We recommend new projects start with resources from the AWS provider.
Viewing docs for AWS Cloud Control v1.70.0
published on Wednesday, Jun 24, 2026 by Pulumi
published on Wednesday, Jun 24, 2026 by Pulumi
We recommend new projects start with resources from the AWS provider.
Viewing docs for AWS Cloud Control v1.70.0
published on Wednesday, Jun 24, 2026 by Pulumi
published on Wednesday, Jun 24, 2026 by Pulumi
Resource type definition for AWS::SageMaker::MlflowApp
Using getMlflowApp
Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.
function getMlflowApp(args: GetMlflowAppArgs, opts?: InvokeOptions): Promise<GetMlflowAppResult>
function getMlflowAppOutput(args: GetMlflowAppOutputArgs, opts?: InvokeOptions): Output<GetMlflowAppResult>def get_mlflow_app(arn: Optional[str] = None,
opts: Optional[InvokeOptions] = None) -> GetMlflowAppResult
def get_mlflow_app_output(arn: pulumi.Input[Optional[str]] = None,
opts: Optional[InvokeOptions] = None) -> Output[GetMlflowAppResult]func LookupMlflowApp(ctx *Context, args *LookupMlflowAppArgs, opts ...InvokeOption) (*LookupMlflowAppResult, error)
func LookupMlflowAppOutput(ctx *Context, args *LookupMlflowAppOutputArgs, opts ...InvokeOption) LookupMlflowAppResultOutput> Note: This function is named LookupMlflowApp in the Go SDK.
public static class GetMlflowApp
{
public static Task<GetMlflowAppResult> InvokeAsync(GetMlflowAppArgs args, InvokeOptions? opts = null)
public static Output<GetMlflowAppResult> Invoke(GetMlflowAppInvokeArgs args, InvokeOptions? opts = null)
}public static CompletableFuture<GetMlflowAppResult> getMlflowApp(GetMlflowAppArgs args, InvokeOptions options)
public static Output<GetMlflowAppResult> getMlflowApp(GetMlflowAppArgs args, InvokeOptions options)
fn::invoke:
function: aws-native:sagemaker:getMlflowApp
arguments:
# arguments dictionarydata "aws-native_sagemaker_getmlflowapp" "name" {
# arguments
}The following arguments are supported:
- Arn string
- The Amazon Resource Name (ARN) of the MLflow App.
- Arn string
- The Amazon Resource Name (ARN) of the MLflow App.
- arn string
- The Amazon Resource Name (ARN) of the MLflow App.
- arn String
- The Amazon Resource Name (ARN) of the MLflow App.
- arn string
- The Amazon Resource Name (ARN) of the MLflow App.
- arn str
- The Amazon Resource Name (ARN) of the MLflow App.
- arn String
- The Amazon Resource Name (ARN) of the MLflow App.
getMlflowApp Result
The following output properties are available:
- Arn string
- The Amazon Resource Name (ARN) of the MLflow App.
- Artifact
Store stringUri - The S3 URI for a general purpose bucket to use as the MLflow App artifact store.
- Creation
Time string - The date and time that the MLflow App was created.
- Last
Modified stringTime - The date and time that the MLflow App was last modified.
- Mlflow
App stringId - The server-generated identifier of the MLflow App.
- Mlflow
Version string - The MLflow version used by the MLflow App.
- Model
Registration Pulumi.Mode Aws Native. Sage Maker. Mlflow App Model Registration Mode - Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry.
- Status
Pulumi.
Aws Native. Sage Maker. Mlflow App Status - The status of the MLflow App.
-
List<Pulumi.
Aws Native. Outputs. Tag> - Tags to associate with the MLflow App.
- Weekly
Maintenance stringWindow Start - The day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: Tue:03:30.
- Arn string
- The Amazon Resource Name (ARN) of the MLflow App.
- Artifact
Store stringUri - The S3 URI for a general purpose bucket to use as the MLflow App artifact store.
- Creation
Time string - The date and time that the MLflow App was created.
- Last
Modified stringTime - The date and time that the MLflow App was last modified.
- Mlflow
App stringId - The server-generated identifier of the MLflow App.
- Mlflow
Version string - The MLflow version used by the MLflow App.
- Model
Registration MlflowMode App Model Registration Mode - Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry.
- Status
Mlflow
App Status - The status of the MLflow App.
- Tag
- Tags to associate with the MLflow App.
- Weekly
Maintenance stringWindow Start - The day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: Tue:03:30.
- arn string
- The Amazon Resource Name (ARN) of the MLflow App.
- artifact_
store_ stringuri - The S3 URI for a general purpose bucket to use as the MLflow App artifact store.
- creation_
time string - The date and time that the MLflow App was created.
- last_
modified_ stringtime - The date and time that the MLflow App was last modified.
- mlflow_
app_ stringid - The server-generated identifier of the MLflow App.
- mlflow_
version string - The MLflow version used by the MLflow App.
- model_
registration_ "Automode Model Registration Enabled" | "Auto Model Registration Disabled" - Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry.
- status
"Creating" | "Created" | "Create
Failed" | "Updating" | "Updated" | "Update Failed" | "Deleting" | "Delete Failed" | "Deleted" - The status of the MLflow App.
- list(object)
- Tags to associate with the MLflow App.
- weekly_
maintenance_ stringwindow_ start - The day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: Tue:03:30.
- arn String
- The Amazon Resource Name (ARN) of the MLflow App.
- artifact
Store StringUri - The S3 URI for a general purpose bucket to use as the MLflow App artifact store.
- creation
Time String - The date and time that the MLflow App was created.
- last
Modified StringTime - The date and time that the MLflow App was last modified.
- mlflow
App StringId - The server-generated identifier of the MLflow App.
- mlflow
Version String - The MLflow version used by the MLflow App.
- model
Registration MlflowMode App Model Registration Mode - Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry.
- status
Mlflow
App Status - The status of the MLflow App.
- List<Tag>
- Tags to associate with the MLflow App.
- weekly
Maintenance StringWindow Start - The day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: Tue:03:30.
- arn string
- The Amazon Resource Name (ARN) of the MLflow App.
- artifact
Store stringUri - The S3 URI for a general purpose bucket to use as the MLflow App artifact store.
- creation
Time string - The date and time that the MLflow App was created.
- last
Modified stringTime - The date and time that the MLflow App was last modified.
- mlflow
App stringId - The server-generated identifier of the MLflow App.
- mlflow
Version string - The MLflow version used by the MLflow App.
- model
Registration MlflowMode App Model Registration Mode - Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry.
- status
Mlflow
App Status - The status of the MLflow App.
- Tag[]
- Tags to associate with the MLflow App.
- weekly
Maintenance stringWindow Start - The day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: Tue:03:30.
- arn str
- The Amazon Resource Name (ARN) of the MLflow App.
- artifact_
store_ struri - The S3 URI for a general purpose bucket to use as the MLflow App artifact store.
- creation_
time str - The date and time that the MLflow App was created.
- last_
modified_ strtime - The date and time that the MLflow App was last modified.
- mlflow_
app_ strid - The server-generated identifier of the MLflow App.
- mlflow_
version str - The MLflow version used by the MLflow App.
- model_
registration_ Mlflowmode App Model Registration Mode - Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry.
- status
Mlflow
App Status - The status of the MLflow App.
- Sequence[root_Tag]
- Tags to associate with the MLflow App.
- weekly_
maintenance_ strwindow_ start - The day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: Tue:03:30.
- arn String
- The Amazon Resource Name (ARN) of the MLflow App.
- artifact
Store StringUri - The S3 URI for a general purpose bucket to use as the MLflow App artifact store.
- creation
Time String - The date and time that the MLflow App was created.
- last
Modified StringTime - The date and time that the MLflow App was last modified.
- mlflow
App StringId - The server-generated identifier of the MLflow App.
- mlflow
Version String - The MLflow version used by the MLflow App.
- model
Registration "AutoMode Model Registration Enabled" | "Auto Model Registration Disabled" - Whether to enable or disable automatic registration of new MLflow models to the SageMaker Model Registry.
- status
"Creating" | "Created" | "Create
Failed" | "Updating" | "Updated" | "Update Failed" | "Deleting" | "Delete Failed" | "Deleted" - The status of the MLflow App.
- List<Property Map>
- Tags to associate with the MLflow App.
- weekly
Maintenance StringWindow Start - The day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time that weekly maintenance updates are scheduled. For example: Tue:03:30.
Supporting Types
MlflowAppModelRegistrationMode
MlflowAppStatus
Tag
Package Details
- Repository
- AWS Native pulumi/pulumi-aws-native
- License
- Apache-2.0
We recommend new projects start with resources from the AWS provider.
Viewing docs for AWS Cloud Control v1.70.0
published on Wednesday, Jun 24, 2026 by Pulumi
published on Wednesday, Jun 24, 2026 by Pulumi