Design and ship a production-grade AI auto-tagging classification API: models, thresholds, architecture, evaluation, security, and scaling best practices.
A practical guide to API dependency management in microservices: contracts, versioning, resilience, testing, observability, and governance.
Build a production-ready AI meeting transcription API with streaming, diarization, summaries, and exports. Code samples and architecture included.
Instrument REST APIs with OpenTelemetry: traces, metrics, logs, context propagation, code examples (Node.js, Python, Java, Go), Collector, and best practices.
Practical blueprint for an AI content personalization API: architecture, endpoints, models, metrics, latency, and safety—built to scale.
A practical guide to API chaos engineering for resilient APIs: principles, experiments, tooling, metrics, and CI/CD automation with examples.
