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Compuware APMaaS Platform Now Available

Compuware Corporation announced the availability of the new Compuware APMaaS Platform.

The platform now offers a simplified, zero-configuration user interface for quick time-to-value. Customers are now able to manage mobile, web, and third-party performance, powered by its global third-party service monitoring platform, Outage Analyzer, in a single view.

Performance management is now easier and more powerful than ever with the APMaaS platform, resulting in faster problem resolution, increased website uptime and optimized user experience for customers.

The breadth of its synthetic monitoring platform — which includes the broadest browser, real user and mobile coverage on the market—sets Compuware APMaaS apart from other solutions.

Additionally, automatic third-party service monitoring takes it far beyond what other synthetic monitoring services offer.

"Our customers leverage third-party providers for a variety of strategic reasons including performance optimization, social, web analytics and advertisements," said Steve Tack, VP of Product Management for Compuware's APM business unit. "Generally, third-party performance is outside the control of IT operations, but they still need visibility into their performance because it impacts the overall user experience. By providing a simple and easy way to automatically identify third-parties and monitor them proactively, companies are able to ensure third-parties are positively supporting the business."

The new generation APMaaS platform now includes:

- Zero-Configuration Performance Dashboard: The new performance dashboard delivers instant value to IT operations, application owners, and application support teams from Compuware's APMaaS Synthetic Monitoring platform via a web interface. It provides a real-time global perspective of performance, availability, alerts, errors and more, including third-party application components. It makes data collected by Compuware's APMaaS global synthetic monitoring network easy to understand and navigate.

- Automatic Third-Party Service Monitoring and Analysis: New third-party service monitoring is powered by the Outage Analyzer technology platform. Utilizing the collective intelligence of the Compuware APMaaS platform, the analytics engine automatically detects third-party services and analyzes them in real-time for global or regional outages and performance degradations. New with this release is the personalization of outage information. Compuware APMaaS now automatically identifies which third-party customers are using, what the real-time performance of third-parties is for them, and proactively notifies customers in real-time if a global or regional outage or performance degradation is detected or is affecting them.

Related Links:

More information about Compuware APMaaS

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Compuware APMaaS Platform Now Available

Compuware Corporation announced the availability of the new Compuware APMaaS Platform.

The platform now offers a simplified, zero-configuration user interface for quick time-to-value. Customers are now able to manage mobile, web, and third-party performance, powered by its global third-party service monitoring platform, Outage Analyzer, in a single view.

Performance management is now easier and more powerful than ever with the APMaaS platform, resulting in faster problem resolution, increased website uptime and optimized user experience for customers.

The breadth of its synthetic monitoring platform — which includes the broadest browser, real user and mobile coverage on the market—sets Compuware APMaaS apart from other solutions.

Additionally, automatic third-party service monitoring takes it far beyond what other synthetic monitoring services offer.

"Our customers leverage third-party providers for a variety of strategic reasons including performance optimization, social, web analytics and advertisements," said Steve Tack, VP of Product Management for Compuware's APM business unit. "Generally, third-party performance is outside the control of IT operations, but they still need visibility into their performance because it impacts the overall user experience. By providing a simple and easy way to automatically identify third-parties and monitor them proactively, companies are able to ensure third-parties are positively supporting the business."

The new generation APMaaS platform now includes:

- Zero-Configuration Performance Dashboard: The new performance dashboard delivers instant value to IT operations, application owners, and application support teams from Compuware's APMaaS Synthetic Monitoring platform via a web interface. It provides a real-time global perspective of performance, availability, alerts, errors and more, including third-party application components. It makes data collected by Compuware's APMaaS global synthetic monitoring network easy to understand and navigate.

- Automatic Third-Party Service Monitoring and Analysis: New third-party service monitoring is powered by the Outage Analyzer technology platform. Utilizing the collective intelligence of the Compuware APMaaS platform, the analytics engine automatically detects third-party services and analyzes them in real-time for global or regional outages and performance degradations. New with this release is the personalization of outage information. Compuware APMaaS now automatically identifies which third-party customers are using, what the real-time performance of third-parties is for them, and proactively notifies customers in real-time if a global or regional outage or performance degradation is detected or is affecting them.

Related Links:

More information about Compuware APMaaS

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 ...