they're a threat to business reputations, operations and the bottom-line. Second, there is the movement toward ITIL and business service management — operating IT as service delivery organizations rather than standalone system silos. And third, the rapid emergence of virtualization and cloud infrastructure, where performance management is even more complex than it was on the physical ones.
The increasing operational demands and complexity created by the always-on enterprise, cross-silo IT service management and virtualization are quickly making the antiquated rules-based tools completely unusable. While some improved products have emerged to address this challenge such as "event correlation," "dynamic thresholding" and "pattern matching" tools, Netuitive has made a leap forward with advanced predictive analytic approaches powered by patented Behavior Learning technologies.
Rather than depending on human guesswork, predictive analytics is a math-based approach which automatically analyzes and correlates thousands of system metrics in real-time to learn the normal behavior patterns of a given environment, provide an end-to-end service health dashboard, isolate root-causes and forecast degradations.
We encourage your thoughts, questions and comments on this and other analytics-based approaches to virtualization and cloud management.
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- Predictive Analytics
- Application Performance Management
- Virtualization
- Cloud Computing
- Management Team
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