LMAX Exchange, Azul Partner on Java Optimization

Edward McDaid, Lmax's CIO

The London-based multilateral trading facility (MTF) LMAX Exchange, specializing in foreign exchange (FX) matching orders, will use Azul's Zing Java virtual machine (JVM) solution to optimize its low-latency execution engine.

Proprietary JVMs like Zing eliminate outlying operational interruptions and reduce jitter, a common issue for the widely used Java coding language, without requiring any changes to existing software architecture or development processes.

"LMAX Exchange is already one of the fastest execution venues for FX and our deep technological collaboration with Azul will help to ensure we continue to deliver even faster and more consistent execution for our clients in the future," says Edward McDaid, CIO at LMAX Exchange.

Scott Sellers, Azul's CEO, points out that more onerous service-level agreements (SLAs) and growing trading volumes on low-latency MTFs like LMAX means that traditional tools used to maintain Java limit scalability for core and ancillary functions, alike.

“We’ve seen time and time again that if you are using a conventional JVM, you will not be able to deliver consistent ultra-low latency with high scalability. Azul provides a solution that ensures execution venues, risk analysis engines, messaging infrastructure, and a myriad of other low-latency applications benefit from consistency and reliability of execution and improved service availability—even under demanding and unpredictable loads," he says.

The MTF and vendor have additionally signed an engineering partnership as part of the agreement, which will be covered in-depth by Sell-Side Technology this week.




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