From the course: Prometheus and Grafana: Visualizing Application Performance

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Grafana and LLMs: Current features

Grafana and LLMs: Current features

From the course: Prometheus and Grafana: Visualizing Application Performance

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Grafana and LLMs: Current features

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- [Instructor] The challenges of working with Grafana are well documented, and we understand how LLMs can help. But what is actually possible? This is where things start to get a lot more practical. The ultimate goal is to improve observability within your systems. Let's talk about what LLM features are currently available in Grafana. Unfortunately, most of these features are either just in public preview or require a Grafana Cloud account. But don't worry, I will teach you how to build out your own Grafana AI tools with these Nissen Technologies. It is important to understand the limitations of LLM features in Grafana though. Natural language tools will always be limited to the understanding of the user about Grafana, the underlying data, and querying. The main feature that can power LLMs in Grafana is the LLM plugin. It is a central component for interacting with LLM capabilities. It can handle authenticated requests to various LLM services, removing the need to manage sensitive API…

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