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Rules, events and processes meet

Update – Integrated process, rules and event capabilities are something of a holy grail for today’s high-powered corporations. Such capabilities are being pursued in open source software. For example, over the years, Red Hat’s Middleware division has expanded its JBoss server line, adding software to enable these advanced efforts. Last month, Red Hat went live with JBoss Enterprise BRMS 5.3, supporting business process automation and intelligent decision and event processing for applications running on the JBoss Enterprise Application Platform 6 and JBoss Enterprise SOA Platform 5.3.

The new release, as discussed in Boston at Red Hat’s recent JBoss World event by Ken Johnson, director of product management,  also adds Apache Camel integration, improved data services and additional messaging support. Combining BPM software, rules and complex event processing is a worthwhile goal, indicated Maureen Fleming, vice president, BPM and middleware research programs, IDC, in a prepared statement.

For some time, research has indicated that making SOA, BPM and event processing work together is a challenge. [Ed. Note: See “State of SOA 2010” a downloadable PDF) Recently, we asked James Taylor how important connecting these disciplines was today. Taylor, an independent consultant specializing in decision making strategies, has been a long-time observer of business rules trends.

“Using business rules to automate decisions and integrating decisions with events and processes as decision services is essential for organizations trying to add agility to their systems,” Taylor said in an e-mail. “Bringing business rules management to the heart of the enterprise architecture stack is increasingly critical,” he continued.

Red Hat/JBoss has pulled a lot of tools together of late. Are there areas that need more attention still, we asked Taylor, who responded, “Decisions also involve analytics and it would be great to see some more options for bringing [in] analytic techniques.”

“RedHat has some interesting work going on with optimization and business rules, which is great, and I would like to see this extended to include data mining and predictive analytics,” said Taylor. – Stephanie Mann and Jack Vaughan

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