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API versioning is the practice of exposing and managing distinct API contracts so clients can choose a compatible contract while the service evolves. You normally create a new version for a breaking change, keep compatible additions in the existing version, publish a migration path, and retire old versions under a stated deprecation policy.
Versioning lets a service add capabilities without unexpectedly breaking mobile apps, partner integrations, scripts, or other services that depend on its current behavior.
Why APIs need versions
An API is a contract between a service and its consumers. The contract includes endpoint names, parameters, request and response shapes, status codes, authentication rules, validation, and observable behavior. Microsoft’s REST guidance says APIs compliant with its guidelines must support explicit versioning because clients need stable services while teams add features and fix problems. Microsoft REST API Guidelines and the Azure Architecture Center both recommend preserving backward compatibility when possible.
Without a version boundary, a server change can make an older client fail at runtime. A version gives the client a predictable contract and gives the provider room to operate old and new contracts concurrently.
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What versioning protects
- Existing request and response formats used by deployed clients.
- Client assumptions about status codes, errors, authentication, and validation.
- Release coordination: consumers can migrate on their own schedule.
- Operational control: traffic can be measured by version before retirement.
The cost of supporting versions
Every concurrently supported version increases documentation, testing, monitoring, incident response, and implementation complexity. Azure specifically warns that multiple versions add developer, testing, and operational overhead. Keep the compatibility window long enough for real customers to migrate, but not open-ended by default.
What counts as a breaking API change?
A breaking change alters the contract or behavior in a way that can make an existing, previously valid client fail or behave incorrectly. Microsoft’s guidance and GitHub’s versioning documentation identify these common examples:
- Removing or renaming an endpoint, operation, request parameter, response field, or header.
- Adding a required parameter or changing a parameter or response type.
- Changing behavior, error codes, fault formats, or the meaning of an existing field.
- Adding validation that rejects values the old contract accepted.
- Removing an enum value.
- Changing authentication or authorization requirements.
- Violating a client’s reasonable expectation of least astonishment, even when the JSON shape appears unchanged.
These changes normally require a new major version. Microsoft’s REST guidance states that services must increment their version number after any breaking API change.
Usually non-breaking changes
Adding a new operation, an optional request parameter or header, a response field or header, or an enum value is generally additive. Document your compatibility rules, however: clients should ignore unknown JSON properties and tolerate unordered object members. An “optional” field can still be breaking if a client incorrectly assumes a fixed schema, so publish and test that expectation.
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There is no universal placement. Choose one convention for an API family and apply it consistently across services behind the same DNS endpoint. Evaluate URL stability, cache and routing behavior, client ergonomics, documentation, and how clearly you can communicate deprecation.
| Selector | Example | Strengths | Trade-offs |
|---|---|---|---|
| URL path | /v1/products |
Visible in logs, routers, documentation, and caches; easy to route to separate implementations. | Changes the resource URL; every link and client must select a path. |
| Query parameter | /products?api-version=1.0 |
Resource path can remain stable and the choice is explicit. | Every request must preserve the parameter; cache keys and gateway rules must handle it correctly. |
| Request header | X-GitHub-Api-Version: 2026-03-10 |
URLs remain stable and version metadata stays in request headers. | Less visible when copying a URL; clients, caches, and debugging tools must preserve the header. |
Microsoft documents both path and api-version query mechanisms. It recommends a path when a service cannot guarantee path stability. GitHub uses the X-GitHub-Api-Version header and documents a default for requests that omit it. Do not mix selectors casually: a family that uses paths for one service and headers for another creates avoidable client and gateway errors.
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Version naming schemes
Major-only paths
A path such as /v1 communicates that breaking changes move to /v2. It is simple for clients and routing, and it avoids a matrix of minor and patch combinations. Google Cloud Endpoints recommends a major version in the base path for breaking changes.
Semantic versions
Semantic versioning uses MAJOR.MINOR.PATCH. A major increment denotes breaking changes; minor versions add backward-compatible functionality; patches fix defects. Azure notes that clients generally should select only a major, or another meaningful compatibility level, rather than supporting every patch number.
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Date names, such as GitHub’s 2026-03-10, make the release point unambiguous and avoid arguments about what “v2” contains. They still need a written compatibility and retirement policy; a date alone does not define support.
How to choose
- Use major-only paths when simplicity and broad tooling compatibility matter most.
- Use semantic versions when clients genuinely need a stable minor feature set.
- Use dates when releases are calendar-driven and you want an explicit release identity.
Whatever scheme you choose, publish which changes trigger a new version and avoid forcing clients to select combinations you cannot test.
Designing a versioned API
- Write the contract. Define endpoints, parameters, types, errors, authentication, validation, and compatibility behavior in an OpenAPI document or equivalent specification.
- Define “breaking.” Include response fields, enum values, validation, authorization, headers, and behavior—not just URL changes.
- Select one selector. Put the version in every request contract and use one path, query, or header convention across the API family.
- Keep additions tolerant. Make new request inputs optional where possible and instruct clients to ignore unknown response fields.
- Automate compatibility tests. Run contract tests for every supported version against representative clients, including error and authentication cases.
- Publish changes. Provide changelogs, examples, migration notes, supported-version status, and exact deprecation and sunset dates.
- Measure usage. Record requests, errors, client identity, and version. Do not schedule shutdown until you know who still depends on the old contract.
How to deprecate v1 and move clients to v2
1. Build and publish v2
Document every breaking difference, replacement endpoint or field, behavioral change, and code example. State whether v1 and v2 share data and how consistency works during the transition.
2. Provide a migration path
Offer a mapping table from v1 inputs and outputs to v2 equivalents, a test environment, and client-library releases where appropriate. Identify changes that require application logic rather than a mechanical rename.
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3. Run both versions
Route v1 and v2 to implementations that can be monitored independently. If you use a gateway, enforce the same authentication, rate-limit, and audit rules unless the new contract intentionally changes them.
4. Announce deprecation
Publish the date deprecation begins, the planned retirement date, the support window, and the consequence of missing the deadline. Send targeted notices to identified v1 consumers.
5. Signal responses
For header-selected APIs, return Deprecation and Sunset headers as GitHub does when a closing date approaches. Include a documentation link or machine-readable detail in the response where your policy allows.
6. Monitor and assist
Track v1 traffic by client and endpoint, contact remaining users, and publish updated migration examples. Fix migration blockers rather than extending a deadline silently.
7. Retire clearly
After the published date, stop serving v1 consistently and return a clear error that points to v2. GitHub returns HTTP 410 after retirement. Keep the retired contract documentation available long enough for incident investigation and migration support.
How long should an old version be supported?
There is no universal period. GitHub’s current documentation promises support for the previous REST API version for at least 24 months after a new version is released. Microsoft Graph’s GA deprecated-element policy uses 36 months, or 24 months when demonstrated non-usage conditions are met. These differing policies show why your own API must publish its commitment, taking into account client release cycles, contractual customers, mobile-app update rates, security risk, and operational cost.
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State whether the period starts at announcement, general availability, or the replacement release. Define exceptions for security emergencies and explain how you will communicate them.
Testing and documenting version behavior
- Test old clients against the old contract and new clients against the new contract.
- Verify caches distinguish versions when the selector is in a query or header; emit the appropriate
Varyheader for header negotiation. - Test unknown fields, missing optional fields, enum handling, validation errors, authentication failures, pagination, and rate limits.
- Check generated SDKs and examples for the correct selector and default behavior.
- Capture representative documentation pages or rendered API consoles in CI so a broken deployment is visible before a version announcement.
Common versioning failures and fixes
Clients receive the wrong contract
Cause: a missing selector falls back to an undocumented default, or a proxy strips a header/query parameter. Fix: require an explicit version for sensitive operations, document the default, preserve selectors through gateways, and log the selected version.
A supposedly additive field breaks clients
Cause: a client deserializes a closed schema or treats an enum as exhaustive. Fix: make clients tolerant, test additive responses, and introduce a new version if the old ecosystem cannot be changed.
Cache pollution
Cause: a cache key omits the query or header that selects the version. Fix: include the selector in the cache key and configure Vary for header-based selection.
v1 cannot be retired
Cause: usage is not attributed to clients, or migration documentation misses behavioral differences. Fix: measure traffic by consumer, contact owners, publish concrete mappings, and set a date only after reviewing evidence.
Security changes are delayed
Cause: a compatibility promise keeps an unsafe authentication flow alive. Fix: reserve an emergency-security exception in the policy and communicate it explicitly; do not disguise a security break as a minor release.
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API versioning checklist
- Breaking changes and additive changes are defined in writing.
- One selector convention is used consistently.
- Supported versions, defaults, deprecation dates, and sunset behavior are public.
- Migration guides include behavioral and error-contract differences.
- Compatibility, cache, authentication, and validation tests run in automation.
- Usage is measured by version and consumer before retirement.
- Retired requests return a documented, actionable error.
Frequently Asked Questions
Is API versioning required for every API?
A version boundary is strongly advisable for any API with external or independently deployed clients. Microsoft’s REST guidance requires explicit versioning for APIs that comply with its guidelines, while private, tightly coordinated services may use another controlled compatibility strategy.
Can I version only breaking endpoints?
You can, but clients then need a clear rule for which resources use which contract. A single, consistently applied API-family convention is easier to document, route, test, and deprecate.
Should a version be included in an SDK package name?
It may be useful when SDKs must support incompatible contracts simultaneously, but the wire-level API still needs an explicit and documented selector or endpoint contract.
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