Who Do You Think You Are? Let IBM Tivoli Netcool Operations Insights find your relations.
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Do you descend from royalty? Were your ancestors convicts? Discovering those to whom you are related may be an enjoyable exercise in self-discovery; however, in the realm of enterprise monitoring, knowing what is related can really make a difference.
IBM Tivoli Netcool Operations v1.3 became generally available in March 2015 and helps IT enterprises identify and group related events resulting in a decrease in the number of events that are presented in the Event Viewer for IT operations staff. The 'Event Analytics - related events' functionality within IBM Tivoli Netcool Operations v1.3 is leveraged off a historical events database.
Event Analytics uses statistical analysis of IBM Tivoli Netcool/OMNIbus historical event data to determine which events have a statistical tendency to occur together. The results of this analysis are output on a scheduled basis as event groups.
You can analyze and validate these event groups. Validated event groups can be deployed with a single click as Netcool/Impact correlation rules, without the need to write any code. Correlation rules that are generated in this way act on real-time event data to show a single synthetic event for the events in the event group. The system uses the most actionable event in the group as the parent event to be set by the correlation rule. By default the most actionable event in the group is the most ticketed or acknowledge event. Before you deploy the correlation rule, you can change the parent event setting. A synthetic event is created with some of the properties of the parent event, and all the related events are grouped under this synthetic event.
All events in the group are presented as children of this synthetic event, thereby decreasing the number of events that are presented to your operations staff in the Event Viewer.
In your IT network, let IBM Tivoli Netcool Operations Insights find related events and enjoy the benefits.
If you have any further questions on Event Analytics, please contact me on Twitter @MaryAttridge, or add a comment to this blog post.