Skip to main content
This tutorial implements the following AWS architecture for handling a SageMaker Batch Transformer.
The transformer generates an event that kicks off a Lambda function. The transformer generates the model inputs and predictions used by the lambda function. A separate process is assumed to process actuals as they are received in the system. The below file is a Jupyter notebook file that should be uploaded to the Sagemaker Notebook Instance.
https://storage.googleapis.com/arize-phoenix-assets/assets/images/arize-docs-images/cookbooks/gc.png

Google Colaboratory

The Notebook file builds a lambda package in a Gzip to upload to AWS. The below file is the Lambda python function, this should be uploaded to a SageMaker Notebook Instance along with the above notebook.

tutorials_python/lambda_function.py at main · Arize-ai/tutorials_python

GitHub