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Datadog Log Processor Pipelines let you parse, enrich, and keep raw logs intact. This article walks through a concrete Nginx example, shows how to build a Grok pipeline, verifies it, and discusses CPU trade‑offs and fallback strategies.
Step‑by‑step guide to ingest‑time parse custom logs, map reserved fields, and verify results in Datadog, with rollback options.
When parsing structured logs in Logstash, deciding between Grok and Dissect hinges on format stability, performance, and complexity. This guide compares both, presents trade‑offs, and shows a concrete Dissect pipeline with validation steps.
datadog
logstash