Platform
Solution
Industry
Role
There is no result.

One Observability Platform. Total Stack Clarity.

Gain unified visibility across your entire technology stack, leveraging AI insights to proactively detect, resolve, and prevent issues before they impact your business and customers.

Try it free

TRUSTED BY LEADING COMPANIES

Schneider electric logo
topgolf logo
Columbia Sportswear logo
Coca Cola Bottling Distributed logo

AI-POWERED OBSERVABILITY

Complete visibility and control across your entire stack

LogicMonitor Envision combines comprehensive observability with AI-driven intelligence across your infrastructure, apps, and cloud environments, so you can detect issues early, optimize performance, and ensure services run reliably.

BY THE NUMBERS

Network monitoring that makes an impact

0 %
fewer tickets
0 %
fewer monitoring tools
0 %
faster MTTR
0 %
time savings

Unified visibility without the overhead

Simplify operations with one intuitive platform that brings infrastructure, cloud, and apps into a single view—no more tool sprawl or data silos.

Resolve issues before they escalate

LM Envision uses AI-powered insights and real-time telemetry to detect problems early—so you can act before users or services are affected.

Optimize resources, cut waste

Track usage, spot inefficiencies, and forecast spend—so you can stay ahead of budget risks and scale smarter across hybrid environments.

Scale without limits

Auto-discover devices, services, and dependencies as your environment evolves. LM Envision grows with your infrastructure—no manual work required.

Make your ITOps even smarter

Edwin AI: Agentic AIOps for Incident Management

Edwin AI helps you catch issues early, cut through noise, and resolve incidents fast. With built-in generative AI, it auto-correlates alerts, surfaces root cause, and gives step-by-step guidance to fix problems before customers ever notice.

Learn More

Total Observability. One Platform.

Get complete visibility, focus on what matters most, and stay confidently in control of your environment.

Monitoring
Dashboards
Alerts
Observability
Cost Optimization
Security

Unify all your AI-related telemetry to eliminate blind spots.

  • GPU & Compute Metrics Collect utilization, memory usage, temperature, and power-draw data for NVIDIA GPUs—both on-prem and in the cloud—with automatic discovery of new clusters.
  • LLM & API Telemetry Ingest token counts, API call latency, error rates, and cost-per-request from OpenAI, AWS Bedrock, Azure OpenAI, and GCP Vertex AI.
  • Vector Database Visibility Gather query volume, read/write latency, and index-size metrics from Pinecone and ChromaDB clusters, directly, out of the box.

See every AI and infrastructure metric in a single pane of glass.

  • Single Pane of Glass Display LLM, GPU, and vector-DB metrics alongside existing server and network data in one scrollable view.
  • Prebuilt Templates Access ready-made AI-focused dashboards that ship with LM Envision.
  • Custom Dashboards Build and arrange widgets via drag-and-drop to tailor views for any team or role.

Edwin AI learns your environment’s baseline and only surfaces what’s important.

  • Anomaly Detection Engine Automatically flags unusual behavior across LLMs, GPUs, APIs, and pipelines, so you can catch issues early without manual thresholds.
  • Threshold-Based Alerts Set custom thresholds for any metric and receive notifications when values exceed or drop below defined limits.
  • Noise Suppression Suppress redundant or low-priority alerts automatically, ensuring only high-confidence incidents trigger notifications.

Trace every request to uncover root causes in seconds.

  • End-to-End Tracing Instrument inference pipelines (API call → LLM framework → GPU execution → return) to trace request paths and identify latency bottlenecks.
  • Service Chain Insights Capture and correlate metrics from Amazon SageMaker, AWS Q Business, Kubernetes pods, LangChain agents, and other middleware components.
  • Hybrid-Cloud Topology Mapping Auto-discover and map relationships between on-prem hosts, cloud VMs, and container clusters—updating maps as new resources spin up.

Stay ahead of costs with AI spend forecasting and budget recommendations.

  • Token Cost Breakdown Break down AI spend by model, application, or team using built-in cost dashboards.
  • Idle Resource Detection Identify idle or under-utilized GPUs and vector-DB shards to highlight opportunities for consolidation.
  • Forecasting & Budget Alerts Apply historical metrics to forecast next month’s token spend or GPU usage and configure budget-threshold alerts.

Combine service events and security logs to flag unauthorized activity and export audit-ready logs instantly.

  • Unified Security Events Ingest security logs and alerts (firewall, VPN, endpoint) alongside AI-service events—flagging unauthorized API calls, unusual container launches, and data-store access anomalies.
  • Audit Logging Store and export logs and metric snapshots for any point in time to support compliance (e.g., HIPAA, SOC 2) and audit reporting.

We couldn’t see the whole picture. Since deploying LogicMonitor, we have one tool and one location where we can see across all our infrastructure. The time savings are huge. I can’t even calculate them, but I would say hundreds of hours.

Idan L.
US Operations, Optimal+

Integrations

Open & Agnostic

Leverage LM Envision’s 3,000+ existing integrations (servers, networks, storage, APM, CMDB) to feed infrastructure and application telemetry alongside AI data. Explore integrations

ITSM Integration

Push enriched incident details—complete with GPU, LLM, and database context—to ServiceNow, Jira, and Zendesk; maintain two-way sync for status updates.

AI Connectors

Turn on plugins for OpenAI, AWS Bedrock, Azure OpenAI, GCP Vertex AI, Pinecone, ChromaDB, NVIDIA DCGM, and OpenLIT—each connector ingests the required metrics automatically. 

See What AI Observability Can Do for Your Stack

See how LogicMonitor helps you monitor your AI systems in one place. Your team can move faster with fewer surprises.

Start your trial

GET ANSWERS

FAQs

Get the answers to the top network monitoring questions.

Have more? Ask our experts
What is an observability platform?

An observability platform is a unified system that collects and correlates metrics, logs, and traces across infrastructure, applications, and cloud environments. It helps teams understand system behavior, quickly detect and investigate issues, and improve performance at scale.

How is AI observability different from traditional monitoring?

Traditional monitoring watches CPU, memory, and uptime. AI observability connects those signals with model behavior, like output changes, performance slowdowns, and unusual agent behaviors.

Can LogicMonitor integrate with my existing tools and cloud providers?

Absolutely. LM Envision offers built-in integrations with AWS, Azure, GCP, Kubernetes, ServiceNow, and hundreds more. You can get value without rearchitecting your stack.

How fast can we get up and running?

Most customers see insights within days. With automated discovery, prebuilt dashboards, and minimal manual setup, LM Envision accelerates time to value.

Is LogicMonitor a good fit for hybrid or multi-cloud environments?

Yes. LM Envision is purpose-built for complex, distributed environments including hybrid infrastructure and multi-cloud deployments. You get unified visibility no matter where your systems run.

How does LogicMonitor support cost optimization?

LM Envision helps you right-size resources, identify inefficiencies, and plan capacity more accurately. This gives you cost control without sacrificing performance.