Why version a data contract?
A contract is useful only if consumers know which expectations apply. Updating a schema in place can change the meaning of past validation results and unexpectedly break integrations. Versioning gives producers and consumers a shared migration boundary.
Define compatibility from the consumer's perspective
Removing a field that a consumer requires is breaking. Adding an optional field may be safe. Expanding an enum can still break exhaustive switch statements. Evaluate changes against real consumers rather than relying on a simplistic 'additive is always safe' rule.
Keep old versions available during migration
Publish the proposed version, test it against representative payloads and consumers, and announce a transition period. Pin critical workflows to a known contract while teams update. Avoid deleting old versions until usage and rollback needs are understood.
Automate compatibility checks
In CI, compare the old and new schemas, run example payloads through both, and flag risky changes for review. Store version identifiers with validation outcomes so an incident can be reproduced. Human review is still necessary for semantic changes that schemas cannot express.
Prepare rollback and deprecation
A rollback plan should identify which producer release and consumer versions are compatible. Track consumers still using an old contract. Deprecation notices should specify the impact, deadline and supported migration path.
Using Zorqelio
Zorqelio provides private versioned JSON contracts and deterministic validation decisions. Its data contracts overview explains the product approach; the documentation covers supported APIs.
For implementation details and current capabilities, consult the Zorqelio documentation. Technical examples are illustrative and should be tested against your own policies and supported schema dialect.