Argo CD

• 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 :

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