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Insights

The Insight Engine shifts log analysis from manual searching to guided investigation, enabling faster RCA, reduced noise, and more confident decision-making at scale

It automatically analyses a sampled stream of actively ingested logs to detect meaningful patterns that may indicate system issues, anomalies, or emerging risks. It groups similar log events, evaluates their severity and impact, and surfaces actionable insights with contextual information such as affected datasets, time windows, pattern frequency, and inferred hypotheses.

By reducing raw log noise and highlighting high-impact patterns, the Insight Engine helps engineers quickly understand what is happening, where it is happening, and why it matters—without manually searching through large volumes of logs.

insights

What Insights Provide​

insights

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

Steps to Use​

  • Open the Insights section from the left navigation.

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

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

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

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

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

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

  • Use the activity timeline to correlate patterns with deployments, traffic changes, or other system events.

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

What Insights Provide​

  • 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