KubeStellar Console

What is KubeStellar Console?

KubeStellar Console is an open source web console for managing several Kubernetes clusters from one interface. The dashboard is organized into pages for clusters, workloads, deployments, pods, services, Helm, logs, events, nodes, storage, network, cost, GitOps, security and compliance, plus pages for AI/ML work, AI agents, GPU reservations and llm-d benchmarks. The operator view covers an operator catalog, health monitoring, a custom resource explorer, upgrade management and version drift detection across clusters. A marketplace and add-card menu let you assemble dashboards, and AI Missions guide tasks such as installing projects. A hosted demo at console.kubestellar.io runs on mocked data, so you can look around without a cluster, and installing it locally connects the console to your real clusters. No pricing or paid plans are published; the pricing page on the site returns not found, and the project says AI agents maintain it.

Use cases

• Monitor several Kubernetes clusters in one view
• Track operator versions across a fleet
• Reserve and track GPU capacity
• Review GitOps and deployment status
• Audit operator RBAC permissions
• Explore a Kubernetes console in demo mode

Who it's for

• Platform engineers
• DevOps and SRE teams
• Kubernetes administrators

Why use KubeStellar Console

• One console covers cluster, workload, security and cost views, so you do not switch between separate tools for each fleet.
• Operator drift detection shows which clusters run different versions of the same operator.
• Demo mode lets a team evaluate the interface before installing anything.
• The project is open source, so there is no license fee to evaluate or run it.
• Dashboards can be customized by adding or removing cards.

KubeStellar Console features

• Multi-cluster dashboard with cluster status and health counts
• Operator catalog, health monitoring and upgrade management
• Custom resource explorer and CRD version tracking
• Operator version drift detection across clusters
• RBAC and permission review for installed operators
• GPU reservations with utilization by GPU type and namespace
• Pages for GitOps, Helm, logs, events, cost and compliance
• AI Missions for guided tasks
• Marketplace of dashboards and cards, with theme switching
• Demo mode that shows sample data only

KubeStellar Console integrations

• Kubernetes
• Helm
• OperatorHub
• OLM

How to get started with KubeStellar Console

1. Open the hosted demo at console.kubestellar.io to explore the dashboards with sample data.
2. Install the console locally when you want it to monitor your real clusters.
3. Add clusters and arrange the dashboard cards you need, or pull in cards from the marketplace.
4. Use pages such as Operators, GPU Reservations and GitOps, and open AI Missions for guided tasks.

KubeStellar Console limitations

• The hosted demo shows sample data and does not read your own clusters
• Monitoring real clusters requires installing the console locally
• No pricing or support plans are published on the site
• Many of its dashboards are marked as demo content in the hosted version

KubeStellar Console pricing

KubeStellar Console is open source, so you can use and self-host it for free.

Prices can change and may vary by country or exclude tax. Check the official pricing page.

KubeStellar Console alternatives

The main KubeStellar Console alternatives listed on Debuly are Neurox, Middleware, NVIDIA Run:ai, DownForAI, Fiddler AI and Holistic AI. The table compares pricing and platforms; order is A–Z.

1. DF

   DownForAI

   Free status monitor for 800+ AI services with outage tracking, latency checks, community reports and embeddable status badges.

   Developer platformsResearch and search
   FreeVisit DownForAI (official site)
2. 

   Fiddler AI

   Control plane for enterprise AI agents: observability, evaluations, inline guardrails and governance for agentic and predictive models.

   Developer platformsAutomation and agents
   FreemiumVisit Fiddler AI (official site)
3. 

   Holistic AI

   Enterprise AI governance platform that inventories every model and agent, tests them for risk and bias, and enforces policy with audit evidence.

   Developer platformsAutomation and agentsProductivity
   Contact salesVisit Holistic AI (official site)
4. 

   Middleware

   OpenTelemetry-native observability platform for infrastructure, APM, logs, RUM and LLM monitoring, with an AI agent for root cause analysis.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Middleware (official site)
5. Ne

   Neurox

   Self-hosted GPU monitoring for Kubernetes AI clusters, with cost tracking by team and project; free up to 64 GPUs.

   Developer platforms
   FreemiumVisit Neurox (official site)
6. NR

   NVIDIA Run:ai

   GPU orchestration platform that schedules, shares and monitors AI workloads across on-premises and cloud clusters.

   Developer platformsAutomation and agents
   Contact salesVisit NVIDIA Run:ai (official site)

KubeStellar Console FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from console.kubestellar.io · fetched 24 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

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