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Catchpoint Announces Native Support for Google's Core Web Vitals

Catchpoint announced full support of Google’s Core Web Vitals, giving companies actionable metrics for delivering the best possible user experience on the web.

Combined with Catchpoint’s set of digital experience metrics and expansive monitoring vantage points, support for Core Web Vitals provides IT teams with the most accurate, simple and comprehensive metrics for optimizing web performance and subsequently, search ranking.

With this new addition and the existing Core Web Vitals support in WebPageTest, Catchpoint now offers the fullest suite of Core Web Vitals insights. The full gamut of stakeholders responsible for web performance, ranging from front-end developers to cloud architects, network engineers, SREs and IT operations practitioners, can leverage Catchpoint’s platform to deliver optimal website and web application performance, delight users and drive positive business outcomes.

“Core Web Vitals will become increasingly important for anyone that is doing business over the web. Over the summer, the ‘signal’ produced by a website’s Core Web Vitals score will play a much bigger role in the Google search algorithm,” said Mehdi Daoudi, CEO of Catchpoint. “Teams can leverage a set of actionable metrics to deliver a better experience to their users while improving their business performance. It’s exciting to see that we finally have a set of metrics that will allow businesses to align IT and business performance.”

Core Web Vitals are made up of three specific page speed and user interaction measurements: Largest Contentful Paint (LCP), First Input Delay (FID), and Cumulative Layout Shift (CLS). These metrics are a subset of factors that will be part of Google’s “page experience” score, an official Google search engine ranking factor, starting this year. This is critical for business visibility, web traffic, and, ultimately, sales.

What makes these metrics easy and actionable is the measurement of time. LCP is the time from when users click on a link to when they see the main content on-screen. Many other page speed metrics don’t represent what it’s like for a user to open up a webpage. FID is the time it takes for a user to actually interact with your page. This is critical, as it takes into account how quickly webpages can begin to respond to users. CLS is the stability of a page as it loads. Users don’t have to re-learn where links are located when the page is fully loaded.

In addition to displaying measured LCP, Total Blocking Time (TBT is the lab complement of FID), and CLS values, WebPageTest provides “Filmstrip View,” an animated preview of page loading with the option to highlight layout shifts.

The support for Core Web Vitals is included in Catchpoint’s Digital Experience Monitoring platform and it is available immediately.

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Catchpoint Announces Native Support for Google's Core Web Vitals

Catchpoint announced full support of Google’s Core Web Vitals, giving companies actionable metrics for delivering the best possible user experience on the web.

Combined with Catchpoint’s set of digital experience metrics and expansive monitoring vantage points, support for Core Web Vitals provides IT teams with the most accurate, simple and comprehensive metrics for optimizing web performance and subsequently, search ranking.

With this new addition and the existing Core Web Vitals support in WebPageTest, Catchpoint now offers the fullest suite of Core Web Vitals insights. The full gamut of stakeholders responsible for web performance, ranging from front-end developers to cloud architects, network engineers, SREs and IT operations practitioners, can leverage Catchpoint’s platform to deliver optimal website and web application performance, delight users and drive positive business outcomes.

“Core Web Vitals will become increasingly important for anyone that is doing business over the web. Over the summer, the ‘signal’ produced by a website’s Core Web Vitals score will play a much bigger role in the Google search algorithm,” said Mehdi Daoudi, CEO of Catchpoint. “Teams can leverage a set of actionable metrics to deliver a better experience to their users while improving their business performance. It’s exciting to see that we finally have a set of metrics that will allow businesses to align IT and business performance.”

Core Web Vitals are made up of three specific page speed and user interaction measurements: Largest Contentful Paint (LCP), First Input Delay (FID), and Cumulative Layout Shift (CLS). These metrics are a subset of factors that will be part of Google’s “page experience” score, an official Google search engine ranking factor, starting this year. This is critical for business visibility, web traffic, and, ultimately, sales.

What makes these metrics easy and actionable is the measurement of time. LCP is the time from when users click on a link to when they see the main content on-screen. Many other page speed metrics don’t represent what it’s like for a user to open up a webpage. FID is the time it takes for a user to actually interact with your page. This is critical, as it takes into account how quickly webpages can begin to respond to users. CLS is the stability of a page as it loads. Users don’t have to re-learn where links are located when the page is fully loaded.

In addition to displaying measured LCP, Total Blocking Time (TBT is the lab complement of FID), and CLS values, WebPageTest provides “Filmstrip View,” an animated preview of page loading with the option to highlight layout shifts.

The support for Core Web Vitals is included in Catchpoint’s Digital Experience Monitoring platform and it is available immediately.

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 ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

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 ...