Webinar: Unleashing the Power of Machine Learning: Faster, More Accurate IT Operations Analytics

Now that virtualization is a must-have across all modern IT shops, data center operations require comprehensive, real-time insights in order to manage these high-performance production environments.

First-generation operational analytics tools fall short. They are based on static or some form of a dynamic thresholds derived from trending and averaging analytical approaches, but in today’s dynamic, high-velocity environments, false positives are far too common and important information is lost in the noise.

Next generation analytic tools should be lev leverage self-learning models powered by machine learning in order to deliver personalized, faster, more accurate operational insights.

There are some emerging tools today that starting to leverage some form of self-learning models in order to identify the anomalies in the individual object behaviors based on reported statistics, however capturing the anomalies alone of individual metrics is not sufficient enough for two major reasons:

• First, it does not capture the interplay between the data and therefore learn those behaviors (such as IOPS, latencies, CPU).

• Second, it does not provide the actionable insight but rather identifies some anomaly that may or may not require attention.

To address those major gaps, the next generation approach based on machine learning principals should incorporate the notion the topology and interplay between the data as well as take it all the way through the derivation of the root cause in order to identify true issues as well as provide meaningful recommendations.

Join industry analyst Jason Bloomberg, president of Intellyx, who will discuss the challenges facing IT operations today and why advanced machine learning, graph technology, and topological data analysis are now critical elements needed by today’s IT operations analytics technology. Next, Jim Shocrylas, Product Manager, SIOS Technology will explain how next-generation machine learning is enabling IT analytics tools to help IT managers resolve performance issues, ensure resource optimization, and meet service level agreements for mission critical applications in VMware environments. He will then walk through common use cases for the practical application of this advanced technology.