Feed Health

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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.

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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.
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