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Scala Image

Overview

A Scala kernel that is a compatible as a Bring-Your-Own Image in SageMaker Studio.

The image is based on the Almond Scala Kernel and comes with Almond version 0.10.3 and Scala version 2.13.

Building the image

Build the Docker image and push to Amazon ECR.

# Modify these as required. The Docker registry endpoint can be tuned based on your current region from https://docs.aws.amazon.com/general/latest/gr/ecr.html#ecr-docker-endpoints
REGION=<aws-region>
ACCOUNT_ID=<account-id>


# Build the image
IMAGE_NAME=custom-scala
aws --region ${REGION} ecr get-login-password | docker login --username AWS --password-stdin ${ACCOUNT_ID}.dkr.ecr.${REGION}.amazonaws.com/smstudio-custom
docker build . -t ${IMAGE_NAME} -t ${ACCOUNT_ID}.dkr.ecr.${REGION}.amazonaws.com/smstudio-custom:${IMAGE_NAME}
docker push ${ACCOUNT_ID}.dkr.ecr.${REGION}.amazonaws.com/smstudio-custom:${IMAGE_NAME}

Using with SageMaker Studio

Create a SageMaker Image with the image in ECR.

# Role in your account to be used for the SageMaker Image
ROLE_ARN=<role-arn>

aws --region ${REGION} sagemaker create-image \
    --image-name ${IMAGE_NAME} \
    --role-arn ${ROLE_ARN}

aws --region ${REGION} sagemaker create-image-version \
    --image-name ${IMAGE_NAME} \
    --base-image "${ACCOUNT_ID}.dkr.ecr.${REGION}.amazonaws.com/smstudio-custom:${IMAGE_NAME}"

# Verify the image-version is created successfully. Do NOT proceed if image-version is in CREATE_FAILED state or in any other state apart from CREATED.
aws --region ${REGION} sagemaker describe-image-version --image-name ${IMAGE_NAME}

Create a AppImageConfig for this image

aws --region ${REGION} sagemaker create-app-image-config --cli-input-json file://app-image-config-input.json

Create a Domain, providing the SageMaker Image and AppImageConfig in the Domain creation. Replace the placeholders for VPC ID, Subnet IDs, and Execution Role in create-domain-input.json

aws --region ${REGION} sagemaker create-domain --cli-input-json file://create-domain-input.json

If you have an existing Domain, you can also use the update-domain

aws --region ${REGION} sagemaker update-domain --cli-input-json file://update-domain-input.json