The Alert Details Page is accessed when a user clicks on a specific alert from the Alert Inbox. This page provides a consolidated view of the alert, with options to investigate, reinvestigate, and analyze detailed diagnostic data.

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🔍 What You Can Do on This Page

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1. View Investigation Summary

  • At the top of the page, users see the results of the most recent investigation.
  • This includes:
    • Tasks that were automatically or manually performed.
    • Agent insights and hypotheses.
    • Key metrics or logs analyzed during the process.

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2. Reinvestigate (Start Over with Better Context)

  • If the user finds the investigation insufficient or inaccurate, they can trigger a Reinvestigation.
  • Reinvestigation:
    • Re-runs the analysis using the same or improved alert data.
    • Users are encouraged to add relevant integrations (e.g., logs, metrics, infra APIs) to enrich context and improve results.
    • Can incorporate updated signals or environment state.

💡 Tip: Reinvestigation is most powerful when paired with comprehensive integration coverage.

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3. Continue Investigation (Pick Up from Previous Steps)

  • Users can choose to Continue Investigation if the existing investigation has helpful partial context.
  • Continuing allows:
    • Extending the diagnostic trail from the last agent action.
    • Adding custom tasks or questions for deeper insights.
    • Exploring the reasoning chain of the agent so far.

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4. Task Execution View

  • Each investigation consists of Tasks — discrete debugging or remediation steps (e.g., querying logs, checking CPU load).
  • For each task, users can view:
    • Command/query executed.
    • Source of data (integration used).
    • Agent-generated interpretation or anomaly detection.
    • Tasks are grouped and timestamped, helping users track progress.

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5. Data & Visualization Panels

  • Investigation tasks often return structured data (tables, charts, timelines).
  • Users can interact with this data directly in the Alert Details Page:
    • View logs, metrics, infra states.
    • Expand/inspect anomalies.
    • Correlate multiple datasets for better root cause understanding.

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🧠 Behind the Scenes

  • All investigations (initial, continued, or reinvestigations) are driven by DrDroid’s agentic reasoning engine.
  • The agent uses context from the alert metadata (e.g., datasource, affected service, triggering channel) to form hypotheses and take diagnostic steps.
  • Users can provide feedback to improve agent understanding and future investigations.