apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app.kubernetes.io/name: rfqm
    app.kubernetes.io/component: scheduler
  name: rfqm-scheduler
spec:
  strategy:
    type: RollingUpdate
    rollingUpdate:
      maxUnavailable: 25%
      maxSurge: 25%
  replicas: 1
  selector:
    matchLabels:
      app.kubernetes.io/name: rfqm
      app.kubernetes.io/component: scheduler
  template:
    metadata:
      annotations:
        prometheus.io/scrape: "true"
        prometheus.io/port: "8080"
      labels:
        app.kubernetes.io/name: rfqm
        app.kubernetes.io/component: scheduler
    spec:
      nodeSelector:
        kubernetes.io/arch: amd64 # We currently only support amd64    
      terminationGracePeriodSeconds: 300 
      containers:
        - image: 0x-rfq-api:latest
          name: rfqm-scheduler
          resources:
            limits:
              cpu: 256m
              memory: 512Mi
            requests:
              cpu: 128m
              memory: 256Mi
          imagePullPolicy: Always
          startupProbe:
            httpGet:
              path: /metrics
              port: prom
            initialDelaySeconds: 2
            periodSeconds: 10
            successThreshold: 1
            timeoutSeconds: 5
            failureThreshold: 6 # Give container 1 minute to startup
          livenessProbe:
            httpGet:
              path: /metrics
              port: prom
            initialDelaySeconds: 2
            periodSeconds: 10
            successThreshold: 1
            timeoutSeconds: 5              
          command: ["/bin/sh", "-c"]
          args: ["yarn workspace rfq-api start:service:scheduler"]
          ports:
            - containerPort: 8080
              name: prom
          env:
            - name: NODE_ENV
              value: "production"
            - name: LOGGER_INCLUDE_TIMESTAMP
              value: "false"
            - name: REDIS_BACKGROUND_JOB_URI
            - name: ENABLE_PROMETHEUS_METRICS
              value: "true"
            - name: PROMETHEUS_PORT
              value: "8080"