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 Zings Java for Low Latency

Subscribe to our newsletter

Azul Systems has released version 5.0 of its Zing realtime Java Virtual Machine for Linux, eliminating the need for a hypervisor layer, and thus making it more attractive to developers of low-latency trading applications. In earlier versions, the required hypervisor virtualisation added unwelcome latency.

Zing is 100% Java-standard JVM, which is based on Oracle’s HotSpot realtime JVM, designed for applications that need to support high transaction rates and large memory, with consistent processing times.

Zing uses the Azul C4 (Continuously Concurrent Compacting Collector), which eliminates garbage collection pauses – a prime cause of inconsistency of processing time. This inconsistency – known as jitter – needs to be minimised for many algorithmic and high frequency trading strategies to work. Zing requires no application code changes, and is tuned via a few parameters. Zing 5.0 currently supports Red Hat Linux 6, and CentOS 6.

Azul began life making custom multi-core appliances for high performance Java applicatons. While it still does that, it now also offers the Zing JVM for commodity x86 servers.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Reviewing the Latency Landscape and the Next Generation of Ultra-Low Latency Infrastructure

Date: 17 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Ultra-low latency is no longer the preserve of a handful of proprietary trading firms. As new asset classes electronify, data volumes surge, and regulatory expectations around execution quality and resilience tighten, the performance demands on trading infrastructure are broadening...

BLOG

Quantum Readiness in Trading: Why Cryptography and Data Governance Matter More Than Qubits

Quantum computing is becoming one of the most widely discussed emerging technologies in financial markets infrastructure. In industry commentary, the technology is often framed either as a revolutionary engine for trading performance or as an existential threat to the cryptographic systems that secure global finance. In practice however, the near-term impact is likely to be...

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

Regulation and Risk as Data Management Drivers

A-Team Group recently held a webinar on the topic of Regulation and Risk as Data Management Drivers. Fill in the form to get immediate access to the accompanying Special Report. Alongside death and taxes, perhaps the only other certainty in life is that regulation of the financial markets will increase in future years. How do...