mlflowtrackingserver

MlflowTrackingServer is the Schema for the MlflowTrackingServers API. Provides a SageMaker AI MLFlow Tracking Server resource.

Schema URL

https://raw.githubusercontent.com/nlamirault/schema-hub/main/schemas/sagemaker.aws.m.upbound.io/mlflowtrackingserver_v1beta1.json

▶Usage examples

VS Code / yaml-language-server

# yaml-language-server: $schema=https://raw.githubusercontent.com/nlamirault/schema-hub/main/schemas/sagemaker.aws.m.upbound.io/mlflowtrackingserver_v1beta1.json

kubeconform

kubeconform -schema-location 'https://raw.githubusercontent.com/nlamirault/schema-hub/main/schemas/{{ .Group }}/{{ .ResourceKind }}_{{ .ResourceAPIVersion }}.json' manifest.yaml

Resource Structure

apiVersionstring

APIVersion defines the versioned schema of this representation of an object. Servers should convert recognized schemas to the latest internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#resources

kindstring

Kind is a string value representing the REST resource this object represents. Servers may infer this from the endpoint the client submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#types-kinds

metadataobject

specobjectRequired

MlflowTrackingServerSpec defines the desired state of MlflowTrackingServer

statusobject

MlflowTrackingServerStatus defines the observed state of MlflowTrackingServer.