Find answers in your logs faster with Datadog’s Tap to Parse

Datadog’s Tap to Parse is an AI-assisted feature that converts values embedded in unstructured log messages into searchable structured attributes without requiring users to manually write regular expressions or Grok parsing rules. It analyzes sample logs, identifies stable patterns and variable fields, and generates a parser for review before use. In Log Explorer, it creates session-only calculated fields to help investigators quickly filter, group, and analyze events, such as identifying a payment provider responsible for checkout failures. In Log Pipelines, users can save generated Grok parsers to enrich future ingested logs with reusable attributes for searches, dashboards, and monitors. In Observability Pipelines, the feature can structure logs before they are sent to multiple destinations, helping teams maintain consistent fields across Datadog, archives, data lakes, and SIEMs. Tap to Parse is generally available in Log Explorer and Log Pipelines, while its Observability Pipelines support is available upon request.

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