Demystifying Kubernetes Observability with Generative AI and LLMs

Recorded May 16, 2024

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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