Initial Kubeflow GitOps setup with example pipelines

README.md

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+# Kubeflow Pipelines - GitOps Repository
+
+This repository contains ML pipeline definitions managed via ArgoCD.
+
+## Structure
+
+```
+.
+├── pipelines/           # Pipeline Python definitions
+│   └── examples/        # Example pipelines
+├── components/          # Reusable pipeline components
+├── experiments/         # Experiment configurations
+├── runs/               # Scheduled/triggered runs
+└── manifests/          # K8s manifests for ArgoCD
+```
+
+## Usage
+
+1. **Add a pipeline**: Create a Python file in `pipelines/`
+2. **Push to main**: ArgoCD auto-deploys
+3. **Monitor**: Check Kubeflow UI at https://kubeflow.walleye-frog.ts.net
+
+## Quick Start
+
+```python
+from kfp import dsl
+
+@dsl.component
+def hello_world() -> str:
+    return "Hello from Kubeflow!"
+
+@dsl.pipeline(name="hello-pipeline")
+def hello_pipeline():
+    hello_world()
+```
+
+## Environment
+
+- **Kubeflow**: https://kubeflow.walleye-frog.ts.net
+- **MinIO**: https://minio.walleye-frog.ts.net
+- **ArgoCD**: https://argocd.walleye-frog.ts.net