Automatically detect and deploy the latest sagemaker model on sagemaker model registry to the endpoint. Value addition: replace/update the existing endpoint (with same name)

Question

Hi,

I have a sagemaker pipeline (training pipeline) which creates a new version of the ML model on a periodical basis with retraining and pushes that version to model registry inside a studio. I want a deployment pipeline to automatically pick the latest model version from sagemaker model registry and deploy the model into an endpoint. I would like to know the full details of the deployment pipeline (services and generic script).

If you can also suggest me how to update/replace the existing older endpoint with the new one (or may be replacing the older model within the existing endpoint with the new model version) it would be a great value addition! The only constraint here is that the endpoint name should be same (say 'delivery-model-latest')

Accepted Answer

Hi,

AWS SageMaker list-models ( see https://awscli.amazonaws.com/v2/documentation/api/latest/reference/sagemaker/list-models.html for CLI version - See https://boto3.amazonaws.com/v1/documentation/api/1.26.98/reference/services/sagemaker/client/list_models.html for Python) will allow you to list all models.

There is a sort-by parameter with which you can sort by creationTime.

Re. update, you can add you new model and remove the oldest one by following  https://docs.aws.amazon.com/sagemaker/latest/dg/add-models-to-endpoint.html

If you need to be more sophisticated (blue/green deployment, etc.), please follow https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateEndpoint.html

Finally, best practices for model deployment: https://docs.aws.amazon.com/sagemaker/latest/dg/deployment-best-practices.html

Best,

Didier

Automatically detect and deploy the latest sagemaker model on sagemaker model registry to the endpoint. Value addition: replace/update the existing endpoint (with same name)

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