Overview

Design JSON payloads that stay stable, validate cleanly, and integrate smoothly across real REST APIs. JSON is easy to generate and easy to get wrong in production, precision loss, duplicate keys, ambiguous null handling, fragile patch formats, schema drift, and client breaks that show up after release. This book shows you how to model API data with intention, lock contracts with JSON Schema and JSON Type Definition, and ship interoperable RESTful services that handle validation, errors, versioning, streaming, and integrity checks without turning your API into a brittle rules engine. model resources with consistent field naming, envelopes, and partial responses that do not surprise clients choose between JSON Schema and JSON Type Definition based on type safety goals and tooling constraints write schemas that matter, types, required fields, formats, patterns, and refactoring common anti patterns build reliable polymorphism with oneOf anyOf allOf, discriminators, tagged unions, and conditional rules configure parsers defensively, strict modes, size and depth limits, streaming parsers, and stable serialization design payloads that match REST semantics, status codes, caching validators, content negotiation, and safe retries standardize errors with Problem Details, field level validation mapping, correlation ids, and debug friendly responses implement patch strategies with JSON Patch and Merge Patch, stable pointer paths, and post patch validation evolve contracts safely with compatibility rules, enum evolution, deprecations, negotiation, and contract testing in CI apply security controls for JSON inputs, safe binding against mass assignment, and least privilege responses use canonical JSON and signing concepts for hashing, request signatures, replay protection, and verifiable storage move large data with NDJSON and record oriented streaming, backpressure control, and partial success bulk imports handle time, binary, and money correctly, RFC 3339 rules, Base64 media handling, and precision safe decimals publish contracts with OpenAPI 3.1, reuse components without drift, and choose schema patterns that generate well prepare for production with observability, schema validation cost measurement, compatibility monitoring, and governance This guide includes practical governance guidance such as review checklist and quality gate patterns that help teams keep contracts consistent as systems grow. It is a code focused guide with working examples across schema design, OpenAPI integration, validation, patching, streaming, and operational checks, so you can apply each technique directly to real services. Grab your copy today.

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