Behavioral Analysis & Predictive Analytics meet SLA’s , Prevent Problems, and Reduce Costs

In this presentation we will explain some of the basics of behavioral analysis and predictive analytics describing how these techniques are used for performance management in a mainframe environment. Using data from standard mainframe monitors (e.g. OMEGAMON, TMON, Mainview, SYSVIEW) these techniques can be applied in a standard mainframe production environment to discover performance anomalies and provide dynamic threshold analysis. Analyzing these anomalies increases service levels and SLA adherence by finding performances problems earlier (before they affect users). They also lower costs and speed problem resolution by providing the information needed to quickly pinpoint the right experts to fix the problem. We will also briefly touch on how these techniques can be used to manage the costs associated usage based pricing (e.g. sub-capacity pricing).