Designing a Real-Time AI Translation API: Architecture, Protocols, and Code
Design and implement a low-latency real-time AI translation API: architecture, protocols, latency budgets, security, and production-ready code examples.
Design and implement a low-latency real-time AI translation API: architecture, protocols, latency budgets, security, and production-ready code examples.
Design and implement REST API partial responses for speed and safety—syntax options, caching, security, and implementation patterns with examples.
Practical API semantic versioning: rules for MAJOR.MINOR.PATCH, rollout, negotiation, deprecation, and tooling for REST, GraphQL, and gRPC.
A practical guide to designing and implementing custom GraphQL directives with examples in TypeScript and Java.
Design, implement, and test REST API content negotiation: headers, q-values, media types, versioning, caching, and error handling with practical examples.
A practical guide to API observability with distributed tracing—OpenTelemetry, W3C Trace Context, sampling, correlation, and cost control you can operate.