How to Get Started with KubeStellar Console
Updated
KubeStellar Console is an AI-powered multi-cluster Kubernetes dashboard that provides unified visibility and control across cloud, on-prem, and edge clusters. To get started, use the Get Started with KubeStellar Console or Try Console entry points on kubestellar.io, or go straight to the Docs and Live Demo links in the site navigation. The site states the Console can be installed in under a minute, so the fastest path is to try the live demo first, then follow the Quick Installation docs for your own clusters.
Quick installation path
The site lists a Quick Installation link under its project resources. The general flow for a dashboard of this type is:
- Open the Quick Installation page from the kubestellar.io navigation.
- Follow the documented install steps for your environment.
- Launch the Console and connect your clusters.
- Confirm the unified multi-cluster dashboard shows your clusters and workloads.
The expected result is a single pane of glass where you can monitor resources, view logs, and manage workloads across any cluster. The site does not publish specific prerequisites, supported Kubernetes versions, or exact commands on this page, so treat the Quick Installation docs as the authoritative source before you begin.
Live demo and documentation links
If you want to evaluate before installing, the site offers these entry points:
| Resource | What it gives you |
|---|---|
| Live Demo | A running Console to explore without installing |
| Docs | Installation, usage, and reference material |
| Marketplace | Dashboards, card presets, and themes from the community |
| Contribute | Ways to contribute to the project |
| Contributor Handbook | Guidance for new contributors |
Start with the Live Demo if you are comparing dashboards, and with Docs if you already know you want to deploy.
What you can do once you are in
The Console's stated capabilities map to concrete first tasks:
- AI-powered operations — use natural language AI Missions to ask questions, deploy workloads, and troubleshoot issues.
- Unified multi-cluster dashboard — see all clusters in one interface and manage workloads across them.
- Extensible marketplace — customize with community dashboards, card presets, and themes, and build and share your own extensions.
A practical first session: open the dashboard, confirm your clusters appear, then try one AI Mission such as asking about a workload's status to see how the assistant responds to your infrastructure.
Marketplace and community contribution channels
The site points to Marketplace, Contribute, Contributor Handbook, Join In, and Get Involved as the community entry points. If you want to extend the Console, the Marketplace is where community dashboards, card presets, and themes live, and you can build and share your own. If you want to contribute to the project itself, start with the Contributor Handbook, then use Contribute or Join In.
Contact and partner resources
For direct contact or partnership inquiries, the site provides Get in Touch, Contact Us, and Partners links. There is also a Your Brand. Our Platform offer aimed at CNCF projects: a production-ready Kubernetes dashboard with 150+ cards, 30 dashboards, and AI missions, rebranded to your project.
Common starting points and how to choose
- Just exploring? Use the Live Demo.
- Ready to install? Go to Quick Installation in the Docs.
- Want to customize? Browse the Marketplace.
- Want to contribute? Read the Contributor Handbook, then Contribute or Join In.
- Evaluating against other dashboards? The site positions the Console against Lens, Headlamp, and HolmesGPT, noting additions such as multi-cluster AI, GPU visibility, built-in ops tools, 140+ dashboard cards, root cause analysis, investigation runbooks, PagerDuty/OpsGenie integration, and Inspektor Gadget eBPF tracing.
One note on scope: the site describes KubeStellar Console plus KubeStellar-MCP as a standalone replacement for the functions of the legacy KubeStellar components, with information on those predecessors kept in a Legacy section. If you are migrating from older KubeStellar tooling, check that section before you plan your move.