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Compuware Delivers First-of-Its-Kind Application Performance Management Innovation

“First Mile to Last Mile” Visibility and Rapid Time to Value

Compuware Corporation has released a first-of-its-kind SaaS-based application performance management (APM) solution that provides visibility from the First Mile (the data center) to the Last Mile (the end-user).

The new Gomez First Mile, together with Gomez outside-in monitoring, allows organizations whose business depends on Web applications to quickly assess the business impact of a problem and instantly determine whether the cause of the problem resides in the data center, on the Internet, with a third-party provider or with the user’s browser or device. In addition to its unique end-to-end visibility, the Gomez First Mile is being applauded by industry analysts for its ground-breaking speed of implementation, which can deliver value in hours versus traditional data center solutions requiring weeks or months.

“This is a game changing move in application performance management,” saysTony Baer, Senior Analyst with Ovum. “Gomez First Mile is the first solution that unifies real-user and active monitoring to automatically correlate traffic volume, data center, and end-user response time, providing instant visibility into how many users and page views are impacted by internal and external performance issues.”

This represents the next phase in Compuware’s strategic vision of bringing together Enterprise and Internet application performance management and symbolizes a significant milestone in the evolution of APM. Never before have enterprises been able to adopt a single, SaaS-based solution that provides outside-in visibility starting from the end user and extending all the way into the back of the data center.

The Gomez First Mile is delivered as part of Compuware’s Fall 2010 APM release, which includes new versions of the Gomez and Vantage product lines. In this APM-wide product release, Compuware is providing major updates to both the Gomez and Vantage offerings, which are further unified through a new “First Mile to Last Mile” operations dashboard that seamlessly blends diagnostics and metrics from both product lines to instantly determine if a Web performance issue originates in the data center, the Internet, a third-party provider, or a user’s browser or mobile device.

“The Gomez First Mile is a breath of fresh air,” says Dennis Drogseth, Vice President, Enterprise Management Systems. “First Mile combines a cohesive view of application performance inside and outside the firewall with cross-domain awareness – at a price point and time to deployment that should make it hugely attractive.”

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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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Compuware Delivers First-of-Its-Kind Application Performance Management Innovation

“First Mile to Last Mile” Visibility and Rapid Time to Value

Compuware Corporation has released a first-of-its-kind SaaS-based application performance management (APM) solution that provides visibility from the First Mile (the data center) to the Last Mile (the end-user).

The new Gomez First Mile, together with Gomez outside-in monitoring, allows organizations whose business depends on Web applications to quickly assess the business impact of a problem and instantly determine whether the cause of the problem resides in the data center, on the Internet, with a third-party provider or with the user’s browser or device. In addition to its unique end-to-end visibility, the Gomez First Mile is being applauded by industry analysts for its ground-breaking speed of implementation, which can deliver value in hours versus traditional data center solutions requiring weeks or months.

“This is a game changing move in application performance management,” saysTony Baer, Senior Analyst with Ovum. “Gomez First Mile is the first solution that unifies real-user and active monitoring to automatically correlate traffic volume, data center, and end-user response time, providing instant visibility into how many users and page views are impacted by internal and external performance issues.”

This represents the next phase in Compuware’s strategic vision of bringing together Enterprise and Internet application performance management and symbolizes a significant milestone in the evolution of APM. Never before have enterprises been able to adopt a single, SaaS-based solution that provides outside-in visibility starting from the end user and extending all the way into the back of the data center.

The Gomez First Mile is delivered as part of Compuware’s Fall 2010 APM release, which includes new versions of the Gomez and Vantage product lines. In this APM-wide product release, Compuware is providing major updates to both the Gomez and Vantage offerings, which are further unified through a new “First Mile to Last Mile” operations dashboard that seamlessly blends diagnostics and metrics from both product lines to instantly determine if a Web performance issue originates in the data center, the Internet, a third-party provider, or a user’s browser or mobile device.

“The Gomez First Mile is a breath of fresh air,” says Dennis Drogseth, Vice President, Enterprise Management Systems. “First Mile combines a cohesive view of application performance inside and outside the firewall with cross-domain awareness – at a price point and time to deployment that should make it hugely attractive.”

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.