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Export models to SageMaker

Use the Domino API to export Domino model API endpoints to AWS SageMaker inference endpoints.

With a single API call, Domino bundles the model, prediction code, files, packages, and environment into a container image compatible with AWS SageMaker.

Call the API

After your Domino model API deploys and is up and running, you can send the following POST call to build a Docker image that is compatible with AWS SageMaker. Domino exports the Docker image to AWS ECR or any third-party container registry.

Request:
POST /:modelId/:modelVersionId/exportImageForSagemaker
Parameters:

As part of the API request, you provide credentials for the registry. These credentials are not saved in Domino and optionally work within a time-to-live (TTL) duration.

{
	"registryUrl": "ECR_URL_in_your_AWS_account", // ex. 1234567890.dkr.ecr.us-east-2.amazonaws.com
	"repository": "my_repo", // name of the repository in ECR
	"tag": "tag1", // (Optional)
	"username": "AWS", // (Optional)
	"password": "xxtokenxx" // (Optional)
}
Response:
{
	"modelId": "5555dbbd017416e4515555",
	"modelVersionId": "3333dbbd017416e4513333",
	"exportId": "3333dbbd017416e4513333",
	"status": "preparing"
}

Domino updates your model API image to comply with SageMaker inference requirements by doing the following:

  1. Adds an ENTRYPOINT instruction to the exported Docker image. To execute this in AWS, run it with 'docker run image serve'.

  2. Adds the /invocations endpoint to the container. This endpoint serves the model predictions.

  3. Adds the /ping endpoint to the container. This allows the hosted model to respond to periodic GET requests that track the state of the endpoint.

  4. Binds the container’s port to 8080, as required by SageMaker to serve predictions.

Note
 The API only builds and exports the image. It does not deploy it. You must deploy the image to SageMaker as part of your CI/CD or deployment workflow.

Troubleshooting

With Domino’s model export catalog, you can see a unified view of all exported models and their performance. With this view, you can track and manage all production assets from a single pane.

When you export a Domino Model to AWS SageMaker and create an endpoint from the exported Model, the endpoint might fail with the error "The primary container for production variant variant-name-1 did not pass the ping health check."

Use these steps to work around the issue:

  1. Add USER root in the environment Dockerfile instructions.

  2. Publish the model API from the new instructions.

  3. Export the same image in AWS SageMaker and create an endpoint.

Next steps

Integrate model deployment with CI/CD workflows