Introducing two solutions to leverage AI power to increase Kubernetes SRE management efficiency:

- 1) Introduce and demo of open source project `k8sgpt`: Run health check for workloads with `k8sgpt`, and get remediation suggestion from LLM like OpenAI or Local-AI.

- (a) The theory of codified knowledge
- (b) Deep dive about the LLM explanation and sensitive data protection.

- 2) Translate the k8s operations from human language interaction, to lower the SRE barrier. let chatGPT be the "translator": A way of new user interface.

- (a) With simply prompt to turn operation into kubectl bash commands like one of the example project `kubectl-ai`
- (b) Solve or diagnostic complex problems with `autoGPT`-like concepts with multiple iterations of k8s operations.