Build end-to-end observability for AI agents: traces, metrics, logs, and evals to debug, govern privacy, and scale quality, reliability, and cost.
Instrument REST APIs with OpenTelemetry: traces, metrics, logs, context propagation, code examples (Node.js, Python, Java, Go), Collector, and best practices.
A practical guide to API observability with distributed tracing—OpenTelemetry, W3C Trace Context, sampling, correlation, and cost control you can operate.
A practical guide to structured API logging and observability: schemas, tracing, metrics, correlation IDs, pipelines, and cost-efficient practices.
A practical comparison of API monitoring and observability tools: categories, criteria, architectures, cost controls, and decision recipes.
