Dynatrace has released a new real user monitoring tool and a set of updates for developers that link front-end telemetry with back-end observability and automation capabilities for agent-based AI workflows.
The company positioned the changes around changes in software delivery related to cloud-native architectures and AI-assisted development. Traditional real-user monitoring approaches overlook behavior in single-page applications, asynchronous rendering, and “soft navigation,” he said. Dynatrace also identified new performance issues related to AI services, including fluctuating workloads and spikes in latency.
RUM update
He said Dynatrace’s next-generation Real User Monitoring integrates web and mobile monitoring with backend context. The company says its approach combines front-end telemetry with logs, metrics, traces, topology, security events, and business data within the Grail data platform. Dynatrace also referenced Smartscape topology mapping and Dynatrace AI.
The company says the upgraded RUM includes query and analysis capabilities across front-end performance and session data along with back-end signals. The team says Connected View can be used to investigate things like rendering delays in single-page applications and the performance of AI-generated content.
As part of the RUM changes, Dynatrace also introduced a dedicated application for developers. We highlighted the Error Inspector, which groups errors and provides end-to-end context. The company said the aim is to more quickly identify trends and root causes.
The RUM update also adds a guided “observability journey” described by Dynatrace. According to the company, this interface guides users through workflows while maintaining context across entities, time frames, and services. We also talked about behavioral analytics, which captures user interactions and soft navigation across applications using AI capabilities.
Another change is the increased retention of data for analysis. According to Dynatrace, free-form analysis with Dynatrace Query Language is currently in public preview and supports retention periods of up to 13 months.
said Victoria Ruffo, Software Engineering Team Leader at FreedomPay.
“Dynatrace RUM allows us to clearly see the performance and effectiveness of our most important user journeys at the view level, not just the page or app, so we can now act on the insights that really matter,” said Ruffo.
“Dynatrace RUM allows customers to focus on what matters most: poor app performance for SREs, trending errors for developers, and 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 for teams across multiple point solutions and complements the experience with exploratory user journey analytics that includes ready-to-use apps, notebooks, and dashboards, making it easier than ever for teams to move from insight to action without switching tools,” said Dickens.
Steve Tack, chief product officer at Dynatrace, said: “Modern applications behave in highly dynamic and unpredictable ways. Teams need answers, not manual analysis.” It’s all about context, so teams can innovate more and deliver a consistently great user experience,” said Tack.
developer tools
Alongside the RUM announcement, Dynatrace detailed extensive developer experience updates that unify frontend, backend, AI telemetry, database, cloud, and mobile data into a single workflow within the platform. Dynatrace said work is focused on its Grail, Smartscape, and Dynatrace Intelligence products.
The company tied developer updates to changes in how it builds and releases software. Dynatrace cited its own research on the adoption of agent AI in product development. It found that 42% of organizations are already using agent AI in customer-facing digital products, and 31% plan to expand over the next five years.
According to Dynatrace, the developer experience release includes enhancements to front-end observability features. The modernized experience integrates RUM data into Grail and adds three new applications, it said. Dynatrace once again referenced Error Inspector as part of its set.
The company has also added mobile diagnostic capabilities. Dynatrace says the tool provides context around application unresponsive events and crashes. This change will reduce debugging time and improve app stability.
Dynatrace also tied the update to its acquisition of feature flagging company DevCycle. Dynatrace said DevCycle is introducing “feature-level runtime controls” and is working on integration. It is said that further updates will be made in the future.
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 change around increased trace volumes and complexity in distributed systems.
Dynatrace also announced “Agent Workflow” and integration via the Dynatrace MCP server. MCP support is said to target Claude, AWS Bedrock AgentCore, and Azure AI Foundry. According to Dynatrace, the goal is automation across multiple clouds and AI environments.
Another update covers the live debugger. Dynatrace said it has expanded support for integrated development environments including Windsurf and Cursor. This change will allow access to live debugging within the programming environment.
One telecommunications company described its experience with developer tools. “Dynatrace’s developer experience features, including a live debugger, allow developers in our organization to spend significantly less time debugging, tweaking, and troubleshooting,” explains Dana Harrison of TELUS. “By reducing our time and focus in these areas, we have more confidence than ever before to build high-quality software and deliver innovation to the business faster. All this without increasing risk. As we look to the future, we know that Dynatrace allows us to increase the productivity of developers within our organization, confidently supporting us on our journey to improve social outcomes through technology.” he explains.
“In the era of vibe coding and AI-assisted engineering, developer experience is no longer just an operational concern, but a key business driver,” said Kate Holterhoff, senior industry analyst at RedMonk. “As developers increasingly rely on AI for code generation, ensuring the quality and performance of their output, especially on front-ends and mobile interfaces, becomes increasingly important. Dynatrace’s observability enhancements in this area, including Real User Monitoring (RUM), Error Inspector, and ANR/Crash Symbolization, provide practitioners with real-time context about user behavior and operational issues, making DevX ,” says Holterhoff.
Steve Tack, chief product officer at Dynatrace, said: “Developers play a critical role in how organizations innovate and shape technology investments that drive long-term value.” “It operationalizes software delivery across native and multi-cloud environments. By unifying delivery, runtime control, and insights on a single platform, we give developers direct control over how their software behaves in production, allowing them to safely experiment, respond quickly, and turn real-world signals into real business impact.”
Dynatrace says some of the enhancements will be available immediately and others will be rolled out over time.
