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TRITON
Triton is a Complex Event Processing (CEP) platform that allows the development and parameterisation of specialised event correlators that can be applied in various domains.
Its aim is to reduce the number and complexity of the events seen by the final user - be it technical or managerial staff - by means of a complex processing and correlation system.
Functionality
Given a "cloud" of events arising from various control systems in both technological environments and business processes, TRITON's main functionality is to distil a reduced number of events that add value to the monitored processes.
With this main aim in sight we achieve the following:
- Grouping those events that by themselves do not add value to the management of the process, while at the same time distorting and hindering the detection and processing of significant events.
- Detecting complex correlations between systems that a priori are not interconnected, and which are not detectable by conventional monitoring methods.
Triton has a powerful and intuitive interface and a language developed for the fast and easy creation of correlation rules.
Advantages
Web interface Management
Access to Triton is done via a web interface. This allows a multiplatform service accessible from various locations, depending on the defined access profile.
Generation of derived events
Subject to the correlation rules, Triton is able to generate events that reach thresholds defined in time windows or combine several events into a higher level one.
Integration with other tools
Although Triton displays its full power in conjunction with the eMas® event and alarm management system, its design allows a full integration with other tools and agents without compromising efficiency.
Complex Event Processing (CEP)
Resolution of complex event correlation problems that allows the generation in real-time of alarms from the events detected in various systems which may not be directly interconnected.
Active response
Actuators can be triggered to perform actions based on the correlation processes. These actions can be performed on the system that originated an event or on other affected systems or processes, which can be identified by a root cause analysis.
Natural language
Once the correlation domain has been defined and the correlation problem identified, it is possible to define a near-natural language that allows the non-technical user to design and maintain rules.
Filtering of unnecessary information
The application of correlation rules allows filtering of undesired or irrelevant events, as well as management of duplicates.
Domain specific language
The correlation system is based on a powerful rule engine that allows the user to define the correlation problem at hand by means of a configurable domain specific language.