Pinpoint Probable Cause

Dramatically Reduce the Time to Detect and Resolve IT Issues to Minimize Business Disruption

In order to determine the cause of detected problems, the Aternity Frontline Performance Intelligence (FPI) Platform uses all of the performance and contextual metrics captured, such as the Location, Subnet, DNS, Presentation Server,Web Server, Target Server, Computer Model, OS Patch Level, Memory, CPU Speed, Installed Applications, Running Processes, etc., for each frontline user monitored, and identifies the unique and common attributes of the impacted group – deriving the probable cause of the problem.

Probable Cause Analysis

The Aternity FPI Platform’s Analytic Engine automatically identifies the unique commonalities of the impacted group, via two levels of correlation:

1. Positive Correlation: Identifies the unique attributes the impacted group have in common
2. Negative Correlation: Identifies the attributes common to the impacted group that are also common to the non-impacted groups

The intersection of these two correlations, i.e. the Query Group and the Impact Group is shown as the “Match Group” above. The attributes that produce the strongest Match Group are “surfaced” as a Probable Cause.

As the problem nears resolution, the Aternity FPI Platform continues to monitor the impacted End Points, eventually closing the problem when there are no more suffering end users. Tickets are closed only when a problem is actually resolved, reducing the guesswork currently involved in understanding resolution impact.