Skip to main content

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

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

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

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...