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By Andrew Keating
Most legacy AIOps investments underdeliver because the AI lacks context, not capability. LogicMonitor’s latest innovations expand Edwin AI’s contextual intelligence across every dimension, so recommendations are accurate, explainable, and trusted by the teams that need to act on them. Reduce incident resolution time with AI that understands your environment—not just your alerts.
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By Garth Fort
LogicMonitor’s latest innovations span the entire platform to deliver the operational foundation enterprises need for Autonomous IT—complete visibility from infrastructure to end user, AI that reasons in full context, and closed-loop automation that moves from detection to resolution. Over 90% of organizations rely on at least two to three monitoring solutions—and many enterprises operate five or more.
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By LogicMonitor
Automated Diagnostics & Remediation reduces MTTR by closing the gap between detection, diagnosis, and resolution.
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By Teia Jensen
Proactive budget alerts turn cloud cost optimization into an everyday operational practice. If you are responsible for managing cloud infrastructure, you already know the pattern. Costs creep up quietly, and by the time anyone notices, it is the end of the month and you are explaining instead of preventing overruns. According to Flexera’s 2026 State of the Cloud Report, 85% of their respondents say managing cloud costs is their number one priority for the year.
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By LogicMonitor
Autonomous IT only works when observability gives it the context to act with confidence. On any given day, a mid-size enterprise generates tens of thousands of alerts across on-prem infrastructure, multiple clouds, SaaS tools, Internet dependencies, and AI workloads. Most of them don’t need a human. A few of them do. Telling the difference, fast enough to matter, is exactly where IT teams are losing ground.
The Edwin AI Agent Orchestrator: Coordinated Incident Investigation Across the Tools You Already Use
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By LogicMonitor
Edwin AI’s Agent Orchestrator keeps incident investigation, context, and response aligned as work moves across tools, eliminating the manual handoffs that slow resolution. Every major incident has two timelines running in parallel. The first is the incident itself—services degrading, users affected, business impact accumulating. The second is quieter and just as costly: engineers switching tabs, re-explaining context to new responders, moving notes from one tool to another by hand.
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By Margo Poda
Fragmentation limits AI automation because context is split across systems, forcing humans to bridge the gap. Most IT environments are fragmented by design. Observability data lives in one set of systems, investigation happens in another, and execution sits behind separate tools with their own ownership and controls. During an incident, context does not move with the work.
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By LogicMonitor
Effective network monitoring requires path validation, not only device polling. Traditional Network Monitoring System (NMS) tools were built for static networks, not today’s hybrid reality. You poll devices, check interface counters, and still struggle to explain why users complain about latency. Traffic moves across SD-WAN architectures, cloud routing layers, and public internet paths that device metrics never capture.
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By Sofia Burton
Autonomous IT is the result of a long operational evolution, from static monitoring and rule-based automation to AIOps and now to systems that can increasingly diagnose, prioritize, and act within defined guardrails. Autonomous IT gets talked about like it appeared out of nowhere. As if someone flipped a switch and suddenly systems started managing themselves. The reality is far less dramatic and far more instructive. What we’re seeing today is the result of decades of incremental progress.
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By Margo Poda
Most operational waste comes from fragmented workflows rather than individual performance constraints. An incident begins long before any fix is applied. Alerts trigger, tickets open, and engineers start reconstructing context across systems that were never designed to operate as one. Logs, metrics, past incidents, and runbooks sit in separate tools, each requiring manual lookup, interpretation, and validation before any decision can be made.
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By LogicMonitor, Inc.
If you work in public sector IT—whether at the federal, state, or local level—you know how complex things have gotten. Keeping everything running smoothly is a daily challenge between aging infrastructure, hybrid cloud environments, and growing cybersecurity demands. LogicMonitor's hybrid observability platform powered by AI helps government IT teams simplify monitoring, reduce alert noise, and avoid issues with AI-powered insights. You’ll see how observability helps agencies.
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By LogicMonitor
Tired of drowning in IT alerts? Struggling to find the root cause of incidents? Edwin AI is here to help. Edwin AI is the first agentic AI built for IT teams, designed to cut through the noise, speed up resolutions, and prevent outages. Cuts alert noise by 90% – Less clutter, more focus Fixes issues 60% faster – AI-powered insights and recommendations Boosts team productivity by 20% – Automates tasks and escalations.
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By LogicMonitor
In this demo, discover how LogicMonitor Envision's anomaly detection helps your IT team stay ahead of issues before they escalate. By analyzing every log event, Envision identifies and marks new patterns as anomalies, ensuring your team is notified when something unusual happens. This capability, combined with unified logs and metrics, provides the context you need to make faster, smarter decisions about your network's performance and health.
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By LogicMonitor
In this short demo video, Michael Rodrigues, Senior Product Manager, will give you a tour of SNMP Traps as Logs, a new way to monitor SNMP traps with LogicMonitor. SNMP Traps as Logs enables real-time, event-driven notifications for critical networking issues within a user-friendly interface, unlocking instant insights. By ingesting SNMP traps as logs instead of EventSources, you can consolidate network troubleshooting efforts within a single pane of glass for a holistic Network Monitoring approach, eliminate monitoring gaps, improve reliability, and facilitate resource planning.
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By LogicMonitor
Struggling to manage servers, cloud, and edge environments? You're not alone. Listen to LogicMonitor's CEO, Christina Crawford Kosmowski, explain what LogicMonitor's #HybridObservability platform is doing for #itprofessionals.
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By LogicMonitor
Ever wonder what #machinelearning (#ml) really means? Or how it's different from #ai? What even is #aiops? This #BackToBasics short explains it ALL in plain English! #shorts Follow us...
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By LogicMonitor
Monitoring solutions need to do more than just provide visibility. They need to extract and deliver powerful business insight to drive results. The LogicMonitor solution does that. And it is fast, easy, SaaS-based and hybrid-capable!
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By LogicMonitor
The new book, "Preparing for Your Migration to the Cloud," written by LogicMonitor founder, Steve Francis, and published by O'Reilly Media, is the first comprehensive guide for businesses preparing for migration to the cloud.
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By LogicMonitor
Helping to protect the confidentiality of our customers' systems and data is of utmost importance to LogicMonitor, as is maintaining the trust and confidence of our customers.
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By LogicMonitor
Until recently, Hadoop deployments existed on hardware owned and run by organizations. Now, of course, you can acquire the computing resources and network connectivity to run Hadoop clusters in the cloud. But there's a lot more to deploying Hadoop to the public cloud than simply renting machines.
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By LogicMonitor
CloudWatch gives some valuable visibility into your AWS account and the resources running there. In any system of reasonable size and complexity, however, the limitations of CloudWatch will quickly become apparent.
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By LogicMonitor
Worldwide, enterprises are racing to digitally reinvent themselves. In fact, 85 percent of enterprise decision makers believe they have a timeframe of two years to make significant inroads on their digital transformation before suffering financially and/or falling behind their competitors.
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By LogicMonitor
The ease of use and scalability of AWS makes it incredibly easy to build out new infrastructure and experiment with new services, but also causes difficulties in managing spend. This white paper focuses on AWS cost optimization best practices essential for a successful cloud migration.
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By LogicMonitor
This white paper will provide best practices for alert tuning to ensure the following outcomes: monitoring is in place to catch critical conditions, the right people are alerted, the amount of noise is reduced, and people are not needlessly woken up.
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By LogicMonitor
This list explores how SaaS solutions leverage modern technology to keep up with and provide crucial visibility into today's dynamic infrastructures
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LogicMonitor® is an automated, SaaS-based IT performance monitoring platform that provides the end-to-end visibility and actionable data needed to manage complex and agile IT environments. Our company is headquartered in Santa Barbara, California, with offices in Austin, Texas, London, China, and Singapore.
LogicMonitor provides hosted monitoring for the entire technology stack — storage, servers, networks, applications, virtualization, and cloud — in a single, unified solution. LogicMonitor includes built-in monitoring, alerting, and graphing for all devices found in the data center. LogicMonitor is changing the way IT infrastructure is monitored with its cloud-based, highly automated, and easy to deploy solution.
Automated hybrid infrastructure monitoring and analytics:
- Deploy Faster: SaaS architecture, no hardware & automated device discovery
- Monitor More: Pre-configured for on-premise, cloud, and hybrid IT infrastructure
- Empower Ops: Consolidate tools; IT teams access same data and troubleshoot faster
One platform. Endless possibilities.