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Insights

The Insight Engine automatically analyzes actively ingested logs to detect critical patterns, anomalies and emerging risks that may otherwise go unnoticed.

When to use Insights​

  • During incidents to quickly identify high-impact failure patterns
  • Post-incident to understand recurring issues and systemic weaknesses
  • Proactively to detect emerging anomalies before they escalate

insights

What Insights Provide​

Each insight includes:​

  • Pattern summary describing the detected issue

  • Severity classification (Critical, High, Medium, Low)

  • Impact score indicating potential system or service impact

  • Affected dataset and category (e.g., network, resource exhaustion)

  • Pattern logs and sample size for quick validation

  • Hypothesis suggesting a likely cause based on observed behavior

  • Activity timeline showing when the pattern occurred

insights

Steps to Use​

  1. Open the Insights section from the left navigation.

  2. Select the relevant dataset(s) and time range to scope the analysis.

  3. Review the Pattern Trends chart to understand how detected patterns evolve over time.

  4. Use severity grouping (Critical, High, Medium, Low) to quickly identify high-impact periods.

  5. Apply severity filters to focus on the most important issues.

  6. Click on an insight card to view detailed context, including impact score, affected dataset, pattern logs, and sample size.

  7. Review the hypothesis to understand the likely cause inferred by the system.

  8. Use the activity timeline to correlate patterns with events.

  9. Validate findings by inspecting sample logs associated with the pattern by clicking on the dataset section.