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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

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

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

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...