Category: Analytics

For the more than 2,800 administrators across approximately 1,200 participating institutions in the US, that means access to near daily provided to them through Amazon Quick Sight on Amazon Web Services (AWS) by the eduroam team at Internet2. However, this wasn’t always the case. This post walks through how the eduroam team modernized their data reporting pipeline, the architecture behind it, and the impact it’s had on institutional engagement.

Every major agent framework has a security model for this. Amazon Web Services (AWS), Microsoft, and Google each ship agent solutions with authentication and credential management built in. Amazon Bedrock Agents, for example, enforces AWS Identity and Access Management (IAM)-based authorization on which AWS Lambda functions, Amazon Simple Storage Service (Amazon S3) buckets, and Amazon Bedrock Knowledge Bases an agent might invoke.

Credit unions exist to serve members, not to run data centers. Every hour our team spends on infrastructure is an hour not spent on the question a member actually cares about: “Is my money safe, is my experience easy, and is my credit union on my side?” Moving to a serverless, managed-service foundation on Amazon Web Services (AWS) means our engineers spend their time on membership modeling, fraud analytics, and AI augmentation instead of capacity planning.

Learn how the GDAC supports over 35 agencies, turning siloed information into the cross-agency insights Georgia’s policymakers need to better serve constituents.

Learn how researchers in the University of São Paulo Research Center in Greenhouse Gas Innovation (RCGI) greenhouse gas (GHG) program saw an opportunity to develop a system that enabled close monitoring of the forest using data systems and data spaces in the cloud. They created Digital Amazon, a distributed data space network with open access that integrates CO2 and greenhouse gas emissions data collected by the university with other data sources to support critical and timely climate action and intervention in the Amazon Forest.

Learn how the Boise State University Foundation transformed quarterly Microsoft Excel reports into real-time dashboards using Amazon Quick, a 780-fold improvement that fundamentally changed how leadership makes decisions. It extracts actionable insights from a decades-old legacy system while supporting a major comprehensive fundraising campaign.

Learn how The Ohio State University transformed their data infrastructure by migrating to Amazon Web Services (AWS), reducing critical data processing times by 50% while creating a unified data environment.

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.

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.