pulumi-aws-kotlin/com.pulumi.aws.sagemaker.kotlin/NotebookInstance

NotebookInstance

class NotebookInstance : KotlinCustomResource

Provides a SageMaker Notebook Instance resource.

Example Usage

Basic usage

package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.sagemaker.NotebookInstance;
import com.pulumi.aws.sagemaker.NotebookInstanceArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }
    public static void stack(Context ctx) {
        var ni = new NotebookInstance("ni", NotebookInstanceArgs.builder()
            .roleArn(aws_iam_role.role().arn())
            .instanceType("ml.t2.medium")
            .tags(Map.of("Name", "foo"))
            .build());
    }
}

Code repository usage

package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.sagemaker.CodeRepository;
import com.pulumi.aws.sagemaker.CodeRepositoryArgs;
import com.pulumi.aws.sagemaker.inputs.CodeRepositoryGitConfigArgs;
import com.pulumi.aws.sagemaker.NotebookInstance;
import com.pulumi.aws.sagemaker.NotebookInstanceArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;
public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }
    public static void stack(Context ctx) {
        var example = new CodeRepository("example", CodeRepositoryArgs.builder()
            .codeRepositoryName("my-notebook-instance-code-repo")
            .gitConfig(CodeRepositoryGitConfigArgs.builder()
                .repositoryUrl("https://github.com/github/docs.git")
                .build())
            .build());
        var ni = new NotebookInstance("ni", NotebookInstanceArgs.builder()
            .roleArn(aws_iam_role.role().arn())
            .instanceType("ml.t2.medium")
            .defaultCodeRepository(example.codeRepositoryName())
            .tags(Map.of("Name", "foo"))
            .build());
    }
}

Import

SageMaker Notebook Instances can be imported using the name, e.g.,

$ pulumi import aws:sagemaker/notebookInstance:NotebookInstance test_notebook_instance my-notebook-instance

Properties

acceleratorTypes

val acceleratorTypes: Output<List<String>>?

A list of Elastic Inference (EI) instance types to associate with this notebook instance. See Elastic Inference Accelerator for more details. Valid values: ml.eia1.medium, ml.eia1.large, ml.eia1.xlarge, ml.eia2.medium, ml.eia2.large, ml.eia2.xlarge.

additionalCodeRepositories

val additionalCodeRepositories: Output<List<String>>?

An array of up to three Git repositories to associate with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in AWS CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance.

arn

val arn: Output<String>

The Amazon Resource Name (ARN) assigned by AWS to this notebook instance.

defaultCodeRepository

val defaultCodeRepository: Output<String>?

The Git repository associated with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in AWS CodeCommit or in any other Git repository.

directInternetAccess

val directInternetAccess: Output<String>?

Set to Disabled to disable internet access to notebook. Requires security_groups and subnet_id to be set. Supported values: Enabled (Default) or Disabled. If set to Disabled, the notebook instance will be able to access resources only in your VPC, and will not be able to connect to Amazon SageMaker training and endpoint services unless your configure a NAT Gateway in your VPC.

val id: Output<String>

instanceMetadataServiceConfiguration

val instanceMetadataServiceConfiguration: Output<NotebookInstanceInstanceMetadataServiceConfiguration>?

Information on the IMDS configuration of the notebook instance. Conflicts with instance_metadata_service_configuration. see details below.

instanceType

val instanceType: Output<String>

The name of ML compute instance type.

kmsKeyId

val kmsKeyId: Output<String>?

The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.

lifecycleConfigName

val lifecycleConfigName: Output<String>?

The name of a lifecycle configuration to associate with the notebook instance.

name

val name: Output<String>

The name of the notebook instance (must be unique).

networkInterfaceId

val networkInterfaceId: Output<String>

The network interface ID that Amazon SageMaker created at the time of creating the instance. Only available when setting subnet_id.

platformIdentifier

val platformIdentifier: Output<String>

The platform identifier of the notebook instance runtime environment. This value can be either notebook-al1-v1, notebook-al2-v1, or notebook-al2-v2, depending on which version of Amazon Linux you require.

pulumiChildResources

val pulumiChildResources: Set<KotlinResource>

pulumiResourceName

val pulumiResourceName: String

pulumiResourceType

val pulumiResourceType: String

roleArn

val roleArn: Output<String>

The ARN of the IAM role to be used by the notebook instance which allows SageMaker to call other services on your behalf.

rootAccess