Progress Apama Architecture

Apama's architectural design was formulated in the late 90's in research into the requirements of distributed systems conducted at Cambridge University in the United Kingdom. That research recognized that event processing required a new architectural approach, one fundamentally different from traditional data processing architectures.

Progress Apama is the commercial realization of that research effort. The Apama architecture is built around a modular, scalable design with core functionality that can be summarized as:

• Monitor inbound events typically delivered via a messaging infrastructure or market data feed.
• Analyze those events in memory, either singly or in conjunction with other events whose attributes and temporal ordering represent a pattern.
• Trigger outbound events that represent an action to be taken in response to the analysis.

To deliver these operations, Apama inverts the paradigm of traditional systems. Rather than the "store-index-query" model of those architectures, Apama introduces a real-time computing engine (the Apama Correlator) in which predefined event patterns (the logical equivalent of a database query) are preloaded into the system as event "Scenarios". These Scenarios act on events within event streams - as the events flow over the Scenarios. When events within the data streams match conditions specified in the Scenarios, they are processed.

Apama's architecture is further distinguished by its ability to support many individual scenarios operating simultaneously. Thousands of individual scenarios can be executing, each with its own logic monitoring the event streams, seeking out patterns and, upon detection, triggering predefined actions. Thus, Apama provides a unique standard of scalability, one that is unmatched in the industry.

Lastly, Apama's architecture is delivered, not as an event processing engine, but rather as a comprehensive event processing platform. Thus, Apama also provides:

• Development tools that span the needs of different types of users
• Flexible integration options with bidirectional connectivity to a variety of event stream sources
• Graphically rich dashboards for user monitoring of event processing activities".
• Tools to test/analyse application behavior using real data streams.

The Apama Architecture

• Apama Event Modeler
• Apama Event Manager
• Apama Research Studio and EventStore
• Apama SmartBlocks
• Apama Dashboards
• Apama Integration Adaptor Framework

Contact us to gain more insight and to learn more about Apama products from Progress Software.

Related Topics

• Algorithmic Trading
• Automated Trading
• Backtesting
• Black Box Trading
• Business Activity Monitoring (BAM)
• Complex Event Processing
• Data Streams
• Event Driven Architecture
• Event Driven Programming
• Event Processing
• Trading Algorithms

You may also be interested in:

• Apama ESP Platform
• Apama Algorithmic Trading Platform
• Event Processing Resource Center
• Algorithmic Trading Resource Center
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