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Workshop Intermediate apache

Using AI with K3s and Kubectl

Proposal status is Rejected
Session Description

Why write YAML when you can describe it? In this hands-on session, we bridge the gap between intent and infrastructure. We will leverage Gemini and kubectl-ai to provision a K3s cluster and deploy complex microservices using nothing but natural language.

What you’ll learn:

  • Natural Language Ops: Using kubectl-ai to generate and apply manifests on the fly.

  • AI-First Debugging: Integrating K8sGPT to identify and fix cluster "hallucinations" (misconfigurations) in real-time.

  • Lightweight Precision: Why K3s is the perfect playground for rapid AI prototyping.

  • Vibe-Check Your Cluster: Transitioning from "writing code" to "guiding agents" using the Agent Development Kit (ADK) for cluster maintenance.

Key Takeaways

Attendees will learn how to integrate AI in k3s and kubectl

References

https://github.com/googlecloudplatform/kubectl-ai

Session Categories

Knowledge Commons (Open Hardware, Open Science, Open Data etc.)
Other
Talk License: apache

Which track are you applying for?

Main track

Speakers

Ashutosh Bhakare
Ashutosh Bhakare CEO | Unnati Development and Training centre pvt ltd

Trainer and Consultant