[Course][Udemy][Gourav Shah] Ultimate DevOps to MLOps Bootcamp - Build ML CI-CD Pipelines [ENG, 2025] : 08. Building Scalable Prod Inference Infrastructure with Kubernetes

Делаю:
2025.12.30

Инсталляция и создание kubernetes кластера kind

// Deploying Streamlit Frontent App with Kubernetes
$ kubectl create deployment streamlit --image=webmakaka/streamlit:latest --port=8501

// Exposing the Streamlit App with Kubernetes NodePort Service
$ kubectl create service nodeport streamlit --tcp=8501 --node-port=30000

// Creating Deployment Service for the Model wrapped in FastAPI
$ kubectl create deployment model --image=webmakaka/house-price-model:latest --port=8000

$ cat <<EOF | kubectl apply -f -
apiVersion: v1
kind: Service
metadata:
  creationTimestamp: null
  labels:
    app: model
  name: model
spec:
  ports:
    - name: web
      nodePort: 30100
      port: 8000
      protocol: TCP
      targetPort: 8000
  selector:
    app: model
  type: NodePort
status:
  loadBalancer: {}
EOF

$ kubectl get pods
NAME                        READY   STATUS    RESTARTS   AGE
model-54fb689844-fvj4z      1/1     Running   0          88s
streamlit-94fb5b648-pt57q   1/1     Running   0          103s

// OK!
http://localhost:30100/docs
http://localhost:30000