[{"id":613150,"date":"2026-06-09T13:29:45","date_gmt":"2026-06-09T18:29:45","guid":{"rendered":"https:\/\/www.logicmonitor.com\/?p=613150"},"modified":"2026-06-09T13:29:51","modified_gmt":"2026-06-09T18:29:51","slug":"best-msp-monitoring-observability-platform","status":"publish","type":"post","link":"https:\/\/www.logicmonitor.com\/fr\/blog\/best-msp-monitoring-observability-platform","title":{"rendered":"Meilleur logiciel MSP en 2026 : Comment choisir la bonne plateforme"},"content":{"rendered":"<?xml encoding=\"UTF-8\"><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50 rtc-text-content--no-top-pad\">\n      <span class=\"head-icon\"><svg class=\"\" width=\"50px\" height=\"50px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-light-book-open\"><\/use>\n    <\/svg><\/span>\n  \n  <div class=\"rtc-text-content__wrapper\">\n          <h4 class=\"rtc-text-content__headline fs-sm-text-display-xs fs-md-text-display-sm fs-lg-text-display-md font-medium text-core-blue-900\">\n        Le t\u00e9l\u00e9chargement rapide :      <\/h4>\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900 headline-is-quote\">\n        <p>MSPs already have plenty of tools. The harder problem is getting a clear read on what&rsquo;s happening across each customer environment, which alerts point to the same issue, and where engineers should start.<\/p>\n      <\/div>\n    \n                  <ul class=\"rtc-text-content__bullet-list\">\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p>RMM and PSA tools are still part of the stack, but they aren&rsquo;t built to diagnose every issue across infrastructure, cloud, network, SaaS, and digital experience.<\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p>For monitoring and observability, prioritize multi-tenant management, auto-discovery, topology, alert correlation, reporting, and PSA or ITSM integrations.<\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p>AI should help engineers sort incidents by impact, find likely root cause, summarize what changed, and decide what to do next.<\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p>Look for a platform that helps your team bring customers online quickly, troubleshoot across environments, and show when service is healthy again.<\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                  <\/ul>\n      \n      \n            <\/div>\n<\/div><p>Choosing the right MSP software is really about choosing the right operating layer for service delivery. MSPs are supporting more customers, more environments, and more alerts, but adding another tool doesn&rsquo;t always make the work easier. When monitoring, ticketing, automation, and customer context live in separate systems, engineers lose time switching screens instead of solving the issue.<\/p><p>Those delays show up quickly through missed SLA targets, higher help desk volume, tighter margins, and customers waiting longer for answers.<\/p><p>This blog focuses on the monitoring and observability layer of the MSP software stack. That&rsquo;s the layer MSPs use to see across hybrid infrastructure, connect related signals, identify root cause, and confirm that service has recovered. RMM, PSA, backup, security, and billing tools still matter, but they solve different parts of the operating model.<\/p><h2 class=\"wp-block-heading\" id=\"h-msp-platforms-now-span-monitoring-automation-and-service-delivery\">MSP Platforms Now Span Monitoring, Automation, and Service Delivery<\/h2><p>An alert only tells an MSP that something needs attention. The real work is finding where the failure started, which customers are affected, which SLAs are at risk, and what to do next.<\/p><p>RMM tools are useful for endpoint and device management. PSA tools manage tickets, SLAs, billing, and service workflows. But neither category is built to explain an issue that crosses infrastructure, cloud, network, SaaS, logs, events, and user experience.<\/p><p>When an incident hits, the platform should help the team answer three questions fast:<\/p><p>&ndash; What changed?<\/p><p>&ndash; What&rsquo;s affected?<\/p><p>&ndash; What should we do next?<\/p><p>The less time engineers spend stitching clues together, the faster they can get back to the customer with an answer.<\/p><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50\">\n  \n  <div class=\"rtc-text-content__wrapper\">\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900 headline-is-quote\">\n        <p>The right MSP platform turns alerts into answers: what changed, who&rsquo;s affected, and what needs to happen next.<\/p>\n      <\/div>\n    \n      <\/div>\n<\/div><h2 class=\"wp-block-heading\" id=\"h-what-is-an-msp-platform-and-why-does-it-matter\">What Is an MSP Platform and Why Does It Matter?<\/h2><p>An MSP platform is the software layer service providers use to monitor customer environments, manage day-to-day service work, and keep delivery consistent across accounts.<\/p><p>In practice, that usually means several tools working together. RMM handles endpoint and device management. PSA manages tickets, SLAs, billing, and customer workflows. Monitoring and observability platforms help teams connect what&rsquo;s happening across infrastructure, cloud, network, applications, logs, events, and user experience.<\/p><p>MSP efficiency depends on how quickly engineers can separate symptoms from root cause. Without shared context, every alert turns into another investigation. With the right platform, teams can see what changed, understand the customer impact, and act before a small issue becomes a missed SLA.<\/p><h2 class=\"wp-block-heading\" id=\"h-what-are-the-main-types-of-msp-software\">What Are the Main Types of MSP Software?<\/h2><p>MSP software spans several categories. Most MSPs use more than one, and some platforms cover multiple layers of the stack.<\/p><h4 class=\"wp-block-heading\" id=\"h-1-remote-monitoring-and-management-rmm\">1) Remote Monitoring and Management (RMM)<\/h4><p>RMM tools manage endpoints, servers, and devices through agents. They&rsquo;re often used for device health monitoring, patching, remote access, and endpoint-level maintenance.<\/p><h4 class=\"wp-block-heading\" id=\"h-2-professional-services-automation-psa\">2) Professional Services Automation (PSA)<\/h4><p>PSA tools manage service delivery workflows, including tickets, SLAs, billing, customer communication, and reporting.<\/p><h4 class=\"wp-block-heading\" id=\"h-3-monitoring-and-observability-platforms\">3) Monitoring and Observability Platforms<\/h4><p>Monitoring and observability platforms track performance, availability, and dependencies across the environments MSPs manage. That can include infrastructure, cloud, network devices, SaaS applications, DNS, APIs, logs, events, and digital experience.<\/p><p>Broad coverage matters on day one. MSPs need to discover what&rsquo;s running, map dependencies, and start troubleshooting without rebuilding the customer environment by hand.<\/p><p>Collectors, auto-discovery, and topology mapping make that work faster. Collectors bring in data from the customer environment. Auto-discovery identifies resources. Topology mapping shows how systems are connected, so teams can trace an issue without rebuilding the map by hand.<\/p><h4 class=\"wp-block-heading\" id=\"h-4-security-and-compliance-tools\">4) Security and Compliance Tools<\/h4><p>Security, backup, and compliance tools help MSPs protect customer environments, manage risk, recover data, enforce policies, and support reporting requirements. These tools may connect with monitoring and service workflows, but they solve different operational problems.<\/p><h2 class=\"wp-block-heading\" id=\"h-what-are-the-core-components-of-an-msp-monitoring-and-observability-platform\">What are the Core Components of an MSP Monitoring and Observability Platform?<\/h2><p>A monitoring and observability platform should give MSP teams a working view of each customer environment, enough context to diagnose issues, and a clean path into service workflows.<\/p><h4 class=\"wp-block-heading\" id=\"h-1-visibility\">1) Visibility<\/h4><p>MSPs need a reliable view of the environments they support: infrastructure, cloud, network, SaaS, logs, events, APIs, DNS, and digital experience. More signals only help when they make customer health easier to understand.<br><\/p><h4 class=\"wp-block-heading\" id=\"h-2-context\">2) Context<\/h4><p>Raw alerts only tell part of the story. Teams also need to know how systems relate, which alerts are connected, and where the issue likely started.<\/p><p>Look for auto-discovery, dependency mapping, topology, alert correlation, and customer-level segmentation. That context gives engineers a better starting point, especially when one issue creates alerts across several systems.<\/p><h4 class=\"wp-block-heading\" id=\"h-3-action\">3) Action<\/h4><p>After diagnosis, the next question is how the work gets routed, escalated, and resolved. That can include alert routing, escalation logic, remediation workflows, runbooks, and integrations with PSA or ITSM tools that create, update, or close tickets.<br><\/p><h4 class=\"wp-block-heading\" id=\"h-4-multi-tenant-management\">4) Multi-Tenant Management<\/h4><p>MSPs need to manage many customer environments from one operational view without mixing access, data, dashboards, or reporting. Look for customer-level segmentation, role-based permissions, grouped collectors or resources, and customer-specific dashboards or snapshots.<\/p><h2 class=\"wp-block-heading\" id=\"h-why-traditional-rmm-and-psa-tools-arent-enough-on-their-own\">Why Traditional RMM and PSA Tools Aren&rsquo;t Enough On Their Own<\/h2><p>RMM and PSA tools still matter, but they can&rsquo;t explain every issue across a hybrid customer environment. RMM can show endpoint or device health. PSA can track the ticket. The harder work is connecting the signal, the affected service, the customer impact, and the next action.<\/p><h4 class=\"wp-block-heading\" id=\"h-1-hybrid-infrastructure-breaks-tool-silos\">1) Hybrid Infrastructure Breaks Tool Silos<\/h4><p>MSPs now manage customer environments that span on-prem infrastructure, cloud platforms, SaaS applications, remote endpoints, and network paths. A single incident can create signals across several of those layers.<\/p><p>Without correlation, engineers have to move between tools and piece together what changed, what depends on what, and where the issue started.<\/p><h4 class=\"wp-block-heading\" id=\"h-2-fragmented-signals-create-alert-noise\">2) Fragmented Signals Create Alert Noise<\/h4><p>Customer environments generate alerts from devices, network paths, applications, logs, events, and external dependencies. When those alerts stay isolated, teams see symptoms instead of service context.<\/p><p>Every alert looks like a separate problem until someone connects the pattern.<\/p><h4 class=\"wp-block-heading\" id=\"h-3-manual-processes-don-t-scale\">3) Manual Processes Don&rsquo;t Scale<\/h4><p>MSPs can&rsquo;t grow efficiently if every recurring issue requires the same manual steps. Managing hundreds of customers takes repeatable workflows, policy-driven configurations, alert routing, and automation that reduces low-value work.<\/p><p>Monitoring tells teams something happened. Automation and workflow integration help them act on it consistently.<\/p><h4 class=\"wp-block-heading\" id=\"h-4-customer-expectations-keep-rising\">4) Customer Expectations Keep Rising<\/h4><p>MSPs are measured by response time, resolution time, SLA adherence, and customer experience. Faster resolution depends on how quickly teams can isolate the failure domain and prove service has recovered.<\/p><p>More alerts just add noise unless engineers can see what changed, what&rsquo;s affected, and where to act next.<\/p><h2 class=\"wp-block-heading\" id=\"h-what-capabilities-should-msps-expect-from-a-monitoring-and-observability-platform\">What Capabilities Should MSPs Expect From a Monitoring and Observability Platform?<\/h2><p>When you&rsquo;re comparing monitoring and observability platforms, look at the work your team has to do every day: onboarding customers, reducing alert noise, finding root cause, showing customer impact, and routing incidents into the right service workflow.<\/p><h4 class=\"wp-block-heading\" id=\"h-1-unified-visibility-across-infrastructure-cloud-network-and-saas\">1) Unified Visibility Across Infrastructure, Cloud, Network, and SaaS<\/h4><p>MSPs need coverage across the environments their customers actually run: on-prem infrastructure, cloud platforms, network devices, SaaS applications, APIs, DNS, logs, events, and digital experience.<\/p><p>The platform should show these layers together instead of sending engineers into separate tools for every clue.<\/p><h4 class=\"wp-block-heading\" id=\"h-2-automated-discovery-and-dependency-context\">2) Automated Discovery and Dependency Context<\/h4><p>Manual setup slows onboarding and leaves gaps. A strong platform can discover resources, map relationships, and show how systems depend on each other.<\/p><p>Engineers can start with the relationship between systems instead of rebuilding that map during every incident.<\/p><h4 class=\"wp-block-heading\" id=\"h-3-multi-tenant-architecture-and-customer-segmentation\">3) Multi-Tenant Architecture and Customer Segmentation<\/h4><p>MSPs need to separate customer environments without losing centralized visibility. Customer-level segmentation, role-based access, grouped resources, customer-specific dashboards, and reporting views all matter here.<\/p><p>That separation keeps daily operations cleaner and gives customers reporting that reflects their own environment.<\/p><h4 class=\"wp-block-heading\" id=\"h-4-intelligent-alerting-and-noise-reduction\">4) Intelligent Alerting and Noise Reduction<\/h4><p>Alert volume grows quickly across multiple customers. Dynamic thresholds, alert correlation, dependent alert suppression, routing logic, and escalation controls help teams stay focused.<\/p><p>The team still sees what needs attention, but fewer engineers lose time chasing duplicate symptoms.<\/p><h4 class=\"wp-block-heading\" id=\"h-5-psa-and-itsm-integration\">5) PSA and ITSM Integration<\/h4><p>Monitoring insights need to connect to service workflows. Integrations with tools like ConnectWise, Autotask, ServiceNow, or other PSA and ITSM systems help teams create, update, route, and close tickets without duplicating work.<\/p><h4 class=\"wp-block-heading\" id=\"h-6-automation-and-workflow-orchestration\">6) Automation and Workflow Orchestration<\/h4><p>Automation helps MSPs standardize response across customers. Alert-triggered workflows, runbook support, escalation chains, and governed actions can reduce repetitive manual work.<\/p><p>Good automation does not replace engineers. It gives them a faster, more consistent way to act.<\/p><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50\">\n  \n  <div class=\"rtc-text-content__wrapper\">\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900\">\n        <p>Want to understand how automation helps MSPs scale operations without increasing overhead?<\/p>\n      <\/div>\n    \n          \n      \n              <div>\n            <a href=\"https:\/\/www.logicmonitor.com\/blog\/7-reasons-why-msps-benefit-from-it-automation\" class=\"btn btn-link\" target=\"_self\">\n        Read our Blog          <span class=\"icon-end\"><svg class=\"\" width=\"20px\" height=\"20px\" style=\"fill: #060F4B\">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-arrow-right\"><\/use>\n    <\/svg><\/span>\n      <\/a>\n        <\/div>\n            <\/div>\n<\/div><h4 class=\"wp-block-heading\" id=\"h-7-ai-guided-rca-prioritization-and-next-best-action\">7) AI-guided RCA, Prioritization and Next-Best Action<\/h4><p>AI should do more than summarize alerts. It should help teams interpret telemetry, identify likely root causes, prioritize by impact, recommend next steps, and coordinate action within guardrails.<\/p><p>MSP teams get fewer disconnected clues, a clearer view of customer impact, and better evidence that service has recovered.<\/p><h4 class=\"wp-block-heading\" id=\"h-8-digital-experience-and-internet-performance-visibility\">8) Digital Experience and Internet Performance Visibility<\/h4><p>MSPs also need to know whether the issue sits inside the customer environment or somewhere in the service delivery path. That includes user experience, web performance, APIs, DNS, CDN, ISP behavior, and SaaS availability.<\/p><p>This helps teams prove time to innocence when the issue is external and confirm that the customer experience has recovered after remediation.<\/p><h4 class=\"wp-block-heading\" id=\"h-9-validation-at-the-user-layer\">9) Validation at the User Layer<\/h4><p>MSPs need to show customers what happened, what changed, and how service performance is trending. Customer-facing dashboards, scheduled reports, dashboard snapshots, SLA views, and QBR-ready evidence all support that work.<\/p><p>The easier it is to show what happened and how the team responded, the easier it is to prove the value of the service.<\/p><h2 class=\"wp-block-heading\" id=\"h-best-msp-software-for-monitoring-and-observability\">Best MSP Software for Monitoring and Observability<\/h2><p>Each platform below solves a different slice of the MSP monitoring problem. The right choice depends on the environments you support, the workflows your team runs, and how much context engineers need before they can act.<\/p><figure class=\"wp-block-table is-style-stripes\"><table class=\"has-fixed-layout\"><thead><tr><th>Plateforme<\/th><th>Best For<\/th><th>Key Strengths<\/th><\/tr><\/thead><tbody><tr><td><strong>LogicMonitor<\/strong><\/td><td>MSPs managing multi-customer hybrid environments that need infrastructure, cloud, network, digital experience, and AI-guided troubleshooting in one operational view<\/td><td>Multi-tenant architecture with RBAC<br>Collector-based hybrid monitoring<br>Auto-discovery, topology, and context<br>Alert correlation<br>AI-guided RCA and incident prioritization through Edwin AI<br>Digital experience and Internet performance visibility across APIs, DNS, CDN, ISP behavior, and SaaS delivery paths through Catchpoint<br>ITSM\/PSA integrations<br>Customer-specific dashboards and reporting<br>R\u00e9solution automatis\u00e9e<\/td><\/tr><tr><td><strong>Datadog<\/strong><\/td><td>Cloud-native and application-heavy environments<\/td><td>Infrastructure, application, log, and network telemetry<br>Cloud-first monitoring model<br>Flexible tagging and dashboarding<br>Broad integration ecosystem<\/td><\/tr><tr><td><strong>Dynatrace<\/strong><\/td><td>Large-scale hybrid and multi-cloud environments with complex application dependencies<\/td><td>D\u00e9couverte automatique<br>Service mapping<br>Application observability<br>AI-assisted root cause analysis<\/td><\/tr><tr><td><strong>SolarWinds Observability<\/strong><\/td><td>MSPs that need consolidated monitoring across networks, servers, and applications<\/td><td>Infrastructure and network monitoring<br>Topology visualization<br>Automatic discovery<br>Broad device and vendor coverage<\/td><\/tr><tr><td><strong>ManageEngine (OpManager \/ Site24x7)<\/strong><\/td><td>MSPs managing multi-site networks and infrastructure-heavy environments<\/td><td>Network, server, WAN, wireless, and storage monitoring<br>Fault monitoring<br>Centralized multi-site visibility<br>Infrastructure-focused reporting<\/td><\/tr><tr><td><strong>New Relic<\/strong><\/td><td>Cloud-native environments focused on distributed applications<\/td><td>APM<br>Log and infrastructure monitoring<br>Support OpenTelemetry<br>Service-level visibility<\/td><\/tr><tr><td><strong>ScienceLogic<\/strong><\/td><td>Enterprise-scale environments with AIOps and service mapping needs<\/td><td>Infrastructure and application monitoring<br>Event correlation<br>Service mapping<br>Automatisation des workflows<\/td><\/tr><tr><td><strong>IBM Instana<\/strong><\/td><td>Microservices-heavy and application performance environments<\/td><td>Automatic discovery<br>Dependency mapping<br>Distributed tracing<br>Real-time application monitoring<\/td><\/tr><\/tbody><\/table><\/figure><p><\/p><div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:100%\"><\/div>\n<\/div><h4 class=\"wp-block-heading\">1) LogicMonitor<\/h4><p>LogicMonitor gives MSPs one place to monitor hybrid customer environments across infrastructure, network, cloud, digital experience, and AI-guided incident response.<\/p><p>LM Envision brings infrastructure, cloud, network, logs, and events into a shared observability layer. Catchpoint IPM extends visibility into the service-delivery paths customers depend on, including user experience, Internet performance, APIs, DNS, CDN, ISP behavior, and SaaS availability. Edwin AI helps teams interpret signals, prioritize incidents, identify likely root causes, and coordinate response through ITSM and PSA integrations.<\/p><p>For MSP teams, that means fewer disconnected signals, clearer customer impact, faster troubleshooting, and stronger proof that service has recovered.<\/p><p><strong>Key strengths:<\/strong><\/p><p>&ndash; Multi-tenant monitoring with customer isolation and role-based access control<\/p><p>&ndash; Collector-based monitoring for hybrid environments without heavy agent overhead<\/p><p>&ndash; Auto-discovery across infrastructure, cloud resources, network devices, and services<\/p><p>&ndash; Topology and context for understanding dependencies across customer environments<\/p><p>&ndash; Alert correlation, dynamic thresholds, and AI-assisted root cause analysis<\/p><p>&ndash; Digital experience and Internet performance visibility through Catchpoint<\/p><p>&ndash; Native integrations with ConnectWise, Autotask, ServiceNow, and other ITSM tools<\/p><p>&ndash; Customer-specific dashboards, dashboard snapshots, and reporting views<\/p><p>&ndash; REST API and integrations across monitoring, ITSM, and automation workflows<\/p><p>Watchouts:<\/p><p>&ndash; LogicMonitor strengthens the monitoring and observability layer; it is not a replacement for PSA, billing, backup, or security tools.<\/p><p>&ndash; MSPs get the most value when collector groups, resource groups, dashboards, alert routing, and customer segmentation are set up intentionally.<\/p><p><br><strong>Website: <\/strong><a href=\"https:\/\/www.logicmonitor.com\/fr\/solutions\/msp\">LogicMonitor MSP Monitoring<\/a><\/p><h4 class=\"wp-block-heading\">2) Datadog<\/h4><p>Datadog brings infrastructure, application, log, and network telemetry into a cloud-first platform.<\/p><p>MSPs should weigh that strength against usage-based costs, configuration needs, and the extra work required to manage cleanly across many customers.<\/p><p>Key considerations:<\/p><p>&ndash; Useful for cloud-native and containerized environments<\/p><p>&ndash; Stronger fit for application and service telemetry than traditional MSP operations<\/p><p>&ndash; Costs can increase as telemetry volume grows<\/p><p>&ndash; Multi-customer workflows may require extra configuration<\/p><p><br><strong>Site web<\/strong>: <a href=\"https:\/\/www.datadoghq.com\/monitoring\/cloud-observability\/\">Datadog Observability<\/a><\/p><h4 class=\"wp-block-heading\">3) Dynatrace<\/h4><p>Dynatrace is built for automated discovery, service mapping, and application-aware observability across distributed systems.<\/p><p>The tradeoff is depth versus operational fit: cost, implementation effort, and day-to-day administration can be heavy for multi-customer MSP teams.<\/p><p>Key considerations:<\/p><p>&ndash; Useful for complex application and hybrid environments<\/p><p>&ndash; Automated discovery and dependency mapping can support root cause analysis<\/p><p>&ndash; Implementation and administration can be heavy<\/p><p>&ndash; Licensing and total cost may be difficult to manage across many customers<\/p><p><br><strong>Site web<\/strong>: <a href=\"https:\/\/www.dynatrace.com\/\">Dynatrace Observability<\/a><\/p><h4 class=\"wp-block-heading\">4) SolarWinds Observability<\/h4><p>SolarWinds Observability may fit teams that already know the SolarWinds ecosystem or need infrastructure and network monitoring across familiar IT environments.<\/p><p>MSPs that already know SolarWinds may find it familiar, but they should still pressure-test alert noise, hybrid coverage, and management overhead.<\/p><p>Key considerations:<\/p><p>&ndash; Familiar option for infrastructure and network monitoring<\/p><p>&ndash; Topology visualization and discovery can help with environment mapping<\/p><p>&ndash; Alert noise may require careful tuning<\/p><p>&ndash; Advanced use cases can add setup and management complexity<\/p><p><br><strong>Site web<\/strong>: <a href=\"https:\/\/www.solarwinds.com\/solutions\/solarwinds-observability\">SolarWinds Observability<\/a><\/p><h4 class=\"wp-block-heading\">5) ManageEngine (OpManager \/ Site24x7)<\/h4><p>ManageEngine tools cover network, server, WAN, wireless, storage, and fault monitoring across distributed sites.<\/p><p>It can be a practical fit for infrastructure-heavy environments, though broader observability and service workflow needs may require more integration work.<\/p><p>Key considerations:<\/p><p>&ndash; Useful for network and infrastructure monitoring<\/p><p>&ndash; Can support multi-site visibility and fault management<\/p><p>&ndash; Advanced features may require additional modules<\/p><p>&ndash; Third-party integrations and scale can require extra planning<\/p><p><br><strong>Site web<\/strong>: <a href=\"https:\/\/www.manageengine.com\/network-monitoring\/\">ManageEngine OpManager \/ Site24x7<\/a><\/p><h4 class=\"wp-block-heading\">6) New Relic<\/h4><p>New Relic combines application performance monitoring, logs, infrastructure telemetry, and OpenTelemetry support in one platform.<\/p><p>Its application-first model can work well for cloud-native customers, but MSPs should check the fit for network coverage, infrastructure-heavy accounts, customer segmentation, and reporting.<\/p><p>Key considerations:<\/p><p>&ndash; Useful for application and service-level visibility<\/p><p>&ndash; OpenTelemetry support can help with flexible data ingestion<\/p><p>&ndash; Less focused on traditional infrastructure-heavy MSP environments<\/p><p>&ndash; Cost and data volume need to be watched closely<\/p><p><br><strong>Site web<\/strong>: <a href=\"https:\/\/newrelic.com\/\">New Relic Observability<\/a><\/p><h4 class=\"wp-block-heading\">7) ScienceLogic<\/h4><p>ScienceLogic supports complex hybrid environments with infrastructure and application monitoring, event correlation, and service mapping.<\/p><p>It can support complex environments, but setup, customization, and tuning need to match the team&rsquo;s capacity.<\/p><p>Key considerations:<\/p><p>&ndash; Useful for AIOps-style monitoring and event correlation<\/p><p>&ndash; Service mapping can support complex environments<\/p><p>&ndash; Setup and customization may be resource-intensive<\/p><p>&ndash; Alert tuning is important to avoid noise<\/p><p><br><strong>Site web<\/strong>: <a href=\"https:\/\/sciencelogic.com\/solutions\/observability\">ScienceLogic Observability Platform<\/a><\/p><h4 class=\"wp-block-heading\">8) IBM Instana<\/h4><p>IBM Instana focuses on real-time monitoring for applications, infrastructure, and microservices-based environments.<\/p><p>Its real-time application focus is useful for microservices-heavy environments, while broader MSP needs may require additional planning around infrastructure, network, reporting, and service workflows.<\/p><p>Key considerations:<\/p><p>&ndash; Useful for microservices and application performance monitoring<\/p><p>&ndash; Automatic discovery and dependency mapping can help in dynamic environments<\/p><p>&ndash; Less centered on infrastructure-heavy MSP operations<\/p><p>&ndash; Large-scale deployment may require planning and tuning<\/p><p><br><strong>Site web<\/strong>: <a href=\"https:\/\/www.ibm.com\/products\/instana\">IBM Instana Observability<\/a><\/p><h2 class=\"wp-block-heading\" id=\"h-how-logicmonitor-helps-msps-move-from-detection-to-resolution\">How LogicMonitor Helps MSPs Move From Detection to Resolution<\/h2><p>During an incident, MSP teams need to know where the problem started, which customer services are affected, and which action should happen next. LogicMonitor connects those details across monitoring, digital experience, AI-guided troubleshooting, and service workflows.<\/p><p>Here&rsquo;s how the pieces work together:<\/p><p>1. LM Envision collects telemetry across the customer environment, including infrastructure, cloud, network, logs, events, and service dependencies.<\/p><p>2. Topology, context, and alert correlation help the team see what changed and which systems are related.<\/p><p>3. Catchpoint extends the view into digital experience and Internet performance, including APIs, DNS, CDN, ISP behavior, SaaS delivery paths, and user experience.<\/p><p>4. Edwin AI helps prioritize the incident, surface likely root cause, summarize what is happening, and recommend next actions.<\/p><p>5. PSA or ITSM integrations help route the work into the right service workflow.<\/p><p>6. Experience validation helps confirm whether the customer-facing service has recovered.<\/p><p>Response gets faster when engineers can see the failure domain, route the work, and confirm the customer-facing service is healthy again.<\/p><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50\">\n      <span class=\"head-icon\"><svg class=\"\" width=\"50px\" height=\"50px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-light-calendar-check\"><\/use>\n    <\/svg><\/span>\n  \n  <div class=\"rtc-text-content__wrapper\">\n          <h4 class=\"rtc-text-content__headline fs-sm-text-display-xxs fs-md-text-display-xs fs-lg-text-display-sm font-medium text-core-blue-900\">\n        See what&rsquo;s affecting every customer, faster      <\/h4>\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900\">\n        <p>LogicMonitor gives MSP teams one view across infrastructure, cloud, network, digital experience, and incident context, so they can troubleshoot faster and show customers when service is healthy again.<\/p>\n      <\/div>\n    \n          \n      \n              <div>\n            <a href=\"https:\/\/www.logicmonitor.com\/fr\/signup\" class=\"btn btn-link\" target=\"_self\">\n        D\u00e9marrer l'essai gratuit          <span class=\"icon-end\"><svg class=\"\" width=\"20px\" height=\"20px\" style=\"fill: #060F4B\">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-arrow-right\"><\/use>\n    <\/svg><\/span>\n      <\/a>\n        <\/div>\n            <\/div>\n<\/div><h3 class=\"wp-block-heading\" id=\"h-faqs\">FAQ<\/h3><div class=\"accordion-block accordion-block--light\">\n      <div class=\"accordion-block__items\">\n              <div class=\"accordion-block__item active\">\n          \n          <h3 class=\"accordion-block__question\" id=\"h-what-is-the-difference-between-msp-software-and-rmm-software\">\n            What is the difference between MSP software and RMM software?            <span class=\"accordion-block__icon\">\n              <svg width=\"24\" height=\"24\" viewbox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n<path d=\"M6 9L12 15L18 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><\/path>\n<\/svg>\n            <\/span>\n          <\/h3>\n          <div class=\"accordion-block__answer active\">\n            <p>RMM software is one category in the MSP software stack. It helps teams monitor and manage endpoints, servers, and devices, often through agents. MSP software can also include PSA, monitoring and observability, security, backup, billing, and reporting tools.<\/p>\n<p>Here, we&rsquo;re focused on monitoring and observability: the layer MSPs use to understand customer health across infrastructure, cloud, network, SaaS, and digital experience.<\/p>\n                      <\/div>\n        <\/div>\n              <div class=\"accordion-block__item\">\n          \n          <h3 class=\"accordion-block__question\" id=\"h-why-do-msps-need-observability-if-they-already-use-rmm-and-psa-tools\">\n            Why do MSPs need observability if they already use RMM and PSA tools?            <span class=\"accordion-block__icon\">\n              <svg width=\"24\" height=\"24\" viewbox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n<path d=\"M6 9L12 15L18 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><\/path>\n<\/svg>\n            <\/span>\n          <\/h3>\n          <div class=\"accordion-block__answer\">\n            <p>RMM and PSA tools answer different questions. RMM shows device and endpoint health. PSA tracks service work, tickets, SLAs, and customer workflows.<\/p>\n<p>Observability connects signals across the environment so teams can see what changed, what&rsquo;s affected, and where to start troubleshooting.<\/p>\n                      <\/div>\n        <\/div>\n              <div class=\"accordion-block__item\">\n          \n          <h3 class=\"accordion-block__question\" id=\"h-what-should-msps-look-for-in-monitoring-and-observability-software\">\n            What should MSPs look for in monitoring and observability software?            <span class=\"accordion-block__icon\">\n              <svg width=\"24\" height=\"24\" viewbox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n<path d=\"M6 9L12 15L18 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><\/path>\n<\/svg>\n            <\/span>\n          <\/h3>\n          <div class=\"accordion-block__answer\">\n            <p>Prioritize hybrid coverage, customer segmentation, auto-discovery, topology and dependency context, intelligent alerting, PSA or ITSM integrations, reporting, and digital experience visibility.<\/p>\n<p>The right platform helps your team bring customers online quickly, find the real issue, and show that service is healthy again.<\/p>\n                      <\/div>\n        <\/div>\n              <div class=\"accordion-block__item\">\n          \n          <h3 class=\"accordion-block__question\" id=\"h-how-does-ai-help-msp-teams-operate-more-efficiently\">\n            How does AI help MSP teams operate more efficiently?            <span class=\"accordion-block__icon\">\n              <svg width=\"24\" height=\"24\" viewbox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n<path d=\"M6 9L12 15L18 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><\/path>\n<\/svg>\n            <\/span>\n          <\/h3>\n          <div class=\"accordion-block__answer\">\n            <p>AI is useful when it gives engineers a better starting point. It can correlate alerts, prioritize incidents by impact, surface likely root cause, summarize incident context, and recommend next steps.<\/p>\n<p>The goal is less repetitive triage and a more consistent response across customers.<\/p>\n                      <\/div>\n        <\/div>\n              <div class=\"accordion-block__item\">\n          \n          <h3 class=\"accordion-block__question\" id=\"h-how-does-logicmonitor-support-msp-monitoring-and-observability\">\n            How does LogicMonitor support MSP monitoring and observability?            <span class=\"accordion-block__icon\">\n              <svg width=\"24\" height=\"24\" viewbox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n<path d=\"M6 9L12 15L18 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><\/path>\n<\/svg>\n            <\/span>\n          <\/h3>\n          <div class=\"accordion-block__answer\">\n            <p>LogicMonitor helps MSPs monitor hybrid customer environments across infrastructure, cloud, network, logs, events, and services. Catchpoint adds digital experience and Internet performance visibility across APIs, DNS, CDN, ISP behavior, SaaS delivery paths, and user experience. Edwin AI helps teams interpret signals, prioritize incidents, identify likely root cause, and coordinate action through service workflows.<\/p>\n<p>Those capabilities help MSPs move from detection to diagnosis to validation faster.<\/p>\n                      <\/div>\n        <\/div>\n          <\/div>\n  <\/div>","protected":false},"excerpt":{"rendered":"<p>D\u00e9couvrez les capacit\u00e9s d'observabilit\u00e9 dont les MSP ont besoin pour r\u00e9duire le bruit et r\u00e9soudre les incidents plus rapidement.<\/p>","protected":false},"author":16,"featured_media":613201,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"unicorn_plugin_options_block_body_class":"","footnotes":""},"categories":[5035,5066],"tags":[5331,7850,5683,7777,7760,7752,7776,6872,6939,7050],"industry":[7518],"language":[7],"role":[7527],"lm_search_queries":[],"lm_strategic_tags":[],"topic":[6781],"class_list":["post-613150","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","industry-managed-service-provider","language-english","role-service-support","topic-observability"],"acf":{"is_global_bar_disabled":false,"is_global_bar_overriden":false,"is_search_excluded":false,"page_language":"english","translated_pages":"","reviewers":false,"is_global_form_disabled":false,"is_global_form_override":false,"component_layouts":false,"related_resources":false,"updated_date":"","author_section_checkbox":false,"reviewer_name":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.9 (Yoast SEO v26.9) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Best MSP Software in 2026: How to Choose the Right Platform | LogicMonitor<\/title>\n<meta name=\"description\" content=\"MSPs need more than RMM and PSA tools to troubleshoot customer environments. Learn which monitoring and observability capabilities help reduce alert noise, identify root cause, and improve service delivery.\" \/>\n<meta name=\"robots\" content=\"noindex, nofollow\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Best MSP Software in 2026: How to Choose the Right Platform\" \/>\n<meta property=\"og:description\" content=\"MSPs need more than RMM and PSA tools to troubleshoot customer environments. Learn which monitoring and observability capabilities help reduce alert noise, identify root cause, and improve service delivery.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.logicmonitor.com\/fr\/blog\/best-msp-monitoring-observability-platform\" \/>\n<meta property=\"og:site_name\" content=\"LogicMonitor\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/LogicMonitor\/\" \/>\n<meta property=\"article:published_time\" content=\"2026-06-09T18:29:45+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-06-09T18:29:51+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.logicmonitor.com\/wp-content\/uploads\/2026\/06\/Blog_Best-MSP-Software_-How-to-Choose-the-Right-Platform_1600x900_MetaTag-1.png\" \/>\n\t<meta property=\"og:image:width\" content=\"2400\" \/>\n\t<meta property=\"og:image:height\" content=\"1350\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Destiny Setzer\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@logicmonitor\" \/>\n<meta name=\"twitter:site\" content=\"@logicmonitor\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.logicmonitor.com\/fr\/blog\/best-msp-monitoring-observability-platform#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.logicmonitor.com\/fr\/blog\/best-msp-monitoring-observability-platform\"},\"author\":{\"name\":\"Destiny Setzer\",\"@id\":\"https:\/\/www.logicmonitor.com\/fr\/#\/schema\/person\/6eed89efa2f1a7bc2d16393927230350\"},\"headline\":\"Best MSP Software in 2026: How to Choose the Right Platform\",\"datePublished\":\"2026-06-09T18:29:45+00:00\",\"dateModified\":\"2026-06-09T18:29:51+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.logicmonitor.com\/fr\/blog\/best-msp-monitoring-observability-platform\"},\"wordCount\":2726,\"publisher\":{\"@id\":\"https:\/\/www.logicmonitor.com\/fr\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.logicmonitor.com\/fr\/blog\/best-msp-monitoring-observability-platform#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.logicmonitor.com\/wp-content\/uploads\/2026\/06\/Blog_Best-MSP-Software_-How-to-Choose-the-Right-Platform_940x600_Featured-Image-1.png\",\"keywords\":[\"alerts\",\"Catchpoint\",\"dashboards\",\"Edwin\",\"Incident Response\",\"LM Envision\",\"Role-Based Access Control\",\"root cause analysis\",\"servicenow\",\"topology\"],\"articleSection\":[\"Blog\",\"Monitoring &amp; Observability\"],\"inLanguage\":\"fr-FR\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.logicmonitor.com\/fr\/blog\/best-msp-monitoring-observability-platform\",\"url\":\"https:\/\/www.logicmonitor.com\/fr\/blog\/best-msp-monitoring-observability-platform\",\"name\":\"Best MSP Software in 2026: How to Choose the Right Platform | LogicMonitor\",\"isPartOf\":{\"@id\":\"https:\/\/www.logicmonitor.com\/fr\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.logicmonitor.com\/fr\/blog\/best-msp-monitoring-observability-platform#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.logicmonitor.com\/fr\/blog\/best-msp-monitoring-observability-platform#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.logicmonitor.com\/wp-content\/uploads\/2026\/06\/Blog_Best-MSP-Software_-How-to-Choose-the-Right-Platform_940x600_Featured-Image-1.png\",\"datePublished\":\"2026-06-09T18:29:45+00:00\",\"dateModified\":\"2026-06-09T18:29:51+00:00\",\"description\":\"MSPs need more than RMM and PSA tools to troubleshoot customer environments. 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l'\u00e9lan de l'entreprise en APAC : une conversation avec Dave Patnaik"},"content":{"rendered":"<?xml encoding=\"UTF-8\"><p>There&rsquo;s a lot happening across Asia Pacific right now. Enterprises are moving quickly to modernize operations, adopt AI, and manage growing complexity across increasingly distributed environments, and the opportunity ahead for LogicMonitor in the region continues to grow alongside it.<\/p><p>That&rsquo;s why I&rsquo;m especially excited to welcome Dave Patnaik to LogicMonitor as our new Vice President of APAC.<\/p><p>I&rsquo;ve had the chance to spend time with Dave over the past few weeks, and what immediately stood out was his deep understanding of the region, his customer-first mindset, and his experience building high-performing enterprise and partner organizations across APAC. Having led Red Hat&rsquo;s $1B APJ ecosystem business, along with leadership roles at Forescout, SolarWinds, Wolters Kluwer, Trend Micro, Dave brings deep operational and regional\/international experience that will be incredibly valuable as we continue growing across Asia Pacific.<\/p><p>We recently sat down to talk about what&rsquo;s changing across the enterprise technology landscape, why APAC remains such an important growth market, how customer expectations are evolving, and what excites him most about joining LogicMonitor at this stage of the company&rsquo;s journey.<\/p><p><strong>John: <\/strong><strong>You&rsquo;ve spent your career building and scaling enterprise and partner organizations across APAC. What was it about LogicMonitor, and this moment in the market, that made this the right opportunity for you?<\/strong><\/p><p>Dave: Throughout my career scaling massive enterprise and partner ecosystems in APJ &amp; International markets, I have watched organizations invest millions into monitoring tools, only to end up with more data silos, fragmented views, and worst of all, severe alert fatigue. The human scaled operating model that IT was built on simply cannot keep pace with modern digital complexity.<\/p><p>What brought me to LogicMonitor is the fact that we aren&rsquo;t just building another dashboard. We are fundamentally shifting the paradigm from reactive visibility to true Autonomous IT. Passing $400M in ARR globally&mdash;with our AI operating layer, Edwin AI, already driving a third of total bookings proves that enterprises are hungry for this exact shift. To step in and lead this world class team right as we fundamentally redefine how enterprises operate is a challenge and an opportunity I could not pass up.<\/p><p><strong>John: <\/strong><strong>APAC is an incredibly diverse and fast-moving region. Where are you seeing the biggest opportunities and challenges for enterprise organizations right now?<\/strong><\/p><p>Dave: The single greatest operational challenge APJ leaders face today is the &lsquo;blind spot problem.&rsquo; Today&rsquo;s enterprise footprint spans legacy on premises data centers, hyper scale public clouds, dozens of SaaS applications, and complex global Internet routing pathways. When an application degrades for a user in Tokyo or Sydney, IT teams waste hours finger pointing because they can not tell if the issue is in their code, an AWS region, a local ISP peering point, or a global CDN.<\/p><p>This is exactly where our massive market opportunity lies. By integrating Catchpoint&rsquo;s Internet performance intelligence directly into LogicMonitor and feeding that telemetry into Edwin AI, we are eliminating those external perimeters and blind spots entirely. We are giving APJ enterprise leaders a single, cohesive source of truth that connects back end infrastructure directly to real world end user digital experiences.<\/p><p><strong>John: <\/strong><strong>You&rsquo;ve led large ecosystem and partner organizations throughout your career. How do you see the role of partners evolving across APAC?<\/strong><\/p><p>Dave: In APJ, partners aren&rsquo;t just a channel; they are the absolute lifeblood of scale. But the traditional partner relationship based on transactional software reselling is dead. Today, Global System Integrators (GSIs), managed service providers (MSPs), and regional cloud partners are under immense pressure to deliver actual business outcomes, protect client SLAs, and drive down operational toil.<\/p><p>My mission is to build a scalable, highly lucrative partner ecosystem across the region. We are empowering our partners to embed our agentic AIOps directly into their managed services delivery. By arming them with the LogicMonitor platform, we are giving them an AI centric engine to reduce incident noise, accelerate root cause isolation, and pass &lsquo;self-healing&rsquo; IT capabilities straight to their end customers.&nbsp;<\/p><p><strong>John: <\/strong><strong>A lot of organizations are trying to balance innovation, AI adoption, and operational resilience all at once. What are customers telling you they need most right now?<\/strong><\/p><p>Dave: Customers are looking for simplicity and confidence. They don&rsquo;t want more dashboards or another tool to manage.&nbsp;<\/p><p>What they need right now is predictive resilience and trusted automation. They want a platform that can map complex infrastructure dependencies across their entire estate, prioritize alerts based on actual business impact, and run automated, governed remediation workflows before a human operator even has to get involved. They need technology that quietly handles the operational heavy lifting so their engineering talent can actually focus on topline innovation.<\/p><p><strong>John: <\/strong><strong>LogicMonitor recently announced its Autonomous IT Innovation Program. How do you see AI changing enterprise operations over the next few years?<\/strong><\/p><p>Dave: The launch of our Autonomous IT Innovation Program marks a deliberate turn toward an AI centric operational future. Over the next few years, AI will become the primary layer through which enterprise teams work. But let me be perfectly clear: this is not about replacing human operators or removing specialized expertise. It is about removing the endless &lsquo;toil&rsquo; that burns teams out.<\/p><p>We are building next generation, user-in-the-loop workflows. Edwin AI serves as the front door, swiftly doing the manual compilation, correlation, and guided root-cause investigation across billions of data points in real time. It presents the exact context, blast radius, and remediation options, but keeps the human enterprise operator firmly in the control plane with robust governance. It elevates the role of the IT professional from an exhausted firefighter to a high-level strategic orchestrator<\/p><p><strong>John: <\/strong><strong>What excites you most about the opportunity ahead for LogicMonitor in APAC?<\/strong><\/p><p>Dave: What excites me most is the raw speed, diversity, and appetite for digital transformation across the APJ market. From the rapid infrastructure scaling in ASEAN to the highly sophisticated enterprise requirements across Australia, New Zealand, and Japan, there is a massive delta between legacy monitoring capabilities and what the modern digital economy requires. LogicMonitor has the right platform, the right AI engine with Edwin, and the absolute perfect market timing to completely dominate this space. The opportunity to build this footprint from the ground up alongside such an ambitious global team is incredibly energizing.<\/p><p><strong>John: <\/strong><strong>As you think about your first 6&ndash;12 months, what are your biggest priorities?<\/strong><\/p><p>Dave: I have three priorities for my first year for APJ:<\/p><ol class=\"wp-block-list\">\n<li><strong>Modernize and Scale our GTM Team:<\/strong> We are aggressively modernizing our regional go to market execution. We are aligning our teams around an AI-first platform narrative, ensuring every single engagement focuses on unlocking quantifiable business outcomes, rapid time to value, and massive operational ROI for our customers.<\/li>\n\n\n\n<li><strong>Accelerate Regional Expansion:<\/strong> We are expanding deep into targeted high growth enterprise countries, ensuring we have the localized presence, ecosystem partners, support, and domain expertise necessary to back up major enterprise migrations across the APJ theater.<\/li>\n\n\n\n<li><strong>Deepen the Partner Control Plane:<\/strong> We are completely aligning our success with our ecosystem. I want LogicMonitor to be the unquestioned vendor of choice for every major GSI, LSI, VAR and regional service provider looking to deliver modern, self healing digital operations to their clients.<\/li>\n<\/ol><p><\/p><style>\n.toc-container {\ndisplay: none !important;\n}\n\n.blog-detail .blog-sidebar .blog-sidebar-content {\ngap: 0 !important;\n}\n<\/style><script>\nconst observer = new MutationObserver(() => {\n  const toc = document.querySelector('.toc-container');\n  const sidebar = document.querySelector('.blog-detail .blog-sidebar .blog-sidebar-content');\n\n  if (toc) toc.style.display = 'none';\n  if (sidebar) sidebar.style.gap = '0px';\n\n  if (toc && sidebar) {\n    observer.disconnect();\n  }\n});\n\nobserver.observe(document.body, {\n  childList: true,\n  subtree: true\n});\n<\/script>","protected":false},"excerpt":{"rendered":"<p>LogicMonitor accueille Dave Patnaik en tant que vice-pr\u00e9sident pour l'APAC, apportant une solide exp\u00e9rience en leadership d'entreprise et aupr\u00e8s des partenaires pour acc\u00e9l\u00e9rer la croissance r\u00e9gionale et les op\u00e9rations pilot\u00e9es par l'IA.<\/p>","protected":false},"author":14,"featured_media":612976,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"unicorn_plugin_options_block_body_class":"","footnotes":""},"categories":[1],"tags":[],"industry":[6790],"language":[7],"role":[],"lm_search_queries":[],"lm_strategic_tags":[],"topic":[],"class_list":["post-612974","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","industry-all","language-english"],"acf":{"is_global_bar_disabled":false,"is_global_bar_overriden":false,"page_language":"english","translated_pages":"","reviewers":false,"is_search_excluded":false,"is_global_form_disabled":false,"is_global_form_override":false,"component_layouts":false,"related_resources":false,"updated_date":"","author_section_checkbox":true,"reviewer_name":"","author_image":"https:\/\/www.logicmonitor.com\/wp-content\/uploads\/2026\/02\/John.png","author_linkedin":"https:\/\/www.linkedin.com\/in\/johngrosshans\/","author_name":"John Grosshans","author_job_title":"President of Field Operations, LogicMonitor","author_dept":"","author_bio":"John Grosshans oversees LogicMonitor\u2019s global go-to-market organization, including marketing, customer success, sales, and channel functions. With more than 20 years of leadership in enterprise software and cloud, he brings deep experience building scalable teams and driving growth at scale.\r\nPrior to joining LogicMonitor, John served as Chief Operations Officer at Coveo, where he led a 600-person global sales organisation and drove international bookings. He also held senior leadership roles at Palo Alto Networks, Amazon Web Services, Oracle and SAP, delivering customer-first innovation and operational rigor in fast-growing environments. At LogicMonitor, John is focused on expanding the company\u2019s global reach, accelerating growth, and helping enterprises harness the full power of AI to transform their digital operations.\r\nJohn holds a Bachelor of Science in Industrial Distribution from Clarkson University and is based in Laguna Beach, CA."},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.9 (Yoast SEO v26.9) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Building Enterprise Momentum Across APAC: A Conversation with Dave Patnaik | LogicMonitor<\/title>\n<meta name=\"description\" content=\"LogicMonitor welcomes Dave Patnaik as VP of APAC, bringing deep enterprise and partner leadership experience to accelerate regional growth and AI-driven operations.\" \/>\n<meta name=\"robots\" content=\"noindex, nofollow\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" 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des performances Internet : Comprendre l'exp\u00e9rience num\u00e9rique du point de vue de l'utilisateur"},"content":{"rendered":"<?xml encoding=\"UTF-8\"><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50 rtc-text-content--no-top-pad\">\n      <span class=\"head-icon\"><svg class=\"\" width=\"50px\" height=\"50px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-light-book-open\"><\/use>\n    <\/svg><\/span>\n  \n  <div class=\"rtc-text-content__wrapper\">\n          <h4 class=\"rtc-text-content__headline fs-sm-text-display-xs fs-md-text-display-sm fs-lg-text-display-md font-medium text-core-blue-900\">\n        Le t\u00e9l\u00e9chargement rapide :      <\/h4>\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900 headline-is-quote\">\n        <p><span style=\"font-weight: 400\">Internet Performance Monitoring (IPM) provides end-to-end visibility into what happens between your infrastructure and your users, across networks and services you don&rsquo;t own or control.<\/span><\/p>\n      <\/div>\n    \n                  <ul class=\"rtc-text-content__bullet-list\">\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p><span style=\"font-weight: 400\">Most monitoring tools tell you whether your systems are up. IPM helps you validate whether they&rsquo;re actually reaching people, on their network, in their location, right now.<\/span><\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p><span style=\"font-weight: 400\">Catchpoint&rsquo;s Global Agent Network, part of the LogicMonitor platform, is independent from your cloud hosting, which means when your provider goes down, your visibility doesn&rsquo;t go down with it.<\/span><\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p><span style=\"font-weight: 400\">The difference between availability and reachability sounds subtle until an outage hits users in one region and your dashboards show everything green.<\/span><\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p><span style=\"font-weight: 400\">If your monitoring stops at your own infrastructure, you&rsquo;re only seeing half the picture. IPM monitors the other half.<\/span><\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p><span style=\"font-weight: 400\">If your monitoring stops at your own infrastructure, you&rsquo;re only seeing half the picture. IPM monitors the other half.<\/span><\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                  <\/ul>\n      \n      \n            <\/div>\n<\/div><p>The internet is your network now. Your apps live in the cloud, your users are everywhere, and the systems that deliver your applications and services to them use hundreds of providers, ISPs, and networks beyond your control.<\/p><p>In practice, that means infrastructure monitoring is the foundation. You also need visibility into everything beyond your perimeter. <a href=\"https:\/\/www.logicmonitor.com\/internet-performance-monitoring\">Surveillance des performances Internet<\/a> (IPM) extends that visibility across the entire delivery path from your systems to your users, through every layer in between.<\/p><p>Watch a walkthrough of how Catchpoint&rsquo;s IPM monitors from real&#8209;user vantage points and surfaces composite experience, Core Web Vitals, and AI&#8209;identified events in a single view, or keep reading to learn more.<\/p><section id=\"\" class=\"section bg-white theme-light    section-bg-dark\">\n        <div class=\"section-content container\">\n    <div class=\"full-width-media-wrapper\">\n<div class=\"media-assets-block\">\n    <div class=\"media-container object-center-center aspect-auto type-wistia_embed\" style=\"max-width: 100svh; \">\n\n          <div class=\"wistia_embed\">\n        <div class=\"\">\n          <p><script src=\"https:\/\/fast.wistia.com\/embed\/medias\/3mk0scotaf.jsonp\" async><\/script><br>\n<script src=\"https:\/\/fast.wistia.com\/assets\/external\/E-v1.js\" async><\/script><\/p>\n<div class=\"wistia_responsive_padding\" style=\"padding: 56.25% 0 0 0; position: relative;\">\n<div class=\"wistia_responsive_wrapper\" style=\"height: 100%; left: 0; position: absolute; top: 0; width: 100%;\">\n<div class=\"wistia_embed wistia_async_3mk0scotaf videoFoam=true\" style=\"height: 100%; position: relative; width: 100%;\">\n<div class=\"wistia_swatch\" style=\"height: 100%; left: 0; opacity: 0; overflow: hidden; position: absolute; top: 0; transition: opacity 200ms; width: 100%;\"><img decoding=\"async\" style=\"filter: blur(5px); height: 100%; object-fit: contain; width: 100%;\" src=\"https:\/\/fast.wistia.com\/embed\/medias\/3mk0scotaf\/swatch\" alt=\"\" aria-hidden=\"true\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n        <\/div>\n      <\/div>\n      <\/div>\n  <\/div>\n<\/div><\/div><\/section><h3 class=\"wp-block-heading\" id=\"h-where-your-users-actually-are\">Where Your Users Actually Are<\/h3><p>APM tools are useful for monitoring what happens inside your stack, but they lack visibility of the full internet stack between your infrastructure and the person trying to load a page, sign in, or complete a transaction.<br>Your <a href=\"https:\/\/www.catchpoint.com\/glossary\/internet-stack\">internet stack<\/a> includes the paths and services users rely on to reach your applications, such as BGP, DNS, CDNs, backbone ISPs, wireless networks, last-mile connections, and edge locations.<\/p><figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/www.logicmonitor.com\/wp-content\/uploads\/2026\/04\/Image-1-The-Internet-Stack-brings-hidden-interdependencies-1024x594.png\" alt=\"\"><\/figure><p>IPM provides visibility into each layer of the internet stack, giving teams a clearer view of the conditions users experience when they access digital services. So when performance suffers, or an outage hits, that visibility is what determines whether you&rsquo;re looking at your problem to fix or someone else&rsquo;s.<\/p><h3 class=\"wp-block-heading\" id=\"h-what-ipm-monitors-and-why-it-matters\">What IPM Monitors, and Why It Matters<\/h3><p>Most monitoring tools ask one question: Is it up? IPM asks a different question: whether your systems are actually reaching people at all.<\/p><p>That&rsquo;s the difference between availability and reachability. Availability shows whether a system responds. Reachability indicates whether users can access it through the networks they use.<\/p><p>That distinction matters for customer-facing services, employee tools, ecommerce flows, SaaS applications, and APIs. A service can be running while DNS resolution, ISP routing, CDN behavior, or a third-party dependency creates friction for users.<\/p><p>IPM helps teams move from suspicion to evidence. When a payment API slows down, DNS resolution spikes, or a provider route introduces latency, IPM surfaces that evidence at the affected layer of the internet stack rather than leaving teams to guess where in the delivery path things broke down.<\/p><h3 class=\"wp-block-heading\" id=\"h-the-worlds-largest-active-monitoring-network\">The World&rsquo;s Largest Active Monitoring Network<\/h3><p>LogicMonitor, via Catchpoint, runs the world&rsquo;s largest active monitoring network, and where you monitor from matters more than most people realize. If you only monitor from the same cloud infrastructure where your applications are hosted, you create an inherent conflict of interest with visibility. When that infrastructure experiences an outage or degradation, your monitoring is subject to exactly the same conditions.&nbsp;<\/p><p>Catchpoint addresses this by monitoring backbone ISPs, wireless carriers, last-mile networks, and edge nodes that are entirely decoupled from your hosting environment, so you see it clearly when something degrades upstream or downstream of your infrastructure, rather than losing the signal at the moment you need it most. This keeps outside&#8209;in validation running even when internal telemetry looks healthy.<\/p><h3 class=\"wp-block-heading\" id=\"h-what-you-can-see-with-ipm\">What You Can See With IPM<\/h3><p>IPM gives you a unified view of performance across your entire internet stack. From a single dashboard, you can track:<\/p><ul class=\"wp-block-list\">\n<li><strong>Composite Experience Score<\/strong>: an at-a-glance read on how your users are experiencing your product<\/li>\n\n\n\n<li><strong>Uptime and availability metrics<\/strong>: is it up, and for whom<\/li>\n\n\n\n<li><strong>Web performance metrics<\/strong>: load times, response times, and request paths<\/li>\n\n\n\n<li><strong>Visual display metrics<\/strong>: how the page actually renders in the browser<\/li>\n\n\n\n<li><strong>Core Web Vitals<\/strong>: the signals that affect both user experience and search ranking<\/li>\n\n\n\n<li><strong>AI-powered event identification<\/strong>: surface anomalies without wading through noise<\/li>\n<\/ul><p>For deeper investigation, filmstrip views and detailed waterfall data let you trace exactly what happened during an individual test run step by step. Beyond the core dashboard, Catchpoint IPM includes customizable dashboards, test management, instant tests, scheduling, alerts, and integrations so it fits into the workflows your team already uses.<\/p><h3 class=\"wp-block-heading\" id=\"h-how-internet-performance-monitoring-supports-the-move-toward-autonomous-it\">How Internet Performance Monitoring Supports the Move Toward Autonomous IT<\/h3><p>Autonomous IT runs on a closed loop: detect signals, understand what is affected, decide what should happen next, take governed action, and verify that the action worked. Each step depends on the quality of the data behind it.<\/p><p>Internet performance monitoring strengthens that loop by adding evidence that internal telemetry can&rsquo;t provide on its own. For example, what happens between the user and the service, across the internet paths and third-party dependencies outside your own infrastructure.<br>Together, <a href=\"https:\/\/www.logicmonitor.com\/fr\/platform\">LM Envision<\/a>, <a href=\"https:\/\/www.logicmonitor.com\/blog\/edwin-ai-catchpoint-internet-visibility-autonomous-it\">Catchpoint, and Edwin AI<\/a> give teams the visibility, context, and governed action needed to operate with more confidence across the full digital environment.<\/p><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50\">\n      <span class=\"head-icon\"><svg class=\"\" width=\"50px\" height=\"50px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-light-calendar-check\"><\/use>\n    <\/svg><\/span>\n  \n  <div class=\"rtc-text-content__wrapper\">\n          <h4 class=\"rtc-text-content__headline fs-sm-text-display-xxs fs-md-text-display-xs fs-lg-text-display-sm font-medium text-core-blue-900\">\n        See Internet Performance Monitoring In Action      <\/h4>\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900\">\n        <p><span style=\"font-weight: 400\">Learn how LogicMonitor uses Catchpoint to extend visibility across digital experience, external dependencies, and Internet performance as part of one connected Autonomous IT system.<\/span><\/p>\n      <\/div>\n    \n          \n      \n              <div>\n            <a href=\"https:\/\/www.logicmonitor.com\/catchpoint\/tours-demos\" class=\"btn btn-link\" target=\"_self\">\n        Demandez une d\u00e9mo          <span class=\"icon-end\"><svg class=\"\" width=\"20px\" height=\"20px\" style=\"fill: #060F4B\">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-arrow-right\"><\/use>\n    <\/svg><\/span>\n      <\/a>\n        <\/div>\n            <\/div>\n<\/div><h2 class=\"wp-block-heading\" id=\"h-faqs\">FAQ<\/h2><div class=\"accordion-block accordion-block--light\">\n      <div class=\"accordion-block__items\">\n              <div class=\"accordion-block__item active\">\n          \n          <h3 class=\"accordion-block__question\" id=\"h-what-is-internet-performance-monitoring-ipm\">\n            What is Internet Performance Monitoring (IPM)?            <span class=\"accordion-block__icon\">\n              <svg width=\"24\" height=\"24\" viewbox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n<path d=\"M6 9L12 15L18 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><\/path>\n<\/svg>\n            <\/span>\n          <\/h3>\n          <div class=\"accordion-block__answer active\">\n            <p><span style=\"font-weight: 400\">IPM is an outside-in approach to monitoring that shows what happens between your infrastructure and your users across the Internet paths, providers, and dependencies your services rely on but do not control. It complements traditional observability by adding evidence from the full delivery chain, so teams can see whether issues start in their own stack, with a dependency, or somewhere in the Internet itself.<\/span><\/p>\n                      <\/div>\n        <\/div>\n              <div class=\"accordion-block__item\">\n          \n          <h3 class=\"accordion-block__question\" id=\"h-how-is-ipm-different-from-apm-or-traditional-infrastructure-monitoring\">\n            How is IPM different from APM or traditional infrastructure monitoring?            <span class=\"accordion-block__icon\">\n              <svg width=\"24\" height=\"24\" viewbox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n<path d=\"M6 9L12 15L18 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><\/path>\n<\/svg>\n            <\/span>\n          <\/h3>\n          <div class=\"accordion-block__answer\">\n            <p><span style=\"font-weight: 400\">Infrastructure and APM tools focus on what happens inside your systems, such as servers, services, and application code. IPM focuses on reachability and experience across the Internet stack&mdash;DNS, BGP, CDNs, ISPs, last-mile networks, and edge locations&mdash;so you can tell whether users in specific regions or networks can actually reach a service even when internal dashboards look healthy.<\/span><\/p>\n                      <\/div>\n        <\/div>\n              <div class=\"accordion-block__item\">\n          \n          <h3 class=\"accordion-block__question\" id=\"h-why-does-reachability-matter-if-my-services-are-already-highly-available\">\n            Why does &ldquo;reachability&rdquo; matter if my services are already highly available?            <span class=\"accordion-block__icon\">\n              <svg width=\"24\" height=\"24\" viewbox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n<path d=\"M6 9L12 15L18 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><\/path>\n<\/svg>\n            <\/span>\n          <\/h3>\n          <div class=\"accordion-block__answer\">\n            <p><span style=\"font-weight: 400\">Availability tells you whether a system responds; reachability tells you whether users can access that system over the networks they use in real life. Teams often see incidents where everything is &ldquo;green&rdquo; internally while users in one geography or ISP see timeouts or failures, and IPM closes that gap by revealing where along the Internet path things are breaking.<\/span><\/p>\n                      <\/div>\n        <\/div>\n              <div class=\"accordion-block__item\">\n          \n          <h3 class=\"accordion-block__question\" id=\"h-where-does-catchpoint-monitor-from-and-why-does-that-matter\">\n            Where does Catchpoint monitor from, and why does that matter?            <span class=\"accordion-block__icon\">\n              <svg width=\"24\" height=\"24\" viewbox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n<path d=\"M6 9L12 15L18 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><\/path>\n<\/svg>\n            <\/span>\n          <\/h3>\n          <div class=\"accordion-block__answer\">\n            <p><span style=\"font-weight: 400\">Catchpoint&rsquo;s global agent network runs active tests from backbone ISPs, wireless carriers, last-mile networks, and edge locations that are decoupled from your hosting providers. That independence means your visibility does not disappear during a cloud or provider outage, and you can quickly see whether problems are upstream, downstream, or inside your own environment.<\/span><\/p>\n                      <\/div>\n        <\/div>\n              <div class=\"accordion-block__item\">\n          \n          <h3 class=\"accordion-block__question\" id=\"h-how-does-ipm-support-autonomous-it-with-logicmonitor\">\n            How does IPM support Autonomous IT with LogicMonitor?            <span class=\"accordion-block__icon\">\n              <svg width=\"24\" height=\"24\" viewbox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n<path d=\"M6 9L12 15L18 9\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><\/path>\n<\/svg>\n            <\/span>\n          <\/h3>\n          <div class=\"accordion-block__answer\">\n            <p><span style=\"font-weight: 400\">Within the LogicMonitor platform, IPM data feeds the Autonomous IT closed loop by adding real-world Internet performance and digital experience evidence into detection, diagnosis, decision-making, and verification. LM Envision provides internal telemetry, Catchpoint extends visibility to user experience and Internet performance, and Edwin AI uses that combined context to guide governed action during incidents.<\/span><\/p>\n                      <\/div>\n        <\/div>\n          <\/div>\n  <\/div>","protected":false},"excerpt":{"rendered":"<p>D\u00e9couvrez comment Catchpoint \u00e9tend la visibilit\u00e9 de LogicMonitor sur l'exp\u00e9rience num\u00e9rique, les d\u00e9pendances externes et les performances Internet pour l'informatique autonome.<\/p>","protected":false},"author":16,"featured_media":612530,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"unicorn_plugin_options_block_body_class":"","footnotes":""},"categories":[5035],"tags":[7753,5331,7811,5346,5683,7777,7752,7018,7084,7794],"industry":[6790],"language":[7],"role":[6786],"lm_search_queries":[],"lm_strategic_tags":[],"topic":[6774],"class_list":["post-612528","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","industry-all","language-english","role-itops","topic-digital-experience"],"acf":{"is_global_bar_disabled":false,"is_global_bar_overriden":false,"is_search_excluded":false,"page_language":"english","translated_pages":"","reviewers":false,"is_global_form_disabled":false,"is_global_form_override":false,"component_layouts":false,"related_resources":false,"updated_date":"","author_section_checkbox":false,"reviewer_name":""},"yoast_head":"<!-- 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autonome commence maintenant : Rencontrez LogicMonitor au AWS Summit de New York"},"content":{"rendered":"<?xml encoding=\"UTF-8\"><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50 rtc-text-content--no-top-pad\">\n      <span class=\"head-icon\"><svg class=\"\" width=\"50px\" height=\"50px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-light-book-open\"><\/use>\n    <\/svg><\/span>\n  \n  <div class=\"rtc-text-content__wrapper\">\n          <h4 class=\"rtc-text-content__headline fs-sm-text-display-xs fs-md-text-display-sm fs-lg-text-display-md font-medium text-core-blue-900\">\n        Le t\u00e9l\u00e9chargement rapide :      <\/h4>\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900 headline-is-quote\">\n        <p><span style=\"font-weight: 400\">LogicMonitor will be at AWS Summit New York to show how teams can connect AWS monitoring, digital experience data, and AI-guided operations before performance issues reach customers.<\/span><\/p>\n      <\/div>\n    \n                  <ul class=\"rtc-text-content__bullet-list\">\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p><span style=\"font-weight: 400\">LogicMonitor runs on AWS and has first-hand migration experience from moving its own data centers to AWS.<\/span><\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p><span style=\"font-weight: 400\">LM Envision gives teams visibility across AWS services, hybrid infrastructure, VMware environments, Kubernetes, networks, storage, applications, and business services.<\/span><\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p><span style=\"font-weight: 400\">Edwin AI brings together telemetry, topology, event context, and service impact to help teams understand what changed, what&rsquo;s affected, and what to do next.<\/span><\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p><span style=\"font-weight: 400\">Catchpoint adds outside-in visibility across digital experience, Internet performance, application journeys, DNS, API, CDN, ISP, SaaS, and external dependencies.<\/span><\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p><span style=\"font-weight: 400\">At AWS Summit New York, LogicMonitor will focus on AWS migration, AI and high-performance workloads, operational noise reduction, and digital experience visibility.<\/span><\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                  <\/ul>\n      \n      \n            <\/div>\n<\/div><p>AI is changing how teams build, deploy, and support digital services. It&rsquo;s also putting more pressure on the systems behind those services: compute, storage, networks, Kubernetes clusters, Internet paths, third-party dependencies, and hybrid infrastructure.<\/p><p>For many enterprises, more of that system now runs on AWS. At AWS Summit New York, LogicMonitor will show how teams can connect AWS monitoring, digital experience data, and AI-guided operations before performance issues reach customers.<\/p><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50\">\n  \n  <div class=\"rtc-text-content__wrapper\">\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900\">\n        <p><span style=\"font-weight: 400\">Meet LogicMonitor at AWS Summit New York and see how Autonomous IT connects AWS, hybrid infrastructure, digital experience, and Internet performance.<\/span><\/p>\n      <\/div>\n    \n          \n      \n              <div>\n            <a href=\"https:\/\/www.logicmonitor.com\/fr\/aws\" class=\"btn btn-link\" target=\"_self\">\n        Schedule a meeting          <span class=\"icon-end\"><svg class=\"\" width=\"20px\" height=\"20px\" style=\"fill: #060F4B\">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-arrow-right\"><\/use>\n    <\/svg><\/span>\n      <\/a>\n        <\/div>\n            <\/div>\n<\/div><h2 class=\"wp-block-heading\" id=\"h-aws-modernization-needs-a-new-operating-model\">AWS Modernization Needs a New Operating Model<\/h2><p>AWS gives enterprises the scale and flexibility to modernize quickly. Teams are migrating VMware workloads, expanding cloud-native services, building on Kubernetes, experimenting with generative AI, and using AWS services like Amazon Bedrock and SageMaker to move faster.<\/p><p>EC2 instances launch and terminate. Kubernetes clusters scale. Applications depend on services inside and outside AWS. AI workloads add new performance and cost variables. A single customer-facing experience may rely on cloud infrastructure, data center systems, external APIs, DNS, CDN performance, Internet routing, and SaaS services.<\/p><p>Dashboards alone can&rsquo;t connect those signals fast enough during an incident. Teams need to know which service changed, which users are affected, and whether the issue sits inside AWS, outside AWS, or somewhere between systems.<\/p><h2 class=\"wp-block-heading\" id=\"h-logicmonitor-and-aws-a-partnership-built-for-hybrid-transformation\">LogicMonitor and AWS: A Partnership Built for Hybrid Transformation<\/h2><p>LogicMonitor runs on AWS and has migrated from its own data centers to AWS, giving the team first-hand experience with cloud transformation. That experience shapes how we help customers plan migrations, reduce risk, validate performance, and operate after workloads move.<\/p><p>For AWS customers, LogicMonitor provides visibility across cloud and hybrid environments, including AWS services, on-premises infrastructure, VMware environments, Kubernetes, networks, storage, applications, and business services.<\/p><p>LogicMonitor is also available in AWS Marketplace, giving customers a streamlined way to buy through AWS. For organizations with AWS committed spend, Private Offers can simplify purchasing while supporting broader modernization work.<\/p><h2 class=\"wp-block-heading\" id=\"h-edwin-ai-turns-signals-into-next-steps\">Edwin AI Turns Signals into Next Steps<\/h2><p>Edwin AI is LogicMonitor&rsquo;s AI agent for IT operations. It brings together telemetry, topology, event context, and service impact so teams can understand what changed, what&rsquo;s affected, and what to do next.<\/p><p>In AWS environments, that context can change by the minute as instances launch, containers scale, dependencies shift, and customer-facing services move across cloud and hybrid systems. Metrics, logs, traces, events, configuration changes, and performance data all move too fast for manual correlation.<\/p><p>Edwin AI reduces that work by adapting thresholds, correlating events, surfacing context-rich alerts, accelerating root cause analysis, summarizing incidents, and recommending next actions. Teams get clearer priorities during incidents and a practical path to governed automation where it makes sense.<\/p><h2 class=\"wp-block-heading\" id=\"h-no-blind-spots-means-seeing-aws-from-the-inside-out-and-outside-in\">No Blind Spots Means Seeing AWS From the Inside Out and Outside In<\/h2><p>Most AWS monitoring conversations start inside the cloud. Teams need visibility into services like EC2, S3, RDS, EKS, ECS, Lambda, VPC, load balancing, Bedrock, and SageMaker.<\/p><p>But customers don&rsquo;t experience infrastructure from the inside.<\/p><p>They experience applications from the outside. They feel slow page loads, failed transactions, broken journeys, regional latency, third-party outages, and Internet performance issues. They don&rsquo;t care whether the root cause lives in AWS, a data center, a DNS provider, a CDN, an API dependency, or somewhere between systems.<\/p><p>That&rsquo;s where Catchpoint adds critical outside-in visibility. It extends LogicMonitor&rsquo;s view beyond internal systems into digital experience, application journeys, web performance, DNS, API, CDN, ISP, SaaS, external dependencies, and Internet performance. Teams can validate whether services are reachable, responsive, and performing the way users expect.<\/p><p>With internal AWS telemetry and outside-in experience data in the same operating picture, teams can answer sharper incident questions:<\/p><ul class=\"wp-block-list\">\n<li>Is the issue inside AWS, outside AWS, or somewhere between systems?<\/li>\n\n\n\n<li>&nbsp;Which users, regions, services, or application journeys are affected?<\/li>\n\n\n\n<li>&nbsp;Is this a service issue, an Internet issue, an external dependency issue, or a hybrid infrastructure issue?<\/li>\n\n\n\n<li>&nbsp;What should the team prioritize first?<\/li>\n\n\n\n<li>&nbsp;How do we verify that the experience has recovered?<\/li>\n<\/ul><h2 class=\"wp-block-heading\" id=\"h-modernization-doesnt-end-when-workloads-move\">Modernization Doesn&rsquo;t End When Workloads Move<\/h2><p>A migration isn&rsquo;t finished when the workload moves. Teams still need to validate performance, monitor dependencies, control costs, and make sure users aren&rsquo;t affected.<\/p><p>AI initiatives create a similar operational burden. Once a model is deployed, teams still need to monitor the infrastructure supporting it, including compute, storage, networking, Kubernetes, AWS AI services, application dependencies, and user experience.<\/p><p>LogicMonitor helps teams automatically discover AWS resources and maintain visibility as environments change. For organizations migrating from VMware, modernizing data centers, or running across AWS and traditional infrastructure, that continuity reduces the risk of losing context mid-transition.<\/p><h2 class=\"wp-block-heading\" id=\"h-what-to-expect-from-logicmonitor-at-aws-summit-new-york\"><br>What to Expect From LogicMonitor at AWS Summit New York<\/h2><p>We&rsquo;ll be talking with AWS Summit attendees about:<\/p><h3 class=\"wp-block-heading\" id=\"h-aws-migration-and-modernization\">AWS Migration and Modernization<\/h3><p>How to discover dependencies, monitor source and destination environments side by side, and validate performance before, during, and after migration.<\/p><h3 class=\"wp-block-heading\" id=\"h-ai-and-high-performance-workloads\">AI and High-Performance Workloads<\/h3><p>How to monitor Bedrock, SageMaker, EKS, EC2 GPU instances, compute utilization, storage, network performance, and the hybrid systems behind AI applications.<\/p><h3 class=\"wp-block-heading\" id=\"h-edwin-ai\">Edwin AI<\/h3><p>How AI-guided correlation, anomaly detection, dynamic thresholds, incident summaries, and recommended next actions reduce manual triage.<\/p><h3 class=\"wp-block-heading\" id=\"h-catchpoint\">Point de rattrapage<\/h3><p>How outside-in visibility across user experience, DNS, API, CDN, ISP, SaaS, and Internet health validates whether services are working for customers.<\/p><h2 class=\"wp-block-heading\" id=\"h-get-clearer-answers-during-aws-incidents\">Get Clearer Answers During AWS Incidents<\/h2><p>Most IT teams aren&rsquo;t asking for another dashboard. They need to know what changed, what&rsquo;s at risk, which users are affected, and what action to take next.<\/p><p>At AWS Summit New York, let&rsquo;s talk about where AWS visibility, digital experience monitoring, and AI-guided operations can reduce risk in your environment.<\/p><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50\">\n      <span class=\"head-icon\"><svg class=\"\" width=\"50px\" height=\"50px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-light-calendar-check\"><\/use>\n    <\/svg><\/span>\n  \n  <div class=\"rtc-text-content__wrapper\">\n          <h4 class=\"rtc-text-content__headline fs-sm-text-display-xxs fs-md-text-display-xs fs-lg-text-display-sm font-medium text-core-blue-900\">\n        Meet LogicMonitor at AWS Summit New York      <\/h4>\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900\">\n        <p><span style=\"font-weight: 400\">See how LogicMonitor helps AWS customers connect cloud visibility, digital experience monitoring, and AI-guided operations with LM Envision, Catchpoint, and Edwin AI.<\/span><\/p>\n      <\/div>\n    \n          \n      \n              <div>\n            <a href=\"https:\/\/www.logicmonitor.com\/fr\/aws\" class=\"btn btn-link\" target=\"_self\">\n        En savoir plus          <span class=\"icon-end\"><svg class=\"\" width=\"20px\" height=\"20px\" style=\"fill: #060F4B\">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-arrow-right\"><\/use>\n    <\/svg><\/span>\n      <\/a>\n        <\/div>\n            <\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>D\u00e9couvrez comment LogicMonitor apporte l'IT autonome au AWS avec Edwin AI, Catchpoint, et une visibilit\u00e9 unifi\u00e9e sur les syst\u00e8mes hybrides.<\/p>","protected":false},"author":16,"featured_media":612524,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"unicorn_plugin_options_block_body_class":"","footnotes":""},"categories":[5035],"tags":[5339,7758,5408,7850,5814,7777,7813,6264,6311,7752],"industry":[6790],"language":[7],"role":[6784],"lm_search_queries":[],"lm_strategic_tags":[],"topic":[6770],"class_list":["post-612522","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","industry-all","language-english","role-cloudops","topic-cloud"],"acf":{"is_global_bar_disabled":false,"is_global_bar_overriden":false,"is_search_excluded":false,"page_language":"english","translated_pages":"","reviewers":false,"is_global_form_disabled":false,"is_global_form_override":false,"component_layouts":false,"related_resources":false,"updated_date":"","author_section_checkbox":false,"reviewer_name":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.9 (Yoast SEO v26.9) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Autonomous IT Starts Now: Meet LogicMonitor at AWS Summit New York | LogicMonitor<\/title>\n<meta name=\"description\" content=\"LogicMonitor\u2019s AWS Summit New York presence highlights Autonomous IT, Edwin AI-first observability, and Catchpoint-powered visibility across AWS, hybrid infrastructure, and digital experience.\" \/>\n<meta name=\"robots\" content=\"noindex, nofollow\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Autonomous IT Starts Now: Meet LogicMonitor at AWS Summit New York\" \/>\n<meta property=\"og:description\" content=\"LogicMonitor\u2019s AWS Summit New York presence highlights Autonomous IT, Edwin AI-first observability, and Catchpoint-powered visibility across AWS, hybrid infrastructure, and digital experience.\" 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qu'une \u00e9tude TEI de Forrester sur Edwin AI dit r\u00e9ellement aux responsables informatiques \u2014 et comment l'utiliser"},"content":{"rendered":"<?xml encoding=\"UTF-8\"><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50 rtc-text-content--no-top-pad\">\n      <span class=\"head-icon\"><svg class=\"\" width=\"50px\" height=\"50px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-light-book-open\"><\/use>\n    <\/svg><\/span>\n  \n  <div class=\"rtc-text-content__wrapper\">\n          <h4 class=\"rtc-text-content__headline fs-sm-text-display-xs fs-md-text-display-sm fs-lg-text-display-md font-medium text-core-blue-900\">\n        Le t\u00e9l\u00e9chargement rapide :      <\/h4>\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900 headline-is-quote\">\n        <p>This blog helps IT leaders use the Forrester Consulting TEI&trade; study as a practical framework for evaluating Edwin AI in their own environments.<\/p>\n      <\/div>\n    \n                  <ul class=\"rtc-text-content__bullet-list\">\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p>Use the TEI study to glean the detail behind the 313% ROI headline and understand where the modeled value came from<\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p>Compare the study&rsquo;s assumptions against your own incident workflow, including alert noise, RCA effort, escalations, downtime, SLA exposure, and engineering capacity.<\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p>Bring the study into budget and planning conversations as a structured way to connect incident response improvements to business impact.<\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                  <\/ul>\n      \n      \n            <\/div>\n<\/div><p>A Total Economic Impact&trade; study is useful for one, critical reason: it takes a broad technology claim and turns it into a financial and operational framework.<\/p><p>That matters in AI for IT operations because the market is crowded with claims. Every platform says it reduces noise. Every platform says it improves efficiency. Every platform says it helps teams move faster. What IT leaders need is a clearer way to separate vague value from actual impact.<\/p><p>That is why the commissioned Forrester Consulting study, <em>The Total Economic Impact&trade; Of LogicMonitor&rsquo;s Edwin AI<\/em>, deserves a closer read.<\/p><p>LogicMonitor commissioned Forrester Consulting to conduct a Total Economic Impact&trade; study to examine the potential return on investment enterprises may realize by deploying Edwin AI. Forrester interviewed seven decision-makers at five organizations using Edwin AI, then aggregated those findings into a composite organization to model costs, benefits, flexibility, and risk over three years. The composite organization represents a multinational enterprise with $2.5 billion in annual revenue, 5,000 employees, and business-critical applications running across hybrid cloud and on-premises infrastructure.<\/p><p>For that composite organization, the study found that Edwin AI delivered:<\/p><ul class=\"wp-block-list\">\n<li>313% Retour sur investissement<\/li>\n\n\n\n<li>$2.7 million net present value<\/li>\n\n\n\n<li>Payback in less than six months<\/li>\n\n\n\n<li>$3.6 million in three-year risk-adjusted present value benefits<\/li>\n<\/ul><p>Those numbers matter. They help quantify the business case. But the more useful question for IT leaders is not just what the modeled return was. It is where that return came from, and what it says about the way modern incident operations need to change.<\/p><h2 class=\"wp-block-heading\" id=\"h-this-study-is-not-just-about-roi\">This study is not just about ROI<\/h2><p>The headline ROI matters. It gets attention. It helps justify investment. But the real value of a TEI study <strong>is that it shows where the economic impact comes from.<\/strong><\/p><p>In this case, the benefits are far from abstract. They are tied to the operational failure points most teams already know too well:<\/p><ul class=\"wp-block-list\">\n<li>Too many alerts<\/li>\n\n\n\n<li>Too much manual triage<\/li>\n\n\n\n<li>Too much time spent correlating signals across fragmented tools<\/li>\n\n\n\n<li>Too many escalations<\/li>\n\n\n\n<li>Too much downtime risk<\/li>\n\n\n\n<li>Too much senior engineering time spent on work that should not require senior engineers<\/li>\n<\/ul><p>This study gives IT and operations leaders a concrete way to think about what AI should be doing in production environments, not generating more dashboards, but removing friction from incident workflows.<\/p><h2 class=\"wp-block-heading\" id=\"h-what-the-findings-suggest-about-modern-it-operations\">What the findings suggest about modern IT operations<\/h2><p>The strongest signal in the report is not that Edwin AI is &ldquo;faster&rdquo; or &ldquo;smarter.&rdquo; It is that the traditional operating model has become too manual to scale.<\/p><p>The gains start early, then build over time. In the study, the composite organization achieved a 75% reduction in alert noise and a 60% reduction in time spent on root cause analysis (RCA) in Year 1, improving to 90% and 70% by Year 3. It also reduced mean time to resolve customer-facing P1 and P2 incidents by 40% in Year 1 and cut SLA-breaching P1\/P2 incidents by 30%, with both measures improving further by Year 3.<\/p><p>Taken together, those findings show how improvements in one part of the incident lifecycle can strengthen the next.<\/p><p>Noise reduction by itself helps, but only to a point. Faster RCA by itself helps, but only after the incident has already become serious. The real operational change happens when these capabilities stack:<\/p><ul class=\"wp-block-list\">\n<li>Fewer irrelevant alerts reach engineers<\/li>\n\n\n\n<li>Related signals are grouped earlier<\/li>\n\n\n\n<li>Context is surfaced sooner<\/li>\n\n\n\n<li>Teams spend less time guessing<\/li>\n\n\n\n<li>Incidents get resolved faster<\/li>\n\n\n\n<li>Fewer customer-facing events turn into larger business problems<\/li>\n<\/ul><p>That is what IT leaders should take from this study. The benefit is a different operating model for incident response.<\/p><h2 class=\"wp-block-heading\" id=\"h-incident-work-has-outgrown-manual-correlation\">Incident work has outgrown manual correlation<\/h2><p>Most operations teams are managing environments that were not designed for today&rsquo;s level of dependency and change. Hybrid infrastructure, cloud services, distributed applications, and fragmented tools have increased the number of signals teams need to interpret during an incident. The work has become more interconnected, while the response process often still depends on manual correlation.<\/p><p>That creates a familiar pattern: teams spend too much time sorting the conditions around an incident before they can address the issue itself.<\/p><p>In the study, interviewees described this problem in direct terms. One chief customer service officer in IT services said, &ldquo;The number of alerts was simply too high. On a daily basis, we were averaging more than 10,000 alerts, which made it impossible to proactively manage alerts and incidents.&rdquo;<\/p><p>A platform owner in IT services described the same issue at the tooling level: &ldquo;We had too many systems and platforms in place, and the tooling was fragmented. Without a single, standardized platform, it was difficult to connect signals across environments and respond efficiently.&rdquo;<\/p><p>That is the practical problem Edwin AI is meant to address. AI only matters here if it helps teams make signal usable sooner: fewer duplicate alerts, clearer incident context, faster root cause analysis, and less time spent moving between disconnected systems.<\/p><h2 class=\"wp-block-heading\" id=\"h-how-to-use-this-tei-study\">How to use this TEI study<\/h2><p>A TEI study is most useful when you use it to evaluate your own operating model. The headline financial metrics matter, but the better read is in the assumptions, benefit categories, and workflow changes behind them.<\/p><h3 class=\"wp-block-heading\" id=\"h-1-compare-the-study-to-your-current-incident-workflow\">1. Compare the study to your current incident workflow<\/h3><p>Start with the conditions the TEI study models:<\/p><ul class=\"wp-block-list\">\n<li>alert fatigue<\/li>\n\n\n\n<li>duplicate incidents<\/li>\n\n\n\n<li>slow triage<\/li>\n\n\n\n<li>prolonged root cause analysis<\/li>\n\n\n\n<li>avoidable downtime<\/li>\n\n\n\n<li>SLA exposure<\/li>\n\n\n\n<li>skilled engineers spending time on repetitive incident work<\/li>\n<\/ul><p>If those conditions sound familiar, the study gives you a practical way to assess where your current incident process may be costing more than it should. The point is to connect the financial model to the work your teams already perform every day.<\/p><h3 class=\"wp-block-heading\" id=\"h-2-bring-the-right-stakeholders-into-the-conversation\">2. Bring the right stakeholders into the conversation<\/h3><p>The value of Edwin AI will look different depending on who is evaluating it.<\/p><p>Operations leaders may focus on alert volume, triage effort, MTTR, and incident throughput. Engineering leaders may focus on how much expert time is spent on repetitive investigation and escalation work. Service owners may focus on uptime, SLA performance, and customer-facing impact. Finance leaders may focus on cost avoidance, payback period, and the relationship between benefits and total investment.<\/p><h3 class=\"wp-block-heading\" id=\"h-3-use-the-model-as-a-benchmark\">3. Use the model as a benchmark<\/h3><p>The study is based on a composite organization, so the results should be read as a model rather than a forecast for every company. Use it to pressure-test your own assumptions:<\/p><ul class=\"wp-block-list\">\n<li>Is your alert volume higher or lower?<\/li>\n\n\n\n<li>How much of your triage process is still manual?<\/li>\n\n\n\n<li>How often do P1 and P2 incidents affect customer-facing services?<\/li>\n\n\n\n<li>What does downtime cost your business?<\/li>\n\n\n\n<li>How material are SLA penalties or service credits?<\/li>\n\n\n\n<li>How much L2 and L3 time goes into root cause analysis?<\/li>\n\n\n\n<li>How much effort goes into maintaining alerting rules, routing logic, and event-management workflows?<\/li>\n<\/ul><p>The value of the report is in helping you ask more precise questions before building a business case.<\/p><h3 class=\"wp-block-heading\" id=\"h-4-identify-the-first-workflow-worth-improving\">4. Identify the first workflow worth improving<\/h3><p>The best starting point is usually the workflow where manual effort is measurable and tied to business impact.<\/p><p>A better approach is to start where the cost of operational friction is highest:<\/p><ul class=\"wp-block-list\">\n<li>alert correlation<\/li>\n\n\n\n<li>incident enrichment<\/li>\n\n\n\n<li>root cause acceleration<\/li>\n\n\n\n<li>customer-facing outage response<\/li>\n\n\n\n<li>repetitive triage workflows<\/li>\n<\/ul><p>A useful first use case should have a clear baseline, repeatable workflow, and outcome that matters beyond one team. Alert noise is often a strong entry point because it affects triage, escalation, root cause analysis, and engineering capacity at the same time.<\/p><h2 class=\"wp-block-heading\" id=\"h-what-customer-validation-adds-to-the-study\">What customer validation adds to the study<\/h2><p>The TEI study gives readers a financial model. The customer validation alongside helps explain why the benefit categories matter in the first place.<\/p><p>The numbers in the study are organized around measurable outcomes: reduced alert noise, faster root cause analysis, lower MTTR, fewer SLA-breaching incidents, and less time spent managing prior event-management workflows. That structure is useful for a business case, but it can make the work sound cleaner than it feels inside an operations team.<\/p><p>The customer interviews add that missing layer. They show how those categories overlap during an actual incident.<\/p><p>One network manager in IT services described the problem this way: &ldquo;The main callout from customers was around SLAs. We had a lot of breaches and a lot of tickets that were false positives. We were focusing on issues that weren&rsquo;t critical instead of prioritizing based on impact, and we didn&rsquo;t have clear dependency mapping between devices, which made it difficult to address the most impactful problems first.&rdquo;<\/p><p>That quote connects several parts of the business case at once: false positives increase triage effort, poor dependency mapping slows prioritization, slow prioritization increases SLA exposure, and SLA exposure turns an operations problem into a financial one.<\/p><p>A global head of IT networks in agriculture made a related point from the other side of the workflow: &ldquo;We know about problems quicker, we get to the root cause faster, and we&rsquo;re not being bombarded with noise like a site issue triggering 50 device alerts. Edwin AI does that correlation work for us and tells us roughly where the issue is, and most of the time that&rsquo;s exactly where it is.&rdquo;<\/p><p>Alert correlation is not only a queue-management improvement. It changes the quality of the investigation that follows. When related signals are grouped earlier, the team starts closer to the likely cause, and senior engineers spend less time reconstructing the incident from scattered evidence.<\/p><p>These interviews are useful because they make the study easier to apply. The question is where your team sees the same pattern: high alert volume, weak signal quality, unclear dependencies, repeated escalation, slow RCA, or service risk that grows because teams cannot identify impact quickly enough.<\/p><h2 class=\"wp-block-heading\" id=\"h-read-the-study-with-your-own-environment-in-mind\">Read the study with your own environment in mind<\/h2><p>Use the study to examine where incident response is costing your team time, budget, and focus.<\/p><p>Start with the parts of the workflow that are easiest to inspect.&nbsp;<\/p><ul class=\"wp-block-list\">\n<li>Where does alert noise still create measurable waste?&nbsp;<\/li>\n\n\n\n<li>Which incidents still require engineers to correlate signals across tools by hand?&nbsp;<\/li>\n\n\n\n<li>Where are senior engineers getting pulled into work that could be handled earlier in the process?&nbsp;<\/li>\n\n\n\n<li>What do customer-facing outages, SLA misses, or delayed escalations cost the business?&nbsp;<\/li>\n\n\n\n<li>Which workflow would show value fastest if the manual effort around it were reduced?<\/li>\n<\/ul><p>Those questions make the study more useful. They turn the model into a way to evaluate your own operating constraints, instead of treating it as a generic proof point.<\/p><p>This study gives IT leaders a disciplined way to assess the potential financial impact of Edwin AI. The broader takeaway is more practical: modern operations teams need more than visibility. They need incident workflows that reduce noise, preserve attention, shorten investigation, and help teams act with better context.<\/p><p>That is where the business case starts.<\/p><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50\">\n      <span class=\"head-icon\"><svg class=\"\" width=\"50px\" height=\"50px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-light-calendar-check\"><\/use>\n    <\/svg><\/span>\n  \n  <div class=\"rtc-text-content__wrapper\">\n          <h4 class=\"rtc-text-content__headline fs-sm-text-display-xxs fs-md-text-display-xs fs-lg-text-display-sm font-medium text-core-blue-900\">\n        Read the Forrester Consulting Total Economic Impact&trade; study to see the full methodology, assumptions, cost model, and benefit breakdown for LogicMonitor Edwin AI.      <\/h4>\n    \n    \n          \n      \n              <div>\n            <a href=\"https:\/\/www.logicmonitor.com\/resources\/logicmonitor-edwin-ai-total-economic-impact-study-by-forrester\" class=\"btn btn-link\" target=\"_self\">\n        Get the study          <span class=\"icon-end\"><svg class=\"\" width=\"20px\" height=\"20px\" style=\"fill: #060F4B\">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-arrow-right\"><\/use>\n    <\/svg><\/span>\n      <\/a>\n        <\/div>\n            <\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Une \u00e9tude TEI\u2122 command\u00e9e par Forrester Consulting donne aux responsables informatiques un cadre financier pour \u00e9valuer l'impact d'Edwin AI sur le bruit d'alerte, la cause racine (RCA), le MTTR, le risque de SLA et l'efficacit\u00e9 op\u00e9rationnelle.<\/p>","protected":false},"author":46,"featured_media":609874,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"unicorn_plugin_options_block_body_class":"","footnotes":""},"categories":[1],"tags":[],"industry":[6790],"language":[7],"role":[],"lm_search_queries":[],"lm_strategic_tags":[],"topic":[],"class_list":["post-612432","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","industry-all","language-english"],"acf":{"page_language":"english","translated_pages":"","reviewers":false,"is_global_bar_disabled":false,"is_global_bar_overriden":false,"is_search_excluded":false,"is_global_form_disabled":false,"is_global_form_override":false,"component_layouts":false,"updated_date":"","author_section_checkbox":true,"author_image":"https:\/\/www.logicmonitor.com\/wp-content\/uploads\/2025\/02\/margo-2-1.jpeg","author_linkedin":"https:\/\/www.linkedin.com\/in\/mspoda\/","author_name":"Margo Poda","author_job_title":"Sr. Content Marketing Manager, AI","author_dept":"Edwin AI","author_bio":"Margo Poda leads content strategy for Edwin AI at LogicMonitor. With a background in both enterprise tech and AI startups, she focuses on making complex topics clear, relevant, and worth reading\u2014especially in a space where too much content sounds the same. She\u2019s not here to hype AI; she\u2019s here to help people understand what it can actually do.","reviewer_name":"","related_resources":false},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.9 (Yoast SEO v26.9) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>What a Forrester TEI study on Edwin AI actually tells IT leaders\u2014and how to use it | LogicMonitor<\/title>\n<meta name=\"description\" content=\"A commissioned Forrester Consulting TEI\u2122 study gives IT leaders a financial framework for evaluating Edwin AI\u2019s impact on alert noise, RCA, MTTR, SLA risk, and operational efficiency.\" \/>\n<meta name=\"robots\" content=\"noindex, nofollow\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What a Forrester TEI study on Edwin AI actually tells IT leaders\u2014and how to use it\" \/>\n<meta property=\"og:description\" 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la vision \u00e0 l'action : Op\u00e9rationnalisation de Logicmonitor + Catchpoint pour une observabilit\u00e9 unifi\u00e9e"},"content":{"rendered":"<?xml encoding=\"UTF-8\"><section id=\"\" class=\"section bg-white theme-light    section-bg-dark\">\n        <div class=\"section-content container\">\n    <div class=\"full-width-media-wrapper\">\n<div class=\"media-assets-block\">\n    <div class=\"media-container object-center-center aspect-auto type-wistia_embed\" style=\"max-width: 100svh; \">\n\n          <div class=\"wistia_embed\">\n        <div class=\"\">\n          <p><script src=\"https:\/\/fast.wistia.com\/embed\/medias\/ogpqinu8f0.jsonp\" async><\/script><br>\n<script src=\"https:\/\/fast.wistia.com\/assets\/external\/E-v1.js\" async><\/script><\/p>\n<div class=\"wistia_responsive_padding\" style=\"padding: 56.25% 0 0 0; position: relative;\">\n<div class=\"wistia_responsive_wrapper\" style=\"height: 100%; left: 0; position: absolute; top: 0; width: 100%;\">\n<div class=\"wistia_embed wistia_async_ogpqinu8f0 videoFoam=true\" style=\"height: 100%; position: relative; width: 100%;\">\n<div class=\"wistia_swatch\" style=\"height: 100%; left: 0; opacity: 0; overflow: hidden; position: absolute; top: 0; transition: opacity 200ms; width: 100%;\"><img decoding=\"async\" style=\"filter: blur(5px); height: 100%; object-fit: contain; width: 100%;\" src=\"https:\/\/fast.wistia.com\/embed\/medias\/ogpqinu8f0\/swatch\" alt=\"\" aria-hidden=\"true\"><\/div>\n<\/div>\n<\/div>\n<\/div>\n        <\/div>\n      <\/div>\n      <\/div>\n  <\/div>\n<\/div><\/div><\/section><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50\">\n      <span class=\"head-icon\"><svg class=\"\" width=\"50px\" height=\"50px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-light-book-open\"><\/use>\n    <\/svg><\/span>\n  \n  <div class=\"rtc-text-content__wrapper\">\n          <h4 class=\"rtc-text-content__headline fs-sm-text-display-xs fs-md-text-display-sm fs-lg-text-display-md font-medium text-core-blue-900\">\n        Le t\u00e9l\u00e9chargement rapide :      <\/h4>\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900 headline-is-quote\">\n        <p><span style=\"font-weight: 400\">Visibility without control is just expensive awareness.<\/span><\/p>\n      <\/div>\n    \n                  <ul class=\"rtc-text-content__bullet-list\">\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p><span style=\"font-weight: 400\">Combining LogicMonitor infrastructure telemetry with Catchpoint experience data gives IT a user&#8209;to&#8209;code view that connects internal behavior to real&#8209;world user impact.<\/span><\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p><span style=\"font-weight: 400\">Edwin AI condenses noisy alerts into a single, plain&#8209;language insight by correlating VPN, DNS, and Catchpoint signals around SD&#8209;WAN and other critical services.<\/span><\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p><span style=\"font-weight: 400\">Catchpoint ISP benchmarking tracks carrier performance across DNS, TCP, and time&#8209;to&#8209;first&#8209;byte over time so you can hold third parties accountable instead of absorbing blame.<\/span><\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p><span style=\"font-weight: 400\">When your observability stack can&rsquo;t show who is affected, why, or what to do, the missing piece is connected data.<\/span><\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                  <\/ul>\n      \n      \n            <\/div>\n<\/div><p>Most IT teams can see when something&rsquo;s wrong, but can&rsquo;t easily tell who&rsquo;s affected, why, or what to do next. In other words, they lack real control. In this in&#8209;depth session, LogicMonitor&rsquo;s Callum Brown and Brandon Delap showed how to move past that. They walked through ISP benchmarking, workforce experience scoring, and Edwin AI turning a stream of noisy alerts into a single, plain&#8209;language explanation of what broke and why.<\/p><h2 class=\"wp-block-heading\" id=\"h-what-experts-discussed\">What Experts Discussed<\/h2><p>Seeing an issue and controlling the outcome are two different things<\/p><p>As Callum Brown, Senior Sales Engineer at LogicMonitor, put it in the session, full&#8209;stack visibility is what lets teams move from just spotting issues to preventing negative user experience.Detection tells you something happened. Control tells you what it means for the business, who is affected, and what action to take. The webinar positioned the <a href=\"https:\/\/www.logicmonitor.com\/blog\/autonomous-operations-without-blind-spots\">LogicMonitor and Catchpoint integration<\/a> as the bridge between those two states, with infrastructure telemetry on one side and real user experience on the other.<\/p><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50\">\n      <span class=\"head-icon\"><svg class=\"\" width=\"50px\" height=\"50px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#quote_light\"><\/use>\n    <\/svg><\/span>\n  \n  <div class=\"rtc-text-content__wrapper\">\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900 headline-is-quote\">\n        <p><span style=\"font-weight: 400\">Full-stack visibility helps us move from &lsquo;can we see an issue&rsquo; to &lsquo;can we preempt negative user experience due to an issue.&rsquo; In the modern enterprise, observability is what lets every leader hit their goals.<\/span><\/p>\n      <\/div>\n    \n          \n                                <div class=\"rtc-text-content__author\">\n                          <strong class=\"fs-text-lg font-bold text-core-blue-500\">\n                Callum Brown              <\/strong>\n                                      <span class=\"fs-text-md text-core-blue-500\">\n                Senior Sales Engineer, LogicMonitor              <\/span>\n                      <\/div>\n              \n            <\/div>\n<\/div><h3 class=\"wp-block-heading\" id=\"h-your-users-do-not-care-whose-fault-it-is\">Your users do not care whose fault it is<\/h3><p>Brandon Delap, Manager, Solutions Engineering, Catchpoint, made a point that ran through the session: customers don&rsquo;t know and don&rsquo;t care that a CDN, ISP, or carrier is outside your control. Once they try to log in, they expect it to work. That reality creates a painful accountability problem for IT teams. One of the webinar demos showed 90-day ISP benchmarking that tracked providers like Tata, Jio, and Vodafone across connectivity, DNS, TCP, and time-to-first-byte metrics, giving teams hard data to bring to conversations with carriers rather than relying on user complaints or gut feel.<\/p><h3 class=\"wp-block-heading\" id=\"h-edwin-ai-connects-signals-humans-cannot-process-at-speed\">Edwin AI connects signals humans cannot process at speed<\/h3><p>The demo continued, showing Edwin AI grouping related alerts into a single insight tied to an SD&#8209;WAN hub on the US West Coast. It then connected VPN tunnel issues, DNS problems from Catchpoint, and downstream impact on payment and shipping services, pulling in log and change data from the wider stack to explain what happened.<\/p><p>As Brandon Delap put it, Edwin &ldquo;actually tells me in plain English what went wrong at that point in time from a Catchpoint event correlated with a LogicMonitor event.&rdquo; That ability to pull infrastructure, internet, application, and change data into one explanation is where AI starts to earn its place in the operations workflow.<\/p><h3 class=\"wp-block-heading\" id=\"h-proactive-workforce-management-changes-who-files-the-ticket\">Proactive workforce management changes who files the ticket<\/h3><p>Catchpoint&rsquo;s workforce management view breaks experience into endpoint health, network quality, and application performance for each user and location, then rolls that into an overall experience score. Global and regional heat maps show where issues are starting to appear, while user&#8209;level Wi&#8209;Fi and application metrics flag whether problems stem from the device, the network, or a specific SaaS page.&nbsp;<\/p><p>Instead of waiting for &ldquo;I can&rsquo;t connect to the office on Monday morning&rdquo; tickets, operations teams can see trouble spots forming and act before employees start reporting slowness. That&rsquo;s the shift the presenters pushed for: moving from reactive troubleshooting to genuinely preemptive operations.<\/p><h3 class=\"wp-block-heading\" id=\"h-what-it-operations-leaders-should-take-from-this\">What IT operations leaders should take from this<\/h3><p><strong>Connected data matters more than more data. <\/strong>The demo showed Edwin AI reasoning across infrastructure, internet, application, and change data in a single context. If your observability investments sit in silos, adding another dashboard won&rsquo;t solve the problem. Connecting the data you already collect will.<\/p><p><strong>Third-party accountability requires third-party evidence.<\/strong> Delap&rsquo;s ISP benchmarking demo tracked specific carriers over 90 days with granular metrics. That&rsquo;s the difference between saying &ldquo;our ISP might be the problem&rdquo; and showing your provider exactly where DNS resolution degraded over several weeks. When issues stem from third parties, evidence is what holds them accountable. That&rsquo;s because, from your users&rsquo; perspective, they expect it to work regardless of who controls what.<\/p><p><strong>Let AI handle the correlation you can&rsquo;t sustain manually. <\/strong>Brown was direct about Edwin AI&rsquo;s role: &ldquo;Let AI do the heavy lifting&hellip; it definitely is doing it at a scale that humans either can&rsquo;t or don&rsquo;t really want to do.&rdquo; The value is eliminating the hours spent manually tracing an alert through multiple systems to find the root cause, so your team can act on the answer instead of hunting for it.<\/p><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50\">\n      <span class=\"head-icon\"><svg class=\"\" width=\"50px\" height=\"50px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-light-calendar-check\"><\/use>\n    <\/svg><\/span>\n  \n  <div class=\"rtc-text-content__wrapper\">\n          <h4 class=\"rtc-text-content__headline fs-sm-text-display-xxs fs-md-text-display-xs fs-lg-text-display-sm font-medium text-core-blue-900\">\n        Stop managing monitoring modules and start seeing your entire hybrid stack in one place.      <\/h4>\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900\">\n        <p><span style=\"font-weight: 400\">Watch a demo to see how a SaaS-native platform reduces administrative weight and speeds up incident response.<\/span><\/p>\n      <\/div>\n    \n          \n      \n              <div>\n            <a href=\"https:\/\/www.logicmonitor.com\/fr\/platform-demo\" class=\"btn btn-link\" target=\"_self\">\n        Watch demo          <span class=\"icon-end\"><svg class=\"\" width=\"20px\" height=\"20px\" style=\"fill: #060F4B\">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-arrow-right\"><\/use>\n    <\/svg><\/span>\n      <\/a>\n        <\/div>\n            <\/div>\n<\/div><h3 class=\"wp-block-heading\" id=\"h-recommended-reading-and-webinars\">Recommended Reading and Webinars <\/h3><ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.logicmonitor.com\/fr\/logicmonitor-catchpoint\">LogicMonitor + Catchpoint: A New Era of Self-Healing Operations<\/a>: Overview of how LogicMonitor and Catchpoint combine infrastructure intelligence with internet performance visibility to power connected digital operations.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.logicmonitor.com\/blog\/edwin-ai-catchpoint-internet-visibility-autonomous-it\">Closing the Internet Gap to Enable Autonomous IT with Edwin AI and Catchpoint<\/a>: Explores how Catchpoint&rsquo;s internet delivery path visibility, including BGP, CDN, and DNS monitoring, integrates with Edwin AI to close observability blind spots.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.logicmonitor.com\/blog\/autonomous-operations-without-blind-spots\">Autonomous IT Without Blind Spots<\/a>: Explains how the Catchpoint integration addresses the critical gap between infrastructure monitoring and end-user experience in modern observability strategies.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.logicmonitor.com\/elevate\/2025-supercharge-your-incident-response-with-edwin-ai\">Supercharge Your Incident Response with Edwin AI<\/a>: On-demand session covering how Edwin AI reduces alert noise by up to 90% through intelligent event correlation and accelerates MTTR with automated root cause analysis.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.logicmonitor.com\/blog\/logs-based-root-cause-analysis-edwin-ai\">Pourquoi l'ACR fond\u00e9e sur des preuves dans l'affaire Edwin AI commence par des registres<\/a>: Examines how Edwin AI combines log data with alert context to ground root cause analysis in real system evidence rather than plausible explanations.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.logicmonitor.com\/internet-performance-monitoring\">Internet Performance Monitoring (IPM) by Catchpoint<\/a>: Product page covering Catchpoint&rsquo;s synthetic monitoring, endpoint monitoring, and real user monitoring capabilities across the full internet stack.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.logicmonitor.com\/blog\/better-together-logicmonitor-catchpoint-self-healing-enterprise\">Mieux ensemble : Construire l'entreprise auto-cicatris\u00e9e<\/a>: Foundational post on how LogicMonitor and Catchpoint unite infrastructure intelligence, internet performance visibility, and AI-powered insight into a single operational platform.<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>La visibilit\u00e9 vous dit que quelque chose s'est cass\u00e9. Le contr\u00f4le vous dit pourquoi, qui est affect\u00e9 et quoi faire ensuite. D\u00e9couvrez comment LogicMonitor, Catchpoint et Edwin AI comblent ce foss\u00e9.<\/p>","protected":false},"author":16,"featured_media":611706,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"unicorn_plugin_options_block_body_class":"","footnotes":""},"categories":[5035],"tags":[7812,7847,5697,7845,6157,7848,7849,6872,7846],"industry":[6790],"language":[7],"role":[6786,7821],"lm_search_queries":[],"lm_strategic_tags":[],"topic":[6769,6774],"class_list":["post-611696","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","industry-all","language-english","role-itops","role-network-engineer","topic-aiops-automation","topic-digital-experience"],"acf":{"is_global_bar_disabled":false,"is_global_bar_overriden":false,"is_search_excluded":false,"page_language":"english","translated_pages":"","reviewers":false,"is_global_form_disabled":false,"is_global_form_override":false,"component_layouts":false,"related_resources":false,"updated_date":"","author_section_checkbox":false,"reviewer_name":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.9 (Yoast SEO v26.9) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>From Insight to Action: Operationalizing Logicmonitor + Catchpoint for Unified Observability | LogicMonitor<\/title>\n<meta name=\"description\" content=\"LogicMonitor and Catchpoint combine infrastructure and experience data to move IT operations from reactive detection to proactive control, with Edwin AI connecting the signals.\" \/>\n<meta name=\"robots\" content=\"noindex, nofollow\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"From Insight to Action: Operationalizing Logicmonitor + Catchpoint for Unified Observability\" \/>\n<meta property=\"og:description\" content=\"LogicMonitor and Catchpoint combine infrastructure and experience data to move IT operations from reactive detection to proactive control, with Edwin AI connecting 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votre MSP : de l'informatique r\u00e9active \u00e0 l'assurance proactive de l'exp\u00e9rience num\u00e9rique"},"content":{"rendered":"<?xml encoding=\"UTF-8\"><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50 rtc-text-content--no-top-pad\">\n      <span class=\"head-icon\"><svg class=\"\" width=\"50px\" height=\"50px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-light-book-open\"><\/use>\n    <\/svg><\/span>\n  \n  <div class=\"rtc-text-content__wrapper\">\n          <h4 class=\"rtc-text-content__headline fs-sm-text-display-xs fs-md-text-display-sm fs-lg-text-display-md font-medium text-core-blue-900\">\n        Le t\u00e9l\u00e9chargement rapide :      <\/h4>\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900 headline-is-quote\">\n        <p>Internet Performance Monitoring (IPM) is essential for MSPs to move from reactive support to proactive experience assurance.<\/p>\n      <\/div>\n    \n                  <ul class=\"rtc-text-content__bullet-list\">\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p>Internal metrics like server CPU and LAN latency don&rsquo;t show you what&rsquo;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<\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p>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&rsquo;s broken and whose problem it is<\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p>MSPs that can identify exactly where a SaaS or SASE provider is underperforming have something concrete to bring to vendor SLA conversations. That&rsquo;s a different kind of relationship than finger-pointing<\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p>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<\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                  <\/ul>\n      \n      \n            <\/div>\n<\/div><p>Green lights on your internal dashboard don&rsquo;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&rsquo;s a problem most MSPs haven&rsquo;t fully solved.<\/p><p>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.<\/p><h2 class=\"wp-block-heading\" id=\"h-what-experts-discussed\">What Experts Discussed<\/h2><h3 class=\"wp-block-heading\" id=\"h-why-the-internet-is-now-the-application-layer\">Why the internet is now the application layer<\/h3><p>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.<\/p><h3 class=\"wp-block-heading\" id=\"h-the-blind-spot-between-inside-out-and-outside-in-monitoring\">The blind spot between inside-out and outside-in monitoring<\/h3><p>Traditional observability tools are built to monitor what you control: your network, your data center, your cloud infrastructure. Dada discussed what they&rsquo;re not built to do: measure what a user in a different city, on a regional ISP, actually experiences. <a href=\"https:\/\/www.logicmonitor.com\/internet-performance-monitoring\">Surveillance des performances Internet<\/a> fills that blind spot by testing from the user&rsquo;s vantage point, not the infrastructure owner&rsquo;s.<\/p><h3 class=\"wp-block-heading\" id=\"h-mapping-the-stack-nobody-monitors\">Mapping the stack nobody monitors<\/h3><p>Gad and Dada kept returning to how much sits between a user&rsquo;s device and an application&rsquo;s code, DNS, SSL certificates, BGP routing, CDNs, and how rarely any of it gets monitored until something breaks. They walked through tools like <a href=\"https:\/\/www.catchpoint.com\/internet-stack-map\">Internet Stack Map<\/a> and AI-driven Experience Scores as ways to visualize those dependencies and pinpoint root causes without wasting time investigating systems that are working fine.<\/p><h3 class=\"wp-block-heading\" id=\"h-from-vendor-disputes-to-accountable-slas\">From vendor disputes to accountable SLAs<\/h3><p>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.<\/p><h3 class=\"wp-block-heading\" id=\"h-what-msps-should-take-from-this\">What MSPs should take from this<\/h3><p><strong>APM node coverage is narrower than most teams assume. <\/strong>Dada pointed out that traditional APM tools typically test from nodes inside major cloud hyperscalers, which doesn&rsquo;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.<\/p><p><strong>One failing script can take down an entire site. <\/strong>The average enterprise website depends on dozens of external services, image delivery, tag managers, analytics. Dada&rsquo;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.<\/p><p><strong>Catching problems before users do is the whole point.<\/strong> Dada put it plainly: &ldquo;If you&rsquo;re waiting for the customers to show up at the bank and something&rsquo;s broken and then they have to call IT, you&rsquo;re being very reactive. LogicMonitor tests all the time so that if something happens at four o&rsquo;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.&rdquo;<\/p><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50 rtc-text-content--no-top-pad\">\n      <span class=\"head-icon\"><svg class=\"\" width=\"50px\" height=\"50px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-light-calendar-check\"><\/use>\n    <\/svg><\/span>\n  \n  <div class=\"rtc-text-content__wrapper\">\n          <h4 class=\"rtc-text-content__headline fs-sm-text-display-xxs fs-md-text-display-xs fs-lg-text-display-sm font-medium text-core-blue-900\">\n        Watch the On-Demand Webinar      <\/h4>\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900\">\n        <p>See how MSPs are adding Internet Performance Monitoring to their service offering and turning proactive experience assurance into a competitive advantage.<\/p>\n      <\/div>\n    \n          \n      \n              <div>\n            <a href=\"https:\/\/www.logicmonitor.com\/resources\/webinar-msp-proactive-digital-experience-assurance-ipm\" class=\"btn btn-link\" target=\"_self\">\n        Voir la d\u00e9mo          <span class=\"icon-end\"><svg class=\"\" width=\"20px\" height=\"20px\" style=\"fill: #060F4B\">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-arrow-right\"><\/use>\n    <\/svg><\/span>\n      <\/a>\n        <\/div>\n            <\/div>\n<\/div><h2 class=\"wp-block-heading\" id=\"h-recommended-reading-and-webinars\">Recommended Reading and Webinars<\/h2><ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.logicmonitor.com\/blog\/edwin-ai-catchpoint-internet-visibility-autonomous-it\">Fermeture de la fracture num\u00e9rique pour permettre l'autonomie informatique avec Edwin AI + Catchpoint<\/a>: 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.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.logicmonitor.com\/blog\/autonomous-operations-without-blind-spots\">Autonomous IT Without Blind Spots<\/a>: 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.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.logicmonitor.com\/blog\/reduce-mttr-with-ai\">Comment r\u00e9duire le MTTR gr\u00e2ce \u00e0 l'IA<\/a>: &ldquo;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.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.logicmonitor.com\/resources\/on-demand-webinar-how-to-build-a-proactive-and-predictive-monitoring-approach\">How to build a proactive and predictive monitoring approach<\/a>: 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.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.logicmonitor.com\/resources\/navigating-observability-challenges-a-fireside-chat-with-451-research\">Navigating observability challenges<\/a>: A fireside chat with 451 Research &mdash; 451 Research analyst Mike Fratto and LogicMonitor&rsquo;s Ben Radke discuss unified monitoring with real-world examples of organizations that solved fragmented visibility across hybrid and multi-cloud environments.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.logicmonitor.com\/resources\/on-demand-webinar-hybrid-cloud-clarity-powered-by-ai-discussion-and-demo-with-logicmonitor-and-aws\">Hybrid Cloud Clarity Powered by AI<\/a>: LogicMonitor and AWS walk through unified visibility across on-premises and cloud environments, with AI-driven alert prioritization.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.logicmonitor.com\/resources\/best-practices-for-effective-it-alerting\">Best Practices for Effective IT Alerting<\/a>: Practical guidance on alert routing, threshold configuration, and keeping signal-to-noise ratios manageable.<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>Pourquoi les MSP qui voient au-del\u00e0 du pare-feu remportent des clients plus importants, r\u00e9duisent les escalades et renforcent leurs arguments en faveur de l'\u00e9largissement de leur offre de services.<\/p>","protected":false},"author":14,"featured_media":610987,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"unicorn_plugin_options_block_body_class":"","footnotes":""},"categories":[1],"tags":[],"industry":[6790],"language":[7],"role":[6787],"lm_search_queries":[],"lm_strategic_tags":[7381,7437,7391,7392,7372,7439,7470,7271,7394,7450],"topic":[6774],"class_list":["post-610986","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","industry-all","language-english","role-partner","lm_strategic_tags-alerts","lm_strategic_tags-automated-discovery","lm_strategic_tags-event-intelligence","lm_strategic_tags-gen-ai-agent","lm_strategic_tags-role-based-access-control","lm_strategic_tags-saas","lm_strategic_tags-sd-wan","lm_strategic_tags-servicenow","lm_strategic_tags-slack","lm_strategic_tags-synthetics","topic-digital-experience"],"acf":{"is_global_bar_disabled":false,"is_global_bar_overriden":false,"page_language":"english","translated_pages":"","reviewers":false,"is_search_excluded":false,"is_global_form_disabled":false,"is_global_form_override":false,"component_layouts":false,"related_resources":false,"updated_date":"","author_section_checkbox":false,"reviewer_name":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.9 (Yoast SEO v26.9) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Elevate Your MSP: From Reactive IT to Proactive Digital Experience Assurance | LogicMonitor Elevate Your MSP: From Reactive IT to Proactive Digital Experience Assurance | LogicMonitor<\/title>\n<meta name=\"description\" content=\"When dashboards show green and users are still complaining, the problem usually lives outside the firewall. 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Naser"}}]}},"_links":{"self":[{"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/posts\/610986","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/comments?post=610986"}],"version-history":[{"count":5,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/posts\/610986\/revisions"}],"predecessor-version":[{"id":611008,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/posts\/610986\/revisions\/611008"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/media\/610987"}],"wp:attachment":[{"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/media?parent=610986"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/categories?post=610986"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/tags?post=610986"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/industry?post=610986"},{"taxonomy":"language","embeddable":true,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/language?post=610986"},{"taxonomy":"role","embeddable":true,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/role?post=610986"},{"taxonomy":"lm_search_queries","embeddable":true,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/lm_search_queries?post=610986"},{"taxonomy":"lm_strategic_tags","embeddable":true,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/lm_strategic_tags?post=610986"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/topic?post=610986"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":610698,"date":"2026-05-18T06:00:00","date_gmt":"2026-05-18T11:00:00","guid":{"rendered":"https:\/\/www.logicmonitor.com\/?p=610698"},"modified":"2026-05-15T17:45:59","modified_gmt":"2026-05-15T22:45:59","slug":"internet-performance-monitoring-autonomous-it","status":"publish","type":"post","link":"https:\/\/www.logicmonitor.com\/fr\/blog\/internet-performance-monitoring-autonomous-it","title":{"rendered":"Les DSI autonomes ont besoin de la surveillance des performances Internet : pourquoi la seule visibilit\u00e9 interne ne suffit plus"},"content":{"rendered":"<?xml encoding=\"UTF-8\"><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50 rtc-text-content--no-top-pad\">\n      <span class=\"head-icon\"><svg class=\"\" width=\"50px\" height=\"50px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-light-book-open\"><\/use>\n    <\/svg><\/span>\n  \n  <div class=\"rtc-text-content__wrapper\">\n          <h4 class=\"rtc-text-content__headline fs-sm-text-display-xs fs-md-text-display-sm fs-lg-text-display-md font-medium text-core-blue-900\">\n        Le t\u00e9l\u00e9chargement rapide :      <\/h4>\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900 headline-is-quote\">\n        <p>Internal visibility isn&rsquo;t enough for modern incident response.<\/p>\n      <\/div>\n    \n                  <ul class=\"rtc-text-content__bullet-list\">\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p>Internal dashboards can look healthy while users are still affected, because many performance issues happen in external dependencies like DNS, ISPs, CDNs, network paths, and third-party APIs.<\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p>Internet performance monitoring closes that visibility gap by showing what happens between your systems and your users, helping teams identify whether the problem is internal, external, regional, or provider-related.<\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p>That external context helps teams troubleshoot faster, reduce time spent ruling out the wrong layers, and make incident response more accurate.<\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p><strong>Recommandation :<\/strong> Trace one customer-facing service end to end and identify where your visibility stops. Any dependency outside that line of sight is a blind spot worth closing.<\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                  <\/ul>\n      \n      \n            <\/div>\n<\/div><p>Your app team has three dashboards open and everything looks fine. CPU is healthy, memory is stable, the application servers are responding normally. But users are still complaining. The checkout page is slow. Logins are timing out. Support tickets are piling up. And your monitoring tools have nothing useful to say about why.<\/p><p>This is a frustrating situation in IT operations, and it&rsquo;s more common than most teams want to admit. The problem isn&rsquo;t with the servers you&rsquo;re watching. It&rsquo;s somewhere between the user and the application&mdash;in a DNS resolution that&rsquo;s taking too long, an ISP route that&rsquo;s degraded, a CDN edge node that&rsquo;s struggling, or a third-party payment API that&rsquo;s responding more slowly than it should. None of that shows up on the infrastructure dashboard, because none of it lives inside your firewall.<\/p><p>Internet performance monitoring extends visibility into the external delivery environment: the DNS providers, ISPs, CDN nodes, APIs, and network paths that sit between your systems and your users.<\/p><p>Modern digital services don&rsquo;t run on internal infrastructure alone. A single user action can travel through a browser, a local network, an ISP, a DNS provider, a CDN, cloud edge services, the application itself, and one or more external APIs before anything comes back. Each of those layers is part of the real service delivery chain. Some of them you own. Most of them you don&rsquo;t. But all of them affect what users actually experience.<\/p><p>This matters even more as organizations move toward <a href=\"https:\/\/www.logicmonitor.com\/fr\/solutions\/autonomous-it\">IT autonome<\/a>, the operating model where IT can detect issues, decide what to do next, take governed action, and verify results without humans manually driving every step. That kind of operating model depends on complete visibility. If the signals feeding it stop at the edge of owned infrastructure, the blind spots don&rsquo;t disappear. They just don&rsquo;t show up until users start noticing.<\/p><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50\">\n  \n  <div class=\"rtc-text-content__wrapper\">\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900\">\n        <p>Internal monitoring shows one part of the service. Users experience the whole delivery chain.<\/p>\n      <\/div>\n    \n      <\/div>\n<\/div><p>As <a href=\"https:\/\/nvlpubs.nist.gov\/nistpubs\/specialpublications\/NIST.SP.800-207.pdf\">NIST SP 800-207 on Zero Trust Architecture<\/a> notes, a significant portion of enterprise network traffic may be opaque to layer 3 network analysis tools, including traffic from non-enterprise-owned assets and services that resist passive monitoring. It&rsquo;s a structural problem.<\/p><h2 class=\"wp-block-heading\" id=\"h-what-is-internet-performance-monitoring-and-why-does-it-matter-for-autonomous-it\">What is Internet Performance Monitoring, and why does it matter for Autonomous IT?<\/h2><p>Internet performance monitoring is the practice of monitoring the internet-facing delivery ecosystem an application depends on&mdash;DNS, ISPs, CDN and cloud edge services, network paths, third-party APIs, and other external dependencies that shape what users actually experience. The scope is broader than most teams assume. The question is whether the full chain between a user and a working service is intact, including the parts you don&rsquo;t own or control.<\/p><figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"594\" src=\"https:\/\/www.logicmonitor.com\/wp-content\/uploads\/2026\/04\/Image-1-The-Internet-Stack-brings-hidden-interdependencies-1024x594.png\" alt=\"\" class=\"wp-image-608474\" srcset=\"https:\/\/www.logicmonitor.com\/wp-content\/uploads\/2026\/04\/Image-1-The-Internet-Stack-brings-hidden-interdependencies-1024x594.png 1024w, https:\/\/www.logicmonitor.com\/wp-content\/uploads\/2026\/04\/Image-1-The-Internet-Stack-brings-hidden-interdependencies-300x174.png 300w, https:\/\/www.logicmonitor.com\/wp-content\/uploads\/2026\/04\/Image-1-The-Internet-Stack-brings-hidden-interdependencies-768x445.png 768w, https:\/\/www.logicmonitor.com\/wp-content\/uploads\/2026\/04\/Image-1-The-Internet-Stack-brings-hidden-interdependencies-18x10.png 18w, https:\/\/www.logicmonitor.com\/wp-content\/uploads\/2026\/04\/Image-1-The-Internet-Stack-brings-hidden-interdependencies.png 1500w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\"><\/figure><p>Autonomous IT is the operating model where IT can detect issues, decide what to do next, take governed action, and verify results without humans doing every step manually. <a href=\"https:\/\/www.gartner.com\/en\/articles\/what-is-autonomous-business\">Gartner describes autonomous systems<\/a> as those that &ldquo;sense what&rsquo;s happening and independently make decisions without waiting for human instructions,&rdquo; which is useful framing because it highlights how much signal quality matters.<\/p><p>Autonomous IT is a closed loop with guardrails. The goal is intelligent, governed action grounded in complete visibility and real-world context.<a href=\"https:\/\/nvlpubs.nist.gov\/nistpubs\/legacy\/sp\/nistspecialpublication800-137.pdf\"> NIST SP 800-137 on Information Security Continuous Monitoring<\/a> is explicit that automated processes should operate within defined control and audit requirements, not without oversight.<\/p><p>The link between these two concepts is straightforward. Autonomous IT starts with complete visibility, because a system can&rsquo;t respond intelligently to what it can&rsquo;t see. Signals need to span infrastructure, cloud, network, edge, application, digital experience, and internet performance, not just the layers inside the firewall. If any part of that picture is missing, the system is making decisions with incomplete information.<\/p><p>It&rsquo;s also worth being clear about what internet performance monitoring is not. Traditional network monitoring helps teams understand what&rsquo;s connected and how it performs inside the environment. Application performance monitoring focuses on the application itself. Internet performance monitoring extends visibility into the external delivery path and the third-party dependencies users rely on to reach the service. These disciplines are complementary, not interchangeable. Each covers a different segment of the service-delivery chain, and the gaps between them are where real user experience problems tend to hide.<\/p><h2 class=\"wp-block-heading\" id=\"h-why-internal-only-monitoring-misses-problems-that-affect-real-user-experience\">Why internal-only monitoring misses problems that affect real user experience<\/h2><p>Internal dashboards can show healthy systems while users are still running into problems. Infrastructure looks stable. Application response times are within range. Support tickets say something else.<\/p><p>That disconnect happens because service delivery doesn&rsquo;t stop at your environment. Users reach applications through DNS providers, ISPs, CDNs, cloud edge services, and third-party APIs. Those dependencies shape performance just as much as the systems you manage directly. <a href=\"https:\/\/www.gartner.com\/reviews\/market\/digital-experience-monitoring\">Gartner&rsquo;s definition of digital experience monitoring<\/a> reflects that broader view, describing it as measuring the availability, performance, and quality of application experience for users, not just the condition of internal systems.<\/p><p>When one of those external dependencies slows down or fails, internal telemetry often won&rsquo;t show the cause clearly. That makes incident response harder than it needs to be. Teams start where they have data: application servers, databases, load balancers, and backend services. Sometimes that leads to the answer. Sometimes the issue sits with a provider, a regional network path, or another dependency outside their line of sight.<\/p><p>That gap matters because incident response depends on understanding what happened, where it happened, and whether the fix actually worked. <a href=\"https:\/\/nvlpubs.nist.gov\/nistpubs\/specialpublications\/nist.sp.800-61r2.pdf\">NIST&rsquo;s incident handling guidance<\/a> includes post-incident review as a core part of the process, with questions such as exactly what happened, what was done to intervene, and how well the intervention worked. If teams can&rsquo;t see the external delivery path, those answers take longer to find.<\/p><p>Internet performance monitoring fills in that missing context. It extends visibility across the path between users and services, including DNS behavior, network latency, packet loss, regional reachability, and third-party dependency performance from the user side of the connection. That added context helps teams narrow the problem faster, route incidents to the right owners sooner, and verify recovery based on actual user experience, not just internal system health. Gartner&rsquo;s DEM category criteria also emphasize external, front-end measurement and end-to-end visibility into requests and journeys.<\/p><p>That broader visibility also reflects how much risk now lives outside the systems teams manage directly. In <a href=\"https:\/\/datacenter.uptimeinstitute.com\/rs\/711-RIA-145\/images\/AnnualOutageAnalysis2023.03092023.pdf\">Uptime Institute&rsquo;s 2023 outages analysis<\/a>, only 11% of respondents said public cloud services were resilient enough to run all mission-critical workloads, while 18% said public cloud was not resilient enough to run any of them. External dependencies are part of the service-delivery chain and need to be included in the monitoring strategy, too.<\/p><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50\">\n  \n  <div class=\"rtc-text-content__wrapper\">\n          <h4 class=\"rtc-text-content__headline fs-sm-text-display-xxs fs-md-text-display-xs fs-lg-text-display-sm font-medium text-core-blue-900\">\n        Use Case: Protecting Customer Login Flows in Financial Services      <\/h4>\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900\">\n        <p>A financial services team saw a wave of login timeout complaints even though server, database, and application metrics were healthy. Delivery-path monitoring revealed DNS resolution spikes affecting users in two geographies, pointing to a provider-side issue instead of an application failure. That gave the team faster root-cause clarity for a customer-facing service where delays quickly erode trust.<\/p>\n      <\/div>\n    \n      <\/div>\n<\/div><h2 class=\"wp-block-heading\" id=\"h-why-autonomous-it-needs-internet-performance-monitoring\">Why Autonomous IT needs internet performance monitoring<\/h2><p>Autonomous IT is a closed-loop operating model. The system detects signals, understands what&rsquo;s affected, reasons through what to do next, takes governed action, and then verifies that the action actually worked. Each stage depends on the one before it, which means the quality of the data feeding into that loop determines how well the whole thing functions.&nbsp;<\/p><p>Internet performance monitoring matters here because it adds a category of evidence that internal telemetry alone can&rsquo;t provide: what&rsquo;s happening between the user and the service, across delivery paths and dependencies that sit outside the firewall.<\/p><p>At each stage, that visibility changes how the system operates.<\/p><ul class=\"wp-block-list\">\n<li>Detection improves when the system can see internet-aware signals alongside infrastructure metrics, because some issues in external paths appear there earlier or more clearly than they do in internal telemetry alone.<\/li>\n\n\n\n<li>Diagnosis gets sharper when delivery-path context is available, because teams can determine whether a problem is rooted in the application, a third-party dependency, a provider route, or a specific geography, rather than spending time ruling out layers they can&rsquo;t see.<\/li>\n\n\n\n<li>Decision-making gets more grounded when it&rsquo;s informed by what users are actually experiencing, not just what internal systems report.<\/li>\n\n\n\n<li>Verification becomes more credible when the system can confirm that performance improved for real users after an action was taken, not just that internal metric returned to baseline.<\/li>\n<\/ul><p>Research from the <a href=\"https:\/\/www.ida.org\/-\/media\/feature\/publications\/a\/as\/assessing-the-quality-of-decision-making-by-autonomous-systems\/p-9116.ashx\">Institute for Defense Analyses (IDA)<\/a> on autonomous decision-making quality makes this point in precise terms: assessing the quality of decisions made by autonomous systems requires visibility into the inner workings of the decision engines themselves, beyond black-box mission-level testing. It&rsquo;s a practical constraint on how much trust organizations can reasonably place in automated workflows that operate on partial information.<\/p><p>Autonomous IT isn&rsquo;t a synonym for unchecked automation. The point is to stop requiring humans to manually drive every step of a loop that&rsquo;s grown too complex and too fast to manage that way. Organizations that equate autonomy with &ldquo;let the system do whatever it wants&rdquo; tend to hit a trust wall quickly. The ones that build autonomy incrementally, with clear policies and controls, tend to expand it more confidently over time.<\/p><p>For teams thinking about this journey, cleaner, more connected signals are where it starts. Before an organization can automate responses with confidence, it needs to link symptoms to service impact across both internal systems and the external dependencies users rely on. A gap in that picture means the system is reasoning from incomplete information, which makes governed action harder to trust and harder to validate. Extending visibility to include internet performance and delivery-path signals is a foundational step in building the kind of signal quality that makes autonomous operations credible rather than risky.<\/p><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50\">\n  \n  <div class=\"rtc-text-content__wrapper\">\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900\">\n        <p>When digital experience depends on infrastructure and the internet together, the monitoring that supports Autonomous IT needs to reflect both.<\/p>\n      <\/div>\n    \n      <\/div>\n<\/div><h2 class=\"wp-block-heading\" id=\"h-wrapping-up\">Conclusion<\/h2><p>If user experience depends on DNS, APIs, SaaS platforms, providers, and network paths you don&rsquo;t control, then monitoring only what sits inside your environment leaves gaps that matter. Not gaps in a theoretical sense&mdash;gaps that show up during real incidents, when your dashboards look fine, and users are still complaining.<\/p><p>A useful starting point is to pick one customer-facing service and trace it honestly. Map where the request goes from the moment a user initiates it to the moment they get a response. Which parts of that path does your monitoring actually cover? Where does your visibility stop? For most teams, the answer reveals dependencies on external DNS, third-party APIs, CDN layers, or ISP routes that sit completely outside what current tools can see. That exercise alone tends to clarify where the blind spots are.<\/p><p>Teams that have done this exercise consistently report the same thing: the map they draw looks different from what their monitoring actually covers. A SaaS company that went through this process found that four of the seven hops between a user initiating a login and the application responding involved dependencies:<\/p><ul class=\"wp-block-list\">\n<li>a DNS provider<\/li>\n\n\n\n<li>a CDN<\/li>\n\n\n\n<li>an identity provider<\/li>\n\n\n\n<li>a third-party fraud-detection API<\/li>\n<\/ul><p>All those dependencies sat entirely outside their existing visibility. None of those had ever appeared on an incident timeline because there had been no way to see them. Once those layers were in scope, two previously unexplained incidents from the prior quarter were retroactively traced to external causes.<\/p><p>Extending visibility beyond the firewall is a foundational requirement for making that model work reliably. When digital experience depends on infrastructure and the internet together, the monitoring that supports Autonomous IT needs to reflect both.<\/p><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50\">\n      <span class=\"head-icon\"><svg class=\"\" width=\"50px\" height=\"50px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-light-calendar-check\"><\/use>\n    <\/svg><\/span>\n  \n  <div class=\"rtc-text-content__wrapper\">\n          <h4 class=\"rtc-text-content__headline fs-sm-text-display-xxs fs-md-text-display-xs fs-lg-text-display-sm font-medium text-core-blue-900\">\n        See where your monitoring stops and what users still experience.      <\/h4>\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900\">\n        <p>Talk with our team about the blind spots in your current monitoring strategy and how to extend visibility across the external dependencies that shape real user experience.<\/p>\n      <\/div>\n    \n          \n      \n              <div>\n            <a href=\"https:\/\/www.logicmonitor.com\/fr\/book-a-demo\" class=\"btn btn-link\" target=\"_self\">\n        Allons-y          <span class=\"icon-end\"><svg class=\"\" width=\"20px\" height=\"20px\" style=\"fill: #060F4B\">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-arrow-right\"><\/use>\n    <\/svg><\/span>\n      <\/a>\n        <\/div>\n            <\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Les incidents modernes ne s'arr\u00eatent pas au pare-feu. D\u00e9couvrez comment la surveillance des performances d'Internet aide les \u00e9quipes informatiques \u00e0 visualiser les d\u00e9pendances externes, \u00e0 r\u00e9soudre les probl\u00e8mes plus rapidement et \u00e0 prendre en charge l'informatique autonome gr\u00e2ce \u00e0 une visibilit\u00e9 plus compl\u00e8te.<\/p>","protected":false},"author":46,"featured_media":610714,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"unicorn_plugin_options_block_body_class":"","footnotes":""},"categories":[1],"tags":[],"industry":[6790],"language":[7],"role":[],"lm_search_queries":[],"lm_strategic_tags":[],"topic":[],"class_list":["post-610698","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","industry-all","language-english"],"acf":{"page_language":"english","translated_pages":"","reviewers":false,"is_global_bar_disabled":false,"is_global_bar_overriden":false,"is_search_excluded":false,"is_global_form_disabled":false,"is_global_form_override":false,"component_layouts":false,"related_resources":false,"updated_date":"","author_section_checkbox":false,"reviewer_name":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.9 (Yoast SEO v26.9) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Internet Performance Monitoring for Autonomous IT | LogicMonitor.<\/title>\n<meta name=\"description\" content=\"Internal monitoring alone can miss DNS, ISP, CDN, and API issues that affect users. 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Total Economic Impact\u2122 r\u00e9v\u00e8le que LogicMonitor Edwin AI a g\u00e9n\u00e9r\u00e9 un retour sur investissement de 3131 % et a \u00e9t\u00e9 amorti en six mois ou moins"},"content":{"rendered":"<?xml encoding=\"UTF-8\"><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50 rtc-text-content--no-top-pad\">\n      <span class=\"head-icon\"><svg class=\"\" width=\"50px\" height=\"50px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-light-book-open\"><\/use>\n    <\/svg><\/span>\n  \n  <div class=\"rtc-text-content__wrapper\">\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900 headline-is-quote\">\n        <p>Forrester Consulting&rsquo;s Total Economic Impact&trade; study found that a composite organization based on interviewed customers achieved 313% ROI and payback in less than 6 months with LogicMonitor Edwin AI.<\/p>\n      <\/div>\n    \n                  <ul class=\"rtc-text-content__bullet-list\">\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p>Based on interviews with seven decision-makers at five organizations, Forrester aggregated the findings into a composite organization to evaluate costs, benefits, and risks over three years<\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p>The modeled return came from reducing alert noise, accelerating root cause analysis, cutting customer-impacting downtime, lowering SLA exposure, and reducing the cost of legacy event-management workflows<\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p>The study gives IT and business leaders a clearer framework for assessing the financial impact of AI-driven event correlation, investigation, and incident response in complex environments<\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                  <\/ul>\n      \n      \n            <\/div>\n<\/div><p>AI for IT operations has a credibility problem. The market is crowded with claims about speed, automation, and intelligence, while buyers are left doing the harder work of separating measurable impact from vendor language.<\/p><p>A new commissioned study from Forrester Consulting gives that conversation firmer ground. In <a href=\"https:\/\/www.logicmonitor.com\/resources\/logicmonitor-edwin-ai-total-economic-impact-study-by-forrester\"><strong>The Total Economic Impact&trade; Of LogicMonitor Edwin AI<\/strong><\/a>, Forrester Consulting found that a <strong>composite organization based on interviewed customers achieved 313% ROI over three years and payback in less than 6 months<\/strong> with LogicMonitor Edwin AI.<\/p><p>Those figures matter because they are grounded in detailed interviews, a composite organization constructed from real customer experience, and a three-year financial analysis of costs, benefits, flexibility, and risk. The full study goes further, showing where the return came from, what assumptions shaped the analysis, and which operational constraints were dragging performance before Edwin AI was introduced.<\/p><h2 class=\"wp-block-heading\" id=\"h-what-forrester-studied\">What Forrester studied<\/h2><p>Forrester Consulting conducted interviews with seven decision-makers at five organizations with experience using Edwin AI, then aggregated those findings into a composite organization. In the study, that organization is a multinational enterprise with $2.5 billion in annual revenue, 5,000 employees, and business-critical applications running across hybrid cloud and on-premises environments.<\/p><p>Before adopting Edwin AI, the organizations interviewed described a familiar set of issues, including fragmented monitoring tools, high alert volumes, manual triage, slow root cause analysis, inefficient escalation, and rising SLA risk. That combination is expensive, pulling experienced engineers into repetitive work, slows response when incidents matter most, and adds friction across the incident lifecycle.<\/p><p>Forrester&rsquo;s study models what changes when that work is handled with more context, stronger correlation, and more automation built into the workflow.<\/p><h2 class=\"wp-block-heading\" id=\"h-where-the-financial-impact-came-from\">Where the financial impact came from<\/h2><p>The study found that the composite organization&rsquo;s three-year, risk-adjusted present value benefits came from five main areas.<\/p><h3 class=\"wp-block-heading\" id=\"h-1-lower-alert-noise-and-triage-effort\">1. Lower alert noise and triage effort<\/h3><p>Forrester found that the composite organization began reducing alert noise early, reaching a 75% reduction in Year 1 and a 90% reduction at the optimized Year 3 state, producing $1.7 million in three-year risk-adjusted value. Those gains contributed to $1.2 million in total Year 1 benefits across the model and helped the composite organization achieve payback in less than 6 months.<\/p><p>That is one of the clearest findings in the study because the gains begin early &mdash; in some customer environments, Edwin AI has started surfacing value <a href=\"https:\/\/www.logicmonitor.com\/resources\/logicmonitor-fuels-syngentas-global-food-security-mission-with-edwin-ai\">within an hour<\/a> and reduced incidents within the first 30 days &mdash; and build over time. Noise slows triage, creates duplication, obscures priority, and keeps engineers focused on validating issues that never needed intervention. In the Forrester model, Edwin AI reduced that burden by correlating related events, suppressing non-actionable alerts, and routing meaningful incidents for human review.<\/p><h3 class=\"wp-block-heading\" id=\"h-2-faster-root-cause-analysis\">2. Faster root cause analysis<\/h3><p>Forrester found that the composite organization reduced time spent on root cause analysis for complex incidents by 60% in Year 1, with gains building toward a 70% reduction by Year 3 and yielding $798,981 in three-year risk-adjusted value.<\/p><p>Root cause analysis is where fragmented telemetry becomes expensive. When engineers have to move manually across metrics, events, logs, topology, tickets, and infrastructure context just to identify the likely source of an issue, response slows and senior resources get pulled into work that should be shorter and more targeted. In the study, Edwin AI helped shorten that path by surfacing correlated incident context, probable root-cause insights, and AI-assisted investigation.<\/p><h3 class=\"wp-block-heading\" id=\"h-3-reduced-downtime-for-customer-facing-services\">3. Reduced downtime for customer-facing services<\/h3><p>Forrester found that the composite organization improved resolution of P1 and P2 incidents causing customer-facing outages early, with a 20% reduction in incidents and a 40% reduction in MTTR in Year 1. By Year 3, MTTR improved by 50%, generating $1.1 million in three-year risk-adjusted value from improved business continuity.<\/p><p>The study also references $8.4 million in revenue recaptured from reduced P1\/P2 downtime over three years. That figure is useful because it connects incident response to business consequences directly. It also reinforces the speed of the business case: Forrester found that the composite organization paid back its Edwin AI investment in less than 6 months. Less downtime protects revenue-generating services, preserves continuity, and reduces the cost of delayed diagnosis.<\/p><h3 class=\"wp-block-heading\" id=\"h-4-fewer-sla-breaching-incidents\">4. Fewer SLA-breaching incidents<\/h3><p>Forrester found that the composite organization lowered SLA-breaching P1 and P2 incidents early, with a 30% reduction in Year 1 and improvements building to 40% by Year 3. Those avoided penalties and related costs yielded $446,250 in three-year risk-adjusted value.<\/p><p>This is one of the more practical findings in the study because it is tied to exposure that leadership teams already understand. When incident detection and resolution improve, service penalties decline. That has immediate relevance for organizations managing contractual obligations, availability targets, or regulated service environments.<\/p><h3 class=\"wp-block-heading\" id=\"h-5-lower-legacy-event-management-overhead\">5. Lower legacy event-management overhead<\/h3><p>Forrester found that the composite organization reduced time spent managing the alerting and event-management layers of the prior monitoring environment by 50% in Year 1, while also reducing duplicative tooling spend by 70% in the same year. By Year 3, management time fell by 70%, producing $377,400 in three-year risk-adjusted value.<\/p><p>That category deserves attention because complexity rarely lives in one platform. It accumulates in scripts, custom logic, point tools, integrations, and manual tuning layered across the environment. The study attributes part of Edwin AI&rsquo;s value to reducing that maintenance burden over time.<\/p><h2 class=\"wp-block-heading\" id=\"h-move-faster-toward-autonomous-it-with-logicmonitor-edwin-ai\">Move faster toward Autonomous IT with LogicMonitor Edwin AI<\/h2><p><strong>Forrester found that Edwin AI helped teams move faster from alert to action while reducing the effort and cost required to manage incident workflows.<\/strong><\/p><p>Across the interviews, teams were spending too much time sorting alerts, validating symptoms, tracing dependencies, and moving between systems before they could get to the actual issue. Edwin AI improved that workflow by reducing noise, surfacing context sooner, and helping teams investigate and respond faster.<\/p><p>As one global head of IT networks in agriculture told Forrester: &ldquo;Our engineers got half their day back with Edwin AI. It&rsquo;s fun coming to work again because they have time to deal with higher-level issues. They&rsquo;re involved in more projects and exciting rollouts that they could have never done before because everyone was managing tickets all the time.&rdquo;<\/p><p>That is what makes the Autonomous IT business case stronger: Edwin AI improves operational capability without adding proportional cost or administrative burden. In the Forrester model, that showed up as faster investigation, lower service risk, reduced legacy event-management maintenance, and lower costs tied to overlapping tools and prior workflows.<\/p><p>Interviewees described the progress in practical terms:<\/p><ul class=\"wp-block-list\">\n<li><strong>Cleaner signal:<\/strong> Fewer duplicative and non-actionable alerts.<\/li>\n\n\n\n<li><strong>Faster investigation:<\/strong> More context upfront, less manual correlation across disconnected systems.<\/li>\n\n\n\n<li><strong>Lower service risk:<\/strong> Faster triage and root cause analysis helped reduce downtime and SLA exposure.<\/li>\n\n\n\n<li><strong>Less workflow friction:<\/strong> Teams spent less time maintaining custom alert logic, routing layers, and legacy event-management workflows.<\/li>\n<\/ul><p>Those changes point to a more credible path toward Autonomous IT: faster movement from visibility to context to action, with less manual drag, lower overhead, and better economics.<\/p><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50\">\n      <span class=\"head-icon\"><svg class=\"\" width=\"50px\" height=\"50px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-light-calendar-check\"><\/use>\n    <\/svg><\/span>\n  \n  <div class=\"rtc-text-content__wrapper\">\n          <h4 class=\"rtc-text-content__headline fs-sm-text-display-xxs fs-md-text-display-xs fs-lg-text-display-sm font-medium text-core-blue-900\">\n        Want the numbers behind the impact? Read The Total Economic Impact&trade; Of LogicMonitor Edwin AI for the full methodology, assumptions, cost model, and benefit breakdown.      <\/h4>\n    \n    \n          \n      \n              <div>\n            <a href=\"https:\/\/www.logicmonitor.com\/resources\/logicmonitor-edwin-ai-total-economic-impact-study-by-forrester\" class=\"btn btn-link\" target=\"_self\">\n        Lisez l'\u00e9tude          <span class=\"icon-end\"><svg class=\"\" width=\"20px\" height=\"20px\" style=\"fill: #060F4B\">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-arrow-right\"><\/use>\n    <\/svg><\/span>\n      <\/a>\n        <\/div>\n            <\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>LogicMonitor Edwin AI&#8217;s Total Economic Impact\u2122 Study by Forrester finds organizations achieved 313% ROI and payback in less than 6 months with Edwin AI.<\/p>","protected":false},"author":14,"featured_media":609874,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"unicorn_plugin_options_block_body_class":"","footnotes":""},"categories":[1],"tags":[],"industry":[6790],"language":[7],"role":[6783],"lm_search_queries":[],"lm_strategic_tags":[7773,7381,7386,7282,7391,7392,7389,7371,7387,7374],"topic":[6769],"class_list":["post-609871","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","industry-all","language-english","role-it-leadership","lm_strategic_tags-ai-automation","lm_strategic_tags-alerts","lm_strategic_tags-dashboards","lm_strategic_tags-edwin","lm_strategic_tags-event-intelligence","lm_strategic_tags-gen-ai-agent","lm_strategic_tags-recommendations","lm_strategic_tags-root-cause-analysis","lm_strategic_tags-service-insights","lm_strategic_tags-topology","topic-aiops-automation"],"acf":{"is_global_bar_disabled":false,"is_global_bar_overriden":false,"page_language":"english","translated_pages":"","reviewers":false,"is_search_excluded":false,"is_global_form_disabled":false,"is_global_form_override":false,"component_layouts":false,"related_resources":false,"updated_date":"","author_section_checkbox":true,"reviewer_name":"","author_image":"https:\/\/www.logicmonitor.com\/wp-content\/uploads\/2025\/02\/margo-2-1.jpeg","author_linkedin":"https:\/\/www.linkedin.com\/in\/mspoda\/","author_name":"Margo Poda","author_job_title":"Sr. Content Marketing Manager, AI","author_dept":"Edwin AI","author_bio":"Margo Poda leads content strategy for Edwin AI at LogicMonitor. With a background in both enterprise tech and AI startups, she focuses on making complex topics clear, relevant, and worth reading\u2014especially in a space where too much content sounds the same. She\u2019s not here to hype AI; she\u2019s here to help people understand what it can actually do."},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.9 (Yoast SEO v26.9) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Total Economic Impact\u2122 study finds LogicMonitor Edwin AI delivered a 313% ROI and payback in 6 months or less | LogicMonitor<\/title>\n<meta name=\"description\" content=\"LogicMonitor Edwin AI&#039;s Total Economic Impact\u2122 Study by Forrester finds organizations can achieve 313% ROI and payback in less than 6 months with Edwin AI.\" \/>\n<meta name=\"robots\" content=\"noindex, nofollow\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Total Economic Impact\u2122 study finds LogicMonitor Edwin AI delivered a 313% ROI and payback in 6 months or less\" \/>\n<meta property=\"og:description\" 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Naser"}}]}},"_links":{"self":[{"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/posts\/609871","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/comments?post=609871"}],"version-history":[{"count":4,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/posts\/609871\/revisions"}],"predecessor-version":[{"id":610031,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/posts\/609871\/revisions\/610031"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/media\/609874"}],"wp:attachment":[{"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/media?parent=609871"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/categories?post=609871"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/tags?post=609871"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/industry?post=609871"},{"taxonomy":"language","embeddable":true,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/language?post=609871"},{"taxonomy":"role","embeddable":true,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/role?post=609871"},{"taxonomy":"lm_search_queries","embeddable":true,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/lm_search_queries?post=609871"},{"taxonomy":"lm_strategic_tags","embeddable":true,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/lm_strategic_tags?post=609871"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/www.logicmonitor.com\/fr\/wp-json\/wp\/v2\/topic?post=609871"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}},{"id":609790,"date":"2026-05-12T10:27:43","date_gmt":"2026-05-12T15:27:43","guid":{"rendered":"https:\/\/www.logicmonitor.com\/?p=609790"},"modified":"2026-05-12T10:27:52","modified_gmt":"2026-05-12T15:27:52","slug":"solarwinds-alternative-evaluation-guide","status":"publish","type":"post","link":"https:\/\/www.logicmonitor.com\/fr\/blog\/solarwinds-alternative-evaluation-guide","title":{"rendered":"Comment \u00e9valuer une alternative \u00e0 SolarWinds"},"content":{"rendered":"<?xml encoding=\"UTF-8\"><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50 rtc-text-content--no-top-pad\">\n      <span class=\"head-icon\"><svg class=\"\" width=\"50px\" height=\"50px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-light-book-open\"><\/use>\n    <\/svg><\/span>\n  \n  <div class=\"rtc-text-content__wrapper\">\n          <h4 class=\"rtc-text-content__headline fs-sm-text-display-xs fs-md-text-display-sm fs-lg-text-display-md font-medium text-core-blue-900\">\n        Le t\u00e9l\u00e9chargement rapide :      <\/h4>\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900 headline-is-quote\">\n        <p>Choosing a SolarWinds alternative is an opportunity to reduce the operational complexity of legacy, module-based monitoring.<\/p>\n      <\/div>\n    \n                  <ul class=\"rtc-text-content__bullet-list\">\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p>Evaluate platforms based on their ability to connect monitoring, insights, and safe automation across hybrid environments<\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p>Prioritize a single telemetry pipeline that correlates metrics, logs, and traces natively to accelerate root cause analysis<\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p>Consider the long-term total cost of ownership, including the maintenance overhead and &ldquo;care-and-feeding&rdquo; burden of the platform<\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                      <li class=\"bullet-list-item\">\n              <span class=\"bullet-list-item__icon\">\n                <svg class=\"\" width=\"24px\" height=\"24px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-check-mark\"><\/use>\n    <\/svg>              <\/span>\n              <div class=\"bullet-list-item__content\">\n                                  <span class=\"bullet-list-item__content-heading fs-sm-text-sm fs-md-text-md fs-lg-text-md text-midnight-blue-500\">\n                    <p>Look for a SaaS-native architecture that provides visibility across the full digital path, including internet dependencies, to eliminate blind spots<\/p>\n                  <\/span>\n                              <\/div>\n            <\/li>\n                  <\/ul>\n      \n      \n            <\/div>\n<\/div><p>If you&rsquo;re evaluating a SolarWinds alternative, the question isn&rsquo;t just which platform can replace the features you already have. It&rsquo;s whether the next platform can reduce the operational complexity that made you consider alternatives in the first place.<\/p><p>For many teams, that complexity has been building for years. Legacy, module-based monitoring platforms can create fragmented visibility, alert volume, and blind spots across cloud, applications, and Internet dependencies that teams don&rsquo;t fully control&mdash;a structural challenge identified in the <a href=\"https:\/\/www.gartner.com\/en\/documents\/5663737\">2025 Gartner&reg; Magic Quadrant&trade; for Observability Platforms<\/a>.<\/p><p>These gaps shape how quickly teams can investigate incidents, how much time they spend switching contexts, and how much overhead the platform itself adds to daily operations.&nbsp;<\/p><p>Evaluating a SolarWinds alternative should go beyond matching features to determine if a platform can connect monitoring, insights, and safe automation across hybrid environments without creating more work for the teams using it.<\/p><h2 class=\"wp-block-heading\" id=\"h-why-feature-checklists-dont-tell-you-enough\">Why Feature Checklists Don&rsquo;t Tell You Enough<\/h2><p>Many platforms can match isolated capabilities, but a better evaluation starts with how the platform works during real incidents:<\/p><ul class=\"wp-block-list\">\n<li>How data is collected<\/li>\n\n\n\n<li>How signals are correlated<\/li>\n\n\n\n<li>How quickly teams can investigate issues<\/li>\n\n\n\n<li>How much manual effort the platform removes or adds<\/li>\n<\/ul><p>Separate products for network monitoring, server monitoring, flow analysis, and configuration management force teams to constantly switch contexts, increasing manual effort and delaying root cause analysis when every minute counts<\/p><p><a href=\"https:\/\/www.forrester.com\/report\/the-forrester-wave-observability-platforms-q4-2024\/RES179920\">Forrester&rsquo;s observability platform evaluation<\/a> reflects this shift. Buyers are increasingly looking for platforms that combine metrics, logs, topology, and user experience data instead of relying on disconnected tools. In practice, the evaluation should focus on whether the platform reduces the work required to connect those boxes when an incident happens.<\/p><h2 class=\"wp-block-heading\" id=\"h-start-with-architecture-when-evaluating-a-solarwinds-alternative\">Start with Architecture When Evaluating a SolarWinds Alternative<\/h2><p>The architecture behind a platform shapes what operations feel like day to day. <a href=\"https:\/\/www.techtarget.com\/searchitoperations\/tip\/Observability-vs-monitoring-Key-differences-explained\">TechTarget notes<\/a> that predefined dashboards and thresholds are less effective in dynamic distributed systems where failure modes are unpredictable. In those environments, the real issue is whether teams can bring metrics, events, logs, topology, and configuration data together quickly enough to understand what is actually happening.<\/p><p>A platform built to bring data into one system gives teams a single place where signals can be collected, related, and interpreted together. A platform assembled across multiple products may still offer broad coverage, but that coverage can come with more handoffs, more maintenance, and more manual correlation during incidents. Whether a platform was built to connect signals natively or depends on multiple products working together affects everything from investigation speed to operational overhead.<\/p><h2 class=\"wp-block-heading\" id=\"h-what-a-single-telemetry-pipeline-changes\">What a Single Telemetry Pipeline Changes<\/h2><p>A single data stream changes incident response because teams don&rsquo;t have to assemble the picture manually. When telemetry flows through one system, engineers can correlate signals without pulling them from separate tools, resulting in faster root cause analysis. Instead of starting with scattered alerts and building context by hand, teams start with a connected view of what changed, what is affected, and where they should investigate first.<\/p><p>This difference is critical in hybrid environments where the line between infrastructure, application, and Internet dependency is rarely clean. A platform that connects data at the source gives teams a better chance of understanding issues before they expand into a longer investigation or a larger incident bridge<\/p><h2 class=\"wp-block-heading\" id=\"h-born-saas-vs-migrated-saas-what-buyers-should-ask\">Born SaaS vs. Migrated SaaS: What Buyers Should Ask<\/h2><p>Not every SaaS observability platform was designed as one. It&rsquo;s essential to ask whether a platform was built in the cloud from the start or whether an on-premises product was migrated into it&mdash;and if the latter, whether full feature parity exists. This distinction affects how quickly the platform can change and how much work it creates for the team.&nbsp;<\/p><p>LogicMonitor has operated as a SaaS platform for nearly two decades, receiving regular updates without an on-premises code base to maintain or migrate from. While buyers should also weigh coverage depth, migration effort, and governance, determining if a platform was designed for modern delivery from the start reveals its fitness for fast-changing environments.<\/p><h2 class=\"wp-block-heading\" id=\"h-a-solarwinds-alternative-should-cover-the-full-digital-path\">A SolarWinds Alternative Should Cover the Full Digital Path<\/h2><p>One of the clearest weaknesses in legacy monitoring shows up when an incident looks like an infrastructure problem but originates elsewhere, such as a degraded CDN, a DNS provider outage, or an unreachable third-party API. Infrastructure-first monitoring tools can surface symptoms without identifying these external dependencies IT teams rely on for seamless service delivery..<\/p><p>Without Internet path and digital experience visibility, teams spend escalation cycles chasing the wrong layer, leaving the question &ldquo;is this us or them?&rdquo; unanswered. A stronger SolarWinds alternative provides visibility across infrastructure, application, and Internet dependencies so teams can see reality instead of reconstructing it after the fact.<\/p><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50\">\n  \n  <div class=\"rtc-text-content__wrapper\">\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900\">\n        <p>Explore how LogicMonitor and Catchpoint reduce blind spots across Internet, application, and infrastructure dependencies.<\/p>\n      <\/div>\n    \n          \n      \n              <div>\n            <a href=\"https:\/\/www.logicmonitor.com\/fr\/logicmonitor-catchpoint\" class=\"btn btn-link\" target=\"_self\">\n        Allons-y          <span class=\"icon-end\"><svg class=\"\" width=\"20px\" height=\"20px\" style=\"fill: #060F4B\">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-arrow-right\"><\/use>\n    <\/svg><\/span>\n      <\/a>\n        <\/div>\n            <\/div>\n<\/div><h2 class=\"wp-block-heading\" id=\"h-evaluate-ai-by-what-it-helps-teams-do\">Evaluate AI by What It Helps Teams Do<\/h2><p>AI should be evaluated by whether it improves operations, not by how prominently it appears in marketing. Buyers should consider whether it helps reduce alert noise, improve prioritization, support root cause analysis, and make investigations easier across complex environments.<\/p><p>A stronger approach to AI does more than summarize alerts. It helps teams connect signals across the environment, preserve context as incidents move between systems and teams, and reduce the manual work that slows investigation. That matters because operations teams rarely solve issues in one screen. They move between alerts, logs, tickets, chat threads, and service context to understand what changed, what is affected, and where to act next. <a href=\"https:\/\/www.logicmonitor.com\/fr\/edwin-ai\">Edwin AI de LogicMonitor<\/a> supports that broader operational role, with an emphasis on context-aware investigation, topology-informed analysis, evidence-backed RCA, and continuity across workflows rather than standalone AI features.<\/p><p>For buyers evaluating alternatives, the more useful question is not simply whether a platform includes AI, but whether that AI helps teams investigate and respond with less friction. Edwin AI points to that more operational model by helping connect signals, carry context across workflows, and support a more connected investigation process. The takeaway for buyers is to evaluate whether AI is embedded where operational work actually happens and whether it helps teams move from detection to understanding faster.<\/p><p>Operational AI also requires controls. Buyers should evaluate approvals, role-based access controls, auditability, and standardized playbooks. Enterprise teams need automation that works within the boundaries required by production environments, not just AI that produces outputs without governance.<\/p><h2 class=\"wp-block-heading\" id=\"h-what-a-realistic-migration-from-solarwinds-looks-like\">What a Realistic Migration from SolarWinds Looks Like<\/h2><p>Most enterprise teams worry that a transition creates more risk than staying put. A realistic migration usually starts with overlapping coverage in core infrastructure and network environments, then expands into cloud, logs, and digital experience as confidence grows. Because migration sequencing and tool retirement vary by environment, teams should plan for variability rather than a clean linear progression.<\/p><p>Testing the platform in a real evaluation is still important for validating these workflows. Rather than relying on a checklist alone, teams should look for a structured evaluation process that helps confirm deployment simplicity, coverage depth, and operational fit within the context of the broader buying decision. LogicMonitor supports that kind of validation by helping teams build technical confidence before committing to a broader migration.<\/p><p>Support also plays a role; <a href=\"https:\/\/www.logicmonitor.com\/resources\/how-coca-cola-bottling-consolidated-have-revolutionized-their-it-infrastructure\">Coca-Cola Consolidated<\/a> completed an implementation in weeks through close collaboration and training. Migration is an adoption issue as much as a technical one.<\/p><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50\">\n  \n  <div class=\"rtc-text-content__wrapper\">\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900\">\n        <p>Review the LogicMonitor vs. SolarWinds solution brief.<\/p>\n      <\/div>\n    \n          \n      \n              <div>\n            <a href=\"https:\/\/www.logicmonitor.com\/fr\/resources\/logicmonitor-vs-solarwinds-solution-brief\" class=\"btn btn-link\" target=\"_self\">\n        Allons-y          <span class=\"icon-end\"><svg class=\"\" width=\"20px\" height=\"20px\" style=\"fill: #060F4B\">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-arrow-right\"><\/use>\n    <\/svg><\/span>\n      <\/a>\n        <\/div>\n            <\/div>\n<\/div><h2 class=\"wp-block-heading\" id=\"h-cost-and-licensing-should-be-part-of-the-evaluation\">Cost and Licensing Should Be Part of the Evaluation<\/h2><p>Cost should be evaluated alongside architecture, focusing on whether the structure holds up as the environment changes. Buyers must understand how a vendor prices monitored elements across hybrid environments. LogicMonitor uses platform packages and Hybrid Units to span different resource types across on-prem, cloud, and edge environments.<\/p><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50\">\n  \n  <div class=\"rtc-text-content__wrapper\">\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900\">\n        <p>One Hybrid Unit is equivalent to one on&ndash;prem collector monitored device, one cloud IaaS, seven cloud PaaS, or five wireless access points.<\/p>\n      <\/div>\n    \n      <\/div>\n<\/div><p>The larger issue is the total cost of ownership (TCO). Entry price does not capture the overhead of scaling coverage, the frequency of licensing changes, or the points where premium fees add cost over time. Pricing, governance, and vendor dependency should be evaluated as part of how the platform will operate over the long term.<\/p><h2 class=\"wp-block-heading\" id=\"h-solarwinds-vs-logicmonitor-what-actually-matters\">SolarWinds vs. LogicMonitor: What Actually Matters<\/h2><p>The comparison comes down to whether a platform can support a hybrid environment at scale without needing constant maintenance.<\/p><h3 class=\"wp-block-heading\" id=\"h-comparison-table-logicmonitor-vs-solarwinds\">Comparison Table: LogicMonitor vs. SolarWinds<\/h3><figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Dimension<\/strong><\/td><td><strong>LogicMonitor<\/strong><\/td><td><strong>SolarWinds<\/strong><\/td><\/tr><tr><td><strong>Platform Approach<\/strong><\/td><td>Unified AI-first hybrid observability platform for Autonomous IT.<\/td><td>Modular product set across monitoring and IT operations.<\/td><\/tr><tr><td><strong>Deployment Model<\/strong><\/td><td>SaaS platform with agentless collectors that support deployment and discovery for hybrid and cloud.<\/td><td>Portfolio reflects legacy infrastructure monitoring and product-dependent workflows.&nbsp;<\/td><\/tr><tr><td><strong>Time to Value<\/strong><\/td><td>Quick collector deployment, automatic discovery, and faster onboarding for hybrid environments.<\/td><td>Mixed; traditional tooling often described as setup-intensive.&nbsp;<\/td><\/tr><tr><td><strong>AI and Automation<\/strong><\/td><td>AI-first: Edwin AI supports context-aware investigation, event correlation, alert prioritization, evidence-backed RCA, and more connected response workflows across hybrid environments.<\/td><td>AI capabilities exist but are less central to public positioning.<\/td><\/tr><tr><td><strong>Digital Experience and Internet Visibility<\/strong><\/td><td>DEM with native synthetic monitoring plus expanded internet performance and digital experience monitoring.<\/td><td>Digital experience capabilities, but less central to its broader platform story.<\/td><\/tr><tr><td><strong>Investigation Workflow<\/strong><\/td><td>More unified investigation flow, correlating logs, metrics, alerts, and topology to reduce noise and accelerate troubleshooting in complex environments<\/td><td>Strong network\/infrastructure tools through NetPath, PerfStack, dashboards, and timeline analysis, but workflows are more feature- and product-dependent.<\/td><\/tr><tr><td><strong>Cross-Team Usability<\/strong><\/td><td>Easier shared use across teams, with a modern interface, streamlined navigation, resource-level dashboards, and RBAC for team-specific access from one platform.<\/td><td>Complexity and modular expansion may create more friction across teams, especially in smaller or less specialized organizations.<\/td><\/tr><tr><td><strong>Total Cost of Ownership<\/strong><\/td><td>Fully hosted SaaS model helps reduce platform maintenance, administrative overhead, and the day-to-day care and feeding required to sustain monitoring at scale.<\/td><td>Total operational burden can rise with self-managed infrastructure, ongoing upkeep, and more hands-on platform administration.<\/td><\/tr><tr><td><strong>Pricing model<\/strong><\/td><td>Flexible pricing and platform packaging.<\/td><td>Tends to depend more on product mix and sales engagement.<\/td><\/tr><tr><td><strong>Security Certifications<\/strong><\/td><td>ISO\/IEC 27001:2022, SOC 2 Type 2, FedRAMP Moderate (LM for Gov).<\/td><td>ISO\/IEC 27001:2022, SOC 2 Type 2, Common Criteria EAL2+.<\/td><\/tr><tr><td><strong>Implementation and Post-Sale Support<\/strong><\/td><td>Support available through live chat and email, with phone support available through Premier Support, plus tiered service options and positive reviewer feedback on rollout and adoption support.<\/td><td>Some practitioner reviews describe the setup as complex and support quality as inconsistent.<\/td><\/tr><\/tbody><\/table><\/figure><p>A platform built around separate modules may cover the right domains, but teams often feel the complexity in how they investigate and maintain the environment. A platform designed to connect those domains directly reduces that operational weight.&nbsp;<\/p><h2 class=\"wp-block-heading\" id=\"h-the-best-solarwinds-alternative-should-make-operations-simpler\">The Best SolarWinds Alternative Should Make Operations Simpler<\/h2><p>The strongest alternative isn&rsquo;t the one that looks most similar on a checklist; it&rsquo;s the one that reduces complexity across the environment you actually run. This requires evaluating architecture, visibility, AI, and licensing as part of the same decision to ensure the platform helps teams investigate faster and manage change with less overhead.<\/p><p>The right SolarWinds alternative shouldn&rsquo;t just add another dashboard but actively reduce the effort required during incidents. The goal is to adopt a platform that streamlines monitoring, simplifies triage, and accelerates response for the teams handling these issues daily.&nbsp; It&rsquo;s about minimizing time spent firefighting so teams can focus more of their time on strategic, company-driven initiatives.&nbsp;<\/p><div class=\"rtc-text-content rtc-text-content__light bg-cool-grey-50\">\n      <span class=\"head-icon\"><svg class=\"\" width=\"50px\" height=\"50px\" style=\"fill: \">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-light-calendar-check\"><\/use>\n    <\/svg><\/span>\n  \n  <div class=\"rtc-text-content__wrapper\">\n          <h4 class=\"rtc-text-content__headline fs-sm-text-display-xxs fs-md-text-display-xs fs-lg-text-display-sm font-medium text-core-blue-900\">\n        Make your next move beyond SolarWinds with more confidence.      <\/h4>\n    \n          <div class=\"rtc-text-content__body fs-sm-text-md fs-md-text-lg fs-lg-text-lg text-core-blue-900\">\n        <p>Talk with our team about your environment, your priorities, and the smartest path forward.<\/p>\n      <\/div>\n    \n          \n      \n              <div>\n            <a href=\"https:\/\/www.logicmonitor.com\/contact-us\" class=\"btn btn-link\" target=\"_self\">\n        Start here          <span class=\"icon-end\"><svg class=\"\" width=\"20px\" height=\"20px\" style=\"fill: #060F4B\">\n        <use xlink:href=\"https:\/\/www.logicmonitor.com\/wp-content\/themes\/unicorntwentyfive\/assets\/icons\/sprite.svg#icon-arrow-right\"><\/use>\n    <\/svg><\/span>\n      <\/a>\n        <\/div>\n            <\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Remplacer SolarWinds ne consiste pas seulement \u00e0 \u00e9galer les fonctionnalit\u00e9s. Il s'agit de choisir une plateforme qui r\u00e9duit la complexit\u00e9 de l'infrastructure hybride et des d\u00e9pendances Internet.<\/p>","protected":false},"author":14,"featured_media":609796,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"unicorn_plugin_options_block_body_class":"","footnotes":""},"categories":[1],"tags":[],"industry":[6790],"language":[7],"role":[7820],"lm_search_queries":[],"lm_strategic_tags":[],"topic":[6775],"class_list":["post-609790","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","industry-all","language-english","role-it-operations-manager","topic-infrastructure"],"acf":{"is_global_bar_disabled":false,"is_global_bar_overriden":false,"page_language":"english","translated_pages":"","reviewers":false,"is_search_excluded":false,"is_global_form_disabled":false,"is_global_form_override":false,"component_layouts":false,"related_resources":false,"updated_date":"","author_section_checkbox":false,"reviewer_name":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.9 (Yoast SEO v26.9) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>How to Evaluate a SolarWinds Alternative | LogicMonitor How to Evaluate a SolarWinds Alternative | LogicMonitor.<\/title>\n<meta name=\"description\" content=\"Evaluating a SolarWinds alternative takes more than a checklist. 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