Turn Log Management Into Log Intelligence
Correlate metrics, logs, and traces with contextual events automatically. Surface anomalies cut noise, and get to root cause faster—no query language or context switching required.
When logs are easy to search, filter, and connect to everything else, teams troubleshoot faster, resolve issues earlier, and stay focused on what matters
Resolve incidents with less chaos
Teams fix problems faster when log data, metrics, and alerts are already connected—no context switching, no dead ends.
Prevent small issues from becoming big ones
Real-time insight into patterns and anomalies helps you catch problems early and avoid costly escalations.
Keep your team focused on what matters
You won’t waste time chasing false alarms or digging through noise. Just see clear signals when something needs action.
Strengthen collaboration across Dev, Ops, and Sec
When everyone works from the same log data in one platform, silos shrink and handoffs get smoother.
Control log costs without sacrificing clarity
You don’t need to ingest everything—just the logs that matter most, stored and routed where they add value.
Stay prepared for whatever comes next
Whether it’s an outage, an audit, or an investigation, you’ll always have the log data you need—no scrambling, no gaps.
OBSERVABILITY POWERED BY LOGICMONITOR ENVISION AND EDWIN AI
Everything you need to go from logs to answers fast
LM Envision’s Logs connects the dots between your logs, metrics, and alerts in real time—no context switching, no query language, no waiting. With built-in anomaly detection, pattern recognition, and automated log analysis, you can reduce noise, eliminate blind spots, and troubleshoot faster in a single platform.
Monitor
Investigate
Detect
Customize
Correlate
Catch unusual behavior before it turns into real problems
Automatically highlight never-before-seen log events and behaviors, so you can act on the early signs of an issue before it spreads.
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See anomalies in real time Dynamic detection surfaces new patterns and deviations across devices, apps, and services.
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Act before users feel it Anomaly detection adapts over time and flags unexpected behaviors specific to each resource.
Explore patterns and anomalies in your log data
Search, filter, and visualize log activity across applications, services, and infrastructure—no query language required. Spot trends, track unusual behavior, and investigate changes over time with ease.
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Dig into behavior across systems Identify spikes, outliers, or repeating errors across services, hosts, or containers—without sifting through raw logs.
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Understand how issues evolve Track changes in log volume or severity over time to catch problems before they escalate.
Find the signal in the noise
Automatically group similar events and highlight what’s different, so you can focus on what’s new, not just what’s loud.
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Group recurring messages automatically Pattern-based filtering reduces mental load and lets you filter by what’s unique, not just what’s common.
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Cut alert fatigue at the source Cut cost-driving noise while still catching the logs that matter.
Tune ingestion to your environment—not the other way around
Use Cribl pipelines, log filters, and partitions to fine-tune which logs are ingested, how long they’re kept, and where they’re stored.
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Control cost without sacrificing visibility Set volume caps, retention periods, and filtering rules by source, severity, or content.
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Use Cribl to route, deduplicate, and format Optimize ingest with pre-filtering and transformation before logs ever hit LM Envision.
Connect logs to metrics, alerts, and root cause
Bring log data into context by linking it to alerts, metrics, and the infrastructure it impacts. Automatically map events to monitored resources, so you can stop guessing and start fixing.
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See the full picture behind every issue Logs are enriched with resource metadata and alert context, so you know what happened, where, and why.
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Keep every team aligned with shared context Dev, Ops, and Engineering work from the same timeline—reducing confusion, escalations, and delays.
INTEGRATIONS
Integrate logs from anywhere
LM Logs plays well with the tools you already use—forwarders, cloud services, SIEMs, and more. Route, transform, and enrich logs before ingestion, or stream directly into LM Logs from any source with an API, syslog, or Fluent Bit pipeline.
1,000+
log sources supported
↑60%
ingest reduction with Cribl
AI AGENT FOR ITOPS
Let Edwin AI tell you what’s wrong
Edwin AI doesn’t just ingest your log data—it understands it. With built-in anomaly detection, log sentiment scoring, and guided investigation, Edwin flags what’s new, what’s risky, and what’s worth your attention before you even ask.
67%
ITSM incident reduction
88%
noise reduction
"Capital Group has 1,000+ alerts/ day. LogicMonitor will eliminate that noise."
"LogicMonitor helps us succeed by being a true partner."
"Edwin AI cut noise by 90% & ITSM incidents by 76%, enabling better customer service."
"The single pane of glass across all of our regions enables us to act more proactively."
"Edwin AI delivered value within an hour of implementation."
"LogicMonitor is a valuable partner, constantly innovating and adapting to our business needs."
What teams unlock when logs are connected, not siloed
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faster troubleshooting
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time savings
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noise reduction
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less expensive
GET ANSWERS
FAQs
Get the answers to the top log monitoring, log management, and log analysis questions.
How hard is it to get started with LM Logs?
It’s surprisingly simple. LM Logs works out of the box with syslog, Fluent Bit, Fluentd, cloud sources like AWS CloudWatch and Azure Monitor, and more. You can start ingesting logs in minutes using LM Envision’s built-in collectors, or route logs via Cribl or the API for advanced control.
Do I need to know how to write queries?
Nope. LM Logs surfaces log anomalies, patterns, and insights automatically. You can drill down, correlate with metrics, and filter all without query language knowledge. For advanced users, our query bar supports regex, saved searches, and tracked queries, but they’re completely optional.
Can I control which logs are ingested (and how much I store)?
Absolutely. You can filter logs before ingestion using Cribl or Fluent Bit, route specific sources to different partitions, and set retention by log type. LM Logs gives you full control to reduce noise and manage cost without sacrificing visibility.
How are logs mapped to monitored devices?
Logs are automatically enriched and mapped to your monitored resources using hostname, IP, or device properties. This mapping powers our in-context troubleshooting workflows, so alerts, metrics, and logs show up together where they matter most.
Do I need a dedicated logging team to get value from LM Logs?
Not at all. LM Logs is built for ITOps teams of any size or skill level. With anomaly detection, guided log analysis, and intuitive workflows, even junior responders can investigate issues confidently. And for power users, the platform scales with advanced search, alerting, and integrations when you’re ready.