LogicMonitor

What LogicMonitor does

LogicMonitor provides an AI-first platform for Autonomous IT, LM Envision, which unifies observability and agentic AIOps to help enterprises prevent issues before they impact the business. It offers comprehensive monitoring across hybrid environments, including on-premises, cloud, and edge infrastructure, with over 3,000 integrations. The platform brings together detection, context, intelligence, and governed action to reduce blind spots, speed decisions, and enable teams to respond proactively. LogicMonitor's solutions are designed to support various industries and IT functions, helping organizations achieve predictable reliability, increased productivity, and governed automation at scale. The platform also includes Edwin AI, which uses context-aware reasoning, business-aware prioritization, and recommended next steps to operationalize autonomous IT, reduce alert noise, and automate incident resolution.

Products

• LM EnvisionAn AI-first platform for Autonomous IT that unifies observability and agentic AIOps to prevent issues, reduce risk, drive efficiency, and accelerate innovation across hybrid environments.
• Edwin AIAn agentic intelligence and orchestration engine with purpose-built AI agents for investigation, remediation, collaboration, and knowledge capture. It uses unsupervised ML and event enrichment to reduce alert noise, deliver high-fidelity insights, and enable self-healing operations.
• LM LogsProvides real-time insights into patterns and anomalies with easy-to-search logs for faster troubleshooting, connecting logs to metrics and alerts.
• LM UptimeWebsite and endpoint monitoring to track uptime, performance, and availability of critical web services.
• LM Synthetics and Internet PerformanceContinuously tests performance and availability across internal, external, and third-party Internet Stack dependencies.
• LM Real User Monitoring with Session ReplayCombines real user performance monitoring with session replay to visualize user journeys, diagnose, and analyze experience issues.
• LM Endpoint MonitoringMonitors devices, applications, and networks from employee endpoints to gain visibility into digital experience.
• WebPageTestA tool for web performance monitoring, offering flexible pricing plans for occasional testing (Starter) and advanced functionality like scheduled tests, customizable alerts, and API access (Professional).
• LM ContainerKubernetes Monitoring Integration that comprehensively monitors Kubernetes orchestrated container environments and applications.

Key capabilities

• AI-first platform for Autonomous IT
• Agentic AIOps with Edwin AI
• Hybrid Infrastructure Monitoring (on-prem and cloud)
• Real-time log management and intelligence (LM Logs)
• Website and endpoint monitoring (LM Uptime)
• Internet Performance Monitoring (LM Synthetics and Internet Performance)
• Real User Monitoring with Session Replay
• Endpoint Monitoring
• Automated Infrastructure Discovery
• Dynamic Service Insights
• Automated Diagnostics and Remediation
• Data Publisher for streaming metric data
• SaaS Monitoring
• Cost Optimization for cloud spend
• ServiceNow CMDB Integration
• Resource Explorer for health summary and drill-down
• Topology mapping of resource relationships
• Configuration monitoring for changes
• Netflow monitoring for network traffic visibility
• SMS Alerting
• Customizable Dashboards and Reporting
• 3000+ Integrations
• Root cause analysis
• Event Intelligence with Edwin AI
• API & integrations for extensibility
• Dynamic thresholds
• Anomaly detection
• Forecasting & prediction
• Internet Stack Map
• Preconfigured automation workflows
• Rapid onboarding for automation
• AI-Enriched alert context
• Event-driven automation
• Automated onboarding for monitoring setup
• Log anomaly detection
• Log pattern recognition
• Automated log analysis
• Log search and filtering
• Log correlation with metrics and alerts
• Customizable log ingestion with Cribl pipelines

Use cases

• Reducing ITSM incidents
• Reducing alert noise
• Correlating alerts and delivering insights
• Preventing disruptions and protecting revenue/brand
• Eliminating blind spots in IT operations
• Operating autonomously at scale
• Faster troubleshooting and modernization
• Proactive IT operations
• Self-healing IT operations
• Optimizing cloud costs and budget management
• Tracking uptime, performance, and availability of critical web services
• Visualizing user journeys and diagnosing experience issues
• Gaining visibility into employee digital experience
• Accelerating troubleshooting and resolution
• Proprietary data analysis
• Maintaining optimal SaaS performance
• Real-time service health and alerts
• Identifying root cause of performance issues
• Mapping services and dependencies
• Planning capacity and preventing outages
• Accelerating migration success to AWS
• Unifying cloud and on-prem monitoring
• Troubleshooting after migrations
• Aligning IT performance to business goals
• Driving IT transformation
• Reducing risk in IT operations
• Responding faster to incidents
• Resolving incidents smarter
• Scaling IT operations with confidence
• Predicting incidents
• Triggering automated responses
• Managing performance and forecasting spend in cloud environments
• Accelerating release velocity in software development
• Simplifying CI/CD monitoring
• Catching issues early in development
• Protecting subscription revenue
• Delighting end users with reliable digital experiences
• Scaling without silos across product teams
• Monitoring CI/CD pipelines, cloud-native apps, APIs, containers, edge services
• Streamlining audit navigation and adapting to regulations (Financial Services)
• Simplifying compliance efforts and staying ahead of regulations (Healthcare)
• Accelerating client onboarding and reducing operational overhead (MSP)
• Ensuring audit readiness and strengthening citizen-facing services (Public Sector)
• Keeping operations moving and minimizing downtime (Manufacturing)
• Keeping checkouts fast and promotions live (Restaurants & Retail)
• Supporting clinical uptime and maintaining research integrity (Life Sciences)
• Delivering smooth guest experiences and simplifying PCI compliance (Hospitality)
• Protecting billable uptime and monitoring client-facing systems (Professional Services)
• Optimizing web pages and front-end code
• Quantifying performance improvements across global digital experiences
• Improving SLA compliance and accelerating incident resolution for car dealers
• Optimizing global digital experiences by monitoring DNS, CDN, and web application performance
• Modernizing faster and connecting hybrid environments
• Automating routine tasks
• Gaining real-time insights for smarter decisions
• Overcoming digital transformation roadblocks
• Preventing downtime before it happens
• Managing budgets and meeting SLAs
• Troubleshooting, querying, proactive monitoring, and alerting with log data

AI approach

LogicMonitor utilizes Agentic AI, specifically Edwin AI, for AIOps, event intelligence, and automation. Edwin AI uses unsupervised ML and event enrichment to reduce alert noise, deliver high-fidelity insights, and enable self-healing operations. It helps in investigation, remediation, collaboration, knowledge capture, and generating new remediation workflows. The platform is described as an "AI-first platform for Autonomous IT" and is recognized by NVIDIA as an AI-native company.

Tech named: Edwin AI, unsupervised ML, Agentic AI, AIOps, NVIDIA

Industries served

• Financial Services
• Healthcare
• Managed Service Providers (MSP)
• Public Sector
• Manufacturing
• Restaurants & Retail
• Life Sciences
• Hospitality
• Technology
• Professional Services
• Telecommunications
• Government

What it says sets it apart

• AI-first platform for Autonomous IT
• Agentic AIOps with Edwin AI for context-aware reasoning and governed action
• Unified observability across hybrid environments (on-prem, cloud, edge)
• Over 3,000 out-of-the-box integrations
• Significant reduction in alert noise (88-90%) and ITSM incidents (67-76%)
• Faster Mean Time To Resolution (MTTR) (46-70% reduction)
• Comprehensive monitoring from code to cloud to customer
• Dynamic Service Insights for automated service mapping
• Automated Diagnostics and Remediation capabilities
• Cost Optimization features for cloud spend
• Real User Monitoring with Session Replay for visualizing user journeys
• Internet Performance Monitoring with Catchpoint
• Built-in expertise with preconfigured templates and suggested thresholds
• Secure-by-design architecture with strong authentication, access controls, and encryption
• Compliance with SOC2 Type 2, ISO 27001, ISO 27017, ISO 27018, and GDPR
• Dedicated customer success managers and 24x7 live support
• LM Academy for free, on-demand training and certifications