Date: April 8, 2017
Tags: #AIOps, application monitoring, application performance, infrastructure monitoring, IT Analytics, IT solutions, Machine Learning, VMware analytics, workload management, workload migration
View this recorded webinar to hear noted vExpert and principle analyst for ActualTech Media, David M. Davis, and Jim Shocrylas, SIOS Technology’s Director of Product Management discussing a wide range of problems and recommended solutions facing IT managers in VMware environments.
David discusses the changes in IT that led to the creation of the IO “blender” that we see today and the ways traditional threshold-based monitoring and management tools are falling short. He reviews the challenges this situation poses for IT managers who are trying to solve problems, eliminate wasted resources, and meet service levels – from overwhelming alert storms, to “siloed” view of the infrastructure, to inefficient (and costly) trial-and-error problem-solving.
He discussed the ways new machine learning-based IT analytics are answering the questions that traditional threshold-based solutions cannot – what is the root cause of the problem and how to fix it. Jim Shocrylas provides a demo of SIOS iQ machine learning IT analytics solution and shows how easy it is to:
- Be aware of important issues without alert storms
- Identify root causes of performance issues quickly, easily, and accurately
- Right-size performance and capacity in vSphere infrastructures without risk
- Prevent problems before they happen