1. Install argoCD

kubectl create namespace argocd
kubectl apply -n argocd -f https://raw.githubusercontent.com/argoproj/argo-cd/stable/manifests/install.yaml
        

2. Git repo structure

ml-infra-gitops/
gpu-jobs/
    job1/
    values.yaml
    helm-chart/
    job2/
base-infra/
    jupyterhub/
    tf-serving/
        

3. Create Argo CD Applications

apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
    name: gpu-job1
spec:
    project: default
    source:
    repoURL: 'https://github.com/my-org/ml-infra-gitops'
    targetRevision: HEAD
    path: gpu-jobs/job1
    helm:
        valueFiles:
        - values.yaml
    destination:
    server: 'https://kubernetes.default.svc'
    namespace: gpu-jobs
    syncPolicy:
    automated:
        prune: true
        selfHeal: true
        

4. Deploy

kubectl apply -f gpu-job1-application.yaml