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ITRS Announces Full Support for 3rd Party Apps

ITRS Group, a provider of specialist APM technology to the world’s financial community, is now providing full support for third party applications.

A host of new interfaces will be available from and supported by ITRS alongside the more than 100 in-house interfaces to the most common financial markets applications ITRS already provides.

Previously, clients needed to go to ISVs to source specialist plug-ins but, in response to client requests, they will now be able to go directly to ITRS for these interfaces, in the knowledge that they will be fully supported by ITRS.

The first application to be available from ITRS is from Parallel Thinking, a member of the ITRS Alliance Programme. The interface was developed in conjunction with ITRS for Informatica Ultra Messaging, a high-speed, low-latency middleware architecture, used by the majority of tier one banks.

The Parallel Thinking interface provides a complete view of the technology supporting transaction flows and reduces the time for diagnostic analysis from hours to minutes. Unusual application behaviour is identified very quickly, helping mitigate risk. The interface improves performance by providing visibility of factors contributing to application latency; it also collects historical data for further analysis, which can be fed into Geneos.

“As part of the real-time APM technology ITRS Geneos includes unique, enterprise-wide, predictive monitoring and multiple levels of proactive management," said John Crackett, CEO of Parallel Thinking. "Without the Parallel Thinking interface, institutions using Informatica Ultra Messaging had no clear visibility of their systems and were unable to monitor all factors contributing to latency. Now they can see key monitoring data through Geneos, enabling them to continually manage their systems.”

Kevin Covington, CEO of ITRS Group Ltd, added, “This is a significant step forward for ITRS in meeting the needs of our clients. They are already seeing the benefits of a one-stop-shop and as we make more and more applications available, the advantages will become even more apparent. We are working on a number of interfaces, which we will be announcing shortly.”

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ITRS Announces Full Support for 3rd Party Apps

ITRS Group, a provider of specialist APM technology to the world’s financial community, is now providing full support for third party applications.

A host of new interfaces will be available from and supported by ITRS alongside the more than 100 in-house interfaces to the most common financial markets applications ITRS already provides.

Previously, clients needed to go to ISVs to source specialist plug-ins but, in response to client requests, they will now be able to go directly to ITRS for these interfaces, in the knowledge that they will be fully supported by ITRS.

The first application to be available from ITRS is from Parallel Thinking, a member of the ITRS Alliance Programme. The interface was developed in conjunction with ITRS for Informatica Ultra Messaging, a high-speed, low-latency middleware architecture, used by the majority of tier one banks.

The Parallel Thinking interface provides a complete view of the technology supporting transaction flows and reduces the time for diagnostic analysis from hours to minutes. Unusual application behaviour is identified very quickly, helping mitigate risk. The interface improves performance by providing visibility of factors contributing to application latency; it also collects historical data for further analysis, which can be fed into Geneos.

“As part of the real-time APM technology ITRS Geneos includes unique, enterprise-wide, predictive monitoring and multiple levels of proactive management," said John Crackett, CEO of Parallel Thinking. "Without the Parallel Thinking interface, institutions using Informatica Ultra Messaging had no clear visibility of their systems and were unable to monitor all factors contributing to latency. Now they can see key monitoring data through Geneos, enabling them to continually manage their systems.”

Kevin Covington, CEO of ITRS Group Ltd, added, “This is a significant step forward for ITRS in meeting the needs of our clients. They are already seeing the benefits of a one-stop-shop and as we make more and more applications available, the advantages will become even more apparent. We are working on a number of interfaces, which we will be announcing shortly.”

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

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