CDK Constructs for AWS Lambda to AWS Sagemaker integration.
Project description
aws-lambda-sagemaker module
---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 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 This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.
Reference Documentation: | https://docs.aws.amazon.com/solutions/latest/constructs/ |
---|
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:
# 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
new LambdaToSagemaker(scope: Construct, id: string, props: LambdaToSagemakerProps);
Parameters
- scope
Construct
- id
string
- props
LambdaToSagemakerProps
Pattern Construct Props
Name | Type | Description |
---|---|---|
existingLambdaObj? | lambda.Function |
Existing instance of Lambda Function object, if this is set then the lambdaFunctionProps is ignored. |
lambdaFunctionProps? | lambda.FunctionProps |
User provided props to override the default props for the Lambda function. |
sagemakerNotebookProps? | sagemaker.CfnNotebookInstanceProps |
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 |
Existing instance of notebook object. If this is set then the sagemakerNotebookProps is ignored |
Pattern Properties
Name | Type | Description |
---|---|---|
lambdaFunction | lambda.Function |
Returns an instance of lambda.Function created by the construct |
sagemakerNotebook | sagemaker.CfnNotebookInstanceProps |
Returns an instance of sagemaker.CfnNotebookInstanceProps created by the construct |
sagemakerRole | iam.Role |
Returns the iam.Role created by the construct |
vpc? | ec2.Vpc |
Returns the ec2.Vpc created by the construct |
securityGroup? | ec2.SecurityGroup |
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file aws-solutions-constructs.aws-lambda-sagemaker-1.72.0.tar.gz
.
File metadata
- Download URL: aws-solutions-constructs.aws-lambda-sagemaker-1.72.0.tar.gz
- Upload date:
- Size: 70.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.7.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 4ffac7b19d433565e9d0dc4f58157d28601c7b2df2fddae7804d6a5f959ec25d |
|
MD5 | 22764f72f8a0931d3c3c501477c65ea7 |
|
BLAKE2b-256 | adac26c8277a0b3427bffa6be53f07ea518f9b434b7afcaa87f1f7436c9a941b |
File details
Details for the file aws_solutions_constructs.aws_lambda_sagemaker-1.72.0-py3-none-any.whl
.
File metadata
- Download URL: aws_solutions_constructs.aws_lambda_sagemaker-1.72.0-py3-none-any.whl
- Upload date:
- Size: 68.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.23.0 setuptools/46.1.3 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.7.6
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7bc7c11b36978ae68819b71ec27ecfbfe87f2a9c3bae0eceb97feec84a492dbf |
|
MD5 | ce33310dc33060890753f1f9ae9dad05 |
|
BLAKE2b-256 | de4444db5b3b1acd04ec9e79a205eac3ce3ef854ebf84c2a11f624ca24f1dba0 |