Feed Health Widget
The Feed Health widget displays a comprehensive table showing the health status of every configured data feed in your DataBee environment. It's one of the most important operational widgets — use it to quickly identify feeds that have stopped sending data, feeds in error states that need attention, and feeds with declining data volume trends.

Configuration
Click + Add Widget, select Feed Health, and click Next.

Field | Required | Description | Default |
Time Range | No | The period over which to calculate feed health trends. Affects the sparkline trend column. | Use Global |
Widget Name | Yes | A title for this widget. Appears in the widget header. | — |
The Time Range field controls the time window for data. Choose 'Use Global' to inherit the console's time range, or select a specific period (5 minutes to 1 month) to override it for this widget only.
Understanding the Feed Health Table
The table displays one row per data feed with the following columns:
Column | Description |
Name | The data feed name (e.g., 'CrowdStrike', 'AWS VPC', 'Azure AD'). Click to view feed details. |
Status | Current health: Healthy (receiving data normally), Warning (intermittent issues), Error (not receiving data), In Progress (initial setup), or Disabled (intentionally turned off). |
Owner | The user assigned as feed owner. Click to view their profile. |
Trend | A sparkline chart showing data volume over the selected time range. Declining trends may indicate issues. |
Last Data Seen | Timestamp of the most recent data received. Stale timestamps indicate the feed has stopped. |
Tip: Use the filter dropdown at the top of the table to show only feeds in a specific status — for example, filtering to 'Error' lets you quickly focus on feeds that need immediate attention.
Interactive Features
- Click on a feed name to navigate to the feed detail page where you can view ingestion metrics, mapping status, and configuration.
- Click on an owner name to view the user's profile and other feeds they own.
- Sort any column by clicking the column header.