About a-team Marketing Services

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

Upcoming Webinar: Data platform modernisation: Best practice approaches for unifying data, real time data and automated processing

Date: 17 March 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Financial institutions are evolving their data platform modernisation programmes, moving beyond data-for-cloud capabilities and increasingly towards artificial intelligence-readiness. This has shifted the data management focus in the direction of data unification, real-time delivery and automated governance. The drivers of...

BLOG

Bloomberg BQuant Wins A-Team AICM Best AI Solution for Historical Data Analysis Award

When global markets were roiled by the announcement of massive US trade tariffs, Bloomberg saw the amount of financial and other data that runs through its systems surge to 600 billion data points, almost double the 400 billion it manages on an average day. “These were just mind-blowingly large volumes of data,” says James Jarvis,...

EVENT

Eagle Alpha Alternative Data Conference, London, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

Entity Data Management

Entity data management has historically been a rather overlooked area of the reference data landscape, but with the increase focus on managing risk, the industry is finally taking notice. It is now generally agreed to be critical to every financial institution; although the rewards for investment in entity data management appear to be rather small,...