Author: Itay Melamed

In the world of machine learning, data processing is a crucial phase that can often become a bottleneck in the MLOps (Machine Learning Operations) pipeline. This phase involves cleaning, transforming, and preparing data for training machine learning models. AWS SageMaker provides a robust solution for managing these tasks efficiently through its processing jobs. In this…

Intro In the ever-evolving realm of cloud infrastructure, orchestrating secure and scalable environments across multiple AWS accounts presents a unique set of challenges. This technical blog explores the significance of adopting a multi-account architecture in AWS, delves into the hurdles associated with multi-account deployments, and outlines a strategic solution utilizing Terraform, AWS CodePipeline, and Infrastructure…