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Compuware Delivers 360 Degree Load Testing Solution

Helping Organizations Find and Fix Performance and Scalability Problems

Compuware Corporation has introduced the industry's first load testing solution that enables organizations to find and fix performance and scalability problems across the entire application delivery chain — from the First Mile to the Last Mile.

Compuware Gomez 360° Web Load Testing brings together two industry-leading testing solutions — Gomez Web Load Testing and dynaTrace Test Center Edition — into one integrated offering.

The new solution accelerates time-to-market by quickly identifying user experience performance problems and isolating the root cause down to the line of code. This saves time and money by enabling collaboration across organizations throughout the application lifecycle and reducing testing iterations.

Building on the dynaTrace acquisition, Gomez 360° Web Load Testing represents the next step in Compuware's application performance management (APM) strategy of building next-generation APM solutions that bring customers greater business value.

"Gartner is seeing continued challenges for organizations to accurately load test applications," says Thomas Murphy, Research Director at Gartner. "Today's web applications have increased in complexity and dependency on third party content and services. Blind spots are increasing, yet business is pressuring IT to deliver faster which creates increased potential for very costly failures in production. The ability to have a complete view of performance enables the test and development team to work together in a more efficient way to drill down from user experience to where the issues are. This is driving a market need for enhancing traditional load-test solutions with server-side performance monitoring solutions."

The application delivery chain has become more complex with content and Web services delivered to end users' browsers from multiple sources. An average Web transaction includes components delivered from over eight hosts — many originating outside the data center such as content delivery networks (CDNs), news feeds, ads, analytics, bill payment and e-commerce platforms.

Gomez 360° Web Load Testing combines high volume cloud-based load with geo-based realistic load from Gomez's network of over 150,000 Last Mile locations to find problems across the entire Web application delivery chain.

Gomez 360° Web Load Testing uses dynaTrace's PurePath Technology for transaction-pure detail, complete with code-level context, for 100 percent of the transactions run during load testing. All sessions are recorded continuously for off-line analysis and team collaboration. This detail provides complete visibility into how applications behave under load and spots problems in an organization's own and third-party code. The ability to work offline means that distributed teams can now work as one without confusion or delay. Third-party vendors can be easily integrated into the process without finger-pointing or guesswork. Everything goes faster, results are comprehensive and friction is gone.

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 Delivers 360 Degree Load Testing Solution

Helping Organizations Find and Fix Performance and Scalability Problems

Compuware Corporation has introduced the industry's first load testing solution that enables organizations to find and fix performance and scalability problems across the entire application delivery chain — from the First Mile to the Last Mile.

Compuware Gomez 360° Web Load Testing brings together two industry-leading testing solutions — Gomez Web Load Testing and dynaTrace Test Center Edition — into one integrated offering.

The new solution accelerates time-to-market by quickly identifying user experience performance problems and isolating the root cause down to the line of code. This saves time and money by enabling collaboration across organizations throughout the application lifecycle and reducing testing iterations.

Building on the dynaTrace acquisition, Gomez 360° Web Load Testing represents the next step in Compuware's application performance management (APM) strategy of building next-generation APM solutions that bring customers greater business value.

"Gartner is seeing continued challenges for organizations to accurately load test applications," says Thomas Murphy, Research Director at Gartner. "Today's web applications have increased in complexity and dependency on third party content and services. Blind spots are increasing, yet business is pressuring IT to deliver faster which creates increased potential for very costly failures in production. The ability to have a complete view of performance enables the test and development team to work together in a more efficient way to drill down from user experience to where the issues are. This is driving a market need for enhancing traditional load-test solutions with server-side performance monitoring solutions."

The application delivery chain has become more complex with content and Web services delivered to end users' browsers from multiple sources. An average Web transaction includes components delivered from over eight hosts — many originating outside the data center such as content delivery networks (CDNs), news feeds, ads, analytics, bill payment and e-commerce platforms.

Gomez 360° Web Load Testing combines high volume cloud-based load with geo-based realistic load from Gomez's network of over 150,000 Last Mile locations to find problems across the entire Web application delivery chain.

Gomez 360° Web Load Testing uses dynaTrace's PurePath Technology for transaction-pure detail, complete with code-level context, for 100 percent of the transactions run during load testing. All sessions are recorded continuously for off-line analysis and team collaboration. This detail provides complete visibility into how applications behave under load and spots problems in an organization's own and third-party code. The ability to work offline means that distributed teams can now work as one without confusion or delay. Third-party vendors can be easily integrated into the process without finger-pointing or guesswork. Everything goes faster, results are comprehensive and friction is gone.

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 ...