Category: Amazon Simple Storage Service (S3)

In this post, the first in a two-part series, we focus on the detection and forensic readiness side of satellite IR. This post walks through instrumenting your ground segment with Amazon Web Services (AWS) security services and AWS Ground Station so that threats surface before they cause damage, and forensic data is already flowing when an incident occurs.

This blog covers what to do when those detections fire. Satellite incident response (IR) must account for constraints that ground-based systems never face: containment actions that wait for the next orbital pass, decisions that trade mission continuity against security, and recovery procedures where the compromised endpoint cannot be physically accessed. It walks through containment, eradication, recovery, automated runbooks, and tabletop exercises designed for satellite operations teams.

In this post, we explain what the Progressing Snapshot program is, what the program is for, who it is for, and how Amazon Web Services (AWS) helps you lay the foundation to address many of the 40 snapshot controls.

Learn how the Login.gov team implemented a robust long-term log retention system that solved multiple architectural challenges while using Amazon Web Services (AWS) account-level subscription filters to provide capabilities that other approaches couldn’t match.

This post explains how to build exactly that using Strands Agents and Amazon Bedrock. The entire solution runs in about 200 lines of Python code, and you can have it working on your computer after completing the pre-requisite steps.

Why preventive controls matter for FedRAMP 20x Organizations strengthen their security posture when Amazon Web Services (AWS) cloud resources consistently align with security and regulatory requirements. Preventive security controls, which are designed to minimize or avoid threat events, help enforce these requirements before misconfigurations are deployed. In this post, we show how service control policies […]

In this post, Marshall Moutenot shares how dynamical.org is making weather data products, including AI weather forecasts, accessible on AWS.

In this post, you’ll learn how KBR—a global science, technology, and engineering solutions organization—achieved a 33.5% cost savings and a 27.09% increase in pipeline processing speed by migrating geospatial processing workloads from an x86 Amazon Elastic Compute Cloud (Amazon EC2) M7i instance to AWS Graviton processors while maintaining data accuracy within 0.002% of x86 outputs.

Learn more about the Digital Research and Curation Center (DRCC), the group within the Sheridan Libraries that builds and manages digital infrastructure for open scholarship, migrated DSpace to the cloud with Amazon Web Services (AWS).

In this post, we share the winning projects, lessons learned, and how the experience continues to shape participants’ cloud careers at the Columbia X Amazon Bedrock Innovation Challenge.