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ITRS Acquires IP-Label

ITRS signed a definitive agreement to acquire IP-Label, a Digital Experience Monitoring (DEM) provider headquartered in France. 

The acquisition strengthens ITRS's DEM capabilities and significantly expands its European market presence.

IP-Label serves customers across 25 countries through its AI-powered Ekara platform, which provides comprehensive synthetic transaction monitoring (STM), Real User Monitoring (RUM), and AI-driven incident triage to proactively identify and resolve performance issues before they affect customers or employees.

The Ekara platform's capabilities include monitoring of complex web applications, thick client applications, business-critical systems, mobile applications, self-service kiosk and virtual desktop infrastructure (VDI), with deployment options spanning cloud, self-hosted, and hybrid environments. In addition, IP-Label offers strong customer support capabilities through its Test Automation platform. These capabilities complement ITRS's existing DEM offering and market-leading infrastructure and application monitoring solutions.

"Digital experience has become the frontline of business performance and customer satisfaction. IP-Label brings enterprise-grade DEM technology that will accelerate our leadership in this critical category," said Ryan Terpstra, CEO of ITRS. "This acquisition accelerates our transformation into the leading observability platform for the world’s most demanding IT environments. Together with IP-Label, we will deliver holistic observability spanning IT infrastructure, application performance, and digital experience—all with the hybrid capability and configuration that complex and regulated industries require."

"Joining ITRS provides IP-Label with the resources, scale, and observability platform to accelerate our growth trajectory while maintaining our commitment to innovation and customer success," said Philippe Borfiga, Co-CEO of IP-Label. "Together, we offer a highly cost-effective, end-to-end monitoring solution for digital services — from client experience to backend infrastructure. ITRS's deep expertise in serving large enterprises makes them the ideal partner for our next chapter of growth."

The transaction is expected to close in mid-January 2026, subject to customary closing conditions. 

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ITRS Acquires IP-Label

ITRS signed a definitive agreement to acquire IP-Label, a Digital Experience Monitoring (DEM) provider headquartered in France. 

The acquisition strengthens ITRS's DEM capabilities and significantly expands its European market presence.

IP-Label serves customers across 25 countries through its AI-powered Ekara platform, which provides comprehensive synthetic transaction monitoring (STM), Real User Monitoring (RUM), and AI-driven incident triage to proactively identify and resolve performance issues before they affect customers or employees.

The Ekara platform's capabilities include monitoring of complex web applications, thick client applications, business-critical systems, mobile applications, self-service kiosk and virtual desktop infrastructure (VDI), with deployment options spanning cloud, self-hosted, and hybrid environments. In addition, IP-Label offers strong customer support capabilities through its Test Automation platform. These capabilities complement ITRS's existing DEM offering and market-leading infrastructure and application monitoring solutions.

"Digital experience has become the frontline of business performance and customer satisfaction. IP-Label brings enterprise-grade DEM technology that will accelerate our leadership in this critical category," said Ryan Terpstra, CEO of ITRS. "This acquisition accelerates our transformation into the leading observability platform for the world’s most demanding IT environments. Together with IP-Label, we will deliver holistic observability spanning IT infrastructure, application performance, and digital experience—all with the hybrid capability and configuration that complex and regulated industries require."

"Joining ITRS provides IP-Label with the resources, scale, and observability platform to accelerate our growth trajectory while maintaining our commitment to innovation and customer success," said Philippe Borfiga, Co-CEO of IP-Label. "Together, we offer a highly cost-effective, end-to-end monitoring solution for digital services — from client experience to backend infrastructure. ITRS's deep expertise in serving large enterprises makes them the ideal partner for our next chapter of growth."

The transaction is expected to close in mid-January 2026, subject to customary closing conditions. 

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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 ...

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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.