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ITRS and Netuitive Deliver Real-Time Composite IT Health Score

Netuitive, a provider of predictive analytics software for IT, and ITRS Group, a provider of real-time proactive application performance monitoring (APM) solutions to the financial community, announced a strategic technology partnership to jointly deliver the industry’s first “Composite IT Health Score” (CHS) for financial institutions.

Unlike domain-specific heath scores and indices, CHS is the output of comprehensive analysis and correlation of critical IT data, as well as transaction metrics from existing infrastructure and APM toolsets across an organization’s IT silos, platforms and vendors.

Powered by its patented Behavior Learning Engine, Netuitive is an open, predictive analytics platform that sits on top of an organization’s monitoring tools and infrastructure. It leverages advanced statistical analysis and algorithms that automatically detect anomalies, forecasting problems before they cascade and cause outages.

For the first time, large financial institutions can have a complete view of the health of their critical applications based on correlation of real-time data such as infrastructure, application and network statistics, as well as business metrics, such as availability, latency and transaction rates.

Both companies already count 8 of the world’s 10 largest banks as clients; by partnering with ITRS, Netuitive will offer the most complete set of interfaces to the services and data feeds on which the financial services IT organizations depend. Netuitive integrates its award-winning behavioral learning technology with application performance metrics gathered by the ITRS Geneos platform.

The ITRS Geneos platform collects real-time metrics across an institution’s complex trading infrastructure, providing information such as:

• Relative latency of high-speed executable price feeds coming directly from exchanges through to the status of underlying valuation pricing and instrument reference data.

• Critical insight into real-time transaction flows, incoming market data feeds and underlying technology transport middleware systems.

• Real-time operational performance of proprietary market data systems and trading gateways.

• Visibility of trading infrastructures by looking inside trading applications to determine that market data updates are occurring as expected.

• Monitoring of a wide range of systems, including the industry-standard Thomson Elektron platform, hundreds of commercial and proprietary trading and financial messaging applications, log files, and numerous in-house applications.

“The combination of ITRS and Netuitive will provide clients with the most comprehensive and accurate real-time analytics platform available in the industry today,” said Kevin Covington, CEO of ITRS Group. “CHS offers a powerful set of integrated monitoring tools based on advanced levels of predictive, self-learning technology. The joint installations are a natural extension of the capabilities of ITRS Geneos. Together, we will provide highly sophisticated real-time monitoring, as well as correlation of the operational behaviors and interdependencies of the systems and applications within an institution’s entire technology stack.”

“By combining ITRS Geneos access to financial applications with our ability to correlate complex real time IT and business metrics across silos and domains, we are delivering new levels of cross-platform insight and the ability to significantly reduce service disruptions,” said Nicola Sanna, CEO, Netuitive. “This type of actionable intelligence provides an extra level of service assurance required for mission critical apps, particularly in banking and capital markets, to minimize operational risk, reduce failed customer interactions and protect revenue streams.”

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Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

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ITRS and Netuitive Deliver Real-Time Composite IT Health Score

Netuitive, a provider of predictive analytics software for IT, and ITRS Group, a provider of real-time proactive application performance monitoring (APM) solutions to the financial community, announced a strategic technology partnership to jointly deliver the industry’s first “Composite IT Health Score” (CHS) for financial institutions.

Unlike domain-specific heath scores and indices, CHS is the output of comprehensive analysis and correlation of critical IT data, as well as transaction metrics from existing infrastructure and APM toolsets across an organization’s IT silos, platforms and vendors.

Powered by its patented Behavior Learning Engine, Netuitive is an open, predictive analytics platform that sits on top of an organization’s monitoring tools and infrastructure. It leverages advanced statistical analysis and algorithms that automatically detect anomalies, forecasting problems before they cascade and cause outages.

For the first time, large financial institutions can have a complete view of the health of their critical applications based on correlation of real-time data such as infrastructure, application and network statistics, as well as business metrics, such as availability, latency and transaction rates.

Both companies already count 8 of the world’s 10 largest banks as clients; by partnering with ITRS, Netuitive will offer the most complete set of interfaces to the services and data feeds on which the financial services IT organizations depend. Netuitive integrates its award-winning behavioral learning technology with application performance metrics gathered by the ITRS Geneos platform.

The ITRS Geneos platform collects real-time metrics across an institution’s complex trading infrastructure, providing information such as:

• Relative latency of high-speed executable price feeds coming directly from exchanges through to the status of underlying valuation pricing and instrument reference data.

• Critical insight into real-time transaction flows, incoming market data feeds and underlying technology transport middleware systems.

• Real-time operational performance of proprietary market data systems and trading gateways.

• Visibility of trading infrastructures by looking inside trading applications to determine that market data updates are occurring as expected.

• Monitoring of a wide range of systems, including the industry-standard Thomson Elektron platform, hundreds of commercial and proprietary trading and financial messaging applications, log files, and numerous in-house applications.

“The combination of ITRS and Netuitive will provide clients with the most comprehensive and accurate real-time analytics platform available in the industry today,” said Kevin Covington, CEO of ITRS Group. “CHS offers a powerful set of integrated monitoring tools based on advanced levels of predictive, self-learning technology. The joint installations are a natural extension of the capabilities of ITRS Geneos. Together, we will provide highly sophisticated real-time monitoring, as well as correlation of the operational behaviors and interdependencies of the systems and applications within an institution’s entire technology stack.”

“By combining ITRS Geneos access to financial applications with our ability to correlate complex real time IT and business metrics across silos and domains, we are delivering new levels of cross-platform insight and the ability to significantly reduce service disruptions,” said Nicola Sanna, CEO, Netuitive. “This type of actionable intelligence provides an extra level of service assurance required for mission critical apps, particularly in banking and capital markets, to minimize operational risk, reduce failed customer interactions and protect revenue streams.”

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...