Metadata-Version: 2.1
Name: aws-solutions-constructs.aws-lambda-sagemaker
Version: 1.70.0
Summary: CDK Constructs for AWS Lambda to AWS Sagemaker integration.
Home-page: https://github.com/awslabs/aws-solutions-constructs.git
Author: Amazon Web Services
License: Apache-2.0
Project-URL: Source, https://github.com/awslabs/aws-solutions-constructs.git
Platform: UNKNOWN
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: JavaScript
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Typing :: Typed
Classifier: License :: OSI Approved
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Requires-Dist: aws-cdk.aws-ec2 (<1.71.0,>=1.70.0)
Requires-Dist: aws-cdk.aws-iam (<1.71.0,>=1.70.0)
Requires-Dist: aws-cdk.aws-kms (<1.71.0,>=1.70.0)
Requires-Dist: aws-cdk.aws-lambda (<1.71.0,>=1.70.0)
Requires-Dist: aws-cdk.aws-sagemaker (<1.71.0,>=1.70.0)
Requires-Dist: aws-cdk.core (<1.71.0,>=1.70.0)
Requires-Dist: aws-solutions-constructs.core (<1.71.0,>=1.70.0)
Requires-Dist: constructs (<4.0.0,>=3.0.4)
Requires-Dist: jsii (<2.0.0,>=1.13.0)
Requires-Dist: publication (>=0.0.3)

# aws-lambda-sagemaker module

<!--BEGIN STABILITY BANNER-->---


![Stability: Experimental](https://img.shields.io/badge/stability-Experimental-important.svg?style=for-the-badge)

> All classes are under active development and subject to non-backward compatible changes or removal in any
> future version. These are not subject to the [Semantic Versioning](https://semver.org/) model.
> This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.

---
<!--END STABILITY BANNER-->

| **Reference Documentation**:| <span style="font-weight: normal">https://docs.aws.amazon.com/solutions/latest/constructs/</span>|
|:-------------|:-------------|

<div style="height:8px"></div>

| **Language**     | **Package**        |
|:-------------|-----------------|
|![Python Logo](https://docs.aws.amazon.com/cdk/api/latest/img/python32.png) Python|`aws_solutions_constructs.aws_lambda_sagemaker`|
|![Typescript Logo](https://docs.aws.amazon.com/cdk/api/latest/img/typescript32.png) Typescript|`@aws-solutions-constructs/aws-lambda-sagemaker`|
|![Java Logo](https://docs.aws.amazon.com/cdk/api/latest/img/java32.png) Java|`software.amazon.awsconstructs.services.lambdasagemaker`|

This AWS Solutions Construct implements the AWS Lambda function and Amazon Sagemaker Notebook with the least privileged permissions.

Here is a minimal deployable pattern definition in Typescript:

```python
# Example automatically generated without compilation. See https://github.com/aws/jsii/issues/826
from aws_solutions_constructs.aws_lambda_sagemaker import LambdaToSagemakerProps, LambdaToSagemaker
from aws_cdk.core import Aws

lambda_to_sagemaker_props = LambdaToSagemakerProps(
    lambda_function_props=FunctionProps(
        code=lambda_.Code.from_asset(f"{__dirname}/lambda"),
        runtime=lambda_.Runtime.NODEJS_12_X,
        handler="index.handler"
    )
)

construct = LambdaToSagemaker(stack, "test-lambda-sagemaker-stack", lambda_to_sagemaker_props)
```

## Initializer

```text
new LambdaToSagemaker(scope: Construct, id: string, props: LambdaToSagemakerProps);
```

*Parameters*

* scope [`Construct`](https://docs.aws.amazon.com/cdk/api/latest/docs/@aws-cdk_core.Construct.html)
* id `string`
* props [`LambdaToSagemakerProps`](#pattern-construct-props)

## Pattern Construct Props

| **Name**     | **Type**        | **Description** |
|:-------------|:----------------|-----------------|
|existingLambdaObj?|[`lambda.Function`](https://docs.aws.amazon.com/cdk/api/latest/docs/@aws-cdk_aws-lambda.Function.html)|Existing instance of Lambda Function object, if this is set then the lambdaFunctionProps is ignored.|
|lambdaFunctionProps?|[`lambda.FunctionProps`](https://docs.aws.amazon.com/cdk/api/latest/docs/@aws-cdk_aws-lambda.FunctionProps.html)|User provided props to override the default props for the Lambda function.|
|sagemakerNotebookProps?|[`sagemaker.CfnNotebookInstanceProps`](https://docs.aws.amazon.com/cdk/api/latest/docs/@aws-cdk_aws-sagemaker.CfnNotebookInstance.html)|Optional user provided props to override the default props for a Sagemaker Notebook.|
|deployInsideVpc?|[`boolean`]()|Optional user provided props to deploy inside vpc. Defaults to `true`.|
|existingNotebookObj?|[`sagemaker.CfnNotebookInstanceProps`](https://docs.aws.amazon.com/cdk/api/latest/docs/@aws-cdk_aws-sagemaker.CfnNotebookInstance.html)|Existing instance of notebook object. If this is set then the sagemakerNotebookProps is ignored|

## Pattern Properties

| **Name**     | **Type**        | **Description** |
|:-------------|:----------------|-----------------|
|lambdaFunction|[`lambda.Function`](https://docs.aws.amazon.com/cdk/api/latest/docs/@aws-cdk_aws-lambda.Function.html)|Returns an instance of lambda.Function created by the construct|
|sagemakerNotebook|[`sagemaker.CfnNotebookInstanceProps`](https://docs.aws.amazon.com/cdk/api/latest/docs/@aws-cdk_aws-sagemaker.CfnNotebookInstance.html)|Returns an instance of sagemaker.CfnNotebookInstanceProps created by the construct|
|sagemakerRole|[`iam.Role`](https://docs.aws.amazon.com/cdk/api/latest/docs/@aws-cdk_aws-iam.Role.html)|Returns the iam.Role created by the construct|
|vpc?|[`ec2.Vpc`](https://docs.aws.amazon.com/cdk/api/latest/docs/@aws-cdk_aws-ec2.Vpc.html)|Returns the ec2.Vpc created by the construct|
|securityGroup?|[`ec2.SecurityGroup`](https://docs.aws.amazon.com/cdk/api/latest/docs/@aws-cdk_aws-ec2.SecurityGroup.html)|Returns the ec2.SecurityGroup created by the construct|

## Default settings

Out of the box implementation of the Construct without any override will set the following defaults:

### AWS Lambda Function

* Configure limited privilege access IAM role for Lambda function
* Enable reusing connections with Keep-Alive for NodeJs Lambda function

### Amazon SageMaker

* Configure least privilege access IAM role for the SageMaker Notebook Intance
* Deploy SageMaker NotebookInstance inside the VPC
* Enable server-side encryption for the SageMaker NotebookInstance using Customer Managed KMS Key

## Architecture

![Architecture Diagram](architecture.png)

---


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