Multi-destination routing

Fan-out governed data without duplicating pipelines

The build overview explains that each job captures one input and one output; worker channels stitch jobs together so you can fan-out governed payloads to any combination of destinations.

Challenges we hear

  • • Each job in Lyft Data has exactly one input and one output, so teams often chain collectors or duplicate pipelines when they need fan-out.
  • • Routing to multiple destinations with bespoke scripts introduces drift between tools and complicates governance.
  • • Swapping vendors requires refactoring agents and redeploying collectors across environments.

How LyftData helps

  • • Worker channels let you branch jobs without brittle glue code, keeping every destination aligned with the same policy.
  • • Jobs describe the actions applied to data, so masking, enrichment, and filtering stay consistent across sinks.
  • • LyftData is a neutral control plane-connect sources once and direct outputs to any documented destination via connectors.

Docs to explore

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