In this episode, we’re diving into observability for Generative AI apps. AI helps us write code and monitor applications in production - but how do we observe the AI itself? And how do we make sense of complex, non-deterministic AI systems?
Save the date: January 21th at 17:00 CET (direct link to import it into your calendar)
We’re joined by two great guests: Ishan Jain, working on GenAI observability and Luccas Quadros, working on Grafana Assistant.
Together, they bring both platform-level insights and real-world perspectives.
We’ll explore the fast-evolving space of observability for generative AI apps, including:
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How non-deterministic responses change the way we think about observability
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Recording prompts and completions in telemetry: when it’s useful, when it’s not, and how to do it safely
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Using automated evaluations to understand whether things actually work
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Monitoring agentic workflows and multi-step reasoning
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What OTel GenAI group works on
Join us live for an open conversation! Bring your questions, opinions, and hot takes - it’s going to be a fun one 
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Looking forward to seeing you!