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aws-solutions-constructs.aws-lambda-sagemaker-1.72.0
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CDK Constructs for AWS Lambda to AWS Sagemaker integration.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | aws-solutions-constructs.aws-lambda-sagemaker-1.72.0 |
| نام | aws-solutions-constructs.aws-lambda-sagemaker |
| نسخه کتابخانه | 1.72.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Amazon Web Services |
| ایمیل نویسنده | - |
| آدرس صفحه اصلی | https://github.com/awslabs/aws-solutions-constructs.git |
| آدرس اینترنتی | https://pypi.org/project/aws-solutions-constructs.aws-lambda-sagemaker/ |
| مجوز | Apache-2.0 |
# aws-lambda-sagemaker module
<!--BEGIN STABILITY BANNER-->---
> 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 This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.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|`aws_solutions_constructs.aws_lambda_sagemaker`|
| Typescript|`@aws-solutions-constructs/aws-lambda-sagemaker`|
| 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
---
© Copyright 2020 Amazon.com, Inc. or its affiliates. All Rights Reserved.
نیازمندی
| مقدار | نام |
|---|---|
| ==1.72.0 | aws-cdk.aws-ec2 |
| ==1.72.0 | aws-cdk.aws-iam |
| ==1.72.0 | aws-cdk.aws-kms |
| ==1.72.0 | aws-cdk.aws-lambda |
| ==1.72.0 | aws-cdk.aws-sagemaker |
| ==1.72.0 | aws-cdk.core |
| ==1.72.0 | aws-solutions-constructs.core |
| <4.0.0,>=3.2.0 | constructs |
| <2.0.0,>=1.14.1 | jsii |
| >=0.0.3 | publication |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.6 | Python |
نحوه نصب
نصب پکیج whl aws-solutions-constructs.aws-lambda-sagemaker-1.72.0:
pip install aws-solutions-constructs.aws-lambda-sagemaker-1.72.0.whl
نصب پکیج tar.gz aws-solutions-constructs.aws-lambda-sagemaker-1.72.0:
pip install aws-solutions-constructs.aws-lambda-sagemaker-1.72.0.tar.gz