Error Tracking

Datadog Error Tracking reduces noise by intelligently grouping errors into issues across frontend and backend applications, so teams can better assess their impact and prioritize issues to focus on what matters. By providing rich debug context, down to lines of code, Error Tracking swiftly identifies the root problems, accelerating the resolution process and making it easier to minimize service downtimes and reduce user frustration.

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.

Identify the root cause of your errors down to the line of code

Link error stack traces to the relevant source code, identify which version introduced an issue, and reproduce errors with captured execution variable context
Uncover underlying problems with Watchdog, Datadog’s AI/ML engine, to find where errors are most prevalent
Identify mobile crashes with visibility into error rates, user behavior, devices and network conditions that cause problems

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

Leverage Error Tracking across RUM, APM, and Logs 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