production/k8s/deployment-worker.yml

apiVersion: apps/v1
kind: Deployment
metadata:
  name: ml-intern-worker
  namespace: ml-intern
  labels:
    app: ml-intern-worker
    version: v1
spec:
  replicas: 2
  strategy:
    type: RollingUpdate
    rollingUpdate:
      maxSurge: 1
      maxUnavailable: 0
  selector:
    matchLabels:
      app: ml-intern-worker
  template:
    metadata:
      labels:
        app: ml-intern-worker
        version: v1
    spec:
      containers:
        - name: worker
          image: ml-intern:latest
          imagePullPolicy: Always
          command: ["python", "-m", "worker"]
          envFrom:
            - configMapRef:
                name: ml-intern-config
          env:
            - name: DATABASE_URL
              valueFrom:
                secretKeyRef:
                  name: ml-intern-secrets
                  key: DATABASE_URL
            - name: REDIS_URL
              valueFrom:
                secretKeyRef:
                  name: ml-intern-secrets
                  key: REDIS_URL
            - name: HF_TOKEN
              valueFrom:
                secretKeyRef:
                  name: ml-intern-secrets
                  key: HF_TOKEN
          resources:
            requests:
              memory: "256Mi"
              cpu: "100m"
            limits:
              memory: "1Gi"
              cpu: "1000m"
      terminationGracePeriodSeconds: 60
---
apiVersion: v1
kind: Service
metadata:
  name: ml-intern-worker
  namespace: ml-intern
  labels:
    app: ml-intern-worker
spec:
  type: ClusterIP
  clusterIP: None
  selector:
    app: ml-intern-worker