values.yaml

# Default values for machine-learning-lab.

# General ML Lab configuration
labConfig:
  # Prefix to add to the ML Lab API endpoints. Useful if ML Lab is served behind a reverse proxy on a subpath
  baseUrlPrefix: ""
  # Configure an external Open ID Connect (OIDC) provider for passwordless login
  externalOIDC:
    # Enable OIDC login (by default only username + password is possible)
    enabled: false
    # The domain under which the ML Lab deployment is externally accessible. This is required for the OIDC
    # login to construct the callback URL.
    # domain: "ml-lab.local"
    domain: ""
    # Client id used for requestion user information
    clientId: "" #
    # Client secret used for requestion user information
    clientSecret: ""
    # URL of the OIDC provider that a user who wants to login should be redirected to
    authUrl: ""
    # URL of the OIDC provider that can be used to request a JWT token for a user
    tokenUrl: ""
  # If set to true, users can register themselves whith a new username and password or login directly via OIDC
  # If set to false, an admin needs to create the user manually first (using the email for OIDC)
  allowSelfRegistration: true
  # Terms of service text shown to the user on the login page
  tosText: ""
  # Text that is shown in the upload dialog. Can be used to remind the user if specific (confidential) files must not be uploaded.
  uploadNote: ""
  # Hide deployment ui (services and jobs)
  hideDeployments: false
  # Enable debug mode of ML Lab
  debug: false
  # Number of gunicorn server processes used for the backend
  numServerProcesses: 3
  # Time in minutes for which a service session token is valid
  sessionTokenExpiryMinutes: 15 # 15 minutes
  # Time in seconds between check for idle services
  serviceIdleCheckInterval: 1200 # 20 minutes



# Configuration of the ML Lab backend
labBackend:
  # Image used for the ml lab backend
  image:
    repository: "ghcr.io/sap/machine-learning-lab/lab-backend"
    tag: "latest"
    pullPolicy: IfNotPresent
  # Resource requirements of the backend deployment
  resources:
    limits:
      cpu: 1000m
      memory: 3Gi
    requests:
      cpu: 100m
      memory: 1Gi
  # Other Kubernetes pod configurations
  nodeSelector: {}
  tolerations: []
  podAnnotations: {}
  podSecurityContext: {}
  containerSecurityContext: {}
  imagePullSecrets: []
  # Service configuration for the backend deployment
  service:
    type: ClusterIP
    port: 8080
    sshPort: 22
  # Ingress configuration for external access to the backend
  ingress:
    enabled: false
    annotations: {}
      # kubernetes.io/ingress.class: nginx
      # kubernetes.io/tls-acme: "true"
    tls: []
    #  - secretName: chart-example-tls
    #    hosts:
    #      - chart-example.local
    hosts:
      - host: chart-example.local
        paths:
          - path: "/"
            pathType: Prefix

# Configuration of the integrated ML Lab Postgres DB
# If you want to use an external Postgres DB, disable this component
integratedPostgres:
  enabled: True
  # Postgres image to use
  image:
    repository: "postgres"
    tag: "14.2"
    pullPolicy: IfNotPresent
  # Resources required for the Postgres deployment
  resources:
    limits:
      cpu: 1000m
      memory: 3Gi
    requests:
      cpu: 100m
      memory: 1Gi
  # Size of the persisten volume used for the DB data
  storageSize: "10Gi"
  # Storage class to use for the volume
  storageClassName: ""
  # Service configuration for the postgres deployment
  service:
    type: ClusterIP
    port: 5432
  # Other Kubernetes pod configurations
  nodeSelector: {}
  affinity: {}
  tolerations: []
  podAnnotations: {}
  podSecurityContext: {}
  containerSecurityContext: {}
  imagePullSecrets: []

# Instead of the integrated Postgres DB an external one can be configured
externalPostgres:
  enabled: False
  # Host name of the Postgres instance
  host: ""
  # Port of the Postgres instance
  port: 5432
  # Name of the database to use on the postgres instance
  dbName: "postgres"

# Configuration of the integrated ML Lab Minio DB
# If you want to use an external file storage, disable this component
integratedMinioStorage:
  enabled: True
  # Minio image to use
  image:
    repository: "minio/minio"
    tag: "RELEASE.2021-03-04T00-53-13Z"
    pullPolicy: IfNotPresent
  # Resources required for the Minio deployment
  resources:
    limits:
      cpu: 1000m
      memory: 3Gi
    requests:
      cpu: 100m
      memory: 1Gi
  # Size of the persisten volume used for the DB data
  storageSize: "5Gi"
  # Storage class to use for the volume
  storageClassName: ""
  # Service configuration for the minio deployment
  service:
    type: ClusterIP
    port: 9000
  # Other Kubernetes pod configurations
  nodeSelector: {}
  affinity: {}
  tolerations: []
  podAnnotations: {}
  podSecurityContext: {}
  containerSecurityContext: {}
  imagePullSecrets: []

# Instead of the integrated Minio DB an external S3 file storage can be
externalS3Storage:
  enabled: False
  url: ""

# Instead of the integrated Minio DB an external Azure blob storage
externalAzureBlobStorage:
  enabled: False
  connectionString: ""


# Configuration of the workspace manager component
workspaceManager:
  # Set to false if you don't need the workspace manager component
  enabled: True

  ################################################################################
  # Workspace Configuration
  ################################################################################
  env:
    WORKSPACE_MEMORY_MB_DEFAULT: "1000"
    WORKSPACE_MEMORY_MB_MAX: "8000"
    WORKSPACE_MEMORY_MB_OPTIONS: "1000,2000,4000,8000"

    WORKSPACE_CPUS_DEFAULT: "1"
    WORKSPACE_CPUS_MAX: "4"
    WORKSPACE_CPUS_OPTIONS: "1,2,3,4"

    WORKSPACE_IDLE_TIMEOUT_DEFAULT: "0"
    WORKSPACE_IDLE_TIMEOUT_OPTIONS: "0,3600,7200,14400,28800"
    WORKSPACE_ALWAYS_CLEAR_VOLUME_ON_STOP: "false"

    WORKSPACE_VOLUME_SIZE: "5000"
    WORKSPACE_CONTAINER_SIZE: "5000"


  ################################################################################
  # Deployment Configuration
  ################################################################################
  image:
    repository: "ghcr.io/sap/machine-learning-lab/lab-workspace-manager"
    tag: "latest"
    pullPolicy: IfNotPresent
  # Resources required
  resources:
    limits:
      cpu: 1000m
      memory: 2Gi
    requests:
      cpu: 100m
      memory: 500Mi
  # Service configuration
  service:
    type: ClusterIP
    port: 8080
  # Other Kubernetes pod configurations
  nodeSelector: {}
  affinity: {}
  tolerations: []
  podAnnotations: {}
  podSecurityContext: {}
  containerSecurityContext: {}
  imagePullSecrets: []