AWS Public Sector Blog

Category: AWS CloudFormation

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ASPPH scales data curation for members with a data lake on AWS

The Association of Schools and Programs of Public Health (ASPPH) — a nonprofit association with a vision for improved health and well-being for everyone, everywhere — partnered with Amazon Web Services (AWS) Professional Services (AWS ProServe) to move their curated data to a managed data lake on AWS. In this blog post, we share how ASPPH and AWS designed and built the data lake and the results of moving to a modern, scalable data architecture.

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Cloud incident response at UNSW with digital forensics powered by AWS

In the digital age, universities face increasing cyber threats that put valuable data at risk. The University of New South Wales (UNSW) is taking proactive measures to address this growing concern. Read this blog post to learn how UNSW is collaborating with Amazon Web Services (AWS) to modernize its IT infrastructure and bolster cybersecurity defenses as part of its cloud transformation program.

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How to migrate to the new AWS Ground Station Agent launching March 28

On March 28, Amazon Web Services (AWS) will release a new version of the AWS Ground Station Agent (agent), which is not compatible with past agent releases. In order to maintain operational continuity of Ground Station environments, agent users must follow the instructions provided in this blog post before upgrading to the March 28 version of the agent.

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Creating AWS CloudFormation templates for AWS Ground Station DigIF workloads

Amazon Web Services (AWS) Ground Station has many different parameters and options to choose from when creating a contact and setting up data delivery. For this reason, it is advised that infrastructure as code (IaC) is used. This post is the first of a two-part tutorial that provides an overview of the resources required to create AWS CloudFormation templates for Digital Intermediate Frequency (DigIF) workloads, using AWS Ground Station to transmit data between the satellite and AWS Cloud environment.

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How credit unions can evaluate their FFIEC, NCUA cyber compliance using AWS

Credit unions face unique security, regulatory, and compliance obligations. These requirements mean that a sound cybersecurity posture is essential for credit unions across both cloud workloads and on-premises technology. Read this blog post to learn how Amazon Web Services (AWS) can help credit unions prepare for audits, assess security posture, and produce documentation for state or federal regulators.

Securing and automating compliance in the public sector with AWS

Compliance is essential, but ensuring compliance in the cloud with various regulations and standards can be challenging, especially for public sector organizations. The requirements are highly dynamic, constantly evolving, and they vary across countries. Read this blog post to learn about the Amazon Web Services (AWS) resources that can help customers meet compliance requirements, reduce their time and effort, and focus on core business objectives.

Using machine learning to customize your nonprofit’s direct mailings

Many organizations perform direct mailings, designed to support fundraising or assist with other efforts to help further the organization’s mission. Direct mailing workflows can use everything from a Microsoft Word mail merge to utilizing a third-party mailing provider. By leveraging the power of the cloud, organizations can take advantage of capabilities that might otherwise be out of reach, like customized personalization at scale. In this walkthrough, learn how organizations can utilize machine learning (ML) personalization techniques with AWS to help drive better outcomes on their direct mailing efforts.

Analyzing vehicle fleet location data from a data lake with AWS

At AWS, many public sector customers operate fleets of vehicles (e.g. emergency response, public transportation) that generate location data, which is ultimately stored in a data lake. These customers frequently ask how they can quickly visualize this data and extract insights that can help them optimize how they operate their vehicle fleets. In this post, learn how to use Amazon Athena and Amazon Location Service to perform ad hoc reverse geocoding on a notional dataset of vehicle location history, and visualize the results on an Amazon QuickSight map.

How to build an Aadhaar Data Vault on AWS

An Aadhaar number is a 12-digit unique identification number issued by the Unique Identification Authority of India (UIDAI) to every individual in India. Considering the sensitivity of the Aadhaar number and the potential implication of having one’s Aadhaar number compromised, UIDAI mandated the need for all Aadhaar and Aadhaar-related data to be encrypted and stored separately in a secure, access-controlled data repository known as an Aadhaar Data Vault. This blog post explains how government and private entities that collect, process, and store Aadhaar data for various use cases can use AWS CloudHSM from AWS to create an Aadhaar data storage solution that can meet guidelines provided by UIDAI.

How to deliver performant GIS desktop applications with Amazon AppStream 2.0

Geospatial datasets are increasingly large, reaching terabyte and even petabyte scale, which can cause many challenges for geospatial analysts and educators–but Amazon AppStream 2.0 can provide some solutions. In this blog post, we walk through how to deploy QGIS, a no cost, open-source geospatial information system (GIS) application used by geospatial analysts, in Amazon AppStream 2.0. We also load an example dataset to demonstrate how desktop GIS application users can access large, cloud-hosted geospatial datasets with high performance by keeping the data and compute components together on the cloud, and streaming the desktop application instead of downloading the data itself.