NerveCenter is Different from the Ground Up


nervecenter technician

It all starts with NerveCenter’s unique architecture, which sets it apart from other IT Operations management products.  Driven by Finite State Machine architecture, NerveCenter can do things other products by definition just cannot do.

Behavioral Modeling

NerveCenter™ uses a successful finite state/ behavioral modeling technique uniquely to provide complex event processing (CEP) and advanced analytics for event management and avoidance.
NerveCenter automatically discovers significant behavior patterns from massive traffic data by applying the behavior classification on backbone links and analyzing their temporal properties. This scheme is robust and consistent in capturing behavior similarities among significant clusters. Such similarities provide useful insight in communication patterns of end hosts and applications.

Why Use NerveCenter?

Most IT operations and systems monitoring solutions are developed as “one size fits all.” They are built to handle the common monitoring use cases that will face the majority of IT operations. They typically will listen for traps and do some basic polling and apply some elemental correlation. We at LogMatrix consider this to cover 80% of the monitoring requirements of a unique, complex network.

Network complexity creates other monitoring requirements. These requirements are not likely to be single threaded and will be complex issues that require historical knowledge and tie in multiple operational aspects and information from your environment. They are unique to your environment and operating procedures and policies. They are outside the 80% serviced by most network monitoring solutions; these requirements are the 20% gap.

Through its use of behavioral models, NerveCenter is uniquely capable of satisfying the requirements of the 20% gap.

What Distinguishes NerveCenter?

  • Easily configurable
  • Scalable
  • Powerful correlation engine at its core
  • Maintains states in memory
  • Correlate events across time (time series and trending), across devices and across disparate sources
  • Incorporates Operational Intelligence
  • Can perform Detection-Oriented Complex Event Processing (CEP) including:
  • Event filtering
  • Event aggregation
  • Event pattern detection
  • Understanding timing relationships between events
  • Understanding causality relationships between events
  • Understanding grouping relationships between events
  • Understanding event hierarchies

Indicators That You Are Experiencing the 20% Gap

  • Difficulty identifying the key issues from amongst thousands of events received resulting in missed issues
  • False positives from your monitoring systems resulting in real issues being ignored or a resource drain if investigated
  • Difficulty determining which issue to fix first
  • An Alert received is not the true root cause
  • Your monitoring is Reactive to issues as they occur rather than Proactively identifying issues or patterns and taking corrective action before they become an issue
  • “Smart Polling” is needed when you have situations where you need more information on a potential issue quickly
  • You have a need to apply Operational Intelligence real-time to events