MLflow on Kubernetes example

00-mlflow-kubernetes-manifest-examples

TITLE

mlflow-deployment.yaml

apiVersion: apps/v1
kind: Deployment
metadata:
  name: mlflow
  labels:
    app: mlflow
spec:
  replicas: 1
  revisionHistoryLimit: 2
  selector:
    matchLabels:
      app: mlflow
  template:
    metadata:
      labels:
        app: mlflow
    spec:
      containers:
      - name: mlflow
        image: 'ghcr.io/mlflow/mlflow:v2.13.0'
        imagePullPolicy: IfNotPresent
        ports:
        - containerPort: 5000
        command: [ '/bin/sh' ]
        args:
        - '-c'
        - "mlflow ui --host 0.0.0.0 --port 5000 --workers 1
          --backend-store-uri sqlite:///data/mlflow/db.sqlite
          --artifacts-destination /data/mlflow/artifacts
          --default-artifact-root http://localhost:5000/api/2.0/mlflow-artifacts/artifacts/experiments"
        envFrom:
        - secretRef:
            name: mlflow
        volumeMounts:
        - mountPath: '/artifacts'
          name: mlflow-artifacts
      volumes:
      - name: mlflow-artifacts
        hostPath:
          path: '/data/mlflow/artifacts'

mlflow-service.yaml

apiVersion: v1
kind: Service
metadata:
  name: mlflow
  labels:
    app: mlflow
spec:
  type: NodePort
  ports:
  - port: 5000
  selector:
    app: mlflow