LogicMonitor has completed its acquisition of Catchpoint.
Together, LogicMonitor and Catchpoint are redefining how modern businesses run, ending downtime and eliminating blind spots across the backbone of today’s connected world.
By combining LogicMonitor’s deep infrastructure and AI expertise with Catchpoint’s Internet-level intelligence, the new LogicMonitor platform delivers predictive visibility and control across cloud, code, and the Internet itself. The goal is simple: stop chasing alerts and start staying ahead of them.
“This is a defining moment for LogicMonitor and for enterprise technology,” said Christina Kosmowski, CEO of LogicMonitor. “Until now, IT teams have been juggling point tools that promise insight but deliver noise. That ends today. Together with Catchpoint we are giving customers the power to predict issues, prevent downtime, and finally make their systems as smart as the people who run them.”
Catchpoint spent a decade helping enterprises keep the Internet fast, reliable, and available. LogicMonitor brings the AI scale and infrastructure reach to make that reliability universal. The result is a comprehensive observability platform for the AI-era, one that connects what enterprises own with what they depend on and keeps everything running like it should.
“Catchpoint was founded to make the Internet better for everyone,” said Mehdi Daoudi, CEO and Co-Founder of Catchpoint. “We have helped teams detect issues faster, reduce MTTR, and protect billions of sessions. Now, as part of LogicMonitor, we can do it on a global scale and redefine what performance means in the AI era.”
Once integrated, Catchpoint’s global performance data including synthetic, network, and real-user monitoring will feed directly into Edwin AI, LogicMonitor’s intelligent engine that does more than raise alarms. It explains them. Together, the platform will predict incidents, ultimately automate fixes, and give enterprises the kind of full-stack clarity that makes finger-pointing obsolete.
Here is what customers get out of the deal:
- Comprehensive insight: Infrastructure, Internet, and user experience data in one place.
- Predictive performance: AI that spots trouble before it becomes downtime.
- Simpler operations: Fewer tools, fewer alerts, fewer headaches.
- Internet-aware reliability: Visibility from the cloud to the last mile.
- Global scale: Monitoring from thousands of vantage points worldwide.
The transaction closed following customary approvals. LogicMonitor and Catchpoint teams are already integrating capabilities to accelerate AI-driven innovation for customers worldwide. Reactive IT had its moment. LogicMonitor just made it obsolete.
The Latest
In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 6 covers OpenTelemetry ...
In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 5 covers APM and infrastructure monitoring ...
AI continues to be the top story across the industry, but a big test is coming up as retailers make the final preparations before the holiday season starts. Will new AI powered features help load up Santa's sleigh this year? Or are early adopters in for unpleasant surprises in the form of unexpected high costs, poor performance, or even service outages? ...
In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 4 covers user experience, digital performance, website performance and ITSM ...
In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 3 covers more predictions about Observability ...
In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 2 covers predictions about Observability and AIOps ...
The Holiday Season means it is time for APMdigest's annual list of predictions, covering Observability and other IT performance topics. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how Observability, AIOps, APM and related technologies will evolve and impact business in 2026 ...
IT organizations are preparing for 2026 with increased expectations around modernization, cloud maturity, and data readiness. At the same time, many teams continue to operate with limited staffing and are trying to maintain complex environments with small internal groups. These conditions are creating a distinct set of priorities for the year ahead. The DataStrike 2026 Data Infrastructure Survey Report, based on responses from nearly 280 IT leaders across industries, points to five trends that are shaping data infrastructure planning for 2026 ...
Developers building AI applications are not just looking for fault patterns after deployment; they must detect issues quickly during development and have the ability to prevent issues after going live. Unfortunately, traditional observability tools can no longer meet the needs of AI-driven enterprise application development. AI-powered detection and auto-remediation tools designed to keep pace with rapid development are now emerging to proactively manage performance and prevent downtime ...
Every few years, the cybersecurity industry adopts a new buzzword. "Zero Trust" has endured longer than most — and for good reason. Its promise is simple: trust nothing by default, verify everything continuously. Yet many organizations still hesitate to implement Zero Trust Network Access (ZTNA). The problem isn't that ZTNA doesn't work. It's that it's often misunderstood ...