Starview Enterprise Event Server

Starview Event Servers enable you to build, test and deploy specialized, complex event processing application systems for your business. The servers are specifically designed for event-driven applications: lightweight and modular, they are easy to deploy, scalable and reusable.

Large enterprises often require development of complex, distributed applications. The Starview Enterprise Event Server is uniquely suited for developing event-driven applications that can run across multiple servers and nodes. With a full range of developer tools (ACE) and Star™, the Enterprise Event Server makes it easy to develop custom applications and create rules. Management capabilities include the ability to view application performance while providing full control over all aspects of the distributed application.

The Starview Enterprise Event Server has built-in CEP engines, for real-time event processing. It goes beyond CEP to provide advanced capabilities including the industry-unique Analytical Event Processing (AEP) engines that collaborate and cooperate across multiple streams of data. The AEP engine is based on “actors” – event-processing agents that listen for events, and analyze based on the entire working environment. Actors take action according to predetermined rules, in the context of the other actors. AEP engines thus perform multi-path analysis and cooperative decision-making close to the source of the event.

The Enterprise Event Server provides a number of advanced capabilities that are essential in building large, distributed event-driven applications. It works in conjunction with the Enterprise Hub to control and simplify the complexity of the distributed environment. When doing multiple node simulations, it works with the Simulation Server to enable multiple simultaneous simulations of the entire system or subsections, using live or historical data.

For situations involving process optimization, quality or other aspects of the business, the Enterprise Event Server’s Remote Agents allow you to push processing close to the origination of the data, pre-analyzing it to enable better decision-making without impacting the network.