GoogleCloudPlatform/kubectl-ai

Docs: Add a guide for using kubectl-ai in a production environment

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#500 opened on Aug 19, 2025

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Description

We have been getting a few requests around best practices around using kubectl-ai safely in production environment.

Task here is to create a simple guide sharing tips/tricks for enabling safe usage of kubectl-ai in production.

Some quick notes:

  • Run in a least privilege environment
  • Running in sandbox
  • Using LLM provider such as vertexai with enterprise controls around data privacy etc.
  • tips on command approvals

Contributor guide

Research direction
Create a markdown guide in the repository's docs/ folder covering least privilege, sandboxing, using vertexai for enterprise data privacy, and command approval tips.
Tech stack
go
Domain
devopscloud
Issue type
Documentation
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
1
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Active
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
None
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
90