Anthropic Monitoring & Observability with OpenTelemetry and SigNoz

Learn how to implement end-to-end monitoring and observability for Anthropic (Claude) API-based applications using OpenTelemetry and SigNoz. In this video, we walk through instrumenting your Anthropic API calls, collecting traces, metrics, and logs, and visualizing everything in SigNoz to gain real-time visibility into performance, failures, and bottlenecks. You'll see how to move from basic logging to production-grade observability, so you can debug faster, optimize latency, and confidently run Claude-powered AI systems at scale.

We'll also cover the prebuilt Anthropic API Dashboard in SigNoz, which provides specialized visualizations for token consumption, model distribution, error rates, request volumes, and P95 latency trends out of the box.

More about SigNoz:

SigNoz: Monitor your applications and troubleshoot problems in your deployed applications, an open-source alternative to DataDog, New Relic, etc. Backed by Y Combinator.

SigNoz helps developers monitor applications and troubleshoot problems in their deployed applications. SigNoz uses distributed tracing to gain visibility into your software stack.

SigNoz website: https://signoz.io

SigNoz Github repository: https://github.com/SigNoz/signoz

You can find the official LLM documentation here: https://signoz.io/docs/llm-observability/

SigNoz Anthropic Docs: https://signoz.io/docs/anthropic-monitoring/

Anthropic API Dashboard: https://signoz.io/docs/dashboards/dashboard-templates/anthropic-dashboard/

Come say Hi to us on Slack: https://signoz.io/slack

If you need any clarification or find something missing, feel free to raise a GitHub issue with the label documentation or reach out to us at the community slack channel.