// Topics / Rest
Rest
Definition
Rest coverage in this archive spans 6 posts from May 2016 to Mar 2022 and deals with structural tradeoffs: coupling, failure boundaries, and long-term change cost. The strongest adjacent threads are api, architecture, and versioning. Recurring title motifs include api, versioning, pick, and stop.
Key claims
- Most pieces recommend choosing the simplest architecture that can be operated confidently.
- Early posts lean on api and design, while newer posts lean on api and versioning as constraints shifted.
- This topic repeatedly intersects with api, architecture, and versioning, 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 architecture 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 2016 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): API Versioning: What Actually Works and What Doesn’t
- Finish with (foundational context): API Design Principles That Stand the Test of Time
Related posts
- API Versioning: Pick One and Stop Overthinking It
- I Tried Every API Versioning Strategy. Here’s the One I Actually Use.
- Your API Is a Contract You Can’t Take Back
- API Versioning: What Actually Works and What Doesn’t
- GraphQL vs REST: Pick the Boring One
- API Design Principles That Stand the Test of Time
References
6 entries tagged “Rest”