values-eks.yaml

ssh:
  aws: true

jupyterhub:
  singleuser:
    nodeSelector:
      dirac.institute/instance-type: "notebook"
    cpu:
      guarantee: 3.5
    memory:
      guarantee: "13411M"

  hub:
    nodeSelector:
      dirac.institute/instance-type: "service"
  proxy:
    chp:
      nodeSelector:
        dirac.institute/instance-type: "service"
    traefik:
      nodeSelector:
        dirac.institute/instance-type: "service"
  scheduling:
    userScheduler:
      nodeSelector:
        dirac.institute/instance-type: "service"

nfs-server-provisioner:
  persistence:
    storageClass: "gp2-immediate"
    size: 200Gi
  storageClass:
    name: "nfs-hub"
  nodeSelector:
    dirac.institute/instance-type: "service"

mariadb:
  primary:
    nodeSelector:
      dirac.institute/instance-type: "service"
  secondary:
    nodeSelector:
      dirac.institute/instance-type: "service"

# cluster-autoscaler-chart:
#   awsRegion: "us-west-2"
#   autoDiscovery:
#     clusterName: "pufsalad"
#   nodeSelector:
#     dirac.institute/instance-type: "service"

spark-defaults.conf:
  999-executor-defaults: |
    # options for the executor pods
    spark.executor.instances=1
    spark.executor.memory=13250m
    spark.executor.cores=4
    spark.kubernetes.executor.request.cores=3290m
    spark.kubernetes.executor.limit.cores=3290m
    # node selector
    spark.kubernetes.node.selector.dirac.institute/instance-type=spark