opentelemetry

Make black-box AI workflows observable with OpenTelemetry. This guide launches a local Collector, sets Bash env vars, and instruments a minimal Python generate step to emit spans with model, prompt hash, latency, and errors, with privacy via collector-side redaction. Learn patterns for multi-hop tracing, error handling, and sampling, plus next steps to ship to Jaeger/Tempo and track tokens/cost.

This article provides a detailed guide on using Jaeger and OpenTelemetry for distributed tracing in Linux, explaining setup steps and benefits. It's ideal for developers wanting to enhance observability and troubleshoot microservices architecture.