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New Relic DEM Released

New Relic launched a fully-integrated, AI-driven Digital Experience Monitoring (DEM) solution to optimize app performance and proactively prevent interruptions in digital experiences.

The enterprise-grade solution offers end-to-end visibility and real-time insights across mobile, web, and AI apps, enabling organizations to deliver high-quality digital experiences across all touchpoints, with new features like New Relic mobile user journeys, New Relic mobile logs, and enhancements to New Relic session replay.

New Relic DEM, part of the New Relic observability platform, monitors real user interactions across all applications, including AI applications, helps identify incorrect AI responses, and flags user friction points. This ensures frictionless and consistent experiences wherever users interact, allowing enterprises to adopt AI with confidence.

New Relic DEM is an integrated solution that combines real user monitoring (RUM) capabilities like browser monitoring, mobile monitoring, and synthetic monitoring, with APM 360, errors inbox, and AI monitoring in a single platform, out of the box. This provides enterprises with an end-to-end view of their customer experience and insights in the context of their entire application stack, helping them measure the health and performance of applications and underlying network and infrastructure from a user point of view. It enables them to pinpoint the root cause of issues and quickly resolve them. It also allows for a better understanding of user behavior and journeys within the apps, helping to design new app features that delight users and drive engagement.

"No enterprise wants to deal with unhappy customers or worse, lose them," said New Relic Chief Product Officer Manav Khurana. "By using a combined DEM and APM solution that is AI-powered, we can prevent user issues, manage incidents more efficiently, and continuously improve experiences. When all monitoring data is in one place, businesses get clearer insights that help them solve problems faster and better. This doesn't just help enterprises to make their customers happier but also allows them to run smoother operations and drive business success."

New Relic’s advanced DEM capabilities drive business outcomes:

- Superior insights without the high costs: The only session replay solution that automatically captures 100% of incidents and records critical user actions leading up to each incident, offering superior insights without the expense of recording every single session.

- The most comprehensive list of mobile platforms: Comprehensive mobile log management supports a wide range of platforms (iOS, Android, watchOS), and popular hybrid frameworks (Xamarin, .NET MAUI, React Native, Flutter, Cordova, and Ionic Capacitor). This enables organizations to detect and mitigate risks across the mobile ecosystem, proactively addressing issues that affect customers.

- Actionable user journeys without event duplication: The only mobile user journeys solution to provide automatic, dynamic, nonlinear charts without event duplication. It delivers detailed insights beyond basic page views, including breadcrumbs, HTTP events, and handled exceptions, facilitating quicker issue resolution and enhancing mobile user experiences.

New Relic DEM is available now

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.

New Relic DEM Released

New Relic launched a fully-integrated, AI-driven Digital Experience Monitoring (DEM) solution to optimize app performance and proactively prevent interruptions in digital experiences.

The enterprise-grade solution offers end-to-end visibility and real-time insights across mobile, web, and AI apps, enabling organizations to deliver high-quality digital experiences across all touchpoints, with new features like New Relic mobile user journeys, New Relic mobile logs, and enhancements to New Relic session replay.

New Relic DEM, part of the New Relic observability platform, monitors real user interactions across all applications, including AI applications, helps identify incorrect AI responses, and flags user friction points. This ensures frictionless and consistent experiences wherever users interact, allowing enterprises to adopt AI with confidence.

New Relic DEM is an integrated solution that combines real user monitoring (RUM) capabilities like browser monitoring, mobile monitoring, and synthetic monitoring, with APM 360, errors inbox, and AI monitoring in a single platform, out of the box. This provides enterprises with an end-to-end view of their customer experience and insights in the context of their entire application stack, helping them measure the health and performance of applications and underlying network and infrastructure from a user point of view. It enables them to pinpoint the root cause of issues and quickly resolve them. It also allows for a better understanding of user behavior and journeys within the apps, helping to design new app features that delight users and drive engagement.

"No enterprise wants to deal with unhappy customers or worse, lose them," said New Relic Chief Product Officer Manav Khurana. "By using a combined DEM and APM solution that is AI-powered, we can prevent user issues, manage incidents more efficiently, and continuously improve experiences. When all monitoring data is in one place, businesses get clearer insights that help them solve problems faster and better. This doesn't just help enterprises to make their customers happier but also allows them to run smoother operations and drive business success."

New Relic’s advanced DEM capabilities drive business outcomes:

- Superior insights without the high costs: The only session replay solution that automatically captures 100% of incidents and records critical user actions leading up to each incident, offering superior insights without the expense of recording every single session.

- The most comprehensive list of mobile platforms: Comprehensive mobile log management supports a wide range of platforms (iOS, Android, watchOS), and popular hybrid frameworks (Xamarin, .NET MAUI, React Native, Flutter, Cordova, and Ionic Capacitor). This enables organizations to detect and mitigate risks across the mobile ecosystem, proactively addressing issues that affect customers.

- Actionable user journeys without event duplication: The only mobile user journeys solution to provide automatic, dynamic, nonlinear charts without event duplication. It delivers detailed insights beyond basic page views, including breadcrumbs, HTTP events, and handled exceptions, facilitating quicker issue resolution and enhancing mobile user experiences.

New Relic DEM is available now

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.