Traiana deploys Azul Zing to lower latency and enhance pre and post trade processing performance

Today Azul announced that Zing(R), our Java Virtual Machine (JVM) designed for systems that require consistent low latency and high scalability, has been deployed by Traiana, the leading provider of pre trade risk and post trade processing solutions. Traiana has chosen to implement Zing on CreditLink, Traiana’s real-time platform for pre and post-trade certainty of clearing, to drive higher scalability, lower average latency execution and eliminate inconsistent response time outliers to ensure it meets strict Service Level Agreements (SLAs) and regulatory standards. This initial deployment is part of a staged Zing roll-out across the entire Traiana network.

Using CreditLink, prime brokers have the ability to monitor their clients’ credit risk and trading activity across multiple ECNs and single dealer platforms on a real-time basis. As a result they can identify limit breaches, modify credit lines and terminate trading activity. CreditLink also supports a wide range of asset classes and trading models, serving as a central risk management infrastructure across spot FX, FX derivatives, cleared swaps and exchange traded derivatives.

Nick Solinger, Head of Product Strategy at Traiana, said: “Since Zing has been incorporated into our infrastructure we have seen significant improvements in average latencies. Our development team is particularly impressed in how Zing seamlessly provides immediate latency benefit – this has been achieved with minimal time investment from us and zero changes to existing code.”
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!(TM) 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.

“Traiana’s decision to utilize Zing as part of its CreditLink infrastructure underscores the importance of using the right JVM for revenue-generating products that require low latency and high scalability,” said Scott Sellers, CEO and President of Azul Systems. “Only Azul’s Zing Java runtime is designed to deliver high sustained throughput combined with consistent low-latency, both critical elements in today’s ultra-competitive financial markets.”

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