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

ITRS Adds Integrations to Monitor Big Data Platforms, Container Technologies to Follow

Subscribe to our newsletter

ITRS has added a set of six integrations to its Geneos solution that allow users to monitor open source, big data technologies – including Kafka, Hadoop, PostgreSQL, MongoDB, Cassandra and Elasticsearch – and troubleshoot, analyse and optimise the performance of applications running on each of these big data stacks.

The company is also working on the integration of Geneos with container technologies that are becoming popular with banks as a means of powering applications. These integrations will allow users to monitor the real-time performance of containers and orchestration tools.

The Geneos integrations with big data platforms allow users to dig deeper into how the individual data technologies are performing in real time and investigate how they are impacting the overall health of applications.

Mark Loader, head of product management at ITRS, says: “Enterprises in financial services are increasingly running mission critical applications on big data platforms, from data ingestion to analysis. While most firms have successfully implemented these applications, what they lack is clear insight into how they are performing. This is where value becomes a risk. Without the right monitoring systems in place, firms cannot maximise value from their big data investments. With our new integrations, companies can get full visibility into their data-driven applications.”

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: From Data to Alpha: AI Strategies for Taming Unstructured Data

Date: 16 April 2026 Time: 9:00am ET / 2:00pm London / 3:00pm CET Duration: 50 minutes Unstructured data and text now accounts for the majority of information flowing through financial markets organisations, spanning research content, corporate disclosures, communications, alternative data, and internal documents. While AI has created new opportunities to extract signals, many firms are...

BLOG

When Margin Moves Upstream: How TT is Reworking Trading Decisions After the OpenGamma Deal

More than a month after completing its acquisition of OpenGamma, Trading Technologies is beginning to articulate how the deal is intended to change the way firms think about margin, capital efficiency, and trading decision-making. Rather than positioning margin as a downstream risk or treasury concern, TT is now framing capital efficiency as a front-office variable...

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

The Trading Regulations Handbook

Need to know all the essentials about the regulations impacting trading infrastructure? Welcome to the first edition of our A-Team Trading Regulations Handbook which provides all the essentials about regulations impacting trading operations, data and technology. A-Team’s Trading Regulations Handbook is a great way to see at-a-glance: All the regulations that are impacting trading technology...