Python on AWS

In this post, we demonstrate how to use SageMaker AI to apply the Random Cut Forest (RCF) algorithm to detect anomalies in spacecraft position, velocity, and quaternion orientation data from NASA and Blue Origin’s demonstration of lunar Deorbit, Descent, and Landing Sensors (BODDL-TP).

In this post, we focus on the Amazon Nova Canvas image generation model. We then provide an overview of the image generation process (diffusion) and dive deep into the input parameters for text-to-image generation with Amazon Nova Canvas.

Deploying AWS Elastic Disaster Recovery at scale provides robust protection for your infrastructure. The DRS Settings Tool is an invaluable resource for updating settings across your infrastructure efficiently. In this post, we show you how to setup and use the DRS Settings Tool to update all your Elastic Disaster Recovery source server settings in bulk.

In this post, we walk you through the process to build an automated mechanism using Amazon SageMaker to process your log data, run training iterations over it to obtain the best-performing anomaly detection model, and register it with the Amazon SageMaker Model Registry for your customers to use it.