RealTime

Overview

The following notebook and lambda function implement the following architecture.

The SageMaker inference pipeline is deployed as a SageMaker endpoint. A Lambda function is generated that is tied to an external endpoint. When a realtime HTTP call is made the lambda function process the call, calls the SageMaker endpoint and returns the data.

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 the the Sagemaker Notebook Instance.

Google Colaboratory

The Lambda function Python is below:

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

Both the Jupyter Notebook and the Python file should be uploaded to a Notebook Instance.