Log Patterns

In today’s IT environments, massive amounts of logs are generated daily, creating overwhelming noise. Log Patterns in LM Logs helps you cut through the noise by detecting trends, automatically grouping recurring log messages, and highlighting their frequency. Use Log Patterns to organize similar log entries to focus on raw logs, anomalies, and outliers that could indicate the root cause of issues. High-frequency logs often serve as background noise, while low-frequency logs may reveal key triggers or incidents. This makes Log Patterns a powerful troubleshooting tool, reducing Mean Time to Resolution (MTTR) and improving operational efficiency.

Log patterns represent a condensed view of raw log event data. Log profiles are stored internally for every resource, and contain information about structure, counts and time of first match. The profiles are used for both Log Pattern functionality as well as Log Anomaly detection.  Logs that don’t match a profile are flagged as an anomaly, see Log Anomaly Detection. Log patterns allows you visibility into these log profiles and are helpful when investigating issues as they let you break down profiles with the same structure, but different parameters.

Log patterns has the following features:

• Automated Log Grouping – Organizes similar log entries, cutting down noise and making trends and outliers easy to identify.
• Pattern-Based Filtering – Filters logs by recurring patterns instead of individual lines, highlighting rare logs to identify potential issues.
• Faster Troubleshooting & MTTR Reduction – Helps teams focus on uncommon logs, speeding up root cause analysis and detecting issues early.

By leveraging Log Patterns, you can streamline your log analysis, detect early warning signs of issues, and significantly reduce incident response times.

Log Patterns Use Cases

Log Patterns represents a major evolution in log intelligence within LM Logs, providing MSPs, IT teams, and engineers with a simpler, faster, and more efficient way to surface insights from massive log volumes. For customers struggling with log noise, troubleshooting delays, or excessive log costs, this feature delivers immediate, tangible benefits—making it an essential tool for any organization leveraging LM Logs at scale. The following are some of the Log patterns use cases:

• Efficient issue troubleshooting in Alerts – In any LM alert with logs, use the Logs tab to filter and highlight rare messages. This helps teams focus on potential issues while ignoring common noise, making troubleshooting faster and more effective. Example: A rare log appearing just before an incident could reveal the root cause.
• Managing Log Overages and Costs – Exceeding log limits can lead to unexpected costs. Instead of disabling logs entirely, Log Patterns helps filter out unnecessary recurring logs, reducing ingestion without losing critical visibility. You can use the Logs tab on a Resource or the Logs Homepage to optimize costs efficiently.
• Anomaly Review & Log Hygiene – Many teams review logs weekly to keep them clean and error-free. Log Patterns helps by:
  • Identifying if an anomaly has become a recurring log
  • Confirming when an issue is resolved and no longer appears
    Note: Alerts highlight outliers in triggered events, while the Resource Tree and Logs Homepage support broader proactive analysis.

Accessing Log Patterns

You can access Logs Patterns feature from Alerts and from Resource Tree.

From Alerts, do the following:

1. In LogicMonitor, go to Alerts, and select the alert you want.
2. From the alert details panel, select the Logs tab.
   
3. Toggle the Show as Patterns switch to view logs in pattern.

From Resource Tree, do the following:

1. In LogicMonitor, go to Resource Tree, and select the resource or resource group you want.
2. From the resource details panel, select the Logs tab.
   
3. Toggle the Show as Patterns switch to view logs in pattern.

4. To view the query profile of the log pattern, select the more menu, and then select Query profile.
   
   The selected query is displayed in a new window.