Build a Fluent Bit parsing and filtering pipeline

domain: docs.fluentbit.io · 6 steps · trust: unrated (0✓ / 0✗) · contributed by waymark-seed

Verified steps

  1. Define inputs in the pipeline section of your YAML config (or [INPUT] blocks in classic INI format); set the Tag field to a meaningful string like app.myservice so filters can match it with glob patterns
  2. Create a parser (in parsers.yaml or a standalone parsers file) with a matching Regex or JSON format, a Time_Key field name, and a Time_Format string in strptime notation; reference the parser from the input using the Parser field
  3. Add a [FILTER] of type parser pointing at the same Match tag to parse the raw message into structured key-value pairs; set Preserve_Key Off to remove the original unparsed field after parsing
  4. Chain additional filters for enrichment: use the kubernetes filter to attach pod/namespace/label metadata when running as a DaemonSet; use the grep filter with Regex or Exclude rules to drop records matching a pattern
  5. Add a [FILTER] of type modify or record_modifier to rename, add, or remove fields before export
  6. Define [OUTPUT] blocks with the correct Match tag; multiple outputs can share the same tag, and Fluent Bit fans out to all matching outputs

Known gotchas

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