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Datadog Error Tracking
Simplified debugging
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Error Grouping
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.
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Issue Alerts
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.
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Root Cause Diagnosis
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.
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Full-Stack Visibility
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.