Safeguard Revenue and Brand Trust with Full-Stack Visibility
Your observability stack probably has a blind spot the size of the entire internet. Learn how outside-in monitoring closes the gap between what you see and what your users experience.
The quick download: Most observability strategies overlook the internet layer that underpins every user’s digital experience, leaving it almost entirely unmonitored.
Most IT teams monitor internal infrastructure far more rigorously than the external internet, so third-party dependencies like DNS, CDNs, and SaaS platforms are often under-observed until they degrade or fail.
Outside-in monitoring acts as a “digital mystery shopper,” validating the user experience from thousands of global locations before customers notice a problem.
False negatives on the Internet layer are more dangerous than noisy alerts, because customers silently churn when you miss performance issues.
Extend your observability strategy to include Internet Performance Monitoring and feed internet-layer signals into Edwin AI to resolve issues faster and protect the customer experience.
Most IT teams monitor servers, networks, and applications, yet the infrastructure layer that carries traffic to users remains largely unmonitored. In this webinar, Andrew Keating, VP of Product and Solutions Marketing at LogicMonitor, and Mehdi Daoudi, GM of Catchpoint and the company’s co-founder, explored why this blind spot has become a serious business risk.
Keating and Daoudi unpack how outside-in monitoring works, why traditional observability tools miss Internet-layer failures, and how Edwin AI turns combined internal and external signals into faster root cause identification and automated incident response.
What Experts Discussed
How internet dependencies outpaced most observability strategies
Most observability strategies are still built around data centers, cloud workloads, and application traces. Daoudi pointed out that every digital experience depends on a chain of third-party services, from DNS providers and CDNs to SaaS platforms and LLM APIs. A single weak link in that chain can disrupt the user journey, even when internal infrastructure is healthy.
Three blind spots that keep IT teams exposed
Daoudi described three categories of blind spots based on his 30 years of experience in IT Operations. The first is a false sense of coverage, where teams believe every entry point is monitored, even though third-party tags on a webpage prove otherwise. The second is the unknown unknown: failure scenarios like fiber cuts that teams haven’t planned a response for. The third, and most dangerous in his view, is the false negative, where your monitoring doesn’t detect a problem while customers silently leave for a competitor.
Outside-in monitoring works like a digital mystery shopper
LogicMonitor’s approach, powered by Catchpoint Internet Performance Monitoring (IPM), deploys synthetic monitors from over 3,000 global locations to validate the user experience layer by layer, from DNS resolution to final page render. Daoudi compared it to a hotel chain hiring mystery shoppers: you can’t assume the “room is clean” without someone on the ground verifying it. This outside-in model detects degradation in the internet stack before it becomes a customer-facing outage.
Outside‑in monitoring means continuously testing your digital services from the public internet so you see performance and availability exactly as users do. You use external synthetic checks across DNS, CDNs, ISPs, and SaaS providers rather than relying solely on internal metrics and logs.
How Edwin AI turns combined signals into faster resolution
Keating described how Edwin AI, LogicMonitor’s agentic AIOps engine, correlates internal infrastructure signals with Catchpoint’s internet telemetry in real time. The result is a system that can detect a trend shift like rising latency on a cloud provider and trace root cause across domains to trigger automated failover. One customer mentioned in the webinar detected an AWS degradation 13 minutes before the outage was declared and rerouted workloads to GCP with no customer impact.
Implications for IT operations leaders
Your delivery chain is your responsibility, even the parts you don’t own
“The customer doesn’t care whose fault it is,” Daoudi said. “They only care that something they’re interacting with works 24/7, whether they’re sending an email, ordering an Uber, or sending a document to be signed in the middle of the night.” Planning for third-party failures reduces their blast radius and keeps teams ahead of customer-facing impact.
False negatives are more dangerous than false positives
The monitoring industry has spent years training teams to worry about noisy alerts. Daoudi argued the real threat is silence: “The false negative, the not knowing you have a problem, is, in my opinion, the worst thing because customers are suffering. Typically, they don’t even complain. They’re moving away to your competitors, and you don’t know about it.” Outside-in monitoring surfaces the failures that internal telemetry can’t reach.
Thirteen minutes of early warning can save millions in revenue
During a major AWS outage, Catchpoint’s high-frequency testing detected a trend shift 13 minutes before the outage was officially declared. The customer automatically shifted workloads to Google Cloud Platform (GCP), avoiding a catastrophic impact on one of the world’s largest retailers. That’s the model Daudi described for the future: “You wake up, you read an email, and it says, last night there was an outage. The systems automatically routed around it.
Watch the On-Demand Webinar
See how LogicMonitor and Catchpoint detect internet-layer failures before they impact your customers.
Internet Performance Monitoring (IPM): Learn how LogicMonitor, via Catchpoint, monitors networks, regions, and providers to detect issues faster and protect user experience.
Better Together: Building the Self-Healing Enterprise: The original announcement of the LogicMonitor + Catchpoint acquisition, explaining the vision for a unified observability platform with self-healing capabilities.
Agentic AIOps Guide: A comprehensive resource on how agentic AIOps integrates with hybrid observability to provide full-stack visibility and proactively prevent failures.
