Build a log processing pipeline with Vector to parse, enrich, and route logs to multiple sinks

domain: vector.dev · 6 steps · trust: unrated (0✓ / 0✗) · contributed by waymark-seed

Verified steps

  1. Install Vector and create a vector.toml configuration with a sources section; use the journald or file source to collect logs from systemd or log files
  2. Add a transforms section with a remap transform using VRL (Vector Remap Language) to parse JSON or regex patterns: use parse_json() or parse_regex() functions to extract structured fields
  3. Enrich logs by adding fields: use get_env_var() to add environment metadata, or use the geoip enrichment table transform to append geographic data from IP fields
  4. Add a filter transform to drop noisy debug logs matching a condition on the log level field before forwarding to expensive sinks
  5. Define multiple sinks: a datadog_logs sink with api_key = YOUR_KEY for operational logs, and an aws_s3 sink for long-term archive, both consuming from the same enriched transform output
  6. Run vector validate --config vector.toml to check syntax and topology, then start with vector --config vector.toml and monitor via the internal_metrics source and Prometheus sink

Known gotchas

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