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

Upcoming Webinar: Optimising cloud, marketplaces & managed data services

Date: 30 June 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Financial institutions are under mounting pressure to rethink how they source, manage and distribute market data. Rising data volumes, multi-cloud adoption and the operational demands of regulations such as DORA are exposing the limits of legacy infrastructure, and driving...

BLOG

The Matching Engine Was Never the Hard Part: What 24/7 Really Demands of Exchange Architecture

The framing has become familiar. Digital asset exchanges, prediction markets and retail-driven platforms have normalised continuous trading. Traditional venues, with their nightly batch cycles and weekly maintenance windows, are now playing catch-up as they extend hours, tokenise assets and reach for new distribution models. The conventional answer is to point at the matching engine and...

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

ESG Data Handbook 2022

The ESG landscape is changing faster than anyone could have imagined even five years ago. With tens of trillions of dollars expected to have been committed to sustainable assets by the end of the decade, it’s never been more important for financial institutions of all sizes to stay abreast of changes in the ESG data...