Repository-backed model
The visual editor and supported artifact generators are traceable to code and automated tests.
IzyKube helps small platform teams and Kubernetes consultancies model supported resources on a visual canvas, then generate artifacts they can review and use in their existing Git workflow. It complements kubectl and your delivery tools.
The visual editor and supported artifact generators are traceable to code and automated tests.
Generate YAML or a Helm archive for resource types covered by the current model and tests.
Run the application locally and connect it to third-party components such as Kubernetes, MongoDB, and Ollama.
What is present today
Model supported Kubernetes resources visually, generate YAML or Helm, then review and deliver the output with the Git and deployment tools your team already uses. Direct cluster operations and inspection have partial end-to-end verification.
Core features
The labels below are deliberately scoped. Full status, dependencies, and verification commands are in the evidence matrix.
Design supported workloads and resource relationships on a shared namespace canvas.
Generate YAML or a Helm archive for resource types covered by the implementation and evidence matrix.
Model Kubernetes access policies and generate manifests for the supported policy paths.
Model supported VirtualService resources and export their manifests; the Istio runtime remains external.
Take generated artifacts into your current Git review and deployment process. IzyKube does not replace that process.
Cluster apply/delete and inspection paths are partial; comprehensive drift detection is not established.
Evidence and roadmap
The capability matrix records its audit date and repository baseline. It separates implemented, partial, planned, and external items. Check that baseline before relying on it as a description of the latest code. Comprehensive drift detection and production readiness are not established by the cited tests.
Self-hosted setup
IzyKube is self-hosted. Terraform provisions the local k3s cluster and Docker network. The current Compose setup also expects a generated Kubernetes kubeconfig and pre-existing external MongoDB and Ollama data volumes. A clean Docker host cannot start the stack with docker compose up alone. The README documents the repository's development setup and these limitations.
FAQ
No. IzyKube is open-source and self-hostable. You can run it locally or in your own infrastructure.
No. IzyKube complements kubectl, Helm, Git review, and your existing deployment tools by modeling supported resources and generating artifacts.
IzyKube is aimed first at small platform teams and Kubernetes consultancies that need a visual way to design supported namespace resources and produce reviewable artifacts.
Review the tested scope and setup requirements, then evaluate IzyKube against one real namespace design.