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Catchpoint Releases New Internet Stack Map

Catchpoint is excited to announce the new release of Internet Stack Map. 

This major update introduces a revolutionary new user interface that simplifies front-end digital experience monitoring and automatically generates Internet Stack Maps to rapidly detect and resolve issues before they impact business operations at no extra cost for customers.

The new Stack Map leverages advanced AI technology to automatically correlate the customers test results with the billions of tests that Catchpoint’s Global Internet Outage Detector runs, powering organizations to quickly identify root cause of a disruption or incident before it further escalates. This feature empowers anyone, regardless of their technical expertise, to act as an expert in monitoring with complete visibility to manage the performance of their Internet Stack.

Catchpoint’s new Application Tracing solves the problem of complex, large, distributed environments having a negative impact on your customer’s digital experience. This capability extends Internet Performance Monitoring’s (IPM) outside-in perspective all the way through to tracing request journeys through the application stack. Customers can now take advantage of complimentary Synthetic Tracing with the use of Catchpoint IPM for Internet Synthetic tests including single API calls, Synthetic Transaction Monitoring, and API Multi-Step Transactions.

With detailed user experience and distributed tracing data in the same platform organizations gain a holistic, end-to-end view of the complete experience with analytics and drill-down, all without missing a beat. Resolution times are improved because when a customer-facing problem is detected, one click will allow you to see exactly what caused that problem. Catchpoint Tracing leverages OpenTelemetry to easily integrate with large observability frameworks with complete compliance.

“The Internet is your network—and it’s never been more fragile. Apps are no longer confined to internal data centers—they're distributed across multi-cloud environments, interconnected by APIs, and entirely dependent on an increasingly complex and brittle internet,” says Mehdi Daoudi, CEO and Founder of Catchpoint. “Organizations need to rethink performance, availability and security from an internet-first perspective and take ownership of their own internet resilience rather than assuming third-party providers will keep them online.” 

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Catchpoint Releases New Internet Stack Map

Catchpoint is excited to announce the new release of Internet Stack Map. 

This major update introduces a revolutionary new user interface that simplifies front-end digital experience monitoring and automatically generates Internet Stack Maps to rapidly detect and resolve issues before they impact business operations at no extra cost for customers.

The new Stack Map leverages advanced AI technology to automatically correlate the customers test results with the billions of tests that Catchpoint’s Global Internet Outage Detector runs, powering organizations to quickly identify root cause of a disruption or incident before it further escalates. This feature empowers anyone, regardless of their technical expertise, to act as an expert in monitoring with complete visibility to manage the performance of their Internet Stack.

Catchpoint’s new Application Tracing solves the problem of complex, large, distributed environments having a negative impact on your customer’s digital experience. This capability extends Internet Performance Monitoring’s (IPM) outside-in perspective all the way through to tracing request journeys through the application stack. Customers can now take advantage of complimentary Synthetic Tracing with the use of Catchpoint IPM for Internet Synthetic tests including single API calls, Synthetic Transaction Monitoring, and API Multi-Step Transactions.

With detailed user experience and distributed tracing data in the same platform organizations gain a holistic, end-to-end view of the complete experience with analytics and drill-down, all without missing a beat. Resolution times are improved because when a customer-facing problem is detected, one click will allow you to see exactly what caused that problem. Catchpoint Tracing leverages OpenTelemetry to easily integrate with large observability frameworks with complete compliance.

“The Internet is your network—and it’s never been more fragile. Apps are no longer confined to internal data centers—they're distributed across multi-cloud environments, interconnected by APIs, and entirely dependent on an increasingly complex and brittle internet,” says Mehdi Daoudi, CEO and Founder of Catchpoint. “Organizations need to rethink performance, availability and security from an internet-first perspective and take ownership of their own internet resilience rather than assuming third-party providers will keep them online.” 

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Pilots are everywhere, stakeholders are seeking results, businesses are pushing for new tools, and IT teams are being asked to make AI secure, reliable, and useful at scale. But as organizations move from testing AI to operationalizing it, many are discovering that the biggest barrier is not the model, the use case, or even the budget. It is the file data foundation within ...

Fast or cheap? For most of my career in engineering, speed and quality sat on opposite ends of a seesaw. The "OR" in "fast or cheap" was non-negotiable. It was expected that pushing for faster releases meant that something in quality would give way. Tightening quality controls meant the schedule slipped. Every engineering leader I know has lived some version of that tradeoff ... The seesaw is starting to level out ...

I have been building enterprise software for more than 20 years ... One thing stays true across all of it: You do not find out your foundation is wrong during the crisis. You find out when the debt comes due. For a lot of organizations, that bill is arriving now. New research ... puts hard numbers on something practitioners have been sensing for a while. The telemetry problem isn't coming. It's already here ...

The rapid growth of AI workloads is pushing traditional log management approaches to their limits, according to The State of Log Management 2026 report from Dynatrace. Modern logs have become critical to understanding, validating, and securing AI-driven decisions, helping organizations ensure reliability, compliance, and performance at scale. However, the volume and complexity of AI telemetry are overwhelming legacy tools ...

For years, secure connectivity has relied on a familiar pattern: route traffic back to centralized gateways, inspect it, and then allow access. This model worked when applications lived in a handful of data centers and users were largely confined to offices. That model is now under strain. Applications are distributed across clouds, users connect from everywhere, and real-time workloads demand performance that centralized inspection points struggle to deliver. As traffic volumes grow and latency expectations shrink, routing everything through a small number of control points has become both a performance bottleneck and a resilience risk. The future of secure connectivity requires a different approach ...

The AI experimentation phase is over, and the private cloud is where enterprise AI workloads are being deployed for security and scale, according to Private Cloud Outlook 2026, a new report from Broadcom ... 2026 marks an acceleration into a full AI tipping point. The shift is being shaped by three forces — costs, complexity, and control — that public cloud environments are increasingly failing to address for production AI at scale. Key findings from the report include ...

44% of organizations have reported an outage in the past year tied to suppressed or ignored alerts, and 78% had at least one incident where no alert was fired at all ... Engineers learned about failures from customers. That gap between what our tools report and what our customers experience is the problem DevOps teams have been quietly solving with GenAI tooling, even as most enterprises continue to run their NOCs on manual alert triage ...

Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...

77% of leaders say their teams need AI skills urgently. 64% say their organization plans to train current employees rather than hire new ones. So far, so reasonable. The part that surprised me is who's been put in charge: 34% of those leaders say IT and engineering own the AI skills mandate. Learning and Development or HR own it at 7% of organizations. That's roughly five-to-one in favor of the people who understand the tools, over the people whose actual job is teaching adults how to learn new ones ...

In the ever-evolving digital landscape, enterprises are increasingly focused on enhancing their observability stacks to gain deeper insights into their IT environments. Observability has become a cornerstone of modern IT operations, enabling organizations to monitor, diagnose, and optimize their systems with unprecedented precision. However, a critical piece of the puzzle often goes unnoticed in this transformation: IBM i ...