LF Live Webinar: Demystifying Kubernetes Observability with Generative AI and LLMs

Sponsored by Logz.io
The use of AI and LLMs provides significant promise in lending a hand to operators overwhelmed by K8s-related alerts. LLMs are adept at processing, learning and recognizing patterns in a large volume of repetitive textual data - precisely the nature of log data and other telemetry in highly distributed and dynamic systems. They can easily be applied to observability to provide meaningful recommendations. But LLMs are not a panacea. Let’s talk about the real value vs. inflated expectations.
In this presentation we’ll discuss:
How ChatGPT says we can use LLM in observability today
The limitations of LLM
How LLM can be used to simplify the user experience of complex observability solutions
How to use LLM to help with mundane tasks that are error prone
What’s next - Interactive chat with your data