As business requirements continue to demand real-time insight into the heartbeat of service oriented architectures (SOAs), effective event driven architecture will be a key foundation upon which real-time applications are built. Enterprise Service Buses (ESBs) are the first critical step in achieving a flexible infrastructure, and complex event processing provides the next critical step – the ability to express and identify causal and temporal relationships within streaming data, to visualize and act on those patterns, access existing static data, and to store the event data associated with event driven applications. Register to download our whitepaper, Event Stream Processing and Event Driven Architectures, and read how you can add instant business insight to enterprise applications that process high volumes of complex data.
Progress® Apama® monitors event-driven applications and its data, applies sets of analytic rules to those data streams, and then through real-time analysis determines the appropriate action to take. Event Stream Processing (ESP) is a new paradigm of distributed computing that supports the real-time data processing of multiple event streams with the goal of identifying meaningful events within those streams.