Glossary

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Glossary / Evaluation and implementation guide

Forward Compatibility

Forward compatibility is the design posture for consuming someone else's evolving API. Schema evolution and versioning govern changes you control on your own contracts; forward compatibility governs changes the vendor ships that you do not.

A tolerant reader ignores unknown fields, applies default behavior for new enum values, and treats new event types as ignorable rather than fatal.

Marketing and CRM vendors ship API changes continuously, so integrations written strictly against today's schema tend to fail on the vendor's next release.

A practical example

Example: a custom connector maps lead records from a CRM.

When the vendor adds a new lifecycle-stage enum value, a tolerant reader routes it to a default path and logs it; a strict parser crashes the nightly sync instead.

What to evaluate before investing

  • Does the integration log unknown fields and enum values instead of discarding or crashing on them?
  • Does the vendor document its policy for adding fields and enum values without breaking readers?
  • Can you test the connector against a staged preview of the vendor's next API version?

Limitations and tradeoffs

Tolerant readers can silently misinterpret new values if defaults are wrong, and vendors may still make breaking changes outside additive ones, so forward compatibility reduces risk but does not eliminate monitoring.

Plan your next step with MeshLine

Connect this decision to your automation, organic marketing and customer lifecycle management. In a MeshLine demo, discuss your existing tools, the scope you need and how to measure the result.