AWS Public Sector Blog
Category: AWS Step Functions
How Rize Credit Union built a serverless data lake on AWS to become its own source of truth
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.
Campaign reporting transformation at Boise State University Foundation
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.
An incident response playbook for satellite operations on AWS (Part-1): Detection and forensic readiness
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.
An incident response playbook for satellite operations on AWS (Part-2): Automated response and recovery
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.
Building an editorial AI assistant to support peer review with AWS Generative AI Innovation Center
Learn how BMJ Group has developed an AI-powered editorial assistant designed to help journal editors screen submitted research manuscripts to make better decisions about which papers to send for further peer review, which to reject, and why.
Scaling biomedical research on AWS: A cloud-native approach to scientific data management
This post explores how cloud-native architectures built using Amazon Web Services (AWS) help research institutions manage, curate, publish, and analyze complex scientific datasets at scale.
Deep dive into FedRAMP 20x Key Security Indicators: Decoding the 63 KSIs
In this post, we break down every KSI theme, categorize each indicator by validation approach, and provide a practical gap analysis framework so you can begin preparing your cloud service offering (CSO) for FedRAMP 20x authorization on Amazon Web Services (AWS).
AWS Professional Services collaborates with NOAA and GAMA-1 Technologies to expand NESDIS Common Cloud Framework capabilities
AWS Professional Services has partnered with the National Environmental Satellite, Data, and Information Service (NESDIS), part of the National Oceanic and Atmospheric Administration (NOAA), alongside GAMA-1 Technologies to broaden the scope and capabilities of the NESDIS Common Cloud Framework (NCCF). This work supports NOAA’s ability to ingest, manage, process, and disseminate critical environmental data. Read this post to learn more.
Efficient large-scale serverless data processing for slow downstream systems
This post demonstrates how to build serverless workflows on AWS that process such data using AWS Step Functions and integrate with downstream systems that have concurrency limitations.
Breaking barriers: How AWS is revolutionizing the accessibility of federal agency communications for people with visual disabilities
In this post, we discuss a solution that uses AWS services to improve government communication accessibility and meet federal accessibility requirements. The serverless architecture automates document-to-speech conversion and delivers information to citizens with visual disabilities.









