- Updated: March 18, 2026
- 1 min read
End‑to‑End Tracing of the OpenClaw Rating API Edge Token‑Bucket Rate Limiter with OpenTelemetry
In this guide we walk developers through instrumenting the OpenClaw Rating API edge token‑bucket rate limiter using OpenTelemetry, exporting traces to popular backends, visualizing request flows, and troubleshooting latency issues.
Instrumentation with OpenTelemetry
First, add the OpenTelemetry SDK to your service and create spans around the rate‑limiting logic. Capture attributes such as rate_limiter.name, token_bucket.capacity, and token_bucket.refill_rate. Example code snippet…
Exporting Traces to Backends
Configure exporters for Jaeger, Zipkin, or Google Cloud Trace. Show sample configuration files.
Visualizing Request Flows
Use the chosen backend UI to view end‑to‑end request traces, filter by http.method and rate_limiter.status, and understand how requests traverse the rate limiter.
Troubleshooting Latency Issues
Identify slow spans, examine bottlenecks, and use metrics like latency and queue_time to pinpoint problems.
For more details on hosting OpenClaw, see the internal guide: Host OpenClaw on UBOS.