Kabira platform runs Java transaction apps with less code



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May 7, 2008 —  SAN FRANCISCO — “Extreme transaction processing” sounds like it describes someone running a credit card approval while snowboarding, but it’s the business of Kabira Technologies, which is introducing a new approach to running Java applications with less Java code.

Kabira announced at the JavaOne 2008 Conference that it is developing a Java development product that it claims can run applications from shared memory faster and more reliably than from disk-based computer systems, when coupled with its Kabira Extreme Processing Platform (KXTP).

Java applications running on top of KXTP already perform some of the major functions of the applications. Because Kabira can run the applications from shared memory in processors, much of the code required to run a traditional Java application isn’t needed, said Paul Sutton, president and CEO of Kabira.

A transaction application, such as recording debits and credits to a checking account, can be written with 87% less code than for a comparable Java application, Sutton claimed. Fewer lines of code mean a smaller application footprint on the server, fewer servers needed and less energy used, he added.

In one of his examples, 550 lines of code in a Java application were reduced to 30; in another, 20,000 lines of code were reduced to 2,000.

But a smaller footprint can’t come at the expense of reliability. Because the end users of such applications are financial or telecommunications companies, including AT&T, Visa and Vodaphone, Kabira must deliver 99.999% uptime as transaction volume grows, Sutton said.

“What we are going to be delivering to the Java community … is a fully fault-tolerant, fully highly available, productivity-enabled program environment in Java where people can write fully fault-tolerant transactional systems that work multiple times faster than before,” he stated.

Kabira took the opportunity at JavaOne to reach developer, business and analyst communities, Sutton noted. “We will be synthesizing that input with that of our current customers and information gleaned from beta trials.”





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