Resource Modeling
Model business capabilities as resources and relationships.
Resource Modeling
Resource modeling turns business concepts into stable API nouns. Good resources reflect domain language, ownership, lifecycle, relationships, and client use cases.
Where This Fits
- Parent path: API Engineering Learning Path
- Module: REST API Design
- Previous step: REST Constraints
- Next step: URI Design
Key Ideas
- Treat the API as a long-lived contract, not only a controller or endpoint.
- Design for consumers, failure paths, observability, security, and future change.
- Keep behavior predictable across success, validation, conflict, retry, and authorization scenarios.
- Document decisions clearly enough that another team can consume the API without reading source code.
Design Checklist
- Define the consumer, business capability, and success criteria.
- Identify request fields, response fields, errors, status codes, and examples.
- Decide authentication, authorization, rate limits, idempotency, and audit needs.
- Consider latency, payload size, pagination, caching, and downstream dependency failures.
- Add logs, metrics, traces, correlation IDs, and useful dashboards before production release.
Common Mistakes
- Designing around database tables instead of consumer use cases.
- Returning inconsistent error shapes across endpoints.
- Ignoring retries, duplicate requests, and partial failures.
- Shipping without contract examples, monitoring, or backward-compatibility guidance.
Practical Outcome
After this lesson, you should be able to explain resource modeling in a design review, identify the trade-offs, and apply the concept to a production API.
Comments
Share a question, correction, or practical insight about this article.
Checking login status...
Loading approved comments...