protobuf-schema-evolution

To prevent silent data corruption during protobuf schema evolution, you must enforce reserved field numbers and names. This ensures deprecated fields are not reused accidentally, maintaining wire compatibility across serialized versions.

Aligning protobuf wire contracts between Rust and Kotlin requires enforcing schema version governance and diagnostics symmetry. This verifies that both platforms serialize and deserialize messages identically across versions.

Running a protobuf migration checklist involves updating proto definitions and regenerating golden fixtures. This process validates schema version alignment and tests compatibility to ensure safe AppSettings and diagnostics migrations.

Reserved field numbers and names in protobuf prevent field collisions during schema evolution. Without reservations, reusing a deprecated field number causes silent data corruption because older clients misinterpret the new serialized bytes.

Yes, you can verify protobuf schema compatibility using golden fixtures and tests. This method validates wire contracts by comparing serialized outputs against known-good fixtures, ensuring safe migration workflows.

Yes, this protobuf schema evolution approach supports AppSettings migration workflows. It governs schema versions and defaults, ensuring that application settings serialized as protobuf remain readable across updates.