Defending Every Layer: OSI Model Security with AWS Services

What AWS Services Keep You Protected on Each Level When designing secure systems in the cloud, the Open Systems Interconnection (OSI) model remains a valuable framework. Originally created to describe how data flows through a network, its seven-layer structure, from physical hardware to application-level communication, offers a clear way to think about where and how to apply […]

A Primer on Cost Saving Strategies for Deploying Models on the Cloud

How to think about cost savings for machine learning models Introduction The rise of organizations attempting to deploy and train custom Machine Learning models for specific purposes (such as demand forecasting, fraud detection, and more) has led to an increase in dependency on third-party cloud providers to host these models for training and inference purposes […]

SageMaker Training and Deployment with Custom Images

How and Why to Use Custom SageMaker Images If you have used SageMaker for data science modeling work, you have likely used the AWS-provided images to train your models and possibly deploy them to an endpoint. These provide images for scikit-learn, xgboost and deep-learning among other common frameworks. This article will address an issue we […]