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MuleSoft to Spring Boot migration: a practical checklist

5 min read

A concise checklist for migrating a single Mule 4 application to Spring Boot, in the order that keeps the work measured and reversible.

The checklist

  • Collect the inputs: the Mule application, its flows and DataWeave scripts, the connector configs, and the existing tests (Postman / MUnit).
  • Generate the Spring Boot project: @RestControllers for listeners, connector beans, translated DataWeave, a complete pom.xml.
  • Review the flagged items: recursive or highly dynamic DataWeave and any unsupported connector configuration should be flagged with the original preserved inline — resolve those by hand.
  • Validate parity: run the existing tests against both the Mule app and the converted app; compare every response field; score MATCH or MISMATCH.
  • Handle non-deterministic fields: timestamps and generated IDs are checked for shape and type, not exact value.
  • Cut over with the strangler pattern: run both side by side, shift traffic gradually, keep the Mule app until traffic is fully moved.
  • Decommission the Mule app and move to the next one.

What to watch for

  • JSON key order — use LinkedHashMap so object field order matches Mule.
  • Response buffer limits — raise WebClient's maxInMemorySize; Mule's HTTP requester has no default limit.
  • Null-safety — translate DataWeave's default with Optional or explicit null checks, not bare field reads.
  • Error semantics — make sure error types and on-error handling map to the equivalent Spring exception handling.

Prove it on your own code

Send us one Mule application and your Postman collection. We convert it and prove the Spring Boot output matches field-by-field — on-premise, inside your environment.