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

Implementing Events-based Trading and Prediction Markets

By Jon Light, Senior Director of Product Management at Devexperts. The current surging interest in prediction markets is leading to a general reevaluation of this type of trading, with many financial services firms now questioning whether to offer events-based trading to their own users. To date, several high-profile firms have moved to incorporate prediction markets...

EVENT

AI in Capital Markets Summit London

Now in its 2nd 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

Entity Data Management Handbook

Following on from the success of our Regulatory Data Handbook, A-Team Group is pleased to introduce its new Entity Data Management Handbook which is available for free download. This Handbook is the ultimate guide to all things entity data: Why Entity Data is important A full review of Legal Entity Identifiers (LEIs) Where they came...