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

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

DiffusionData Targets Agentic AI in Finance with New MCP Server

Data technology firm DiffusionData has released an open-source server designed to connect Large Language Models (LLMs) with real-time data streams, aiming to facilitate the development of Agentic AI in financial services. The new Diffusion MCP Server uses the Model Context Protocol (MCP), an open standard for AI models to interact with external tools and data...

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

The Global LEI System – A Solution for Entity Data?

The Global LEI System – or GLEIS – has been in development since the middle of last year. Development has been patchy at times, but much has been done, leaving fewer outstanding issues, but also raising new questions. What’s emerging is a structure for the GLEIS going forward, complete with a mechanism for registering and...