Community knowledge base for KubeStellar Console AI missions — share, discover, and import proven solutions to save tokens and time.
Console KB is the community hub for sharing AI mission solutions created in the KubeStellar Console. When you solve a complex Kubernetes problem using the Console's AI-powered missions, you can export and publish your solution here so others can:
- Import proven solutions directly into their Console
- Discover community-tested approaches to common challenges
- Save tokens by reusing solutions instead of re-prompting AI
- Learn from real-world multi-cluster Kubernetes patterns
┌─────────────────────┐ Export ┌─────────────────────┐
│ KubeStellar │ ──────────────▶ │ Console KB │
│ Console │ │ (This Repo) │
│ │ ◀────────────── │ │
│ AI Missions │ Import │ Community Solutions │
└─────────────────────┘ └─────────────────────┘
Each solution is a self-contained package that includes:
- Mission definition — the AI prompt and parameters
- Expected outcomes — what the mission produces
- Prerequisites — required cluster setup, CRDs, or tools
- Tags — categories for discovery (e.g.,
multi-cluster,security,networking) - Compatibility — Console version and tested Kubernetes versions
Explore the solutions/ directory to find community-contributed AI mission solutions organized by category.
- Copy the solution YAML from this repository
- In KubeStellar Console, go to AI Missions → Import
- Paste or upload the solution file
- The mission is ready to run in your environment
- Create a successful AI mission in KubeStellar Console
- Export it via AI Missions → Export
- Fork this repo and add your solution to the appropriate category under
solutions/ - Submit a PR with a description of what the mission solves
See CONTRIBUTING.md for detailed submission guidelines.
| Category | Description |
|---|---|
multi-cluster/ |
Cross-cluster deployment, federation, and sync patterns |
security/ |
RBAC, network policies, secret management across clusters |
networking/ |
Service mesh, ingress, DNS, and connectivity solutions |
observability/ |
Monitoring, logging, and alerting across clusters |
workloads/ |
Application deployment strategies and patterns |
troubleshooting/ |
Diagnostic missions for common Kubernetes issues |
cost-optimization/ |
Resource right-sizing and cluster efficiency |
| Repository | Description |
|---|---|
| kubestellar/console | AI-powered multi-cluster Kubernetes dashboard |
| kubestellar/console-marketplace | Community dashboards, card presets, and themes |
| kubestellar/console-kb (this repo) | AI mission knowledge base — share and discover solutions |
We welcome contributions! Whether you're sharing a solution that saved you hours of debugging or improving an existing one, every contribution helps the community.
Please see CONTRIBUTING.md for details on submitting solutions.
This project is licensed under the Apache License 2.0 - see the LICENSE file for details.