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April 8, 2013

LMAX Exchange Chooses Azul Systems® Innovative Zing to Further Optimize Execution Performance

LMAX Exchange, the first FSA regulated MTF for FX, announced today a strategic partnership with Azul Systems, the leading Java solution provider for applications requiring low latency and scalability. LMAX Exchange will use Azul’s Zing™ for continuous performance optimization of its low latency execution venue.

As the award-winning LMAX Exchange continues its rapid growth, it will use the innovative Zing as a technological foundation to deliver consistently reliable performance, high throughput and low latency execution.

Furthermore, both companies will collaborate at a deep engineering level to continuously optimize the low-latency performance of Azul’s Java solutions.

Azul’s Zing is a 100% Java-compatible high performance JVM, known to deliver low latency and also to support large in-memory datasets without performance penalty. In essence, Zing eliminates operational interruptions, response time outliers and the scalability limits of Java-based trading and other financial services applications.  LMAX Exchange will benefit from Zing without having to make any changes to its unique trading software architecture, approach to software development or its advanced continuous delivery process.

Edward McDaid, CIO at LMAX Exchange, said: “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.”

Scott Sellers, president and CEO of Azul Systems, said, “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. We provide a fast, reliable and proven solution which 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. Zing enables financial institutions like LMAX Exchange to seamlessly grow transaction volumes and meet ever stricter SLAs.”

The two companies are planning to publish a series of white papers summarizing the results of their technical collaboration, including any business and performance benefits achieved.

About Azul Systems
Azul Systems delivers high-performance and elastic Java solutions with unsurpassed scalability, manageability and production-time visibility. Designed and optimized for x86 servers and enterprise-class workloads, Azul’s Zing is the only Java runtime that supports highly consistent and pauseless execution for throughput-intensive and QoS-sensitive Big Data applications. Azul’s enhanced Java technologies also enable organizations to simplify Java-based operations by deploying fewer instances while achieving lower average latencies, greater response time consistency and dramatically improved operating costs.www.azulsystems.com

About LMAX Exchange
The award-winning LMAX Exchange is the first FSA regulated MTF for FX. Established to deliver the benefits of exchange quality execution, LMAX Exchange offers complete pre and post-trade transparency, precise execution and a level playing field for all market participants. Customers benefit from superior ultra-low latency trading and trade execution speeds of less than 3ms in over 60 FX pairs with no ‘last look’ or rejections as standard. LMAX Exchange offers multiple connectivity options: FIX 4.4, Java and .Net APIs, MT4/5 bridges.

Industry awards:

  • 2013 Best FX Trading Platform – ECN/MTF – WSL Institutional Trading Awards
  • 2011 Best Trading System – Financial Sector Technology Awards
  • 2011 Oracle’s “Duke’s Choice” Innovative Programming Framework Award

LMAX Exchange – The professional FX exchange*.

*LMAX Limited operates a multilateral trading facility (MTF). Authorised and regulated by the Financial Services Authority, FSA Registered no. 509778. www.lmax.com