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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.

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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.

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As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 3 covers barriers and challenges for AI ...