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

New Zealand’s Chelmer Adds Azul JVM to CSS Trading Platform

Subscribe to our newsletter

By Zoe Schiff

Azul Systems’ resale agreement with Chelmer will allow the Auckland, New Zealand-based trading systems supplier to offer Azul’s Zing Java Virtual Machine (JVM) to add consistency and scalability to clients’ low-latency infrastructures. The deal also expands Azul’s presence in Asia / Pacific.

The relationship stemmed from Chelmer’s desire to address performance issues with the legacy JVM used by its Chelmer Software Suite, an integrated, memory-intensive, customizable Java-based solution for broking, wealth management and private banking firms or custodians.

The CSS software manages the entire life cycle of investing, from order origination onwards, in a multi-currency, multi-asset, multi-market environment.

Because CSS was originally implemented using a legacy JVM, when used in situations involving more than 50,000 investor portfolios, certain routines were unable to complete due to random Garbage Collection pauses, a common problem for applications that rely on legacy JVMs.

To address the problem, Chelmer deployed its application on Zing. The result was a reduction in maximum pauses and an enhanced ability to consistently execute at higher loads.

Zing’s integration into Chelmer’s Software Suite is expected to enhance the overall application functionality and increase the processing of large investor portfolios. It will also reduce application downtime and achieve greater consistency of performance.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

Date: 20 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining...

BLOG

Adaptive Develops Aeron Sequencer to Address Scalability and Resilience Challenges in Modern Trading Systems

Adaptive has announced it is developing Aeron Sequencer, a software infrastructure platform designed to tackle some of the most persistent architectural challenges facing high-performance trading systems, including consistency, scalability, performance and availability. Currently in late-stage development, Aeron Sequencer is positioned as an out-of-the-box application infrastructure layer for broker-dealers, exchanges and other market participants building large-scale,...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Regulatory Data Handbook 2019/2020 – Seventh Edition

Welcome to A-Team Group’s best read handbook, the Regulatory Data Handbook, which is now in its seventh edition and continues to grow in terms of the number of regulations covered, the detail of each regulation and the impact that all the rules and regulations will have on data and data management at your institution. This...