Operations | Monitoring | ITSM | DevOps | Cloud

OpenClaw Monitoring & Observability with OpenTelemetry and SigNoz

Learn how to implement monitoring and observability for OpenClaw systems using OpenTelemetry and SigNoz. In this video, we cover how to instrument OpenClaw, collect traces, metrics, and logs, and visualize everything in SigNoz for real-time insights into performance and reliability. You’ll see how to quickly identify bottlenecks, debug issues, and improve system stability in production.

Claude Agent SDK Monitoring & Observability with OpenTelemetry and SigNoz

Learn how to implement monitoring and observability for the Claude Agent SDK using OpenTelemetry and SigNoz. In this video, we walk through instrumenting your Claude-based agents, capturing traces, metrics, and logs, and visualizing everything in SigNoz for real-time insights. You’ll learn how to debug agent behavior, identify latency bottlenecks, and monitor performance in production environments.

Debugging AI Agents in Production Without Losing Your Mind

AI agents are powerful, but debugging them in production is hard. Non-deterministic behavior, LLM latency, and token costs create observability challenges that traditional monitoring tools don't address. In this webinar, engineers from Inkeep and SigNoz walk through how Inkeep monitors its AI agent framework in production using OpenTelemetry-native observability.

LLM app Observability: Opentelemetry as a standard

LLM observability is broken There are too many new libraries floating around, but they don't follow accurately the OpenTelemetry conventions. OTel isn’t perfect for LLMs yet—but extending a proven standard beats inventing another one. Why not use the same standard (OTel) which works so well for rest of the apps, and just work on top of it? This is what I was ranting with Pranav Raj S, co-founder at Chatwoot and we thought there must be other folks facing similar issues.