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Datadog Error Tracking is a part of the Datadog observability platform that automatically aggregates and groups errors from your applications. It leverages AI to cluster millions of errors into actionable issues. The benefit is its integration with full-stack monitoring data. It targets enterprises and DevOps teams using Datadog. By correlating errors with infrastructure metrics, logs, and traces, it provides a holistic view of system health and helps pinpoint whether an error is caused by code, infrastructure, or a downstream service, speeding up root cause analysis.
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