MLflow Tracking values yaml file

values.yaml

replicaCount: 1

image:
  repository: oswaldodocker/mlflow # Original selltom/mlflow was buggy
  tag: 1.7.3
  pullPolicy: IfNotPresent

backend_store_uri: "postgresql://<psql_username>:<psql_password>@postgres-postgresql.dev.svc.cluster.local:5432"
default_artifact_root: "s3://<your_s3_bucket>/mlflow/artifacts"

# The key is adding http:// before minio internal uri.
# In my case I named the chart minio2, hence this uri.
minio:
  url: http://minio2.dev.svc.cluster.local:9000 
  accesskey: <your_minio_username>
  secretkey: <your_minio_password>

nameOverride: ""
fullnameOverride: ""

service:
  type: ClusterIP
  port: 443
  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: true
  annotations: {}
  tls: 
  - hosts:
    - "<your_host>"
    secretName: <your_nginx_ingress_server_secret>
  hosts: 
  - "<your_host> "
  path: /
  backend:
    servicePort: 443

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: {}