EndpointConfiguration is the Schema for the EndpointConfigurations API. Provides a SageMaker Endpoint Configuration resource.
Type
CRD
Group
sagemaker.aws.upbound.io
Version
v1beta1
apiVersion: sagemaker.aws.upbound.io/v1beta1
kind: EndpointConfiguration
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 configuration for asynchronous inference invocation outputs.
Specifies the configuration for notifications of inference results for asynchronous inference.
The Amazon SNS topics where you want the inference response to be included. Valid values are SUCCESS_NOTIFICATION_TOPIC and ERROR_NOTIFICATION_TOPIC.
Specifies the parameters to capture input/output of SageMaker models endpoints. Fields are documented below.
The content type headers to capture. Fields are documented below.
The CSV content type headers to capture.
The JSON content type headers to capture.
Specifies what data to capture. Fields are documented below.
Reference to a Key in kms to populate kmsKeyArn.
Policies for referencing.
Selector for a Key in kms to populate kmsKeyArn.
Policies for selection.
An list of ProductionVariant objects, one for each model that you want to host at this endpoint. Fields are documented below.
Specifies configuration for a core dump from the model container when the process crashes. Fields are documented below.
Reference to a Model in sagemaker to populate modelName.
Policies for referencing.
Selector for a Model in sagemaker to populate modelName.
Policies for selection.
Specifies configuration for how an endpoint performs asynchronous inference.
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.
Specifies configuration for a core dump from the model container when the process crashes. Fields are documented below.
Specifies configuration for how an endpoint performs asynchronous inference.
THIS IS A BETA FIELD. It will be honored unless the Management Policies feature flag is disabled. InitProvider holds the same fields as ForProvider, with the exception of Identifier and other resource reference fields. The fields that are in InitProvider are merged into ForProvider when the resource is created. The same fields are also added to the terraform ignore_changes hook, to avoid updating them after creation. This is useful for fields that are required on creation, but we do not desire to update them after creation, for example because of an external controller is managing them, like an autoscaler.
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 configuration for asynchronous inference invocation outputs.
Specifies the configuration for notifications of inference results for asynchronous inference.
The Amazon SNS topics where you want the inference response to be included. Valid values are SUCCESS_NOTIFICATION_TOPIC and ERROR_NOTIFICATION_TOPIC.
Specifies the parameters to capture input/output of SageMaker models endpoints. Fields are documented below.
The content type headers to capture. Fields are documented below.
The CSV content type headers to capture.
The JSON content type headers to capture.
Specifies what data to capture. Fields are documented below.
Reference to a Key in kms to populate kmsKeyArn.
Policies for referencing.
Selector for a Key in kms to populate kmsKeyArn.
Policies for selection.
An list of ProductionVariant objects, one for each model that you want to host at this endpoint. Fields are documented below.
Specifies configuration for a core dump from the model container when the process crashes. Fields are documented below.
Reference to a Model in sagemaker to populate modelName.
Policies for referencing.
Selector for a Model in sagemaker to populate modelName.
Policies for selection.
Specifies configuration for how an endpoint performs asynchronous inference.
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.
Specifies configuration for a core dump from the model container when the process crashes. Fields are documented below.
Specifies configuration for how an endpoint performs asynchronous inference.
THIS IS A BETA FIELD. It is on by default but can be opted out through a Crossplane feature flag. ManagementPolicies specify the array of actions Crossplane is allowed to take on the managed and external resources. This field is planned to replace the DeletionPolicy field in a future release. Currently, both could be set independently and non-default values would be honored if the feature flag is enabled. If both are custom, the DeletionPolicy field will be ignored. See the design doc for more information: https://github.com/crossplane/crossplane/blob/499895a25d1a1a0ba1604944ef98ac7a1a71f197/design/design-doc-observe-only-resources.md?plain=1#L223 and this one: https://github.com/crossplane/crossplane/blob/444267e84783136daa93568b364a5f01228cacbe/design/one-pager-ignore-changes.md
ProviderConfigReference specifies how the provider that will be used to create, observe, update, and delete this managed resource should be configured.
Policies for referencing.
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.
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 configuration for asynchronous inference invocation outputs.
Specifies the configuration for notifications of inference results for asynchronous inference.
The Amazon SNS topics where you want the inference response to be included. Valid values are SUCCESS_NOTIFICATION_TOPIC and ERROR_NOTIFICATION_TOPIC.
Specifies the parameters to capture input/output of SageMaker models endpoints. Fields are documented below.
The content type headers to capture. Fields are documented below.
The CSV content type headers to capture.
The JSON content type headers to capture.
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.
Specifies configuration for a core dump from the model container when the process crashes. Fields are documented below.
Specifies configuration for how an endpoint performs asynchronous inference.
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.
Specifies configuration for a core dump from the model container when the process crashes. Fields are documented below.
Specifies configuration for how an endpoint performs asynchronous inference.
Conditions of the resource.
ec
apiVersion: sagemaker.aws.upbound.io/v1beta1
kind: EndpointConfiguration
metadata:
annotations:
meta.upbound.io/example-id: sagemaker/v1beta1/endpoint
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
ec
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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