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Compuware APM Adds Support for Google Chrome

Compuware Corporation announced the availability of Google Chrome browser agent technology within the Compuware Performance Network.

This new Chrome support, combined with Microsoft Internet Explorer and Firefox, continues to extend Compuware's industry-largest global synthetic network with more than 150,000 instrumented IPv4 and IPv6 nodes and end points. The solution is offered on a subscription basis via the SaaS delivery model for fast time-to-value and extremely low ongoing cost to own.

With the addition of Chrome, the APMaaS synthetic monitoring platform now provides coverage of more than 85 percent of the global browser market.

The performance of a web application can vary considerably depending on the browser type, its version and the device it's running on. The Compuware Performance Network offers real browser technology, as opposed to browser emulation or basic HTTP protocol testing. The solution captures and presents the performance differences between browsers, desktop versus mobile access, IPv4 versus IPv6 networks and more. Measuring performance using Compuware APMaaS real browser technology is the only way organizations can truly manage the performance of mission critical customer-facing web applications.

"Our ongoing commitment to our customers is to provide them with the largest, most reliable and most current synthetic monitoring network available on the market," said Steve Tack, VP of Product Management for Compuware's APM business unit. "Users of our APMaaS platform need to ensure they deliver optimal user satisfaction regardless of browser, device or network and we are happy to provide them with the broadest web and mobile support in the industry."

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Compuware APM Adds Support for Google Chrome

Compuware Corporation announced the availability of Google Chrome browser agent technology within the Compuware Performance Network.

This new Chrome support, combined with Microsoft Internet Explorer and Firefox, continues to extend Compuware's industry-largest global synthetic network with more than 150,000 instrumented IPv4 and IPv6 nodes and end points. The solution is offered on a subscription basis via the SaaS delivery model for fast time-to-value and extremely low ongoing cost to own.

With the addition of Chrome, the APMaaS synthetic monitoring platform now provides coverage of more than 85 percent of the global browser market.

The performance of a web application can vary considerably depending on the browser type, its version and the device it's running on. The Compuware Performance Network offers real browser technology, as opposed to browser emulation or basic HTTP protocol testing. The solution captures and presents the performance differences between browsers, desktop versus mobile access, IPv4 versus IPv6 networks and more. Measuring performance using Compuware APMaaS real browser technology is the only way organizations can truly manage the performance of mission critical customer-facing web applications.

"Our ongoing commitment to our customers is to provide them with the largest, most reliable and most current synthetic monitoring network available on the market," said Steve Tack, VP of Product Management for Compuware's APM business unit. "Users of our APMaaS platform need to ensure they deliver optimal user satisfaction regardless of browser, device or network and we are happy to provide them with the broadest web and mobile support in the industry."

Related Links:

Compuware APM

The Latest

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

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While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...