Skip to main content

WebPageTest Fully Integrated into Catchpoint Platform

Catchpoint announced a major evolution of WebPageTest, now fully enterprise-grade and integrated into the Catchpoint Platform.

With this upgrade, Catchpoint expands WebPageTest’s capabilities far beyond page load metrics. The tool now delivers a comprehensive view across the Internet Stack, including global synthetics, Real User Monitoring (RUM), user journeys, DNS, CDN, and more.

For years, the web performance community has trusted WebPageTest for its deep diagnostics, unmatched visibility, and actionable optimization guidance. This includes filmstrips, opportunities, and no-code experiments that teams rely on daily. With this launch, WebPageTest builds on that proven legacy, adding scheduled tests, AI-powered dashboards, alerting, and multi-user access for team collaboration as standard — delivering enterprise-grade power, global Internet visibility, and intelligence.

WebPageTest offers a complete view of digital experience in the industry, moving beyond front-end code to include every aspect of Internet performance that impacts users. With unified, end-to-end insights, only WebPageTest empowers teams to move faster, dig deeper, and ensure the best digital experience across the Internet Stack.

For organizations looking to expand toward enterprise-grade visibility and deeper insights, new capabilities are now available within the Catchpoint platform, enabling advanced monitoring, analytics, and automation across the full Internet Stack.

Key capabilities now available with IPM

  • Holistic Digital Experience Scores: Advanced scoring with experience-level objectives (XLOs).
  • Visibility and Diagnostics: Classic WebPageTest waterfalls and filmstrips, enhanced with AI-powered dashboards.
  • AI-Powered Digital Dependency Map of your web application or service with automated root cause analysis and correlation with internet outages.
  • Intelligent Monitoring Strategy guidance and setup with Catchpoint Advisor
  • Unified Monitoring: RUM + advanced synthetics in one platform.
  • Opportunities & No-Code Experiments: Rapid iteration without engineering overhead.
  • Session Replay: Full context into end-user journeys.
  • Enterprise-Grade Scale & Reach: 3,000+ global monitoring agents, full Internet Stack visibility, long-term data retention, unlimited users, SSO, and workflow integrations.

“This is not just a reboot, it’s a rebirth,” said Mehdi Daoudi, CEO of Catchpoint. “With WebPageTest fully integrated into the Catchpoint platform, web teams can finally go beyond page metrics to monitor and optimize the entire end-user experience. Whether protecting revenue, safeguarding SEO, or earning customer trust, WebPageTest now delivers the accuracy, performance guidance, scale, and global visibility enterprises need to thrive.”

“By uniting synthetics, RUM, DNS, and CDN visibility, we’re giving teams the power to detect, diagnose, and resolve issues across the full Internet Stack, before users ever notice,” said Dritan Suljoti, CTO of Catchpoint. “And now, by bringing front-end teams and SREs together on a common platform with shared data, dashboards, and workflows, WebPageTest empowers everyone to speak the same language of digital experience and work collaboratively to optimize every user’s journey.”

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.

WebPageTest Fully Integrated into Catchpoint Platform

Catchpoint announced a major evolution of WebPageTest, now fully enterprise-grade and integrated into the Catchpoint Platform.

With this upgrade, Catchpoint expands WebPageTest’s capabilities far beyond page load metrics. The tool now delivers a comprehensive view across the Internet Stack, including global synthetics, Real User Monitoring (RUM), user journeys, DNS, CDN, and more.

For years, the web performance community has trusted WebPageTest for its deep diagnostics, unmatched visibility, and actionable optimization guidance. This includes filmstrips, opportunities, and no-code experiments that teams rely on daily. With this launch, WebPageTest builds on that proven legacy, adding scheduled tests, AI-powered dashboards, alerting, and multi-user access for team collaboration as standard — delivering enterprise-grade power, global Internet visibility, and intelligence.

WebPageTest offers a complete view of digital experience in the industry, moving beyond front-end code to include every aspect of Internet performance that impacts users. With unified, end-to-end insights, only WebPageTest empowers teams to move faster, dig deeper, and ensure the best digital experience across the Internet Stack.

For organizations looking to expand toward enterprise-grade visibility and deeper insights, new capabilities are now available within the Catchpoint platform, enabling advanced monitoring, analytics, and automation across the full Internet Stack.

Key capabilities now available with IPM

  • Holistic Digital Experience Scores: Advanced scoring with experience-level objectives (XLOs).
  • Visibility and Diagnostics: Classic WebPageTest waterfalls and filmstrips, enhanced with AI-powered dashboards.
  • AI-Powered Digital Dependency Map of your web application or service with automated root cause analysis and correlation with internet outages.
  • Intelligent Monitoring Strategy guidance and setup with Catchpoint Advisor
  • Unified Monitoring: RUM + advanced synthetics in one platform.
  • Opportunities & No-Code Experiments: Rapid iteration without engineering overhead.
  • Session Replay: Full context into end-user journeys.
  • Enterprise-Grade Scale & Reach: 3,000+ global monitoring agents, full Internet Stack visibility, long-term data retention, unlimited users, SSO, and workflow integrations.

“This is not just a reboot, it’s a rebirth,” said Mehdi Daoudi, CEO of Catchpoint. “With WebPageTest fully integrated into the Catchpoint platform, web teams can finally go beyond page metrics to monitor and optimize the entire end-user experience. Whether protecting revenue, safeguarding SEO, or earning customer trust, WebPageTest now delivers the accuracy, performance guidance, scale, and global visibility enterprises need to thrive.”

“By uniting synthetics, RUM, DNS, and CDN visibility, we’re giving teams the power to detect, diagnose, and resolve issues across the full Internet Stack, before users ever notice,” said Dritan Suljoti, CTO of Catchpoint. “And now, by bringing front-end teams and SREs together on a common platform with shared data, dashboards, and workflows, WebPageTest empowers everyone to speak the same language of digital experience and work collaboratively to optimize every user’s journey.”

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.