Error Tracking | Datadog
Error Tracking

Error Tracking

Monitor errors and crashes across web, mobile, and backend applications.

We can intelligently target issues that are more impactful and solve them quickly because we can understand the context of their occurrence.
Brian Gates

Brian Gates

Software Engineering Manager, Dollar Shave Club

We can intelligently target issues that are more impactful and solve them quickly because we can understand the context of their occurrence.
Brian Gates

Brian Gates

Software Engineering Manager, Dollar Shave Club

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.

2022 GARTNER® MAGIC QUADRANT™

Datadog has been recognized as a Leader in the Gartner® Magic Quadrant™ for APM and Observability

Get the full report

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
Automatically aggregate similar errors into issues

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

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
Error troubleshooting

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
Full stack visibility

Error Tracking supports 10+ languages and frameworks

APM

Java
Python
Ruby
Net
PHP
Golang
NodeJS
Cplusplus

RUM

JavaScript
TypeScript
Android

Resources