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  5. MlflowApp
Viewing docs for AWS v7.22.0
published on Wednesday, Mar 11, 2026 by Pulumi
Schema (JSON)
pulumi/pulumi-aws

aws.sagemaker.MlflowApp

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Viewing docs for AWS v7.22.0
published on Wednesday, Mar 11, 2026 by Pulumi
Schema (JSON)
pulumi/pulumi-aws

    Provides a SageMaker AI MLflow App resource.

    Example Usage

    Basic Usage

    import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";

const example = new aws.sagemaker.MlflowApp("example", {
    name: "example",
    roleArn: exampleAwsIamRole.arn,
    artifactStoreUri: `s3://${exampleAwsS3Bucket.bucket}/path`,
});

    import pulumi
import pulumi_aws as aws

example = aws.sagemaker.MlflowApp("example",
    name="example",
    role_arn=example_aws_iam_role["arn"],
    artifact_store_uri=f"s3://{example_aws_s3_bucket['bucket']}/path")

    package main

import (
	"github.com/pulumi/pulumi-aws/sdk/v7/go/aws/sagemaker"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := sagemaker.NewMlflowApp(ctx, "example", &sagemaker.MlflowAppArgs{
			Name:             pulumi.String("example"),
			RoleArn:          pulumi.Any(exampleAwsIamRole.Arn),
			ArtifactStoreUri: pulumi.Sprintf("s3://%v/path", exampleAwsS3Bucket.Bucket),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

    using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;

return await Deployment.RunAsync(() => 
{
    var example = new Aws.Sagemaker.MlflowApp("example", new()
    {
        Name = "example",
        RoleArn = exampleAwsIamRole.Arn,
        ArtifactStoreUri = $"s3://{exampleAwsS3Bucket.Bucket}/path",
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.sagemaker.MlflowApp;
import com.pulumi.aws.sagemaker.MlflowAppArgs;
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 MlflowApp("example", MlflowAppArgs.builder()
            .name("example")
            .roleArn(exampleAwsIamRole.arn())
            .artifactStoreUri(String.format("s3://%s/path", exampleAwsS3Bucket.bucket()))
            .build());

    }
}

    resources:
  example:
    type: aws:sagemaker:MlflowApp
    properties:
      name: example
      roleArn: ${exampleAwsIamRole.arn}
      artifactStoreUri: s3://${exampleAwsS3Bucket.bucket}/path

    Create MlflowApp Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new MlflowApp(name: string, args: MlflowAppArgs, opts?: CustomResourceOptions);
    @overload
def MlflowApp(resource_name: str,
              args: MlflowAppArgs,
              opts: Optional[ResourceOptions] = None)

@overload
def MlflowApp(resource_name: str,
              opts: Optional[ResourceOptions] = None,
              artifact_store_uri: Optional[str] = None,
              role_arn: Optional[str] = None,
              account_default_status: Optional[str] = None,
              default_domain_id_lists: Optional[Sequence[str]] = None,
              model_registration_mode: Optional[str] = None,
              name: Optional[str] = None,
              region: Optional[str] = None,
              tags: Optional[Mapping[str, str]] = None,
              timeouts: Optional[MlflowAppTimeoutsArgs] = None,
              weekly_maintenance_window_start: Optional[str] = None)
    func NewMlflowApp(ctx *Context, name string, args MlflowAppArgs, opts ...ResourceOption) (*MlflowApp, error)
    public MlflowApp(string name, MlflowAppArgs args, CustomResourceOptions? opts = null)
    public MlflowApp(String name, MlflowAppArgs args)
public MlflowApp(String name, MlflowAppArgs args, CustomResourceOptions options)

    type: aws:sagemaker:MlflowApp
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

    Parameters

    name string
    The unique name of the resource.
    args MlflowAppArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args MlflowAppArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args MlflowAppArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args MlflowAppArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args MlflowAppArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var mlflowAppResource = new Aws.Sagemaker.MlflowApp("mlflowAppResource", new()
{
    ArtifactStoreUri = "string",
    RoleArn = "string",
    AccountDefaultStatus = "string",
    DefaultDomainIdLists = new[]
    {
        "string",
    },
    ModelRegistrationMode = "string",
    Name = "string",
    Region = "string",
    Tags = 
    {
        { "string", "string" },
    },
    Timeouts = new Aws.Sagemaker.Inputs.MlflowAppTimeoutsArgs
    {
        Create = "string",
        Delete = "string",
        Update = "string",
    },
    WeeklyMaintenanceWindowStart = "string",
});

    example, err := sagemaker.NewMlflowApp(ctx, "mlflowAppResource", &sagemaker.MlflowAppArgs{
	ArtifactStoreUri:     pulumi.String("string"),
	RoleArn:              pulumi.String("string"),
	AccountDefaultStatus: pulumi.String("string"),
	DefaultDomainIdLists: pulumi.StringArray{
		pulumi.String("string"),
	},
	ModelRegistrationMode: pulumi.String("string"),
	Name:                  pulumi.String("string"),
	Region:                pulumi.String("string"),
	Tags: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
	Timeouts: &sagemaker.MlflowAppTimeoutsArgs{
		Create: pulumi.String("string"),
		Delete: pulumi.String("string"),
		Update: pulumi.String("string"),
	},
	WeeklyMaintenanceWindowStart: pulumi.String("string"),
})

    var mlflowAppResource = new MlflowApp("mlflowAppResource", MlflowAppArgs.builder()
    .artifactStoreUri("string")
    .roleArn("string")
    .accountDefaultStatus("string")
    .defaultDomainIdLists("string")
    .modelRegistrationMode("string")
    .name("string")
    .region("string")
    .tags(Map.of("string", "string"))
    .timeouts(MlflowAppTimeoutsArgs.builder()
        .create("string")
        .delete("string")
        .update("string")
        .build())
    .weeklyMaintenanceWindowStart("string")
    .build());

    mlflow_app_resource = aws.sagemaker.MlflowApp("mlflowAppResource",
    artifact_store_uri="string",
    role_arn="string",
    account_default_status="string",
    default_domain_id_lists=["string"],
    model_registration_mode="string",
    name="string",
    region="string",
    tags={
        "string": "string",
    },
    timeouts={
        "create": "string",
        "delete": "string",
        "update": "string",
    },
    weekly_maintenance_window_start="string")

    const mlflowAppResource = new aws.sagemaker.MlflowApp("mlflowAppResource", {
    artifactStoreUri: "string",
    roleArn: "string",
    accountDefaultStatus: "string",
    defaultDomainIdLists: ["string"],
    modelRegistrationMode: "string",
    name: "string",
    region: "string",
    tags: {
        string: "string",
    },
    timeouts: {
        create: "string",
        "delete": "string",
        update: "string",
    },
    weeklyMaintenanceWindowStart: "string",
});

    type: aws:sagemaker:MlflowApp
properties:
    accountDefaultStatus: string
    artifactStoreUri: string
    defaultDomainIdLists:
        - string
    modelRegistrationMode: string
    name: string
    region: string
    roleArn: string
    tags:
        string: string
    timeouts:
        create: string
        delete: string
        update: string
    weeklyMaintenanceWindowStart: string

    MlflowApp Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The MlflowApp resource accepts the following input properties:

    ArtifactStoreUri string
    S3 URI for a general purpose bucket to use as the MLflow App artifact store.
    RoleArn string
    Amazon Resource Name (ARN) for an IAM role in your account that the MLflow App uses to access the artifact store in Amazon S3.
    AccountDefaultStatus string
    Indicates whether this MLflow app is the default for the entire account. Valid values are ENABLED and DISABLED.
    DefaultDomainIdLists List<string>
    List of SageMaker domain IDs for which this MLflow App is used as the default.
    ModelRegistrationMode string
    Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. Valid values are AutoModelRegistrationEnabled and AutoModelRegistrationDisabled. Defaults to AutoModelRegistrationDisabled.
    Name string
    MLflow app name.
    Region string
    Region where this resource will be managed. Defaults to the Region set in the provider configuration.
    Tags Dictionary<string, string>
    A map of tags to assign to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    Timeouts MlflowAppTimeouts
    WeeklyMaintenanceWindowStart string
    Day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: SUN:03:00.
    ArtifactStoreUri string
    S3 URI for a general purpose bucket to use as the MLflow App artifact store.
    RoleArn string
    Amazon Resource Name (ARN) for an IAM role in your account that the MLflow App uses to access the artifact store in Amazon S3.
    AccountDefaultStatus string
    Indicates whether this MLflow app is the default for the entire account. Valid values are ENABLED and DISABLED.
    DefaultDomainIdLists []string
    List of SageMaker domain IDs for which this MLflow App is used as the default.
    ModelRegistrationMode string
    Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. Valid values are AutoModelRegistrationEnabled and AutoModelRegistrationDisabled. Defaults to AutoModelRegistrationDisabled.
    Name string
    MLflow app name.
    Region string
    Region where this resource will be managed. Defaults to the Region set in the provider configuration.
    Tags map[string]string
    A map of tags to assign to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    Timeouts MlflowAppTimeoutsArgs
    WeeklyMaintenanceWindowStart string
    Day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: SUN:03:00.
    artifactStoreUri String
    S3 URI for a general purpose bucket to use as the MLflow App artifact store.
    roleArn String
    Amazon Resource Name (ARN) for an IAM role in your account that the MLflow App uses to access the artifact store in Amazon S3.
    accountDefaultStatus String
    Indicates whether this MLflow app is the default for the entire account. Valid values are ENABLED and DISABLED.
    defaultDomainIdLists List<String>
    List of SageMaker domain IDs for which this MLflow App is used as the default.
    modelRegistrationMode String
    Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. Valid values are AutoModelRegistrationEnabled and AutoModelRegistrationDisabled. Defaults to AutoModelRegistrationDisabled.
    name String
    MLflow app name.
    region String
    Region where this resource will be managed. Defaults to the Region set in the provider configuration.
    tags Map<String,String>
    A map of tags to assign to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    timeouts MlflowAppTimeouts
    weeklyMaintenanceWindowStart String
    Day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: SUN:03:00.
    artifactStoreUri string
    S3 URI for a general purpose bucket to use as the MLflow App artifact store.
    roleArn string
    Amazon Resource Name (ARN) for an IAM role in your account that the MLflow App uses to access the artifact store in Amazon S3.
    accountDefaultStatus string
    Indicates whether this MLflow app is the default for the entire account. Valid values are ENABLED and DISABLED.
    defaultDomainIdLists string[]
    List of SageMaker domain IDs for which this MLflow App is used as the default.
    modelRegistrationMode string
    Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. Valid values are AutoModelRegistrationEnabled and AutoModelRegistrationDisabled. Defaults to AutoModelRegistrationDisabled.
    name string
    MLflow app name.
    region string
    Region where this resource will be managed. Defaults to the Region set in the provider configuration.
    tags {[key: string]: string}
    A map of tags to assign to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    timeouts MlflowAppTimeouts
    weeklyMaintenanceWindowStart string
    Day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: SUN:03:00.
    artifact_store_uri str
    S3 URI for a general purpose bucket to use as the MLflow App artifact store.
    role_arn str
    Amazon Resource Name (ARN) for an IAM role in your account that the MLflow App uses to access the artifact store in Amazon S3.
    account_default_status str
    Indicates whether this MLflow app is the default for the entire account. Valid values are ENABLED and DISABLED.
    default_domain_id_lists Sequence[str]
    List of SageMaker domain IDs for which this MLflow App is used as the default.
    model_registration_mode str
    Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. Valid values are AutoModelRegistrationEnabled and AutoModelRegistrationDisabled. Defaults to AutoModelRegistrationDisabled.
    name str
    MLflow app name.
    region str
    Region where this resource will be managed. Defaults to the Region set in the provider configuration.
    tags Mapping[str, str]
    A map of tags to assign to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    timeouts MlflowAppTimeoutsArgs
    weekly_maintenance_window_start str
    Day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: SUN:03:00.
    artifactStoreUri String
    S3 URI for a general purpose bucket to use as the MLflow App artifact store.
    roleArn String
    Amazon Resource Name (ARN) for an IAM role in your account that the MLflow App uses to access the artifact store in Amazon S3.
    accountDefaultStatus String
    Indicates whether this MLflow app is the default for the entire account. Valid values are ENABLED and DISABLED.
    defaultDomainIdLists List<String>
    List of SageMaker domain IDs for which this MLflow App is used as the default.
    modelRegistrationMode String
    Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. Valid values are AutoModelRegistrationEnabled and AutoModelRegistrationDisabled. Defaults to AutoModelRegistrationDisabled.
    name String
    MLflow app name.
    region String
    Region where this resource will be managed. Defaults to the Region set in the provider configuration.
    tags Map<String>
    A map of tags to assign to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    timeouts Property Map
    weeklyMaintenanceWindowStart String
    Day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: SUN:03:00.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the MlflowApp resource produces the following output properties:

    Arn string
    Amazon Resource Name (ARN) of the MLflow App.
    Id string
    The provider-assigned unique ID for this managed resource.
    TagsAll Dictionary<string, string>
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.
    Arn string
    Amazon Resource Name (ARN) of the MLflow App.
    Id string
    The provider-assigned unique ID for this managed resource.
    TagsAll map[string]string
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.
    arn String
    Amazon Resource Name (ARN) of the MLflow App.
    id String
    The provider-assigned unique ID for this managed resource.
    tagsAll Map<String,String>
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.
    arn string
    Amazon Resource Name (ARN) of the MLflow App.
    id string
    The provider-assigned unique ID for this managed resource.
    tagsAll {[key: string]: string}
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.
    arn str
    Amazon Resource Name (ARN) of the MLflow App.
    id str
    The provider-assigned unique ID for this managed resource.
    tags_all Mapping[str, str]
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.
    arn String
    Amazon Resource Name (ARN) of the MLflow App.
    id String
    The provider-assigned unique ID for this managed resource.
    tagsAll Map<String>
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.

    Look up Existing MlflowApp Resource

    Get an existing MlflowApp resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

    public static get(name: string, id: Input<ID>, state?: MlflowAppState, opts?: CustomResourceOptions): MlflowApp
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        account_default_status: Optional[str] = None,
        arn: Optional[str] = None,
        artifact_store_uri: Optional[str] = None,
        default_domain_id_lists: Optional[Sequence[str]] = None,
        model_registration_mode: Optional[str] = None,
        name: Optional[str] = None,
        region: Optional[str] = None,
        role_arn: Optional[str] = None,
        tags: Optional[Mapping[str, str]] = None,
        tags_all: Optional[Mapping[str, str]] = None,
        timeouts: Optional[MlflowAppTimeoutsArgs] = None,
        weekly_maintenance_window_start: Optional[str] = None) -> MlflowApp
    func GetMlflowApp(ctx *Context, name string, id IDInput, state *MlflowAppState, opts ...ResourceOption) (*MlflowApp, error)
    public static MlflowApp Get(string name, Input<string> id, MlflowAppState? state, CustomResourceOptions? opts = null)
    public static MlflowApp get(String name, Output<String> id, MlflowAppState state, CustomResourceOptions options)
    resources:  _:    type: aws:sagemaker:MlflowApp    get:      id: ${id}
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    resource_name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    The following state arguments are supported:
    AccountDefaultStatus string
    Indicates whether this MLflow app is the default for the entire account. Valid values are ENABLED and DISABLED.
    Arn string
    Amazon Resource Name (ARN) of the MLflow App.
    ArtifactStoreUri string
    S3 URI for a general purpose bucket to use as the MLflow App artifact store.
    DefaultDomainIdLists List<string>
    List of SageMaker domain IDs for which this MLflow App is used as the default.
    ModelRegistrationMode string
    Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. Valid values are AutoModelRegistrationEnabled and AutoModelRegistrationDisabled. Defaults to AutoModelRegistrationDisabled.
    Name string
    MLflow app name.
    Region string
    Region where this resource will be managed. Defaults to the Region set in the provider configuration.
    RoleArn string
    Amazon Resource Name (ARN) for an IAM role in your account that the MLflow App uses to access the artifact store in Amazon S3.
    Tags Dictionary<string, string>
    A map of tags to assign to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    TagsAll Dictionary<string, string>
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.
    Timeouts MlflowAppTimeouts
    WeeklyMaintenanceWindowStart string
    Day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: SUN:03:00.
    AccountDefaultStatus string
    Indicates whether this MLflow app is the default for the entire account. Valid values are ENABLED and DISABLED.
    Arn string
    Amazon Resource Name (ARN) of the MLflow App.
    ArtifactStoreUri string
    S3 URI for a general purpose bucket to use as the MLflow App artifact store.
    DefaultDomainIdLists []string
    List of SageMaker domain IDs for which this MLflow App is used as the default.
    ModelRegistrationMode string
    Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. Valid values are AutoModelRegistrationEnabled and AutoModelRegistrationDisabled. Defaults to AutoModelRegistrationDisabled.
    Name string
    MLflow app name.
    Region string
    Region where this resource will be managed. Defaults to the Region set in the provider configuration.
    RoleArn string
    Amazon Resource Name (ARN) for an IAM role in your account that the MLflow App uses to access the artifact store in Amazon S3.
    Tags map[string]string
    A map of tags to assign to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    TagsAll map[string]string
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.
    Timeouts MlflowAppTimeoutsArgs
    WeeklyMaintenanceWindowStart string
    Day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: SUN:03:00.
    accountDefaultStatus String
    Indicates whether this MLflow app is the default for the entire account. Valid values are ENABLED and DISABLED.
    arn String
    Amazon Resource Name (ARN) of the MLflow App.
    artifactStoreUri String
    S3 URI for a general purpose bucket to use as the MLflow App artifact store.
    defaultDomainIdLists List<String>
    List of SageMaker domain IDs for which this MLflow App is used as the default.
    modelRegistrationMode String
    Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. Valid values are AutoModelRegistrationEnabled and AutoModelRegistrationDisabled. Defaults to AutoModelRegistrationDisabled.
    name String
    MLflow app name.
    region String
    Region where this resource will be managed. Defaults to the Region set in the provider configuration.
    roleArn String
    Amazon Resource Name (ARN) for an IAM role in your account that the MLflow App uses to access the artifact store in Amazon S3.
    tags Map<String,String>
    A map of tags to assign to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    tagsAll Map<String,String>
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.
    timeouts MlflowAppTimeouts
    weeklyMaintenanceWindowStart String
    Day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: SUN:03:00.
    accountDefaultStatus string
    Indicates whether this MLflow app is the default for the entire account. Valid values are ENABLED and DISABLED.
    arn string
    Amazon Resource Name (ARN) of the MLflow App.
    artifactStoreUri string
    S3 URI for a general purpose bucket to use as the MLflow App artifact store.
    defaultDomainIdLists string[]
    List of SageMaker domain IDs for which this MLflow App is used as the default.
    modelRegistrationMode string
    Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. Valid values are AutoModelRegistrationEnabled and AutoModelRegistrationDisabled. Defaults to AutoModelRegistrationDisabled.
    name string
    MLflow app name.
    region string
    Region where this resource will be managed. Defaults to the Region set in the provider configuration.
    roleArn string
    Amazon Resource Name (ARN) for an IAM role in your account that the MLflow App uses to access the artifact store in Amazon S3.
    tags {[key: string]: string}
    A map of tags to assign to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    tagsAll {[key: string]: string}
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.
    timeouts MlflowAppTimeouts
    weeklyMaintenanceWindowStart string
    Day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: SUN:03:00.
    account_default_status str
    Indicates whether this MLflow app is the default for the entire account. Valid values are ENABLED and DISABLED.
    arn str
    Amazon Resource Name (ARN) of the MLflow App.
    artifact_store_uri str
    S3 URI for a general purpose bucket to use as the MLflow App artifact store.
    default_domain_id_lists Sequence[str]
    List of SageMaker domain IDs for which this MLflow App is used as the default.
    model_registration_mode str
    Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. Valid values are AutoModelRegistrationEnabled and AutoModelRegistrationDisabled. Defaults to AutoModelRegistrationDisabled.
    name str
    MLflow app name.
    region str
    Region where this resource will be managed. Defaults to the Region set in the provider configuration.
    role_arn str
    Amazon Resource Name (ARN) for an IAM role in your account that the MLflow App uses to access the artifact store in Amazon S3.
    tags Mapping[str, str]
    A map of tags to assign to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    tags_all Mapping[str, str]
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.
    timeouts MlflowAppTimeoutsArgs
    weekly_maintenance_window_start str
    Day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: SUN:03:00.
    accountDefaultStatus String
    Indicates whether this MLflow app is the default for the entire account. Valid values are ENABLED and DISABLED.
    arn String
    Amazon Resource Name (ARN) of the MLflow App.
    artifactStoreUri String
    S3 URI for a general purpose bucket to use as the MLflow App artifact store.
    defaultDomainIdLists List<String>
    List of SageMaker domain IDs for which this MLflow App is used as the default.
    modelRegistrationMode String
    Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry. Valid values are AutoModelRegistrationEnabled and AutoModelRegistrationDisabled. Defaults to AutoModelRegistrationDisabled.
    name String
    MLflow app name.
    region String
    Region where this resource will be managed. Defaults to the Region set in the provider configuration.
    roleArn String
    Amazon Resource Name (ARN) for an IAM role in your account that the MLflow App uses to access the artifact store in Amazon S3.
    tags Map<String>
    A map of tags to assign to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.
    tagsAll Map<String>
    A map of tags assigned to the resource, including those inherited from the provider default_tags configuration block.
    timeouts Property Map
    weeklyMaintenanceWindowStart String
    Day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: SUN:03:00.

    Supporting Types

    MlflowAppTimeouts, MlflowAppTimeoutsArgs

    Create string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    Delete string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    Update string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    Create string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    Delete string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    Update string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    create String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    delete String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    update String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    create string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    delete string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    update string
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    create str
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    delete str
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    update str
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    create String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).
    delete String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours). Setting a timeout for a Delete operation is only applicable if changes are saved into state before the destroy operation occurs.
    update String
    A string that can be parsed as a duration consisting of numbers and unit suffixes, such as "30s" or "2h45m". Valid time units are "s" (seconds), "m" (minutes), "h" (hours).

    Import

    Identity Schema

    Required

    • arn (String) ARN of the MLflow App.

    Using pulumi import, import SageMaker AI MLflow Apps using the arn. For example:

    $ pulumi import aws:sagemaker/mlflowApp:MlflowApp example arn:aws:sagemaker:us-east-1:123456789012:mlflow-app/app-ABCD1234

    To learn more about importing existing cloud resources, see Importing resources.

    Package Details

    Repository
    AWS Classic pulumi/pulumi-aws
    License
    Apache-2.0
    Notes
    This Pulumi package is based on the aws Terraform Provider.
    aws logo
    Viewing docs for AWS v7.22.0
    published on Wednesday, Mar 11, 2026 by Pulumi
    Schema (JSON)
    pulumi/pulumi-aws
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