- Install minicube:
curl -LO https://storage.googleapis.com/minikube/releases/latest/minikube-linux-amd64
sudo install minikube-linux-amd64 /usr/local/bin/minikube
- Start minikube:
minikube start- Install ArgoCD
kubectl create namespace argocd
kubectl apply -n argocd -f https://raw.githubusercontent.com/argoproj/argo-cd/stable/manifests/install.yaml- Port forward ArgoCD:
kubectl port-forward svc/argocd-server -n argocd 8080:443- Open UI at:
http://localhost:8080
- Default password:
kubectl -n argocd get secret argocd-initial-admin-secret -o jsonpath="{.data.password}" | base64 -d
- Apply argocd application
kubectl apply -f k8s/argocd-app.yml| POC No. | Description | Difficulty |
|---|---|---|
| 1 | Deploy a simple ML model API (FastAPI) using ArgoCD Basic app GitOps deployment | 🟢 Easy |
| 2 | GitOps-driven Model Versioning Deployments Rolling out new models automatically | 🟡 Medium |
| 3 | Argo Rollouts + ArgoCD for Canary Model Rollouts Canary releasing new ML models safely | 🟡 Medium |
| 4 | Multi-tenancy setup for ML environments Different namespaces per team | 🟠Medium-Hard |
| 5 | Full Kubeflow Pipelines GitOps Deployment with ArgoCD Production-grade ML platform GitOps | 🔴 Advanced |
| 6 | Secure Secret Management (model creds, DB creds) with ArgoCD + External Secrets Secret management in GitOps | 🔴 Advanced |
| 7 | Self-Healing ML Inference Service Auto-sync + health check + rollback broken models | 🔴 Advanced |