Category: Developer Tools

NHS Digital launched NHS login, a serverless identity platform to facilitate access to a range of health and care apps for residents in England, with AWS, amongst other suppliers. Using the AWS Cloud, NHS Digital achieves scale, high availability, and security for citizens accessing these services, and helps users access NHS services quicker and more simply. NHS login is one of a number of services NHS Digital are hosting on the cloud as part of the UK government’s ‘Cloud First’ policy.

Several smart cities use FIWARE, an open source framework supporting the development of smart solutions. FIWARE leverages sensing data from Internet of Things (IoT) devices, then collects, stores, and analyzes data with an API call. One FIWARE component, Orion Context Broker, gathers context information from diverse sources such as mobile apps, IoT devices, and social networking services, and manages the lifecycle of this context information, from registrations, updates, queries, and subscriptions. In this blog post, we address building Orion Context Broker on AWS. Learn how to deploy Orion Context Broker and Cygnus on AWS with AWS Cloud Development Kit (AWS CDK) and Docker Compose quickly.

How do you predict and prepare for your citizens’ health and wellness needs during the COVID-19 pandemic? Healthier Lancashire and South Cumbria Integrated Care System (ICS) quickly scaled a platform on AWS to support the 1.8 million people in their region with Nexus Intelligence, an interactive health intelligence application with a suite of predictive models against various measures of need and health outcomes. Nexus Intelligence not only supported the ICS response to the pandemic, but is expected to help reconfigure and re-invest in services to improve the health and well-being of the population and reduce health inequalities.

Healthcare organization Dr. B launched to get as many COVID-19 vaccines into as many arms as possible. To achieve its mission to make access to care—specifically the COVID-19 vaccine—more efficient and equitable, the company created a serverless solution built on Amazon Web Services (AWS).   

The AWS Cloud gives you access to virtually unlimited infrastructure suitable for high performance computing (HPC) workloads. With HPC, you can remove long queues and waiting times so you don’t have to choose availability over performance. In this technical guide, learn how to use AWS ParallelCluster to set up and manage an HPC cluster in a flexible, elastic, and repeatable way.

Vaccine demand brought unprecedented load to the launch of Texas A&M Health’s vaccination sign-up site. The Texas A&M Health team used AWS to develop a solution to reduce outages and errors, and scale REDCap to get vaccines to Texans.

To help protect investments on ML, government organizations can securely store ML source code. Storing Amazon SageMaker Studio code in an AWS CodeCommit repository enables you to keep them as standalone documents to reuse in the future. SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps required to prepare data and build, train, and deploy models. Read on to learn the steps to configure a git-based repository on CodeCommit to manage ML code developed with SageMaker.

Amazon Web Services (AWS) launched Amazon CodeGuru (Preview), a machine learning service for automated code reviews and application performance recommendations, at AWS re:Invent 2019. The new service helps development teams find code defects or performance issues and gives recommendations to improve code quality, saving time and expense.

According to a survey of attendees at the AWS DC Public Sector Summit in 2019, 74% of government IT professionals believe their agencies hold onto data centers longer than they should. Monolithic methods of deployment impact speed, performance, and cost. With microservices, customers can break their monoliths into smaller business units, making it easier to migrate and manage systems in the cloud. This post outlines how customers can migrate from on-premises data centers to the cloud and break away from monolithic methods of deployment using microservices and containers.

What if someone in a hospital room or public train station suddenly falls due to a stroke or other health issue? An automated monitoring system like AWS DeepLens, a deep learning-enabled video camera for developers, could detect such falls and contact emergency services in a timely manner. Using AWS DeepLens, I created a solution.