Insights

Discover signals from automated analysis of log data

An Insight is a human readable explanation and quantification of behavioral signals generated from unsupervised analysis of enriched logs as part of the Data Pipeline. They are detected clusters defined by filters on Columns of log data that correspond to unique behavior.

Insights represent signals that the user can triage and refine through the Explorer or inspection of Logs and track as Metrics or Segments.

What to Expect

Typical insight volume: Most projects generate 5-20 new insights per week. Projects with stable, consistent behavior may generate fewer insights, while projects with volatile or rapidly changing behavior may generate more.

If you see no insights:

• DBNL requires at least 7 days of data to establish behavioral baselines

• Check the Status page to ensure pipeline runs are completing successfully

• Verify sufficient log volume (insights are more meaningful with hundreds of logs per day)

• Very stable systems with little variation may naturally generate fewer insights