Operations | Monitoring | ITSM | DevOps | Cloud

In this video, we’ll walk you through how to monitor Claude code activity using OpenTelemetry and SigNoz. You’ll learn how to instrument your usage, capture telemetry data, and visualize it with SigNoz to get better insights into your system performance. Whether you’re exploring observability for AI workloads or looking for an open-source solution to monitor your llm activity, this guide will help you get started.

This demonstration shows how to use the OpenTelemetry Transformation Language (OTTL) to transform, filter, and enrich telemetry in the OpenTelemetry Collector without changing application code. We walk through a sample Python application and OpenTelemetry configuration file, generate real traffic, and then analyze the results in Splunk Observability Cloud.

Missed it live? Catch the full recording of OpenTelemetry Deep Dive: Resilience & High Availability in the OTel Collector — a 1-hour workshop on building telemetry pipelines that never drop a signal. We’ll show you why resilience matters, how to design high-availability architectures, and how to configure the OpenTelemetry Collector with retries, batching, and persistent queues. Plus, you’ll see live demos in both Docker and Kubernetes — including scaling Gateway collectors with an HPA — and how Bindplane makes large-scale management seamless.

What even is a trace span?

The video discusses the advantages of using OpenTelemetry Collector over Sumo Logic's installed collectors for data collection and observability. It highlights key features and serves as a guide for organizations considering the transition to OpenTelemetry.

The video highlights the advantages of using OpenTelemetry Collector, emphasizing its scalability, flexibility, and cost-effectiveness.