Grafana Tech Lead Nathan Marrs demonstrates how to leverage the power of large language models (LLMs) to create intelligent and dynamic experiences within Grafana Scenes apps.

From natural language queries to automated report generation, LLMs offer a wide range of possibilities for enhancing Grafana’s capabilities. This session will feature practical demonstrations showcasing the integration of LLMs, as well as other AI/ML-powered Grafana features, with Grafana Scenes apps via the LLM application plugin.

Chapters:
0:00 Introduction
0:25 What does the future of observability look like?
1:11 How do we enable humans to understand complex systems?
2:41 GenAI and ML in observability
3:08 How we're using AI and ML at Grafana: Minimize toil with Grafana Sift and Grafana ML
6:02 Building GenAI support into Grafana OSS
7:49 Features we've built so far: Dashboard assistant, query advisor, Flamegraph AI
11:53 What can you build?
13:38 Grafana, LLMs, Scenes live demo

Helpful links:
👀 Check out the Grafana LLM app: https://grafana.com/grafana/plugins/g...

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