Versioning

Definition

Versioning coverage in this archive spans 3 posts from May 2017 to Mar 2022 and deals with structural tradeoffs: coupling, failure boundaries, and long-term change cost. The strongest adjacent threads are api, rest, and architecture. Recurring title motifs include api, versioning, pick, and stop.

Key claims

• Most pieces recommend choosing the simplest architecture that can be operated confidently.
• The consistent theme from 2017 to 2022 is disciplined execution over hype cycles.
• This topic repeatedly intersects with api, rest, and architecture, so design choices here rarely stand alone.

Practical checklist

• Define failure domains and data boundaries before introducing additional services or protocols.
• Start with the newest post to calibrate current constraints, then backtrack to older entries for first principles.
• When boundary questions appear, cross-read api and rest before committing implementation details.

Failure modes

• Breaking systems into many parts without clear ownership of cross-service behavior.
• Choosing architecture for trend alignment rather than workload constraints.
• Applying guidance from 2017 to 2022 without revisiting assumptions as context changed.

Suggested reading path

• Start here (current state): API Versioning: Pick One and Stop Overthinking It
• Then read (operating middle): I Tried Every API Versioning Strategy. Here’s the One I Actually Use.
• Finish with (foundational context): API Versioning: What Actually Works and What Doesn’t

Related posts

• API Versioning: Pick One and Stop Overthinking It
• I Tried Every API Versioning Strategy. Here’s the One I Actually Use.
• API Versioning: What Actually Works and What Doesn’t

References

• The Twelve-Factor App
• Google SRE Book
• RFC 9110: HTTP Semantics