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Turn fragmented cross-domain event noise into explainable, guided action.

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Deploy specialized AI agents to handle investigation across the incident lifecycle.

Event Intelligence

Compress raw alert storms into high-fidelity, prioritized insights.

AI Automation

Execute governed, closed-loop remediation across automation playbooks.

ITOps Context Graph

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Unify topology, telemetry, and changes into an AI-ready context layer.

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Establish traceable, secure governance boundaries for AI tool integrations.

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Infrastructure Observability Overview

Full visibility across your entire hybrid estate to eliminate tool sprawl.

Network Monitoring

Accelerate time to innocence with deep network path and device visibility.

Server Monitoring

Track server health, OS metrics, and resource utilization across environments.

Remote Monitoring

Monitor distributed endpoints, branch networks, and remote facility health.

VM Monitoring

Maximize hypervisor performance and streamline compute capacity planning.

SD-WAN Monitoring

Keep multi-site cloud networks connected with real-time edge visibility.

Database Monitoring

Pinpoint database query bottlenecks to keep business applications fast.

Configuration Monitoring

Minimize change failure rates by tracking device configuration drift.

Storage Monitoring

Track SAN/NAS arrays, IOPS bottlenecks, and storage capacity trends.

Cloud Observability

Cloud Observability Overview

Multi-cloud and hybrid environments unified into a single operational pane.

Container Monitoring

Automated, real-time visibility for Kubernetes and ephemeral microservices.

AWS Monitoring

Track AWS services, scaling, and costs alongside on-premises data.

Google Cloud Monitoring

Monitor native GCP infrastructure, compute, and serverless resources.

Azure Monitoring

Comprehensive visibility into Azure environments, gateways, and workloads.

AI Monitoring

Track LLM infrastructure, GPU utilization, and AI application stack health.

Oracle Cloud Monitoring

Track OCI native compute, enterprise databases, and cloud storage.

SaaS Monitoring

Validate availability and workforce productivity for critical SaaS apps.

Internet Performance Monitoring

Internet Performance Monitoring Overview

Understand performance across the full stack wherever users depend on it.

Internet Health

NEW

Use global vantage points for independent validation of internet outages.

Real User Monitoring

NEW

Capture actual customer journeys and frontend performance in real time.

Synthetic Monitoring

NEW

Emulate user transactions and SaaS workflows to catch problems early.

Endpoint Monitoring

NEW

Diagnose remote workforce digital experience across devices and networks.

Digital Experience Monitoring

Digital Experience Monitoring

See every dependency, regardless of ownership or location.

Website Monitoring

Protect revenue journeys with proactive synthetic checks and uptime tracking.

CDN Monitoring

NEW

Audit edge performance and latency variance across your CDN providers.

API Monitoring

NEW

Test endpoints and third-party API reliability for critical app integrations.

Application Performance Monitoring

Connect code execution and traces directly to infrastructure health.

DNS Monitoring

NEW

Speed up time to innocence by tracking global nameserver resolution times.

DevOps Lifecycle Monitoring

NEW

Protect release velocity by validating dependencies during deployments.

BGP Monitoring

NEW

Trace global routing changes and path leaks to secure internet reachability.

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Centralize and correlate log data to resolve incidents before they escalate.

Log Analytics & Intelligence

Correlate contextual log data with metrics to speed up root-cause analysis.

By Business Outcome

Autonomous IT

Predictive, autonomous IT built for resilience.

Automation

Eliminate repetitive operational toil with safe, policy-governed remediation workflows.

Modernization and Transformation

Accelerate complex technology transitions while protecting core enterprise resilience.

Cloud Migration

Maintain workload performance throughout migration.

Tool Consolidation

Reduce licensing costs and data silos by replacing fragmented monitoring tools.

Cost Optimization

Lower your total cost-to-serve by finding cloud waste and underused resources.

Operational Efficiency

Maximize team capacity by reducing alert storms and shift-handoff friction.

Reduce MTTR

Shorten war-room by surfacing topology-aware probable cause in mins.

Network Reachability

NEW

Independently audit external BGP, ISP, and SaaS provider connectivity boundaries.

Edge Deployment Optimization

NEW

Monitor SLOs, compare providers, and validate cloud and edge delivery.

Web Performance Optimization

NEW

Maximize digital checkout conversions by tracking global frontend latency metrics.

Application Resilience

NEW

Safeguard business services against transaction failures and costly downtime.

Workforce Productivity

NEW

Troubleshoot remote hardware and network issues to protect productivity.

By Role

CIO

Maximize enterprise resilience and align AI investments to measurable business ROI.

AIOps

Compress cross-domain event noise into explainable, automated ops leverage.

DevOps

Speed up releases by protecting engineering roadmaps from toil.

ITOps

Standardize incident response to reduce alert fatigue and after-hours work.

CloudOps

Unify multi-cloud visibility to optimize costs and track hybrid blast radius.

By Industry

Healthcare

Protect continuity of care and EHR availability across clinical workflows.

Public Sector

Ensure mission continuity and audit readiness for citizen-facing services.

MSP

Protect service margins and scale ops using multi-tenant, AI-assisted triage.

Retail & E-commerce

Safeguard peak retail campaigns, POS uptime, and digital customer journeys.

Technology

Protect customer trust and engineering velocity with SLA-driven visibility.

Hospitality

Deliver frictionless guest experiences and keep booking engines online.

Education

Maintain always-on student portals, learning platforms, and campus networks.

Manufacturing

Prevent production downtime by unifying IT, OT-adjacent, and edge systems.

Financial Services

Secure transaction trust and meet strict operational resilience compliance requirements.

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Viee of a bridge over a river leading to Cologne cathedral rising against the skyline and a blue sky

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LOGICMONITOR BLOG

Elevate Your MSP: From Reactive IT to Proactive Digital Experience Assurance

Why MSPs who can see beyond the firewall win bigger clients, reduce escalations, and build a stronger case for expanding their service offering.

3–5 minutes
May 21, 2026

IN THIS ARTICLE

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The quick download:

Internet Performance Monitoring (IPM) is essential for MSPs to move from reactive support to proactive experience assurance.

  • Internal metrics like server CPU and LAN latency don’t show you what’s happening in the last mile. ISPs, wireless carriers, BGP routing, CDNs, DNS, SSL, and dozens of third-party integrations sit between your infrastructure and the end user. Any one of them can cause an outage even when your core stack looks healthy

  • LogicMonitor via Catchpoint covers the full picture. LogicMonitor provides inside-out visibility across infrastructure, while Catchpoint IPM adds the outside-in layer, so MSPs can tell clients exactly what’s broken and whose problem it is

  • MSPs that can identify exactly where a SaaS or SASE provider is underperforming have something concrete to bring to vendor SLA conversations. That’s a different kind of relationship than finger-pointing

  • Few MSPs offer Internet Performance Monitoring today. Adding it creates a higher-margin service tier, stronger SLA capabilities, and a credible path into larger enterprise accounts

Green lights on your internal dashboard don’t mean users are having a good experience. That was the central tension in this conversation between LogicMonitor RVP of Managed Services, Daniel Gad, and Catchpoint Field CTO, Gerardo Dada, and it’s a problem most MSPs haven’t fully solved.

The discussion covered what it actually takes to monitor the full path between a user and an application, why traditional infrastructure tools miss most of it, and how MSPs can use that blind spot as a service differentiator rather than a liability.

What Experts Discussed

Why the internet is now the application layer

Almost every business process now runs across a globally distributed network of APIs, cloud services, and third-party integrations. Dada used a restaurant as an example with cloud-based POS, payment networks, and digital menus, to make the point that monitoring individual hardware devices tells you almost nothing about whether any of that is actually working for the people depending on it.

The blind spot between inside-out and outside-in monitoring

Traditional observability tools are built to monitor what you control: your network, your data center, your cloud infrastructure. Dada discussed what they’re not built to do: measure what a user in a different city, on a regional ISP, actually experiences. Internet Performance Monitoring fills that blind spot by testing from the user’s vantage point, not the infrastructure owner’s.

Mapping the stack nobody monitors

Gad and Dada kept returning to how much sits between a user’s device and an application’s code, DNS, SSL certificates, BGP routing, CDNs, and how rarely any of it gets monitored until something breaks. They walked through tools like Internet Stack Map and AI-driven Experience Scores as ways to visualize those dependencies and pinpoint root causes without wasting time investigating systems that are working fine.

From vendor disputes to accountable SLAs

Dada focused on a practical shift: instead of getting pulled into vendor finger-pointing when a third-party service underperforms, MSPs with objective telemetry can identify exactly where the problem is. That changes the dynamic with vendors, enables more accurate SLA tracking, and gives MSPs a credible basis for routing optimization decisions.

What MSPs should take from this

APM node coverage is narrower than most teams assume. Dada pointed out that traditional APM tools typically test from nodes inside major cloud hyperscalers, which doesn’t reflect what a user on a local wireless carrier or regional ISP actually sees. Useful Internet Performance Monitoring requires thousands of diverse global nodes, not a handful of well-connected ones.

One failing script can take down an entire site. The average enterprise website depends on dozens of external services, image delivery, tag managers, analytics. Dada’s point was that real-time visibility into those dependencies means you can identify and disable the problem quickly, rather than spending an incident window figuring out what broke.

Catching problems before users do is the whole point. Dada put it plainly: “If you’re waiting for the customers to show up at the bank and something’s broken and then they have to call IT, you’re being very reactive. LogicMonitor tests all the time so that if something happens at four o’clock in the morning, you get an alert, and ideally, you might be able to avert the problem and solve it before the customer finds out.”

Watch the On-Demand Webinar

See how MSPs are adding Internet Performance Monitoring to their service offering and turning proactive experience assurance into a competitive advantage.

Watch now

Recommended Reading and Webinars

  • Closing the Internet Gap to Enable Autonomous IT with Edwin AI + Catchpoint: Explains how Edwin AI and Catchpoint combine infrastructure, application, and Internet telemetry in a single platform, and what changes operationally when the AI layer can finally see the full delivery path.
  • Autonomous IT Without Blind Spots: Covers how LogicMonitor addresses the visibility limitations that constrain most AI-powered monitoring tools, relevant context for MSPs evaluating what full-stack observability actually means in practice.
  • How to Reduce MTTR with AI: “Covers how AI helps operations teams detect issues earlier and reach root cause faster, directly relevant to the proactive monitoring case made in this session.
  • How to build a proactive and predictive monitoring approach: How an AIOps early warning system can shift teams from minimizing outages to avoiding them altogether, directly relevant to the proactive monitoring case made in this session.
  • Navigating observability challenges: A fireside chat with 451 Research — 451 Research analyst Mike Fratto and LogicMonitor’s Ben Radke discuss unified monitoring with real-world examples of organizations that solved fragmented visibility across hybrid and multi-cloud environments.
  • Hybrid Cloud Clarity Powered by AI: LogicMonitor and AWS walk through unified visibility across on-premises and cloud environments, with AI-driven alert prioritization.
  • Best Practices for Effective IT Alerting: Practical guidance on alert routing, threshold configuration, and keeping signal-to-noise ratios manageable.

© LogicMonitor 2026 | All rights reserved. | All trademarks, trade names, service marks, and logos referenced herein belong to their respective companies.

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