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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.

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APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

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

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...