Leading Indicator Technology – (LIT) is a key differentiator from other NMS or MOM platforms. LIT is GO’s technology that adds AIOps capability that improves network availability through predictive error detection. This technology utilizes big data analysis and machine learning, with inputs for these analytics including extensive network messages and message patterns that are correlated with other network activity to identify leading indicators that give advanced warning of impending network component / system failures.
In complex networks, the network equipment has a natural rhythm during daily operations. NetworkEKG can detect abnormalities in that rhythm, much like an arrhythmic heartbeat, and alerts network operators, many times providing foresight on impending events.
During normal operations, network equipment passes messages, in effect a normalized conversation. Many times, before there is a network-affecting event, there are messages sent that fall outside the normal. GO monitors the incoming message stream and alerts network operators of the unusual conversations, which can predict impending hardware or network issues.
GO considers virtual and physical relationships within a network and monitors the health of those relationships. GO follows a continuous cycle of correlation and analysis to ensure that the best and most current information is always accessible to all levels of management and operations, and can often pre-warn of an impending problem.
Anomaly monitoring is another key component of GO’s Deep Network Analysis. As relationships are deeply analyzed and monitored, GridObserver detects and alerts of anomalies within these relationships.