Oct. 19, 2022, 5:22 p.m. | Ransaka Ravihara

Towards Data Science - Medium towardsdatascience.com

A brief introduction to AWS SageMaker local mode

Photo by EJ Strat on Unsplash

Introduction

As you may have experienced, debugging a pipeline is time-consuming in a cloud environment. Since our programs interact with cloud-hosted services, we have many points to consider compared to the local environment. For example, imagine your pipeline failed due to a version issue in the last step of the pipeline. Maybe it has been running for 2 hours before failing. In that case, your money …

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