> ## Documentation Index
> Fetch the complete documentation index at: https://astronomer.io/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Event timeline

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.

## View the event timeline

1. In the Astro UI, click **Observe** > **Catalog** (**Asset Catalog** in the legacy UI).
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.

## 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.

## 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](/docs/astro/root-cause-analysis).
* **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

## Event types

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

### 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

### 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

### Failure events

Failure events indicate problems that require attention:

* **Alert notification**: An alert was triggered
* **SLA Breach**: An SLA requirement wasn't met
* **Task failure**: An Airflow task failed

## 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.