About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Azul Zing Boosts OptionsCity Trading Performance; Releases 5.2 JVM

Subscribe to our newsletter

OptionsCity Software is leveraging the Zing Java Virtual Machine from Azul Systems to boost performance of its Freeway algorithmic trading and Metro market making systems. By taking advantage of Zing, the systems can take advantage of more robust, sophisticated and customised models, and predictable low-latency, to deliver better trading performance.

Zing is a 100% Java-compatible native JVM, optimised for Linux, which greatly reduces performance hiccups common in Java, caused by garbage collection (a background memory management function). Zing makes use of highly optimised compilers, as well as Azul’s Continuously Concurrent Compacting Collector (C4) technology, to implement pause-less garbage collection. Standard JVM garbage collection causes unpredictable application execution, a cause of jitter within low-latency systems.

Messaging specialist Informatica is also leveraging Zing.  “Our interest in Zing lies in its ability to support ultra-low-latency messaging,” says Todd Montgomery, vice president, architecture, Messaging Business, Informatica. “In an era where every microsecond has value for high-frequency trading, the ability to deploy new functionality rapidly and know that it will perform consistently is essential.”

The just released Zing 5.2 adds support for Ubuntu Linux, and also introduces performance and latency reduction improvements, enabling performance gains for individual application threads by up to 50% and achieving garbage collection worst case latencies as low as 80 microseconds for tuned applications.

Also new in 5.2 is Zing Vision, a zero-overhead production-time application monitoring and diagnostics tool.  Zing Vision – which runs inside the JVM – allows technologists to see what a Java application and JVM is doing during real-time operation.

Zing is compatible with – but competes with – Oracle’s own Java HotSpot JVM. It can support many-core architectures and gigabytes of RAM, making it a good choice for supporting high performance trading applications.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: How to move to a modern, component based trading architecture using a Buy AND Build approach

To remain competitive in today’s electronic markets, firms need trading architectures that support rapid innovation, effortless integration of new capabilities, and the agility to respond to shifting market demands. This is prompting technology leaders to move beyond the traditional “Buy vs. Build” debate, a false dichotomy that oversimplifies the choice between generic, off-the-shelf platforms and...

BLOG

OneChronos Brings Combinatorial Matching to European Equities

Periodic auctions came to Europe as an answer to the speed race. They are now routine. Several operators run them, and randomised auction lengths and speed-neutral matching have become standard rather than special. A venue arriving today has to say what it does that the others do not. OneChronos, which began production trading on its...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

Hosted/Managed Services

The on-site data management model is broken. Resources have been squeezed to breaking point. The industry needs a new operating model if it is truly to do more with less. Can hosted/managed services provide the answer? Can the marketplace really create and maintain a utility-based approach to reference data management? And if so, how can...