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Documentation Index

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The event timeline provides a chronological view of all events associated with an asset in Astro Observe. Use the event timeline to track asset activity, troubleshoot issues, and understand historical performance patterns.

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View the event timeline

  1. In the Astro UI, click Observe > Asset Catalog.
  2. Select an asset from the list.
  3. Click the Event Timeline tab.
The timeline displays a visual bar chart showing events over time, with a detailed event list showing timestamps, event types, and affected entities.

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Filter events

Use the filtering controls to narrow down the events displayed:
  • Run selection: Choose All Runs or select a specific run to view its events.
  • Time period: Select a time range and specify a date and time to view events before.
  • Event status: Filter by Success, Neutral, or Failure events. Click a status indicator to toggle that event type on or off.
  • Only final asset events: Toggle this option to show only events for final assets in your data product, excluding intermediate processing steps.
Click + filters to access additional filtering options:
  • All Event Groups: Filter events by event group.
  • Filter by namespace: Filter events by namespace.
  • Filter by DAG: Filter events by dag.
  • Filter by Data Product: Filter events by data product.
  • Filter by Deployment: Filter events by Deployment.

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View event details

Click any event in the timeline to open a side panel with detailed information about that event, including:
  • Event timestamp and metadata: Deployment name, DAG ID, Run ID, Owner
  • Root Cause: For failure events, view root cause analysis or generate an AI log summary to diagnose the failure. See Root cause analysis and AI log summaries.
  • Upstream Dependencies: View any upstream failures or anomalies that may have contributed to the event
  • Downstream Dependencies: See assets that depend on this asset, including Asset ID, Asset Name, and Asset Type

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Event types

Events are categorized by status to help you quickly identify issues and track successful operations.

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Success events

Success events indicate normal, expected operations:
  • SLA Success: An SLA requirement was met
  • Task Success: An Airflow task completed successfully
  • Task Start: An Airflow task began execution

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Neutral events

Neutral events represent data operations that don’t indicate success or failure:
  • Airflow dataset write: Data was written to an Airflow dataset
  • OpenLineage dataset write: Data was written and captured by OpenLineage

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Failure events

Failure events indicate problems that require attention:
  • Alert notification: An alert was triggered
  • SLA Breach: An SLA requirement was not met
  • Task failure: An Airflow task failed

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Understand the timeline visualization

The bar chart at the top of the timeline shows event distribution over time:
  • Green bars: Represent successful events
  • Red bars: Represent failed events
  • Gray bars: Represent neutral events
Taller bars indicate multiple events occurring in that time period. Use this visualization to quickly identify patterns, such as recurring failures or periods of high activity.