Error Tracking

Datadog Error Tracking gives teams a logical framework for troubleshooting errors throughout their applications. Error Tracking reduces noise by grouping individual errors into issues, so teams can better assess their impact. Issues include relevant context, down to lines of code, which accelerates the resolution process and makes it easier to maintain service health while delivering a strong user experience.

Automatically aggregate similar errors into issues

Reduce noise by automatically grouping related errors into issues based on error type, error message, and stack trace
Follow issues over time to understand when they started, how they have evolved, and how often they are occurring
Zero in on specific subsets of issues with Datadog’s simple faceted search, which doesn't require knowledge of a query language

Get notified about the most pressing issues

Receive alerts when Datadog identifies new issues so you can be on top of any potential problems
Incorporate alerts into your existing workflow through integrations with notification tools such as PagerDuty and Slack

Get notified about the most important and time-sensitive errors.

Troubleshoot errors and identify their root cause

Investigate errors down to lines of code with un-minification of JavaScript stack traces and deobfuscation of Android crashes
Link error stack traces to the relevant source code through integrations with Github, Gitlab, Bitbucket, and Azure DevOps
Identify which version introduced an issue and utilize tags such as url and environment to understand where it is most prevalent

Get full-stack visibility through seamless correlation of frontend, backend, and mobile data

Leverage Error Tracking across RUM and APM data without additional instrumentation
Identify the source of frontend errors by navigating to backend traces and logs in a single click
Explore performance and error data for individual user sessions with Datadog RUM and Session Replay