AWS Public Sector Blog

Category: Technical How-to

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Connectivity patterns between AWS GovCloud (US) and AWS commercial partition

AWS GovCloud (US) was architected to have isolation (both physically and logically) from other AWS partitions for compliance. For this reason, AWS services, used to privately interconnect virtual private cloud (VPC) hosted resources within the same partition like AWS PrivateLink, Amazon Virtual Private Cloud (Amazon VPC) peering, or AWS Transit Gateway peering, cannot span from AWS GovCloud (US) to commercial Regions natively by design. In this post, we will highlight four connectivity patterns customers can use to interconnect VPC hosted systems cross partition.

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Using Protective DNS services with AWS workloads

Protective DNS services, commonly known as PDNS, are a go-to solution if you’re aiming to bolster the security of your infrastructure from the ground up. Unlike traditional methods involving software-based agents or devices for traffic filtering, PDNS services take a unique approach – they scrutinise the DNS requests made by users and adjust responses based on predefined rules within the service. In this post, we explore the seamless integration of PDNS services with workloads in the Amazon Web Services (AWS) Cloud, showcasing their effectiveness in enhancing cybersecurity within cloud environments.

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University of Nebraska-Omaha’s ITD Lab migrates to Amazon Aurora with Babelfish, reducing database costs

The IT for Development (ITD) Lab at the University of Nebraska at Omaha previously migrated their ETeams application to Amazon Web Services (AWS) because they did not want to manage the underlying infrastructure. With a limited staff, they could focus more on building new functionality in the ETeams application and less on performing mundane maintenance tasks. While the application was performing well, the ITD Lab’s director wanted to lower the monthly costs. This blog post explores an alternative to an SQL Server database that is just as performant but at a lower cost.

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Build a personalized student companion powered by generative AI on Amazon Bedrock

The advent of generative artificial intelligence (AI) and large language models (LLMs) present a transformative opportunity to address long-standing educational challenges around creating more personalized learning. In this post, we explain how to implement a personalized, self-paced student companion that addresses the challenges of tailored learning support by harnessing the power of AI to create a personalized, adaptive learning companion that caters to the diverse needs and skillsets of learners.

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How Pearson improves its resilience with AWS Fault Injection Service

Chaos engineering, often misunderstood as intentionally breaking the production environment, aligns with the Amazon Web Services (AWS) Well-Architected Reliability pillar. Its purpose is to methodically simulate real-world disruptions in a controlled manner, spanning service providers, infrastructure, workloads, and individual components. In this blog post, we show how Pearson PLC, an AWS education technology (EdTech) customer, successfully implemented resilient architectures through chaos engineering using AWS Fault Injection Service (FIS).

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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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The benefits of running controlled substance databases with AWS

Healthcare authorities and providers use state-run controlled substance databases (CSDs) to track prescriptions and identify patients for substance abuse. CSDs help evaluate treatment options, screen patients who may be at risk for drug abuse problems, and make informed decisions about prescribing medication. This post explains how healthcare authorities can leverage CSD data to enhance their decision-making processes within business operations by using Amazon Web Services (AWS).

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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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Singapore Eye Research Institute categorizes retinal diseases using Amazon Rekognition

Amazon Rekognition, a code-free automated machine learning (AutoML) service from Amazon Web Services (AWS), showed impeccable diagnostic performance in categorizing various retinal diseases using optical coherence tomography (OCT) scans. This blog post details the steps to use Amazon Rekognition Custom Labels to train a model that categorizes retinal diseases and the process of training and fine-tuning convolutional neural networks (CNNs), the standard deep learning methodology.