Dynatrace has released new Real User Monitoring tools and a set of developer-focused updates that link front-end telemetry with back-end observability and automation features aimed at agentic AI workflows.
The company positioned the changes around shifts in software delivery tied to cloud-native architectures and AI-assisted development. It said traditional real user monitoring approaches miss behaviour in single-page applications, asynchronous rendering and "soft navigations". Dynatrace also pointed to new performance issues tied to AI services, including variable workloads and latency spikes.
RUM updates
Dynatrace said its next-generation Real User Monitoring unifies web and mobile monitoring with back-end context. The company said the approach combines front-end telemetry with logs, metrics, traces, topology, security events and business data inside its Grail data platform. Dynatrace also referenced its Smartscape topology mapping and Dynatrace AI.
The company said the upgraded RUM includes query and analytics functions across front-end performance and session data alongside back-end signals. It said teams can use the connected view for investigations such as single-page application rendering delays and the performance of AI-generated content.
Dynatrace also introduced purpose-built applications for developers as part of the RUM changes. It highlighted Error Inspector, which groups errors and presents end-to-end context. The company said the intent is faster identification of trends and root causes.
The RUM update also adds what Dynatrace described as guided "observability journeys". The company said the interface leads users through workflows while keeping context across entities, timeframes and services. It also cited behavioural analysis that captures user interactions and soft navigations across applications that use AI features.
Another change is longer data retention for analysis. Dynatrace said free-form analytics via Dynatrace Query Language is now in public preview and supports up to 13 months of retention.
"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, 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," said Ruffo.
"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, 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," said Dickens.
"Modern applications behave in highly dynamic and unpredictable ways, and teams need answers, not more manual analysis," said Steve Tack, Chief Product Officer, 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," said Tack.
Developer tooling
Alongside the RUM announcement, Dynatrace detailed a broader set of developer experience updates that combine frontend, backend, AI telemetry, database, cloud and mobile data into a single workflow inside its platform. Dynatrace said the work centres on its Grail, Smartscape and Dynatrace Intelligence products.
The company connected the developer updates to changes in how software gets built and released. Dynatrace cited its own research on adoption of agentic AI in product development. It said 42% of organisations already use agentic AI in customer-facing digital products and 31% plan expansion in the next five years.
Dynatrace said the developer experience release includes expanded frontend observability functions. It said the modernised experience unifies RUM data in Grail and adds three new applications. Dynatrace again referenced Error Inspector as part of that set.
The company also added mobile diagnostics features. Dynatrace said the tooling provides context around Application Not Responding events and crashes. It said the changes reduce debugging time and improve app stability.
Dynatrace also linked the updates to its acquisition of feature flagging firm DevCycle. Dynatrace said DevCycle introduces "feature-level runtime controls" and that it is working on integration. It said further updates will follow.
The company also described changes to tracing across AI services, databases and cloud platforms. Dynatrace said it can link AI calls, application services, databases and infrastructure signals in a single view. It framed the change around the rise in trace volume and complexity in distributed systems.
Dynatrace also announced "agentic workflows" and integrations through its Dynatrace MCP Server. It said the MCP support covers Claude, AWS Bedrock AgentCore and Azure AI Foundry. Dynatrace said the aim is automation across multiple clouds and AI environments.
Another update covers Live Debugger. Dynatrace said it has expanded support for integrated development environments including Windsurf and Cursor. It said the change places access to live debugging inside the programming environment.
A telecoms company described its experience with the developer tooling. "Developers within our organisation are spending significantly less time now debugging, coordinating, and troubleshooting thanks to Dynatrace's developer experience capabilities, including Live Debugger," explains Dana Harrison at TELUS. "By reducing time and focus in these areas, we've been able to pivot efforts to build high-quality software with greater confidence than ever, delivering innovations faster for our business. This has all been done with no increase in risk. As we look to the future, we know we can increase developer productivity within our organization thanks to Dynatrace, confidently supporting us on our journey to improve social outcomes through technology," explains Harrison at TELUS.
"In the era of vibe coding and AI-assisted engineering, developer experience is a critical business driver, not a mere operational concern," said Kate Holterhoff, senior industry analyst at RedMonk. "With developers increasingly relying on AI for code generation, the importance of ensuring the quality and performance of that output-especially on the frontend and mobile interfaces-is amplified. Dynatrace's observability enhancements in this area including Real User Monitoring (RUM), Error Inspector, and ANR/crash symbolisation supports DevX by providing practitioners with real-time context into user behavior and production issues," said Holterhoff.
"Developers play a defining role in how organisations innovate and shape the technology investments that drive long-term value," said Steve Tack, Chief Product Officer, Dynatrace. "The latest enhancements from Dynatrace enhance developer impact, improve release confidence, and operationalise software delivery across cloud native, AI native, and multicloud environments. By unifying delivery, runtime control, and insight on a single platform, we give developers direct control over how software behaves in production-so they can experiment safely, respond quickly, and turn real-world signals into real business impact," said Tack.
Dynatrace said some of the enhancements are available immediately, with others scheduled for rollout over time.