AWS Public Sector Blog

Category: Technical How-to

Visualize data lake address datasets on a map with Amazon Athena and Amazon Location Service geocoding

Many public sector customers in government, healthcare, and life sciences have data lakes that contain addresses (e.g., 123 Main Street). These customers frequently ask how they can quickly visualize these addresses on a geographic map to get a more intuitive understanding of how these addresses are distributed. In this post, learn how to use Amazon Athena and Amazon Location Service to perform ad hoc geocoding on an example dataset and visualize these geocoded addresses on an Amazon QuickSight map.

How to modernize legacy HL7 data in Amazon HealthLake

Healthcare providers and healthcare systems want to modernize their healthcare data exchanges so they can better analyze and gain more insight from their clinical data. In this walkthrough, learn how to use AWS to migrate legacy healthcare messaging data into Amazon HealthLake, which can use artificial intelligence (AI) and machine learning (ML) to discover meaningful and actionable healthcare information embedded in unstructured text.

How government agencies can vet external data in minutes with data interchange zones

Learn how government agencies can use AWS to build data interchange zones to automate their ability to ingest and validate data from other agencies or external entities in a secure manner. Automating this process can help agencies save time to focus on more strategic aspects of their mission.

How to set up MATLAB parallel cloud computing on AWS for researchers

Many researchers use MATLAB® from MathWorks, a programming and numeric computing platform, to analyze data, develop algorithms, and create models. As a researcher, you can leverage AWS to expand available computational resources right from your desktop or laptop. In this blog post, we walk through how to integrate MathWorks Cloud Center with AWS in order to accelerate scientific computation and innovation.

How to improve government customer experience by building a modern serverless web application in AWS GovCloud (US)

Modern applications built using microservices architectures improve customer experience by dramatically reducing the risk of failures in a web application. In this blog post, we present a sample AWS reference architecture of a microservices application built using an architecture framework based in AWS GovCloud (US), which can help support adherence to a Federal Risk and Authorization Management Program (FedRAMP) High Baseline.

Modernize Moodle LMS with AWS serverless containers

Moodle is a popular open source learning management system (LMS). Many education institutions are deploying and running Moodle on a physical hardware or virtual machine (VM) environment. They are looking to improve the scalability of their Moodle application to simplify operations and monitoring, and also optimize operating costs. One way to approach this is to use containers technology. In this blog post, learn how to deploy and run Moodle using serverless containers technology on AWS.

Virtualizing satellite communication operations with AWS

Virtualizing the satellite ground station with cloud technology can increase scalability, flexibility, and operational agility for satellite communications (satcom) operations. This blog post describes how AWS can help satcom customers virtualize their ground stations that are directly connected to satellite antenna systems. This post details the benefits of decoupling satellite ground station hardware and software components to improve scalability and flexibility. This post also presents a reference architecture to virtualize the satcom ground segment after the satellite signal is digitized at both ends of communication.

Navigating ISM and Essential Eight compliance with AWS Config for Australian government agencies

To help our Australian customers, AWS provides pre-built conformance packs for the Australian Cyber Security Centre (ACSC) Essential Eight Maturity Model and the ACSC Information Security Manual (ISM). The ACSC’s Essential Eight was first published in 2017 and is a set of prioritised security mitigation strategies designed to help protect organisations against various security threats. In this blog post, I walk you through how to set up a conformance pack in AWS Config that is designed to help you implement and track the ASCS Essential Eight model.

How to implement CNAP for federal and defense customers in AWS

In July 2021, the U.S. Department of Defense (DoD) released a cloud native access point (CNAP) reference design that follows zero trust architecture (ZTA) principles and provides a new approach to access mission owner (MO) applications. The DoD’s reference design discusses four core capabilities of CNAP: authenticated and authorized entities (C1), authorized ingress (C2), authorized egress (C3), and security monitoring and compliance enforcement (C4). In this blog post, we walk through how to establish the C2 component via a virtual internet access point (vIAP) with AWS. The proposed architectures can reduce operational cost and management overhead, while improving the accessibility, resiliency, and security of mission owner applications.

How to partition your geospatial data lake for analysis with Amazon Redshift

Data lakes are becoming increasingly common in many different workloads, and geospatial is no exception. In 2021, Amazon Web Services (AWS) announced geography and geohash support on Amazon Redshift, so geospatial analysts have the capability to quickly and efficiently query geohashed vector data in Amazon Simple Storage Service (Amazon S3). In this blog post, I walk through how to use geohashing with Amazon Redshift partitioning for quick and efficient geospatial data access, analysis, and transformation in your data lake.