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Catchpoint Introduces New Capabilities that Make the Internet Better

Catchpoint® launched new features that cement its position as the platform to help organizations achieve Internet Resilience.

Catchpoint introduced new capabilities and products that demonstrate ongoing innovation towards the goal of making the Internet better for everyone.

Internet Sonar

Catchpoint Internet Sonar answers the question: "Is it me or something else?"

This addition to the Catchpoint IPM Platform provides simple, intelligent, trustworthy, Internet health information at-a-glance so you can get ahead of productivity or experience-impacting 3rd-party incidents.

Internet Sonar uses data from an independent, active observability network to monitor hundreds of the Internet’s most popular services for outages. The result is an AI-powered, real-time, interactive status report that can be displayed via an interactive map, a dashboard widget, or accessed by any system via API.

Internet Sonar can ensure a resilient Internet across all these dependencies and deliver exceptional digital experiences for your customers to drive business success.

"Here at The Washington Post, we recently had a situation where several alerts were firing. We couldn't pinpoint root cause and our cloud provider's status was all green,” said a Technical Architect from the Washington Post. “After troubleshooting for nearly thirty minutes, we determined that the issue was with another critical service provider on which we rely. If Internet Sonar had been in place, it would have proactively flagged the outage and helped us discover root cause much more rapidly."

Catchpoint Tracing

Catchpoint Tracing solves the problem of complex, large, distributed environments – used for modern application delivery – impacting your customer’s digital experience and, ultimately, business revenue. It helps operations teams achieve Internet Resilience by extending the reach of IPM combining deep visibility into the Internet Stack to visualizing request journeys through backend application components with code-level visibility into cloud-first applications to understand application behavior and ensure application health and performance.

With Catchpoint Tracing, businesses can give customers the fast, resilient experiences they love and expect. Catchpoint’s IPM platform is the only one in the world that combines deep visibility into the internet, an outside-in perspective of digital experience, all the way through to the application and its dependencies. Unlike APM, which monitors from the inside out, IPM is effective in ensuring great experiences with a holistic view. Catchpoint Tracing provides full Open Telemetry support enabling an organization to easily integrate the data as it requires.

Full OpenTelemetry Support

From the beginning, Catchpoint has embraced open standards and direct access to monitoring data. The Catchpoint IPM platform webhook data API directly provides detailed data directly from any of the nodes to any customer’s data warehouse for template-based consumption – and has done so before OpenTelemetry existed. This data is real-time, granular, and of a higher quality than what most monitoring tools offer.

Catchpoint has also always had the unique ability to add custom headers to HTTP monitors, allowing them to aggregate data in ways that can be followed and traced. As a result, Catchpoint is exceptionally cost-effective when it comes to integration with other systems.

Enterprise Light Nodes

Organizations that rely on the Catchpoint’s IPM platform now have access to a new lightweight node that can be deployed broadly to achieve increased visibility while requiring fewer resources. Able to run on a variety of environments (including Cisco routers, switches, and other devices) and scaling to hundreds or thousands of locations, the Enterprise Light Node fulfills a critical need for connectivity at sites like retail stores, branch locations, satellite offices, or any other remote area not covered by an enterprise node. The result is cost-effective monitoring from where it matters.

Traceroute ECN

Catchpoint has enhanced its Network Experience solution with Traceroute ECN Internet Congestion Detection and Avoidance.

Extremely lag-sensitive applications like AR/VR, streaming, gaming, Metaverse, autonomous vehicles, etc., are becoming increasingly popular, and demand for them is only growing. To ensure users' network experience, Catchpoint now supports Traceroute ECN, which provides full visibility into decision-making for traffic routing around network congestion. The result is lower latency and smoother real-time applications.

This support is unique to Catchpoint, highlighting its innovative leadership and forward-looking vision. Details of this technology can be found at RFC9330, RFC9331, Accurate ECN, and IETF L4S - Low Latency Low Loss Scalable Throughput - L4S. 

Terraform Support

Catchpoint integration is now available in the HashiCorp Terraform registry to simplify integration into DevOps environments and integrate IPM into the innovation process, giving SRE teams visibility into the real-world experience their software delivers to users as well as performance and availability monitoring for the tools they rely on to do their job.

Terraform is an infrastructure as code tool that enables users to safely and predictably provision and manage infrastructure in any cloud. With the Catchpoint Terraform provider, users can manage Web, API, Transaction, DNS, SSL, BGP, Traceroute, and Ping tests with minimum configurations. This makes it easier than ever before for developers to integrate Catchpoint data.

Sub-second Network Testing

Some outages last just a few seconds at a time, making them difficult to detect using relatively infrequent tests. Only Catchpoint allows you to monitor the network continuously at a sub-second level to detect intermittent network issues faster. This makes Catchpoint’s Network Experience solution more effective when troubleshooting intermittent, hard-to-pinpoint network issues.

Webpage Waterfall Compare

Identifying the root cause of website performance problems can be like finding a needle in a haystack. Loading a webpage in a browser can trigger hundreds of HTTP requests, with dependencies and relationships that are often unclear. Site reliability engineers (SREs) and development teams must quickly identify what changed, but until now, SREs haven’t had the same comparison tools they’ve used while coding to easily compare what changed on browser renderings before and after the problem.

With this release, only Catchpoint now provides the ability to compare browser rendering waterfall results of up to four web tests in full detail, side-by-side. This enhances the Website Experience solution to help companies find and fix problems quickly, lowering MTTR and reducing the impact of Internet performance problems.

Zoom and Microsoft Teams Monitoring

Catchpoint’s Workforce Experience solution has been enhanced for today’s hybrid workforce. Organizations rely on collaboration solutions such as Microsoft Teams and Zoom to facilitate the work of remote employees. Catchpoint has extended its IPM solution capabilities to include full visibility for both of these key collaboration solutions.

Global Observability Network Improvements

Only Catchpoint enables you to monitor from where it matters for your organization, your customers, and your employees. The company is constantly growing its footprint and vantage points, although Catchpoint already has the largest network globally.

Since the May launch, Catchpoint has added more than 60 new nodes across the US, Canada, Israel, Germany, Poland, Qatar, Japan, India, Singapore, Sweden, Australia, and Italy, covering Cloud, Backbone, Last Mile and Wireless, bringing the total network vantage points to over 2500.

Catchpoint has also added an additional 10 BGP feeds across 8 countries to bring the total coverage on BGP to over 1430 BGP peers across 447 ASNs, providing even further real-time global BGP visibility against hijacks or manipulation.

“I am particularly excited about Catchpoint’s Internet Sonar because it offers a uniquely cost-effective way for IT teams to radically reduce MTTR by determining whether an issue is due to an issue in their Internet Stack or something else happening in the Internet,” says Mehdi Daoudi, CEO of Catchpoint. “With outages costing up to tens of thousands of dollars per minute, our customers will be able to save millions with this at-a-glance information.”

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 ...

Catchpoint Introduces New Capabilities that Make the Internet Better

Catchpoint® launched new features that cement its position as the platform to help organizations achieve Internet Resilience.

Catchpoint introduced new capabilities and products that demonstrate ongoing innovation towards the goal of making the Internet better for everyone.

Internet Sonar

Catchpoint Internet Sonar answers the question: "Is it me or something else?"

This addition to the Catchpoint IPM Platform provides simple, intelligent, trustworthy, Internet health information at-a-glance so you can get ahead of productivity or experience-impacting 3rd-party incidents.

Internet Sonar uses data from an independent, active observability network to monitor hundreds of the Internet’s most popular services for outages. The result is an AI-powered, real-time, interactive status report that can be displayed via an interactive map, a dashboard widget, or accessed by any system via API.

Internet Sonar can ensure a resilient Internet across all these dependencies and deliver exceptional digital experiences for your customers to drive business success.

"Here at The Washington Post, we recently had a situation where several alerts were firing. We couldn't pinpoint root cause and our cloud provider's status was all green,” said a Technical Architect from the Washington Post. “After troubleshooting for nearly thirty minutes, we determined that the issue was with another critical service provider on which we rely. If Internet Sonar had been in place, it would have proactively flagged the outage and helped us discover root cause much more rapidly."

Catchpoint Tracing

Catchpoint Tracing solves the problem of complex, large, distributed environments – used for modern application delivery – impacting your customer’s digital experience and, ultimately, business revenue. It helps operations teams achieve Internet Resilience by extending the reach of IPM combining deep visibility into the Internet Stack to visualizing request journeys through backend application components with code-level visibility into cloud-first applications to understand application behavior and ensure application health and performance.

With Catchpoint Tracing, businesses can give customers the fast, resilient experiences they love and expect. Catchpoint’s IPM platform is the only one in the world that combines deep visibility into the internet, an outside-in perspective of digital experience, all the way through to the application and its dependencies. Unlike APM, which monitors from the inside out, IPM is effective in ensuring great experiences with a holistic view. Catchpoint Tracing provides full Open Telemetry support enabling an organization to easily integrate the data as it requires.

Full OpenTelemetry Support

From the beginning, Catchpoint has embraced open standards and direct access to monitoring data. The Catchpoint IPM platform webhook data API directly provides detailed data directly from any of the nodes to any customer’s data warehouse for template-based consumption – and has done so before OpenTelemetry existed. This data is real-time, granular, and of a higher quality than what most monitoring tools offer.

Catchpoint has also always had the unique ability to add custom headers to HTTP monitors, allowing them to aggregate data in ways that can be followed and traced. As a result, Catchpoint is exceptionally cost-effective when it comes to integration with other systems.

Enterprise Light Nodes

Organizations that rely on the Catchpoint’s IPM platform now have access to a new lightweight node that can be deployed broadly to achieve increased visibility while requiring fewer resources. Able to run on a variety of environments (including Cisco routers, switches, and other devices) and scaling to hundreds or thousands of locations, the Enterprise Light Node fulfills a critical need for connectivity at sites like retail stores, branch locations, satellite offices, or any other remote area not covered by an enterprise node. The result is cost-effective monitoring from where it matters.

Traceroute ECN

Catchpoint has enhanced its Network Experience solution with Traceroute ECN Internet Congestion Detection and Avoidance.

Extremely lag-sensitive applications like AR/VR, streaming, gaming, Metaverse, autonomous vehicles, etc., are becoming increasingly popular, and demand for them is only growing. To ensure users' network experience, Catchpoint now supports Traceroute ECN, which provides full visibility into decision-making for traffic routing around network congestion. The result is lower latency and smoother real-time applications.

This support is unique to Catchpoint, highlighting its innovative leadership and forward-looking vision. Details of this technology can be found at RFC9330, RFC9331, Accurate ECN, and IETF L4S - Low Latency Low Loss Scalable Throughput - L4S. 

Terraform Support

Catchpoint integration is now available in the HashiCorp Terraform registry to simplify integration into DevOps environments and integrate IPM into the innovation process, giving SRE teams visibility into the real-world experience their software delivers to users as well as performance and availability monitoring for the tools they rely on to do their job.

Terraform is an infrastructure as code tool that enables users to safely and predictably provision and manage infrastructure in any cloud. With the Catchpoint Terraform provider, users can manage Web, API, Transaction, DNS, SSL, BGP, Traceroute, and Ping tests with minimum configurations. This makes it easier than ever before for developers to integrate Catchpoint data.

Sub-second Network Testing

Some outages last just a few seconds at a time, making them difficult to detect using relatively infrequent tests. Only Catchpoint allows you to monitor the network continuously at a sub-second level to detect intermittent network issues faster. This makes Catchpoint’s Network Experience solution more effective when troubleshooting intermittent, hard-to-pinpoint network issues.

Webpage Waterfall Compare

Identifying the root cause of website performance problems can be like finding a needle in a haystack. Loading a webpage in a browser can trigger hundreds of HTTP requests, with dependencies and relationships that are often unclear. Site reliability engineers (SREs) and development teams must quickly identify what changed, but until now, SREs haven’t had the same comparison tools they’ve used while coding to easily compare what changed on browser renderings before and after the problem.

With this release, only Catchpoint now provides the ability to compare browser rendering waterfall results of up to four web tests in full detail, side-by-side. This enhances the Website Experience solution to help companies find and fix problems quickly, lowering MTTR and reducing the impact of Internet performance problems.

Zoom and Microsoft Teams Monitoring

Catchpoint’s Workforce Experience solution has been enhanced for today’s hybrid workforce. Organizations rely on collaboration solutions such as Microsoft Teams and Zoom to facilitate the work of remote employees. Catchpoint has extended its IPM solution capabilities to include full visibility for both of these key collaboration solutions.

Global Observability Network Improvements

Only Catchpoint enables you to monitor from where it matters for your organization, your customers, and your employees. The company is constantly growing its footprint and vantage points, although Catchpoint already has the largest network globally.

Since the May launch, Catchpoint has added more than 60 new nodes across the US, Canada, Israel, Germany, Poland, Qatar, Japan, India, Singapore, Sweden, Australia, and Italy, covering Cloud, Backbone, Last Mile and Wireless, bringing the total network vantage points to over 2500.

Catchpoint has also added an additional 10 BGP feeds across 8 countries to bring the total coverage on BGP to over 1430 BGP peers across 447 ASNs, providing even further real-time global BGP visibility against hijacks or manipulation.

“I am particularly excited about Catchpoint’s Internet Sonar because it offers a uniquely cost-effective way for IT teams to radically reduce MTTR by determining whether an issue is due to an issue in their Internet Stack or something else happening in the Internet,” says Mehdi Daoudi, CEO of Catchpoint. “With outages costing up to tens of thousands of dollars per minute, our customers will be able to save millions with this at-a-glance information.”

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 ...