IT Service Management Solution

Summary

The LogMatrix Service Management Solution (download product brief) is used to perform the analysis required to determine when a service fault or performance degradation is occurring or about to occur.

Details

The solution focuses on defining events associated with specific service components -- and the detection and notification of those events within the context of an overall risk management strategy. 

• Event analysis is done using fault, health, and performance data that appears in the form of metrics, statistics or measurements that a device, server, or application store in various forms.
• The ability to provide such analysis is delivered via a combination of the LogMatrix NerveCenter network management product, and the LogMatrix EventCenter event correlation product.

When NerveCenter identifies an event, the source of that event is likely a component of a larger business service. If this business service is not functioning or is impaired in some way it may pose a risk to the business. Determining the service impacted and root cause of the issue quickly and efficiently reduces this risk.

• NerveCenter can be used to identify and group the components of services, and model the scenarios of potential failure -- taking into account dependencies, priorities, and impacts of lower level issues. It then determines how or if a service is impaired or not functioning and alerts with the appropriate priority.

However, to model all the possible scenarios and dependencies and potential impacts to the overall service, (risk of loss of revenue) for complex or large services can be a daunting – if not impossible task.  Fortunately there’s an effective solution to this challenge.

• By combining NerveCenter with EventCenter you no longer need to try and model every fault/performance issue scenario and dependency.
• The algorithms employed by EventCenter take the low level events already verified/qualified by NerveCenter and apply an overall value of risk or impact to the event.
• Next the event is enriched via external referential data to determine the value of the component in question, the service or customer it belongs to, and any other relevant information.
• The event is then correlated based on the event data and enrichment data.
• The risk algorithms calculate overall risk or business impact for the correlated events and then produce actionable alerts that are prioritized based of the risk and/or impact to business services.