SIOS iQ: Next-Generation Machine Learning for Holistic Operational Analysis

The Importance of Machine Learning As innovation in big data analysis techniques accelerates, the bar for operational analytics rises apace. The sheer quantity of different types of operational data, from log files to real-time performance metrics, is no longer an excuse for delivering incomplete or inaccurate information. Today, IT organizations require thorough, comprehensive, and real-time insights into their production environments. Traditional operational analytics approaches focus on recording and reporting discrete events – for example, CPU utilization exceeding a particular threshold. However, these traditional event-based approaches fall short in today’s increasingly complex and dynamically changing environments. Not only do threshold-based events generate alert storms of useless information, bogging down the admin’s management tools and leading to the “crying wolf” problem of alert fatigue, but such tools also miss important correlations that…


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