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

Recorded Webinar: Enhancing trader efficiency with interoperability – Innovative solutions for automated and streamlined trader desktop and workflows

Traders today are expected to navigate increasingly complex markets using workflows that often lag behind the pace of change. Disconnected systems, manual processes, and fragmented user experiences create hidden inefficiencies that directly impact performance and risk management. Firms that can streamline and modernise the trader desktop are gaining a tangible edge – both in speed...

BLOG

The Great Convergence: How AI, Data, and Open Platforms Are Redefining the O/EMS

For decades, the Order Management System (OMS) and the Execution Management System (EMS) occupied distinct roles within the trading process; the OMS handling the full order lifecycle, from creation to post-trade processing and compliance, and the EMS managing real-time order execution, routing, and optimisation across markets and venues. Today, a powerful convergence is reshaping this...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Entity Data Management Handbook – Fifth Edition

Welcome to the fifth edition of A-Team Group’s Entity Data Management Handbook, sponsored for the fourth year running by entity data specialist Bureau van Dijk, a Moody’s Analytics Company. The past year has seen a crackdown on corporate responsibility for financial crime – with financial firms facing draconian fines for non-compliance and the very real...