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Senior Developer Advocate Nicole van der Hoeven explains how we're thinking about observability and AI at Grafana Labs. She talks about how you can use AI with observability across the entire SDLC and the different tools you can use for both AI for observability and observability for AI.

Grafana AI Observability is our new database and platform for observing AI Agents. Over the past year at Grafana Labs, we built Agents and we needed a way to understand how they are performing, what are the costs associated with them, what's the error rate or time to the first token as well as how they are behaving. Grafana Staff Engineer, Ivana Hučková provides a deep dive demo on how Grafana AI Observability connects our experience building Agents with our experience building observability systems.

In this session at O11yCon, Purvi Kanal, Jamie Danielson, and Martin Holman demoed the new Canvas. Canvas now understands OpenTelemetry GenAI semantic conventions, and can show agent invocations, LLM calls, and tool calls all in one trace view. Humans and agents can work in the same place, with skills that let each team encode their own expertise so both the agent and their colleagues can use it. Multiplayer support means you can see your teammates' cursors and share charts.