EndpointConfiguration is the Schema for the EndpointConfigurations API. Provides a SageMaker Endpoint Configuration resource.
EndpointConfigurationSpec defines the desired state of EndpointConfiguration
No description provided.
Specifies configuration for how an endpoint performs asynchronous inference.
Configures the behavior of the client used by Amazon SageMaker to interact with the model container during asynchronous inference.
Specifies the parameters to capture input/output of SageMaker models endpoints. Fields are documented below.
Specifies what data to capture. Fields are documented below.
An list of ProductionVariant objects, one for each model that you want to host at this endpoint. Fields are documented below.
Array of ProductionVariant objects. There is one for each model that you want to host at this endpoint in shadow mode with production traffic replicated from the model specified on ProductionVariants.If you use this field, you can only specify one variant for ProductionVariants and one variant for ShadowProductionVariants. Fields are documented below.
PublishConnectionDetailsTo specifies the connection secret config which contains a name, metadata and a reference to secret store config to which any connection details for this managed resource should be written. Connection details frequently include the endpoint, username, and password required to connect to the managed resource.
WriteConnectionSecretToReference specifies the namespace and name of a Secret to which any connection details for this managed resource should be written. Connection details frequently include the endpoint, username, and password required to connect to the managed resource. This field is planned to be replaced in a future release in favor of PublishConnectionDetailsTo. Currently, both could be set independently and connection details would be published to both without affecting each other.
EndpointConfigurationStatus defines the observed state of EndpointConfiguration.
apiVersion: sagemaker.aws.upbound.io/v1beta1 kind: EndpointConfiguration metadata: annotations: meta.upbound.io/example-id: sagemaker/v1beta1/endpointconfiguration upjet.upbound.io/manual-intervention: It requires an image which can be create/deleted only using AWS CLI labels: testing.upbound.io/example-name: ec name: ec spec: forProvider: productionVariants: - initialInstanceCount: 1 instanceType: ml.t2.medium modelNameSelector: matchLabels: testing.upbound.io/example-name: example variantName: variant-1 region: us-east-1 tags: Name: foo
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© 2022 Upbound, Inc.
© 2022 Upbound, Inc.
Discover the building blocksfor your internal cloud platform.