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Compuware Extends APMaaS Platform With dynaTrace Real User Monitoring

Compuware Corporation announced the convergence of dynaTracePurePath Technology and the Gomez Performance Network, creating a powerful User Experience Management (UEM) solution.

Compuware now offers the industry's only APMaaS solution that provides a complete UEM offering, including real-user, synthetic, third-party service monitoring and business impact analysis.

Compuware's APMaaS delivery model, auto-instrumentation and single-click to root cause diagnostics for both real user and synthetic transactions provides the deepest and broadest insight into application performance with the fastest time-to-value.

Compuware APMaaS is the only solution that enables organizations to optimize user experience, manage performance, availability and service levels from a unified real-user and synthetic perspective, all within a single on-demand platform for fast and easy deployment.

"EMA's extensive research on User Experience Management shows that in a growing number of IT environments, UEM needs to address not just application performance, but capacity planning and business impact, while also shortening development and testing cycles," said Dennis Drogseth, VP at Enterprise Management Associates. "With APMaaS, Compuware has brought together web and mobile application performance, business impact, user behavior, and global ecosystem interdependencies into a unified, on-demand platform. This sets Compuware apart in a marketplace where fragmentation and clutter are still the norm."

Compuware APMaaS provides a single platform for managing performance, availability and service levels across web, mobile and cloud applications and sets a new bar for modern user experience management that includes:

- Real User Monitoring: Complete view of application performance and actual end user experience for all users, browsers, devices and geographies. Understands and quantifies "visits" for expanded use-cases such as help desk. Automatically identifies and monitors all landing pages for better SEO and measures every transaction, including JavaScript/AJAX page actions, mobile tap and swipe, 24/7 in production.

- Synthetic Monitoring: Provides an "outside-in" perspective of web, mobile and cloud application availability and service-levels. Identifies when key pages and transactions are slow or unavailable from multiple geographies around the world before customers are impacted. With PurePath Technology, drill inline into transaction anomalies for faster problem resolution.

- Third-Party Services: Measures the performance of all third-party services like CDNs, ads, social media and video and enables companies to instantly determine if a problem's root cause is internal or due to a specific service provider. Capture sessions for off-line analysis with third-party provider.

- Business Impact: Quantifies the impact of application performance on real-user experience, customer satisfaction and business results. Track real-time conversions, abandonment and revenue alongside performance. Prioritize action based on business 'facts,' not IT guesswork.

"Today more than ever, IT organizations are squeezed between mounting complexity, increased user and business demand, and the manpower and funding to keep up," said John Van Siclen, General Manager of Compuware's APM business unit. "Now, thanks to the convergence of two of our key industry-leading technologies — PurePath from dynaTrace and the Gomez Performance Network — into a single cloud-based environment, customers now have a complete, on-demand solution for application performance management from the user perspective."

Related Links:

More information about the new Compuware APMaaS Platform

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Compuware Extends APMaaS Platform With dynaTrace Real User Monitoring

Compuware Corporation announced the convergence of dynaTracePurePath Technology and the Gomez Performance Network, creating a powerful User Experience Management (UEM) solution.

Compuware now offers the industry's only APMaaS solution that provides a complete UEM offering, including real-user, synthetic, third-party service monitoring and business impact analysis.

Compuware's APMaaS delivery model, auto-instrumentation and single-click to root cause diagnostics for both real user and synthetic transactions provides the deepest and broadest insight into application performance with the fastest time-to-value.

Compuware APMaaS is the only solution that enables organizations to optimize user experience, manage performance, availability and service levels from a unified real-user and synthetic perspective, all within a single on-demand platform for fast and easy deployment.

"EMA's extensive research on User Experience Management shows that in a growing number of IT environments, UEM needs to address not just application performance, but capacity planning and business impact, while also shortening development and testing cycles," said Dennis Drogseth, VP at Enterprise Management Associates. "With APMaaS, Compuware has brought together web and mobile application performance, business impact, user behavior, and global ecosystem interdependencies into a unified, on-demand platform. This sets Compuware apart in a marketplace where fragmentation and clutter are still the norm."

Compuware APMaaS provides a single platform for managing performance, availability and service levels across web, mobile and cloud applications and sets a new bar for modern user experience management that includes:

- Real User Monitoring: Complete view of application performance and actual end user experience for all users, browsers, devices and geographies. Understands and quantifies "visits" for expanded use-cases such as help desk. Automatically identifies and monitors all landing pages for better SEO and measures every transaction, including JavaScript/AJAX page actions, mobile tap and swipe, 24/7 in production.

- Synthetic Monitoring: Provides an "outside-in" perspective of web, mobile and cloud application availability and service-levels. Identifies when key pages and transactions are slow or unavailable from multiple geographies around the world before customers are impacted. With PurePath Technology, drill inline into transaction anomalies for faster problem resolution.

- Third-Party Services: Measures the performance of all third-party services like CDNs, ads, social media and video and enables companies to instantly determine if a problem's root cause is internal or due to a specific service provider. Capture sessions for off-line analysis with third-party provider.

- Business Impact: Quantifies the impact of application performance on real-user experience, customer satisfaction and business results. Track real-time conversions, abandonment and revenue alongside performance. Prioritize action based on business 'facts,' not IT guesswork.

"Today more than ever, IT organizations are squeezed between mounting complexity, increased user and business demand, and the manpower and funding to keep up," said John Van Siclen, General Manager of Compuware's APM business unit. "Now, thanks to the convergence of two of our key industry-leading technologies — PurePath from dynaTrace and the Gomez Performance Network — into a single cloud-based environment, customers now have a complete, on-demand solution for application performance management from the user perspective."

Related Links:

More information about the new Compuware APMaaS Platform

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...