Watchdog Insights for Logs

Watchdog Insights for Logs


Datadog Log Management offers Watchdog Insights to help you navigate to the root cause of problems with contextual insights in the Log Explorer. Watchdog Insights complement your expertise and instincts by recommending outliers and potential performance bottlenecks impacting a subset of users.

Watchdog Insights for the Log Explorer is in beta. Access to this feature is provisioned to customers using Log Management. If you have feedback, contact Datadog support.

In this example, Watchog Insights identifies that the containerized Ruby application’s version:2.9.7 caused most of the errors observed in a given time range.

The Watchdog Insights banner appears in the Log Explorer results page and displays insights about the current query:

To see an overview of all insights, expand the Watchdog Insight banner:

To access the full Watchdog Insights side panel, click View all:

Every insight comes with embedded interactions and a side panel with troubleshooting information. The insight interactions and side panel vary based on the Watchdog Insight type.


Error outliers

One type of insight includes error outliers that display fields such as faceted tags or attributes containing characteristics of errors that match the current query. Statistically overrepresented key:value pairs among errors provide hints into the root cause of problems.

Typical examples of error outliers include env:staging, docker_image:acme:3.1, and

In the banner card view, you can see:

  • The field name.
  • The proportion of errors and overall logs that the field contributes to.

In the side panel card view, you can see the main log pattern of error logs with the field.

In the full side panel view, you can see:

  • The timeseries of error logs that contain the field.
  • Tags that are often associated with the error logs.
  • A comprehensive list of log patterns.

Further Reading