Operations | Monitoring | ITSM | DevOps | Cloud

Learn how to implement end to end monitoring and observability for GitHub Copilot Chat using OpenTelemetry and SigNoz. In this video, we walk through enabling the OpenTelemetry exporter built into the Copilot Chat extension in VS Code, collecting a trace for every agent turn, and visualizing everything in SigNoz to gain real time visibility into model calls, tool executions, token usage, prompt cache savings, latency, and failures. Copilot Chat ships its own OTLP exporter, so there is no instrumentation library to install and no collector to run.

Learn how to implement end to end observability and monitoring for Grok Build, xAI's terminal coding agent, using OpenTelemetry and SigNoz. In this video, we walk through turning on Grok Build's native OpenTelemetry exporter, collecting metrics and structured session events, and visualizing everything in SigNoz to gain real time visibility into token usage, sessions and turns, tool calls and their outcomes, error categories, and startup latency. Grok Build ships its own exporter, so instrumenting it is a matter of configuration, with no library to install and no collector to run.

A quick walkthrough of SigNoz Cloud's new trace detail view, with a flame graph that renders 100,000 spans in a single load. AI and agent workloads are producing traces with much higher span counts. We rebuilt the trace detail view in SigNoz Cloud to make investigating large traces faster. Here's what's new.

A quick walkthrough of SigNoz Cloud's new dashboard schema, redesigned to make dashboard operations by AI agents faster, more reliable, and lighter on tokens. AI agents are increasingly creating and editing observability dashboards. We redesigned the SigNoz Cloud dashboard data model with a structured, strictly validated schema so agents can work against defined fields and paths instead of inferring the dashboard structure.

Taylor Mattison explains how SigNoz MCP helped surface wasted work inside MSI's sales-order workflow. Warning checks were firing on user actions that had nothing to do with any warning they could raise. By comparing telemetry across the workflow, Taylor could point to unnecessary operations that were wasting API calls, database time, and server capacity. This clip is part of our MSI customer story on using SigNoz MCP with Claude to debug slow sales orders across the stack.