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: Data platform modernisation: Best practice approaches for unifying data, real time data and automated processing

Date: 17 March 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Financial institutions are evolving their data platform modernisation programmes, moving beyond data-for-cloud capabilities and increasingly towards artificial intelligence-readiness. This has shifted the data management focus in the direction of data unification, real-time delivery and automated governance. The drivers of...

BLOG

The Digital Last Mile: Reimagining Trader Workflows for the AI Era

As trading desks evolve, firms are turning to AI, interoperability, and modern technology platforms to create smarter, more connected environments that reduce friction for traders, enhance decision-making, and allow users to interact seamlessly with data and tools. However, one of the biggest hurdles they face is the sheer weight of the past. Decades of bespoke...

EVENT

ExchangeTech Summit London

A-Team Group, organisers of the TradingTech Summits, are pleased to announce the inaugural ExchangeTech Summit London on May 14th 2026. This dedicated forum brings together operators of exchanges, alternative execution venues and digital asset platforms with the ecosystem of vendors driving the future of matching engines, surveillance and market access.

GUIDE

Regulatory Data Handbook – Fourth Edition

Need to know all the essentials about the regulations impacting data management? Welcome to the Fourth edition of our A-Team Regulatory Data Handbook which provides all the essentials about regulations impacting data management. A-Team’s series of Regulatory Data Handbooks are a great way to see at-a-glance: All the regulations that are impacting data management today A...