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Catchpoint Releases Mobile RUM

Catchpoint is excited to announce the release of Mobile RUM, its new native real-user monitoring for mobile applications. 

Built on OpenTelemetry standards, this new capability gives teams comprehensive visibility into mobile experiences, including insights into anything affecting the mobile user experience in the Internet Stack from app code to network conditions. This launch is part of Catchpoint’s broader platform upgrade, which also includes Benchmarks, an expanded global observability network, BGP private peers, and improved AI-driven capabilities.

Catchpoint was an early adopter of OpenTelemetry with its Code Tracing capabilities. Now, by extending OTel to native mobile RUM, Catchpoint empowers customers with the most comprehensive, future-proof observability platform on the market. OpenTelemetry provides a standardized, vendor-neutral approach to instrumenting software for observability, offering benefits such as consistent data collection, enhanced visibility into application performance, and flexibility in choosing monitoring and observability tools. It streamlines the process of gathering and analyzing telemetry data.

“In today's fast-paced digital landscape, the need for robust and reliable native mobile app real user monitoring (RUM) and the need for borderless visibility has never been greater. We are proud to fulfill this need by offering our newest Mobile RUM capabilities, based on OpenTelemetry, to advance the standards of observability, web performance monitoring, and Internet Stack visibility,” says Mehdi Daoudi, CEO at Catchpoint. “By offering these cutting-edge capabilities to our customers, we empower businesses to deliver exceptional native mobile user experiences, optimize app performance, and stay ahead in the competitive mobile market,” he adds.

The Native Mobile SDK RUM capability enables a holistic view of application performance by capturing data from actual, hyperlocal user sessions in real time.

The latest release from Catchpoint is further augmented by new features such as Benchmarks, Connected Devices, Code Tracing add-ons at no additional cost, Internet Sonar enhancements, private BGP, contemporary testing (e.g., Playwright) capabilities, and more. These capabilities collectively provide ultimate visibility into real-world user experience and anything in the Internet Stack that may impact digital experience.

This launch introduces a new feature that facilitates the collection of code tracing data from synthetic tests at no additional cost. With this added visibility, IT operations teams can see everything in the path from the user, across the Internet, and deep into software code traces. This level of insight helps IPM users quickly identify whether a line of code or a database query is impacting an application experience.

“Mobile RUM advances data ownership and portability through OpenTelemetry. By using OpenTelemetry-based tracing, IT teams can uncover deeper insights across broader observability boundaries,” says Serkan Özal, Architect at Catchpoint. “One major auto manufacturer recently switched tracing providers and pointed data to our collectors in just minutes, which dramatically sped up performance troubleshooting.” 

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Catchpoint Releases Mobile RUM

Catchpoint is excited to announce the release of Mobile RUM, its new native real-user monitoring for mobile applications. 

Built on OpenTelemetry standards, this new capability gives teams comprehensive visibility into mobile experiences, including insights into anything affecting the mobile user experience in the Internet Stack from app code to network conditions. This launch is part of Catchpoint’s broader platform upgrade, which also includes Benchmarks, an expanded global observability network, BGP private peers, and improved AI-driven capabilities.

Catchpoint was an early adopter of OpenTelemetry with its Code Tracing capabilities. Now, by extending OTel to native mobile RUM, Catchpoint empowers customers with the most comprehensive, future-proof observability platform on the market. OpenTelemetry provides a standardized, vendor-neutral approach to instrumenting software for observability, offering benefits such as consistent data collection, enhanced visibility into application performance, and flexibility in choosing monitoring and observability tools. It streamlines the process of gathering and analyzing telemetry data.

“In today's fast-paced digital landscape, the need for robust and reliable native mobile app real user monitoring (RUM) and the need for borderless visibility has never been greater. We are proud to fulfill this need by offering our newest Mobile RUM capabilities, based on OpenTelemetry, to advance the standards of observability, web performance monitoring, and Internet Stack visibility,” says Mehdi Daoudi, CEO at Catchpoint. “By offering these cutting-edge capabilities to our customers, we empower businesses to deliver exceptional native mobile user experiences, optimize app performance, and stay ahead in the competitive mobile market,” he adds.

The Native Mobile SDK RUM capability enables a holistic view of application performance by capturing data from actual, hyperlocal user sessions in real time.

The latest release from Catchpoint is further augmented by new features such as Benchmarks, Connected Devices, Code Tracing add-ons at no additional cost, Internet Sonar enhancements, private BGP, contemporary testing (e.g., Playwright) capabilities, and more. These capabilities collectively provide ultimate visibility into real-world user experience and anything in the Internet Stack that may impact digital experience.

This launch introduces a new feature that facilitates the collection of code tracing data from synthetic tests at no additional cost. With this added visibility, IT operations teams can see everything in the path from the user, across the Internet, and deep into software code traces. This level of insight helps IPM users quickly identify whether a line of code or a database query is impacting an application experience.

“Mobile RUM advances data ownership and portability through OpenTelemetry. By using OpenTelemetry-based tracing, IT teams can uncover deeper insights across broader observability boundaries,” says Serkan Özal, Architect at Catchpoint. “One major auto manufacturer recently switched tracing providers and pointed data to our collectors in just minutes, which dramatically sped up performance troubleshooting.” 

The Latest

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 ...

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.