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Backward Compatibility and Versioning

Design systems that evolve safely without breaking users and manage versions with semantic clarity.

TL;DR

Version your code, APIs, and data formats. Use semantic versioning: MAJOR.MINOR.PATCH. PATCH for bug fixes, MINOR for backward-compatible features, MAJOR for breaking changes. Maintain backward compatibility as long as possible—breaking changes force users to upgrade immediately. When breaking changes are unavoidable, deprecate old interfaces first, giving users time to upgrade. Document breaking changes clearly in release notes. Version your data formats: schema changes can break consumers. Plan for multiple versions coexisting in production during migration periods. Backward compatibility is a commitment to your users.

Learning Objectives

  • Understand semantic versioning and its implications
  • Design APIs that age gracefully with new versions
  • Implement deprecation cycles that give users time to upgrade
  • Distinguish between breaking and non-breaking changes
  • Manage data schema evolution across versions
  • Document changes clearly to guide user upgrades

Motivating Scenario

A company releases their service API, and customers integrate it. Six months later, the API team decides to rename a parameter from user_id to userId for consistency. They release version 2.0 with this change. Every customer application breaks immediately. Support is flooded, customers scramble to update, some blame the service for the disruption. The service team could have avoided this: support both names in the new version, deprecate the old one, and provide a migration timeline. Customers would have time to update gradually.

Core Concepts

Semantic Versioning

MAJOR version for incompatible changes. MINOR version for backward-compatible features. PATCH version for bug fixes. This signals to users the effort required to upgrade.

Backward Compatibility

Code that depends on your API should work with new versions without changes. Add features without removing old ones. Rename with aliases, not replacements. Support multiple formats when schema changes.

Deprecation Cycle

When you must remove something, warn first. Mark features as deprecated, document the timeline, offer migration paths. Give users time (typically 6+ months for major changes) before removing old code.

Data Version Management

Data schemas change. New fields are added, fields are removed, structures change. Version your data formats or maintain migration logic to handle multiple versions coexisting.

Practical Example

# ❌ POOR - Breaking change without deprecation cycle
# v1.0
def get_user(user_id):
return User.find(user_id)

# v2.0 - breaks all existing code
def get_user_by_id(user_id):
return User.find(user_id)

# ✅ EXCELLENT - Graceful evolution with deprecation
import warnings
from typing import Optional

# v1.1 - New function added, old one still works
def get_user_by_id(user_id: int):
"""Get user by ID. Preferred method."""
return User.find(user_id)

def get_user(user_id: int):
"""Get user by ID. DEPRECATED: Use get_user_by_id() instead."""
warnings.warn(
"get_user() is deprecated, use get_user_by_id() instead",
DeprecationWarning,
stacklevel=2
)
return get_user_by_id(user_id)

# v1.2 - Support both old and new parameter names
def create_payment(amount: float, user_id: Optional[int] = None,
userId: Optional[int] = None) -> Payment:
"""Create payment. Both user_id and userId are supported."""
if userId is not None and user_id is None:
warnings.warn(
"userId parameter is deprecated, use user_id instead",
DeprecationWarning,
stacklevel=2
)
user_id = userId

if user_id is None:
raise ValueError("user_id is required")

return Payment.create(amount=amount, user_id=user_id)

# v2.0 - Major version: old function finally removed
def get_user_by_id(user_id: int):
"""Get user by ID."""
return User.find(user_id)

# API versioning
class APIResponse:
"""Response wrapper with version info."""
def __init__(self, data, version="1.0"):
self.data = data
self.version = version
self.timestamp = datetime.now()

def to_dict(self):
return {
"data": self.data,
"version": self.version,
"timestamp": self.timestamp.isoformat()
}

# Multiple API versions coexist
from flask import Flask, request

app = Flask(__name__)

@app.route('/api/v1/users/<int:user_id>')
def get_user_v1(user_id):
user = User.find(user_id)
return APIResponse({
'id': user.id,
'name': user.name,
'email': user.email
}, version="1.0").to_dict()

@app.route('/api/v2/users/<int:user_id>')
def get_user_v2(user_id):
user = User.find(user_id)
return APIResponse({
'id': user.id,
'name': user.name,
'email': user.email,
'created_at': user.created_at, # New field in v2
'status': user.status # New field in v2
}, version="2.0").to_dict()

Deprecation Patterns

Deprecation Timeline

// v1.5 - Feature deprecated, announced end-of-life
// December 1, 2024: Feature deprecated
// June 1, 2025: Feature removed (6-month notice)

function oldFeature() {
console.warn(
'oldFeature() is deprecated and will be removed on June 1, 2025. ' +
'Migrate to newFeature() immediately.'
);
return newFeature();
}

// v2.0 - Feature removed (June 1, 2025)
function newFeature() {
// oldFeature() no longer exists
}

Supporting Multiple API Versions

// Both v1 and v2 endpoints can coexist
app.get('/api/v1/resource', handleV1);
app.get('/api/v2/resource', handleV2);

function handleV1(req, res) {
const data = getData();
res.json({
items: data.map(item => ({
id: item.id,
name: item.name
}))
});
}

function handleV2(req, res) {
const data = getData();
res.json({
items: data.map(item => ({
id: item.id,
name: item.name,
created_at: item.createdAt,
metadata: item.metadata
})),
total: data.length
});
}

Version-Aware Response

const VERSION_MAPPING = {
'1.0': (user) => ({ id: user.id, name: user.name }),
'2.0': (user) => ({ id: user.id, name: user.name, email: user.email }),
'2.1': (user) => ({ id: user.id, name: user.name, email: user.email, status: user.status })
};

function getUser(userId, version = '2.1') {
const user = users[userId];
const formatter = VERSION_MAPPING[version] || VERSION_MAPPING['2.1'];
return formatter(user);
}

Design Review Checklist

  • Are you using semantic versioning (MAJOR.MINOR.PATCH)?
  • When making changes, have you considered backward compatibility?
  • Are breaking changes absolutely necessary or can they be delayed/mitigated?
  • Do you deprecate interfaces before removing them?
  • Is the deprecation timeline documented (when will feature be removed)?
  • Are multiple API versions supported during migration periods?
  • Is the versioning scheme documented for users?
  • Are migration guides provided for significant changes?

Self-Check

  1. Identify a feature you want to remove from your system. Design a deprecation cycle for it.

  2. How would you handle changing a required parameter in your API while maintaining backward compatibility?

  3. What would happen if two versions of your application simultaneously accessed the same database? Are schema changes safe?

One Takeaway

Breaking changes are costly—they force users to update immediately and create support burdens. Instead, plan for evolution: add new features alongside old ones, deprecate before removing, and provide migration time. Multiple API versions coexisting in production is normal and valuable. Backward compatibility is not a feature—it's a commitment to stability and respect for your users.

Next Steps

References

  1. Semantic Versioning. (2024). Retrieved from https://semver.org/
  2. Humble, J., & Farley, D. (2010). Continuous Delivery: Reliable Software Releases through Build, Test, and Deployment Automation. Addison-Wesley.
  3. Fielding, R. T. (2000). Architectural Styles and the Design of Network-based Software Architectures. UC Irvine Dissertation.
  4. Newman, S. (2015). Building Microservices. O'Reilly Media.