Skip to content
In this Guide

In this Guide

Deep Dives

AI: Claude and Codex patterns

ConfigHub: Deploy and manage

A Guide

Take a config further

You have a reviewed configuration. Take it into a stack, keep it as an image, or save it in ConfigHub, where it moves through environments with approvals and history.

Prefer to do this with your AI agent?

1. Take an entry into a stack or into ConfigHub

Open the chart page and follow its first command. Inspect the generated objects and required setup before you decide where they should run.

Choosing several components for a platform? Build a small Kubara platform from tested Catalog entries, or compose a stack from certified parts. Upload a published entry into ConfigHub to release, promote, and govern it, or deploy it directly with the reconciler you already run.

Is my configuration right? · Try it: Redis in ten minutes · Run it with Flux, Argo CD, or kubectl · Use with your AI · Worked examples

2. Continue from the retained answer

Start with the public Promote my config comparison. ConfigHub is the next step when the same proposed object hash must move through named environments with approvals, release digests, and target results.

JobWhat ConfigHub keepsStart here
Compare development and productionBoth variants, their source relationship, and exact object diff.Compare environments
Promote and publishThe reviewed change, approval, promotion result, and immutable release OCI.Promotion and OCI examples
Roll backThe prior object revision or release digest. External effects remain outside the rollback claim.Redis promotion and rollback
Compare desired with liveThe approved desired objects and a separately dated live observation.Desired and live comparison
Roll out to a fleetThe selected targets, waves, approvals, and result for every target.Fleet examples