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Build and automatize the management of your Sagemaker Studio Users using AWS CDK!

License: MIT No Attribution

Python 94.82% Batchfile 5.18%

aws-cdk-sagemaker-studio's Introduction

Build and automatize the management of your Sagemaker Studio Users using AWS CDK!

You should explore the contents of this project. It demonstrates a CDK app with an instance of a stack (sagemakerStudioCDK)

The cdk.json file tells the CDK Toolkit how to execute your app.

Deployment Steps

Pre-requisites:

An AWS profile with permissions to create AWS Identity and Access Management (AWS IAM) roles, Studio domains, and Studio user profiles
AWS CLI, authenticated and configured
Python 3.6+
AWS CDK
Git
Knowledge on how Amazon Sagemaker Studio works.

Step 1: Using your device’s command line, check out our Git repository to a local directory on your device:

git clone https://github.com/aws-samples/aws-cdk-sagemaker-studio

Step 2: Change directories to the new directory that was created during the previous step:

cd aws-cdk-sagemaker-studio/

Step 3: Create a virtual environment:

macOS/Linux: python3 -m venv .cdk-venv
Windows: python -m venv .cdk-venv

Step 4: Activate the virtual environment after the init process completes, and the virtual environment is created:

macOS/Linux: source .cdk-venv/bin/activate
Windows: .cdk-venv\Scripts\activate.bat

Step 5: Install the required dependencies:

pip3 install -r requirements.txt

Step 6: Synthesize the templates. AWS CDK apps use code to define the infrastructure, and when run, they produce, or “synthesize” an AWS CloudFormation template for each stack defined in the application:

cdk synthesize

Step 7: Deploy the solution.

cdk deploy sagemakerStudioCDK -c existing_vpc_id="<THE_VPC_ID_WHERE_TO_DEPLOY_SAGEMAKER_STUDIO>"

Review the resources that AWS CDK creates for you in your AWS account and choose yes to deploy the stack.

Wait for your stack to be deployed by checking the status on the AWS CloudFormation console.

Enjoy!

Useful commands

cdk ls list all stacks in the app
cdk synth emits the synthesized CloudFormation template
cdk deploy deploy this stack to your default AWS account/region
cdk diff compare deployed stack with current state
cdk docs open CDK documentation

Cleanup

Follow this step to remove the resources that were deployed in this post.

cdk destroy

When asked to confirm the deletion of the four stacks, select “y”.

Security

See CONTRIBUTING for more information.

License

This library is licensed under the MIT-0 License. See the LICENSE file.

aws-cdk-sagemaker-studio's People

Contributors

Stargazers

Watchers

Forkers

rajagopal2312 raja2312 comeddy amanveer shelleysu84 eu-central-1 theqi jawsgrant cogsci13 kawsark amritangshudey

aws-cdk-sagemaker-studio's Issues

Could not find any VPCs matching

I followed the README and when I run cdk synthesize I got the error:

[Error at /sagemakerStudioCDK] Could not find any VPCs matching {"account":"nnnnnnnnnn","region":"us-west-2","filter":{"isDefault":"true"},"returnAsymmetricSubnets":true}

Found errors

I modified app.py with the right region.

Is there a VPC I need to create before running this?

VPC Symmetry Error when running `cdk synthezize`

[Error at /sagemakerStudioCDK] Could not find any VPCs matching {"account":"","region":"us-east-1","filter":{"isDefault":"true"},"returnAsymmetricSubnets":true}
Found errors

How to create Sagemaker studio project?

P.S. Don't attach files. Please, prefer add code snippets directly in the message body.
I am trying to create sagemaker project following below steps:

create domain (using the example)
create user (using the example)
create jupyter app
create project

Code for creating jupyter app:

`class SagemakerStudioJupyterAppConstruct(Construct):

def __init__(self, scope: Construct,
             construct_id: str, *,
             app_name: str,
             app_type: str,
             domain_id: str,
             user_profile_name: str,
             depends_on=None, **kwargs) -> None:
    super().__init__(scope, construct_id)

    sagemaker_jupyter_app = sg.CfnApp(self, construct_id,
                                      app_name=app_name,
                                      app_type=app_type,
                                      domain_id=domain_id,
                                      user_profile_name=user_profile_name
                                      )
    sagemaker_jupyter_app.add_depends_on(depends_on_user_creation)`

Code for creating project:

`class SagemakerStudioProjectConstruct(Construct):

def __init__(self, scope: Construct,
             construct_id: str, *,
             project_name: str,
             project_description: str,
             product_id: str,
             depends_on=None,
             **kwargs) -> None:
    super().__init__(scope, construct_id)

    sagemaker_studio_project = sg.CfnProject(self, construct_id,
                                             project_name=project_name,
                                             service_catalog_provisioning_details={
                                                 "ProductId": "prod-7tjedn5dz4jrw"
                                             },
                                             project_description=project_description
                                             )`

Domain, user, jupyter app all gets created successfully. The problem comes in with project.
Below is the error :

Resource handler returned message: "Product prod-7tjedn5dz4jrw does not exist or access was denied (Service: SageMaker, Status Code: 400, Request ID: 768116aa-e77b-4691-a972-38b83093fdc4)" (RequestToken: 45ca2a0c-3f03-e3e0-f29d-d9443ff4dfc1, HandlerErrorCode: GeneralServiceException)

I am running this code from an ec2 instance that has SagemakerFullAccess
I also tried attaching SagemakerFullAccess execution role with project...but got the same error.

aws-samples / aws-cdk-sagemaker-studio Goto Github PK

aws-cdk-sagemaker-studio's Introduction

Build and automatize the management of your Sagemaker Studio Users using AWS CDK!

Deployment Steps

Useful commands

Cleanup

Security

License

aws-cdk-sagemaker-studio's People

Contributors

Stargazers

Watchers

Forkers

aws-cdk-sagemaker-studio's Issues

Could not find any VPCs matching

VPC Symmetry Error when running `cdk synthezize`

How to create Sagemaker studio project?

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