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
