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Dynatrace Introduces New Digital Performance Platform

Dynatrace announced the new release of Dynatrace Application Monitoring and User Experience Management which brings businesses a new level of visibility and insights into their customers’ digital experience.

The intuitive new customer experience cockpit opens the door to a new era in the management of mobile and web channels, by enabling business owners and IT professionals to gain clear, unified and actionable intelligence, in real-time, about their customers and the performance of the apps they are interacting with. Digital business owners, development and IT operations can now collaborate on a shared, real-time perspective focused squarely on the end-user experience.

Dynatrace’s new digital performance platform gives digital business owners a graphical, real-time view of their users’ satisfaction — not just binary pass/fail metrics or page views. Through intuitive, visual tiles that analyze individual and aggregate data about customer journeys, line-of-business owners can understand users’ actions across channels, device and connection types and the experience delivered. This easy-to-consume, holistic view into individual end-to-end experience empowers business stakeholders to detect and respond quickly to the changing demands of their users. Application performance and customer experience are inseparable in the digital economy. Managing them cohesively from the end user’s point of view is crucial to survival and success. Businesses can now understand every customer experience across all digital channels in real-time.

Major innovations in this release include:

- Customer experience cockpit – one click collaboration: Enabling business teams to precisely understand the experience they deliver to every customer across multiple channels. Users can track specific site visits, package technical details and context together and send to IT with one click, so operations and development responses are informed by real-time actionable performance data and real-user experience insight. Built for extreme flexibility and ease-of-use, the cockpit can be accessed anywhere — from touch-enabled devices to full-blown customer experience centers.

- Stronger, faster fact-based insights and use-case analytics: Dynatrace’s big data analytics engine now streamlines data analysis for every user. With pre-built common use cases, it pulls relevant information from millions of transactions in real-time to enable multi-dimensional analytics to quickly identify patterns, predict problems and make informed decisions.

- See what matters to you — fast: New UEM world and regional map views give line-of-business and IT leaders an at-a-glance view of their global users’ experience. Support people can drill down to the individual visit level with a single search term to see the contextual data around issues to resolve them quickly and efficiently.

“Dynatrace has always helped organizations improve customer experiences. But in today’s digital economy, focusing on end-user experience is more crucial than ever. Today, businesses must be digital-first and user-centric. We believe if you’re not focusing on the first, you can’t be successful with the second and all of it depends on your applications,” said Steve Tack, SVP of Product Management at Dynatrace. “Because of this, we have delivered the first platform that truly measures and manages digital end-user experience and translates it into actionable information for each role in the value delivery chain. Whether you’re line of business, development, or operations—we help you deliver superior business results. Executives can now use real-time digital intelligence to launch new initiatives with confidence, reduce all operational complexity and get to market before their competition.”

Other new capabilities in Dynatrace 6.2 include:

- Continuous Delivery: New test overview and test results dashlets enable DevOps teams to track, compare and identify performance problems build per build, creating total confidence in the quality of apps before handing off to production.

- New Global Resource View of Application Infrastructure: Enables infrastructure teams managing enterprise, virtual, hybrid and cloud-based systems to organize and monitor all of their infrastructure metrics in one unified dashboard.

- New and Enhanced Agents: for MongoDB, Node.js, IBM WebSphere Liberty Profile, IIB9, TIBCO Rendez-vous, RabbitMQ, Hybris and more.

The Latest

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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 ...

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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 ...

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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.

Dynatrace Introduces New Digital Performance Platform

Dynatrace announced the new release of Dynatrace Application Monitoring and User Experience Management which brings businesses a new level of visibility and insights into their customers’ digital experience.

The intuitive new customer experience cockpit opens the door to a new era in the management of mobile and web channels, by enabling business owners and IT professionals to gain clear, unified and actionable intelligence, in real-time, about their customers and the performance of the apps they are interacting with. Digital business owners, development and IT operations can now collaborate on a shared, real-time perspective focused squarely on the end-user experience.

Dynatrace’s new digital performance platform gives digital business owners a graphical, real-time view of their users’ satisfaction — not just binary pass/fail metrics or page views. Through intuitive, visual tiles that analyze individual and aggregate data about customer journeys, line-of-business owners can understand users’ actions across channels, device and connection types and the experience delivered. This easy-to-consume, holistic view into individual end-to-end experience empowers business stakeholders to detect and respond quickly to the changing demands of their users. Application performance and customer experience are inseparable in the digital economy. Managing them cohesively from the end user’s point of view is crucial to survival and success. Businesses can now understand every customer experience across all digital channels in real-time.

Major innovations in this release include:

- Customer experience cockpit – one click collaboration: Enabling business teams to precisely understand the experience they deliver to every customer across multiple channels. Users can track specific site visits, package technical details and context together and send to IT with one click, so operations and development responses are informed by real-time actionable performance data and real-user experience insight. Built for extreme flexibility and ease-of-use, the cockpit can be accessed anywhere — from touch-enabled devices to full-blown customer experience centers.

- Stronger, faster fact-based insights and use-case analytics: Dynatrace’s big data analytics engine now streamlines data analysis for every user. With pre-built common use cases, it pulls relevant information from millions of transactions in real-time to enable multi-dimensional analytics to quickly identify patterns, predict problems and make informed decisions.

- See what matters to you — fast: New UEM world and regional map views give line-of-business and IT leaders an at-a-glance view of their global users’ experience. Support people can drill down to the individual visit level with a single search term to see the contextual data around issues to resolve them quickly and efficiently.

“Dynatrace has always helped organizations improve customer experiences. But in today’s digital economy, focusing on end-user experience is more crucial than ever. Today, businesses must be digital-first and user-centric. We believe if you’re not focusing on the first, you can’t be successful with the second and all of it depends on your applications,” said Steve Tack, SVP of Product Management at Dynatrace. “Because of this, we have delivered the first platform that truly measures and manages digital end-user experience and translates it into actionable information for each role in the value delivery chain. Whether you’re line of business, development, or operations—we help you deliver superior business results. Executives can now use real-time digital intelligence to launch new initiatives with confidence, reduce all operational complexity and get to market before their competition.”

Other new capabilities in Dynatrace 6.2 include:

- Continuous Delivery: New test overview and test results dashlets enable DevOps teams to track, compare and identify performance problems build per build, creating total confidence in the quality of apps before handing off to production.

- New Global Resource View of Application Infrastructure: Enables infrastructure teams managing enterprise, virtual, hybrid and cloud-based systems to organize and monitor all of their infrastructure metrics in one unified dashboard.

- New and Enhanced Agents: for MongoDB, Node.js, IBM WebSphere Liberty Profile, IIB9, TIBCO Rendez-vous, RabbitMQ, Hybris and more.

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.