Kube9 Ecosystem

Kube9 is a comprehensive Kubernetes management platform that combines intelligent automation with developer-first experiences. The ecosystem consists of multiple integrated components that work together seamlessly.

Components

🖥️ VS Code Extension

Intelligent Kubernetes management in your IDE

The Kube9 VS Code extension provides intelligent Kubernetes cluster management directly within your IDE. Features context-aware analysis, troubleshooting, and recommendations.

Status: MVP
License: Open Source & Free
Privacy: Routine cluster data stays local; optional VS Code telemetry follows IDE settings (see extension README)

Learn more about the VS Code Extension →

⚙️ Kube9 Operator

In-cluster validation and monitoring

The Kube9 Operator runs inside your Kubernetes cluster, performs scheduled Well-Architected Framework validation, persists assessments and events in-cluster, and exposes operator status for connected Kube9 tools. The Helm chart does not configure remote product sign-in or API keys; it is open source and self-contained.

Status: Open source (actively maintained)
License: Open Source & Free
Privacy: Data stays in your cluster; no chart-managed remote registration

Learn more about the Operator →

🤖 Kube9 Desktop

AI-powered Kubernetes management

Kube9 Desktop is a cross-platform desktop application with an AI-powered experience that uses operator-backed cluster history and your preferred AI provider.

Status: In Development
License: Freemium (Free tier + Pro/Enterprise subscriptions)
AI Features: Embedded AI agent with historical context

Learn more about Kube9 Desktop →

How They Work Together

mermaid

graph LR
    vscode[Kube9 VS Code Extension] -->|reads status| operator[Kube9 Operator]
    operator -->|runs in| cluster[Your Cluster]
    vscode -->|direct access| cluster
    desktop[Kube9 Desktop] -->|uses history from| operator

Operator (Optional): Runs in-cluster and provides validation plus status signaling
VS Code Extension: Connects directly to Kubernetes and unlocks additional views when operator data is available
Desktop App: Uses operator-backed history to improve AI-assisted Kubernetes workflows

Key Features

✅ Context-Aware Analysis - Intelligent cluster analysis in VS Code
✅ Well-Architected Framework - Comprehensive cluster validation
✅ Multi-Cluster Management - Handle multiple clusters easily
✅ Operator Status Signaling - Tier and health visibility for connected tools
✅ Privacy-conscious - Cluster workloads stay in your cluster; the VS Code extension keeps routine cluster data local and limits optional telemetry to non-identifying product events (see extension docs)
✅ Open Source - Completely free with full transparency

Getting Started

Start with the VS Code Extension - Works immediately with any cluster
Add the Operator (Optional) - For enhanced assessments and event tracking

Learn more about the VS Code Extension →

Kube9 Ecosystem ​

Components ​

🖥️ VS Code Extension ​

⚙️ Kube9 Operator ​

🤖 Kube9 Desktop ​

How They Work Together ​

Key Features ​

Getting Started ​

Links ​