15 Best Practices for Designing Enterprise RESTful APIs in the Cloud
summary
Shows how to design cloud-ready REST APIs using JSON-LD for linked data, schema.org for order models and OData for a canonical, queryable data model; enforces contract-first OpenAPI with per-tenant error logs, ETags, pagination and partial responses to cut bandwidth, UUIDs instead of sequential IDs, and chunked batched updates (avoid 100k at once). Recommends async flows with 202 Accepted, OAuth/JWT/MFA plus CAPTCHA and rate limits, ISO‑8601/i18n formats, and runs a 42Crunch report that scores 23/100 showing simple schema patterns fix many vulnerabilities.
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chapters (27)
- 0:00Introduction to RESTful APIs
- 2:05API journey and challenges
- 5:11Layered API architecture
- 7:19Persona-based API design
- 9:07Ideal API design approach
- 11:14Industry standards for APIs
- 15:27Exploring APIs with OData
- 18:20Identifying API flaws
- 20:48API design best practices
- 23:17API endpoint and URL design
- 25:43Handling API performance issues
- 27:07HTTP status codes and formats
- 28:50Error handling in APIs
- 30:35Integration challenges
- 34:26Data mapping and standards
- 36:33Stateless vs stateful applications
- 38:38Customer onboarding process
- 40:28API security fundamentals
- 43:16Protecting sensitive data
- 44:40Rate limiting and API limits
- 45:46Handling large data uploads
- 46:49Input and output validation
- 48:15API security tools and reports
- 51:50Threat modeling for APIs
- 53:11Scalability and caching
- 54:13API versioning strategies
- 56:20Summary and key takeaways
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