The Era of Reactive Observability Is Over

/ AI, AIOps, Application Development, AWS re:Invent 2025, Observability

LogicMonitor Acquires Catchpoint to Build the First AI-Powered Platform for Connected Digital Operations

The News

LogicMonitor has officially completed its acquisition of Catchpoint, uniting two observability pioneers to create what it calls the first AI-powered platform for connected digital operations. The combined solution integrates LogicMonitor’s AI-first hybrid observability and infrastructure visibility with Catchpoint’s Internet performance and digital experience monitoring with the goal of positioning the new LogicMonitor as an end-to-end platform that moves beyond reactive monitoring toward predictive, proactive reliability.

“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.”

Analysis

Observability Enters the AI Era

For years, observability platforms have focused on diagnosing outages rather than preventing them. By merging LogicMonitor’s Edwin AI engine with Catchpoint’s global Internet telemetry, the company is repositioning observability as a predictive control layer rather than a diagnostic toolset.

Catchpoint’s real-user, synthetic, and network-level data from thousands of vantage points will now feed directly into Edwin AI. This should provide the contextual intelligence needed to anticipate and explain performance issues before they affect users. This shift marks the end of “watching problems happen” and the beginning of AI-driven prevention, where the platform can correlate anomalies across infrastructure, Internet paths, and user experience to stop downtime before it starts.

The End of Tool Sprawl

The LogicMonitor + Catchpoint integration directly addresses one of IT’s biggest pain points: tool fragmentation. Enterprise IT teams often juggle separate systems for network monitoring, infrastructure management, application performance, and experience metrics. Each with its own alert streams and data silos.

LogicMonitor’s unified approach consolidates these disciplines into a single data plane that spans:

  • Infrastructure observability (servers, networks, containers, cloud resources)
  • Internet performance and synthetic monitoring (via Catchpoint’s vantage network)
  • User experience and application metrics
  • AI-powered root cause analysis and prediction (via Edwin AI)

The result is fewer alerts, fewer integrations to maintain, and a continuous feedback loop where the system both detects and acts.

Internet-Aware Reliability and the New Definition of Uptime

By embedding Internet-scale visibility into its hybrid observability stack, LogicMonitor expands its monitoring perimeter beyond owned assets. This “Internet-aware observability” could allow enterprises to track performance across the full path between user and application; including third-party APIs, ISPs, and cloud dependencies.

In the age of distributed architectures and edge workloads, this visibility is critical. Modern digital businesses rely as much on external services as internal infrastructure. With Catchpoint’s data now feeding into Edwin AI, LogicMonitor has the pieces to be able to deliver true end-to-end reliability. And not just uptime within one’s own environment, but reliability across the Internet itself.

Customer Impact and Market Context

For customers, this acquisition should mean a single, AI-native platform that provides:

  • Comprehensive insight: Infrastructure, Internet, and user experience data in one place.
  • Predictive performance: AI models that spot trouble before it becomes downtime.
  • Simplified operations: Reduced alert noise, fewer tools, and unified workflows.
  • Internet-aware reliability: Visibility that extends beyond enterprise boundaries.
  • Global scale: Monitoring from thousands of Catchpoint vantage points.

In an observability market that is estimated will exceed $12 billion by 2026, LogicMonitor’s move mirrors a larger trend toward consolidation and convergence. As vendors race to integrate AIOps, performance analytics, and experience monitoring into cohesive platforms, this acquisition vaults LogicMonitor into the top tier alongside players like Dynatrace, Datadog, and New Relic, but with the unique advantage of Internet-level visibility.

Looking Ahead

The combined LogicMonitor–Catchpoint platform represents a strategic inflection point for the observability industry. By merging AI reasoning, hybrid visibility, and Internet performance data, LogicMonitor is setting a new baseline for proactive reliability in digital operations.

In 2026, expect the company to double down on:

  • Full integration of Catchpoint data streams into Edwin AI, enabling automated root-cause and self-healing capabilities.
  • Expansion of its AI-driven “Explainability” layer, helping teams understand not just what broke, but why, and how to prevent recurrence.
  • SaaS-based predictive SLAs, where performance commitments are based on forecasted availability rather than historical uptime.

If successful, LogicMonitor’s platform could signal the end of reactive observability as a category while ushering in a new era where connected, AI-driven operations continuously optimize performance, cost, and resilience across every layer of digital infrastructure.

Key Takeaways

  • LogicMonitor acquires Catchpoint to unify infrastructure, Internet, and user experience data under a single AI-powered observability platform.
  • Edwin AI + Catchpoint telemetry enable predictive detection, root cause analysis, and ultimately self-healing IT operations.
  • Internet-aware observability expands LogicMonitor’s visibility beyond owned infrastructure to include the full digital delivery chain.
  • Tool consolidation reduces operational complexity, bridging infrastructure, application, and experience monitoring.
  • Strategic differentiation: While competitors focus on logs and traces, LogicMonitor adds Internet performance as a fourth pillar of observability.

Authors

  • Paul Nashawaty

    Paul Nashawaty, Practice Leader and Lead Principal Analyst, specializes in application modernization across build, release and operations. With a wealth of expertise in digital transformation initiatives spanning front-end and back-end systems, he also possesses comprehensive knowledge of the underlying infrastructure ecosystem crucial for supporting modernization endeavors. With over 25 years of experience, Paul has a proven track record in implementing effective go-to-market strategies, including the identification of new market channels, the growth and cultivation of partner ecosystems, and the successful execution of strategic plans resulting in positive business outcomes for his clients.

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  • With over 15 years of hands-on experience in operations roles across legal, financial, and technology sectors, Sam Weston brings deep expertise in the systems that power modern enterprises such as ERP, CRM, HCM, CX, and beyond. Her career has spanned the full spectrum of enterprise applications, from optimizing business processes and managing platforms to leading digital transformation initiatives.

    Sam has transitioned her expertise into the analyst arena, focusing on enterprise applications and the evolving role they play in business productivity and transformation. She provides independent insights that bridge technology capabilities with business outcomes, helping organizations and vendors alike navigate a changing enterprise software landscape.

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