Error Handling
Return consistent, useful error payloads.
Error Handling
A good error contract includes a stable code, human-readable message, correlation ID, field-level validation details, and retry guidance where appropriate.
Where This Fits
- Parent path: API Engineering Learning Path
- Module: REST API Design
- Previous step: Idempotency
- Next step: File Upload
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 error handling in a design review, identify the trade-offs, and apply the concept to a production API.
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