values.yaml

replicaCount: 1

image:
  repository: ayadi05/mlflow
  tag: 1.5.1
  pullPolicy: IfNotPresent

default_artifact_root: "s3://datalake/mlflow/artifacts"



db:
  default:
    enabled: false
  ## type can be 'postgresql', 'mysql' or any other db type that can be used in a db_uri
  type: postgresql
  host: postgresql
  port: 5432
  user: admin
  password: password
  database: postgres

minio:
  url: minio.default.svc.cluster.local:9000
  accesskey: secret
  secretkey: secret

nameOverride: ""
fullnameOverride: ""

service:
  type: NodePort
  port: 80
  annotations: {}
  ## Set the LoadBalancer service type to internal only.
  ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#internal-load-balancer
  ##
  # loadBalancerIP:

  ## Load Balancer sources
  ## https://kubernetes.io/docs/tasks/access-application-cluster/configure-cloud-provider-firewall/#restrict-access-for-loadbalancer-service
  ##
  # loadBalancerSourceRanges:
  # - 10.10.10.0/24

## Configure Ingress based on the documentation here: https://kubernetes.io/docs/concepts/services-networking/ingress/
##
ingress:
  enabled: false
  annotations: {}
  tls: []
  hosts: [mlflow.test]
  path: /

resources: {}
  # We usually recommend not to specify default resources and to leave this as a conscious
  # choice for the user. This also increases chances charts run on environments with little
  # resources, such as Minikube. If you do want to specify resources, uncomment the following
  # lines, adjust them as necessary, and remove the curly braces after 'resources:'.
  # limits:
  #   cpu: 100m
  #   memory: 128Mi
  # requests:
  #   cpu: 100m
  #   memory: 128Mi

# volumes:
#   - name: minio
#     persistentVolumeClaim:
#       claimName: minio

nodeSelector: {}

tolerations: []

affinity: {}