OpenTelemetry (OTel) in TypeScript: How It Works and How Langfuse Uses It
When a production system fails, the hardest part is often not the fix. The hardest part is knowing where to look. That is the real value of observability. A service without observability feels like a black box. Requests go in, responses come out, and when something breaks we start guessing. With useful telemetry, that black box becomes closer to a glass box: we can see request paths, slow dependencies, errors, queueing, retries, model latency, token usage, and the exact step where a workflow fell apart. ...