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Dynatrace Announces Enhanced Real User Monitoring to Unify Application Observability

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real user monitoring technical
Real user monitoring is a method of tracking how actual customers interact with a website or app by measuring load times, errors, clicks and navigation paths as they happen. Think of it as watching shoppers move through a store to see where they slow down or get stuck; for investors it reveals product quality, customer experience and potential revenue risk, and helps assess operational health and technology execution.
telemetry technical
Telemetry is the automatic collection and transmission of measurements from remote devices, systems, or patients to a central system for monitoring and analysis—like a car sending engine, speed and location data back to a dashboard. For investors it matters because telemetry provides real-time evidence of product performance, safety and user behavior, helping assess revenue potential, operational risk, regulatory compliance and whether a product is meeting market demand.
single-page applications technical
A single-page application (SPA) is a website or web app that loads one main page and updates its content dynamically as you interact, so navigation feels like a native mobile app rather than reloading whole pages. For investors, SPAs can boost user engagement and ad or subscription revenue through faster, smoother browsing, but they also bring technical trade-offs—like harder search indexing, performance tuning, analytics and compliance challenges—that can affect traffic, costs and monetization.
data lakehouse technical
A data lakehouse is a modern data platform that combines the large, inexpensive storage of a 'data lake' for raw information with the structured, query-ready features of a 'data warehouse,' so businesses can store everything and analyze it faster. For investors, it matters because it can lower data costs, speed up insight generation and reporting, and support better, timelier decisions about performance, risk and strategy—like having a single library that holds both raw manuscripts and an instant searchable catalog.
latency technical
Latency is the time delay between when information or an instruction is created and when it is received, processed, or acted on by a market system or data feed. For investors, that delay can alter the price you receive, cause missed trading opportunities, or increase execution risk — like sending a text to buy an item and the seller acting a few seconds later after the price has changed.
logs, metrics, traces technical
Logs, metrics and traces are three complementary types of system data used to monitor how software and services behave. Logs are timestamped event records like a car’s black box, metrics are regular numeric readings such as speed or fuel level on a dashboard, and traces map the path of a single request through multiple components like a driving route. Investors care because these signals reveal reliability, performance and operational risk that can affect revenue, costs and customer trust.
observability technical
Observability is a company’s ability to see and understand what its software systems are doing by collecting and analyzing signals like logs, metrics and traces. For investors it matters because strong observability reduces the risk of downtime, hidden bugs or security issues, supports faster fixes and efficient scaling, and therefore can protect revenue, lower costs and signal disciplined operations — like having clear gauges and alarms on a complex machine.
LLM-powered services technical
Services driven by large language models—advanced computer programs that read, summarize and generate human-like text—used to power features like automated customer replies, document drafting, research summaries or chat assistants. Investors care because these services can cut labor costs, speed up operations and enable new products much like hiring a fast, tireless assistant, but they also introduce risks around errors, misuse, compliance and changing regulation that can affect revenue and reputation.

Combines front-end telemetry with back-end context, empowering teams to better understand and optimize user experience

LAS VEGAS--(BUSINESS WIRE)--

At Perform, its flagship annual user conference, Dynatrace (NYSE: DT), the leading AI-powered observability platform, announced next-generation Real User Monitoring (RUM) capabilities that deliver unified insights across modern web and mobile applications.

RUM has become essential to understanding how applications perform for real users. But as organizations shift to dynamic, cloud-native, and AI-driven architectures – including LLM-powered services – traditional RUM tools are struggling to keep pace. Legacy approaches often miss critical behaviors in single-page applications (SPAs), asynchronous rendering, and soft navigations, leaving gaps in understanding. These blind spots hinder developers, SREs, and application owners from analyzing user journeys, optimizing performance, and improving business outcomes.

The rapid growth of AI has also introduced new performance challenges, such as unpredictable workloads, latency spikes, and opaque model behavior, which legacy tools simply do not capture.

Dynatrace RUM is the only solution that unifies front-end telemetry with back-end context – logs, metrics, traces, topology, security events, and business data – within an agile platform powered by Grail™, Smartscape, and Dynatrace AI. This provides precise, end-to-end visibility, faster issue resolution, and smarter decision-making.

Key enhancements include:

  • Unified, Actionable Insights and Advanced Analytics: Query front-end performance and session data in the context of logs, metrics, spans, traces, and security events, all stored in Grail, an industry-leading unified data lakehouse that delivers precise, contextual insights from unified data. This connected view supports advanced use cases such as analyzing SPA rendering delays or AI-generated content performance.
  • Purpose-Built Apps for Developers: A dedicated interface that prioritizes grouped errors with end-to-end context, helping developers quickly identify trends and root causes. Apps like Error Inspector streamline troubleshooting and accelerate resolution.
  • Guided Observability Journeys: An intuitive user interface (UI) leads practitioners through problem flows, maintaining context across impacted entities, timeframes, and services. This reduces manual effort and speeds remediation.
  • Behavioral Analysis: Capture user interactions and soft navigations to understand how users move through AI-native and LLM‑enhanced applications. This helps application owners surface experience issues even when backend performance appears healthy.
  • Extended Retention: Now in public preview, free-form analytics via DQL and retention of up to thirteen months enable deep investigations, compliance support, and historical trend analysis, surpassing competitive offerings.

"Capturing real user monitoring data and user interactions in the context of business data is a game-changer,” said Victoria Ruffo, Software Engineering Team Lead at FreedomPay. “Dynatrace RUM enables us to clearly see the performance and effectiveness of our most critical user journeys at the view level - not just pages and apps - so we can now act on insights that truly matter.”

“Dynatrace RUM allows customers to focus on what matters most, whether it’s degrading app performance for SREs, trending errors for developers, or abandoned sessions for support engineers,” said Steven Dickens, Founder and Principal Analyst at HyperFRAME Research. “By delivering RUM within a unified observability platform, Dynatrace eliminates the complexity of teams traversing multiple point solutions, and complements the experience with exploratory user journey analysis that includes out-of-the-box apps, notebooks and dashboards. This makes it easier than ever for teams to move from insight to action without switching tools.”

“Modern applications behave in highly dynamic and unpredictable ways, and teams need answers, not more manual analysis,” said Steve Tack, Chief Product Officer at Dynatrace. “Our next-generation RUM capabilities unify frontend experiences and backend context, automate insights, and help teams continuously validate and optimize how their applications perform for users. In the age of AI, success depends on intelligent automation and precise, real-time context, so teams can innovate more and deliver consistently great user experiences.”

To learn more about Dynatrace’s new RUM capabilities, available now, please visit the Dynatrace blog. To learn more about the announcements made at Perform 2026, visit the Dynatrace newsroom.

About Dynatrace
Dynatrace is advancing observability for today’s digital businesses, helping to transform the complexity of modern digital ecosystems into powerful business assets. By leveraging AI-powered insights, Dynatrace enables organizations to analyze, automate, and innovate faster to drive their business forward. To learn more about how Dynatrace can help your business, visit www.dynatrace.com, visit our blog and follow us on LinkedIn and X @dynatrace.

Curious to see how you can simplify your cloud and maximize the impact of your digital teams? Let us show you. Sign up for a 15-day Dynatrace trial.

Dynatrace, the Dynatrace logo, Grail, and Smartscape are trademarks of the Dynatrace, Inc. group of companies. All other trademarks are the property of their respective owners.

Cautionary Language Concerning Forward-Looking Statements

This press release includes certain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995, including statements regarding Dynatrace’s capabilities, the expected benefits to organizations from using Dynatrace, and the timing for when any capabilities, features, or functionality are expected to be generally available. These forward-looking statements include all statements that are not historical facts and statements identified by words such as “will,” “expects,” “anticipates,” “intends,” “plans,” “believes,” “seeks,” “estimates,” and words of similar meaning. These forward-looking statements reflect our current views about our plans, intentions, expectations, strategies, and prospects, which are based on the information currently available to us and on assumptions we have made. Although we believe that our plans, intentions, expectations, strategies, and prospects as reflected in or suggested by those forward-looking statements are reasonable, we can give no assurance that the plans, intentions, expectations, or strategies will be attained or achieved. Actual results may differ materially from those described in the forward-looking statements and will be affected by a variety of risks and factors that are beyond our control, including the risks set forth under the caption “Risk Factors” in our Annual Report on Form 10-K, subsequent Quarterly Reports on Form 10-Q, and our other SEC filings. We assume no obligation to update any forward-looking statements contained in this document as a result of new information, future events, or otherwise.

Investor Contact:

Noelle Faris

VP, Investor Relations

Noelle.Faris@dynatrace.com



Media Relations:

Dynatrace PR Team

pr-team@dynatrace.com

Source: Dynatrace

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