Written by: Bruce Fraser
7/6/2009 10:44 AM

Software developers are always on the lookout for ways to be more productive. Over the years we’ve built up layer upon layer of tools to help us get the most of the time we spend. Programming languages make our programs easier for other humans to understand and maintain, compilers allow the same source program to be run on different processors, and virtual machines allow it to be run on different operating systems. Most modern programming languages include a system that monitors the memory that our programs use and makes sure that memory that’s no longer used is cleaned up so it can be re-used and doesn’t run out. The productivity gain comes not only from not having to write extra code, but also from never encountering the potential bugs that could be lurking in that code.
If your application solves a real time data analysis problem, then event processing likely offers a significant productivity advantage over traditional application development. Building on an event processing platform typically requires fewer software development skills, with many powerful features (real time data capture and aggregation, data persistence, transaction support, multidimensional analysis, integration, run time application version control) provided through wizard based interfaces. The result is that applications can be built incrementally developed, offering shorter time to value, and can share data and business logic, offering amortization of development effort across multiple application instances. While event processing has traditionally been applied in a fairly limited set of domains (for example financial trading), these features make event processing a viable alternative to a wide variety of solutions as diverse as traffic management, customer experience monitoring and environmental sustainability monitoring.

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