Interview with Jerry Melnick, President and CEO of SIOS Technology

VSM: Please tell us about SIOS’ new machine learning-based IT operations analytics platform for virtual environments.
JM: SIOS iQ operations analytics platform is the first to broadly apply a big data/data mining approach to the problem of understanding and optimizing complex virtualized environments. Traditional approaches focus on recording and reporting discrete events, (e.g., CPU utilization exceeding a threshold) to identify a problem. With these approaches, complex or subtle issues often go unnoticed and IT staff are inundated with alerts without guidance for prioritizing, interpreting or correcting them. Instead, SIOS iQ uses advanced topological behavior analysis to look at patterns of behavior between interrelated objects (i.e., compute, application, storage, networking) and over time. This approach enables SIOS iQ to identify problems sooner and recommend the best solutions, filtering out the noise and alert storms typical in traditional approaches. Machine learning also eliminates the need to manually configure thresholds and continually adjust them to accommodate changes in the environment.


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