Skip to main content

Catchpoint Expands Platform

Catchpoint announced major platform enhancements, including Application Performance Management (APM) deep linking and expanded integrations providing enterprises complete user experience visibility, from symptom to cause.

In addition, Catchpoint surpasses 1,000 Border Gateway Protocol (BGP) peers for extending reachability and releases node-to-node testing within its global observability network. To enable the delivery of today’s distributed digital experiences, Catchpoint’s platform is powered by the world’s largest network of active performance observers, driving innovation as part of its user-centric mindset.

“Today, many Enterprises struggle to deliver their business outcomes with traditional monitoring technology as the majority of legacy tools are incapable of providing holistic business-level observability of a hybrid IT world” says Mehdi Daoudi, CEO of Catchpoint. “These new capabilities are another important milestone towards empowering IT teams so they can manage the visibility challenges associated with everything hybrid!”

Organizational silos and disjointed monitoring tools hinder the effectiveness of IT operations. If the monitoring strategy uses certain APM providers, then IT teams can trace a specific external monitoring transaction all the way to their individual APM line of code thanks to Catchpoint’s insight ability. With expansive REST API and data webhooks, teams can develop normalized capabilities for internal and external users to consume data in the platforms of their choice.

Examples include:

- Deep link with AppDynamics, SignalFX, and Instana
- Integrate data to Datadog, Splunk Cloud, or Servicetrace

Lack of unified visibility across the full digital service delivery stack is a real challenge for today’s IT deployments. The stack extends from the cloud, through the internet, and all the way to users’ browsers, apps, and devices. With Catchpoint’s node-to-node testing ability, customers can now perform mesh monitoring to diagnose or fault isolate network-related issues between multiple locations, including locations within an enterprise premise. The ability to augment an expansive array of existing visuals with “bring your own visuals” further allows IT teams to gain much-needed visibility across the full stack.

IT team’s monitoring needs to be as distributed as the digital service they deliver and the end users who consume them. Since traditional APM tools focus on only application monitoring, extending digital service reach eliminates blind spots into end-to-end user experience. With over 1,000 BGP peers, including the monitoring of IPv6 routes, IT teams can configure monitoring, search, and set up alerting for IPv4 and IPv6 prefixes. The ability to run on-demand tests directly from MAC and PC extends troubleshooting abilities to where IT teams have traditionally had no reach – active testing from the user’s devices.

The Latest

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 ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

Catchpoint Expands Platform

Catchpoint announced major platform enhancements, including Application Performance Management (APM) deep linking and expanded integrations providing enterprises complete user experience visibility, from symptom to cause.

In addition, Catchpoint surpasses 1,000 Border Gateway Protocol (BGP) peers for extending reachability and releases node-to-node testing within its global observability network. To enable the delivery of today’s distributed digital experiences, Catchpoint’s platform is powered by the world’s largest network of active performance observers, driving innovation as part of its user-centric mindset.

“Today, many Enterprises struggle to deliver their business outcomes with traditional monitoring technology as the majority of legacy tools are incapable of providing holistic business-level observability of a hybrid IT world” says Mehdi Daoudi, CEO of Catchpoint. “These new capabilities are another important milestone towards empowering IT teams so they can manage the visibility challenges associated with everything hybrid!”

Organizational silos and disjointed monitoring tools hinder the effectiveness of IT operations. If the monitoring strategy uses certain APM providers, then IT teams can trace a specific external monitoring transaction all the way to their individual APM line of code thanks to Catchpoint’s insight ability. With expansive REST API and data webhooks, teams can develop normalized capabilities for internal and external users to consume data in the platforms of their choice.

Examples include:

- Deep link with AppDynamics, SignalFX, and Instana
- Integrate data to Datadog, Splunk Cloud, or Servicetrace

Lack of unified visibility across the full digital service delivery stack is a real challenge for today’s IT deployments. The stack extends from the cloud, through the internet, and all the way to users’ browsers, apps, and devices. With Catchpoint’s node-to-node testing ability, customers can now perform mesh monitoring to diagnose or fault isolate network-related issues between multiple locations, including locations within an enterprise premise. The ability to augment an expansive array of existing visuals with “bring your own visuals” further allows IT teams to gain much-needed visibility across the full stack.

IT team’s monitoring needs to be as distributed as the digital service they deliver and the end users who consume them. Since traditional APM tools focus on only application monitoring, extending digital service reach eliminates blind spots into end-to-end user experience. With over 1,000 BGP peers, including the monitoring of IPv6 routes, IT teams can configure monitoring, search, and set up alerting for IPv4 and IPv6 prefixes. The ability to run on-demand tests directly from MAC and PC extends troubleshooting abilities to where IT teams have traditionally had no reach – active testing from the user’s devices.

The Latest

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 ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...