- Tradition’s investment in leading-edge technologies continues as Azul Zing is integrated into all of Tradition’s trading platforms
- Trading platform predictability and performance key to Tradition purchasing Zing
- Collaboration with Azul Systems enables Tradition’s Development teams to focus on new revenue streams and value added activity
LONDON, UK, and SUNNYVALE, Calif., April 28, 2015 – Azul Systems, the award-winning leader in Java runtime solutions, today announced that Zing®, Azul’s Java Virtual Machine (JVM) designed for systems that require consistent low latency and high throughput, will be integrated into Tradition’s high performance trading platforms. Zing enhances Tradition’s competitive advantage through faster and more predictable trade execution and enables Tradition’s Development teams to pursue new capabilities and revenue opportunities.
Tradition is the interdealer broking arm of Compagnie Financière Tradition and one of the world’s largest interdealer brokers in over-the-counter financial and commodity related products. As Tradition continues to offer leading brands significant organic growth through innovation, it intends to use Zing as a technological foundation to deliver predictability, high throughput and low latency execution.
Yann L’Huillier, Group Chief Information Officer at Tradition, said: “For a number of years we have been investing significantly in our infrastructure to ensure we offer our clients a best in class service. Azul is recognised within the financial services sector as a provider of technology which enhances performance and ensures a predictability of trade execution. Once we had successfully tested Zing and measured its clear benefits, it was an easy decision to make to incorporate Zing into our trading infrastructure.”
Azul Zing is a unique JVM that provides consistent low-latency with high throughput, supports large in-memory datasets without performance penalties, and solves the Java “warm-up” problem. Zing eliminates the operational interruptions and response time outliers often experienced by Java-based trading, risk and compliance applications in the financial services market. Azul’s ReadyNow!™ technology solves Java’s warm-up problem by allowing applications to start fast at the opening bell and stay fast even as market conditions change during the day.
“It is widely recognized that with a conventional JVM, trading systems are not able to deliver consistent low latency with high scalability and certainty of execution,” said Scott Sellers, CEO of Azul Systems. “Zing removes the shortcomings of Java such as inconsistent response times and application jitter, thereby improving trade execution and ultimately overall profits. It also enables development teams at brokers like Tradition to focus on new capabilities and revenue opportunities, enhancing the overall value of the business.”
Request a free evaluation copy of Zing at www.azul.com/trial.
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About Azul Systems
Azul Systems, the industry’s only company exclusively focused on Java and the Java Virtual Machine (JVM), builds fully supported, certified standards-compliant Java runtime solutions that help enable the real time business. Zing is a JVM designed for enterprise Java applications and workloads that require any combination of low latency, high transaction rates, large working memory, and/or consistent response times. Zulu is Azul’s certified, freely available open source build of OpenJDK with a variety of flexible support options, available in configurations for the enterprise as well as custom and embedded systems. For additional information, visit: www.azulsystems.com.
Tradition is one of the world’s largest interdealer brokers in over-the-counter financial and commodity related products. Represented in 28 countries, Tradition employs 2,400 people globally. Tradition is the trading name of Compagnie Financière Tradition (CFT), which is listed on the Swiss stock exchange. Tradition’s activities are overseen by global regulators including the FCA, SEC and CFTC. For more information, please visit www.tradition.com.