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LM Logs offers a unique and unified approach to log analysis centered on algorithmic root-cause analysis. LM Logs analyzes log events to identify normal patterns and deviations from these patterns: anomalies. These log anomaly events are displayed in a Logs page and contextually with metric Alerts to help speed investigation.
We currently support sending log data to LogicMonitor via the LM Logs Ingestion API. You can send custom logs directly to the ingestion endpoint or use one of our provided integrations:
For information on how to send custom logs directly to the log ingestion endpoint, see Sending Logs to the LM Logs Ingestion API.
Note: When setting up logs ingestion, we recommend that you use the available filtering options to remove logs that contain sensitive information so that they are not sent to LogicMonitor.
Once logs are sent to LogicMonitor, they will be mapped to existing monitored resources based on information sent to the API. Anomalies will be detected automatically and displayed in the Logs page and as context of the metric alerts for these resources. See Reviewing Logs and Log Anomalies.
You can also configure log pipelines to define filters and other processing steps, such as alert conditions, on specific sets of logs. See Log Processing Pipelines and Log Alert Conditions.
If you are having issues setting up log ingestion or reviewing logs, check out the Troubleshooting guide for common issues. You can also find troubleshooting help for a specific integration in its setting up article listed under Getting Started.
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