Operations | Monitoring | ITSM | DevOps | Cloud

​Map service dependencies and validate architectural patterns without manually analyzing trace flows. Trace Operators let you query relationships between services within distributed traces using simple, intuitive syntax.

​Map service dependencies and validate architectural patterns without manually analyzing trace flows. Trace Operators let you query relationships between services within distributed traces using simple, intuitive syntax.

Query Builder v5 brings familiar SQL-like syntax to observability data with expression-based querying that works across logs, metrics, and traces. Write complex queries using the syntax you already know.

Interactive Dashboards eliminate the current workflow of opening new tabs and manually recreating queries every time you need to investigate a spike or anomaly. Click directly on any data point to drill down and explore. ​What you can do.

Interactive Dashboards eliminate the current workflow of opening new tabs and manually recreating queries every time you need to investigate a spike or anomaly. Click directly on any data point to drill down and explore. ​What you can do: ​Built for developers who need to debug production issues efficiently, not juggle with multiple tabs.

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.

Making LLMs Observable : AI, OpenTelemetry and Rise of MCP.

Monitor apps using Vercel AI SDK with SigNoz and OpenTelemetry. This video talks about how to configure your AI apps to send data to SigNoz using OpenTelemetry.

2025 has truly been the year of Agentic AI, with MCP (Model Context Protocol) emerging as one of its flashy and most talked-about innovations. While many products have seamlessly integrated MCP servers into their systems, these servers are increasingly being labelled as black boxes, opaque components that handle critical tasks but offer little visibility into what’s happening under the hood. We prompt an agent, a tool gets invoked, and a response is generated. But what really happens in between? And when something breaks, how do we trace the failure and debug it effectively?

What if setting up observability in your Next.js app was as easy as running a few commands? In this quick guide, we show you how to instrument your Next.js application using OpenTelemetry and visualize with SigNoz — without all the headaches.