Category: Compute

COVID-19 highlighted the existing shortage in personnel within healthcare and is now challenging many hospitals with high staff turnover and sick leave. Planerio created workforce management solutions that help healthcare organizations modernize their workforce administration. Their shift planning software uses artificial intelligence (AI) and takes into account a range of planning variables such as employee qualifications and availabilities, employee preferences and requests, requirements of different shifts and workplaces, legal regulations and tariffs, and more.

As schools and other educational institutions turn to remote learning solutions, organizations are reconsidering traditional IT infrastructure, aligning digital solutions to current learning and teaching models, and gearing towards the industry’s new measure of success: student engagement. A hybrid approach allows schools and districts to deploy both on-site and in the cloud, allowing staff and students to take advantage of productivity and collaboration services, to provide business and learning continuity. For more than a decade, To support critical learning applications and infrastructure during natural disasters and other disruptions, West Windsor-Plainsboro Regional School District chose to use VMware Cloud on AWS (VMC on AWS) to extend its on-premises VMware vSphere environment.

Today more than 200,000 volunteers around the world are helping accelerate research toward COVID-19 therapies—by walking away from their computers. That’s because of a concept called distributed computing, which allows anyone with a home computer, laptop, or virtual machine to contribute computing power to a common cause. This month, nonprofit Folding@home has started sharing one of the world’s largest public protein simulation databases as an AWS Open Data Set so that researchers around the world can easily access this data to speed up the search for therapies for COVID-19.

Efforts to prevent and combat homelessness are limited by the lack of comprehensive data about people experiencing homelessness. This makes it difficult for states to identify trends and emerging needs to respond and make data-driven decisions about the effective deployment of resources. The cloud can help bridge information silos. Read on for examples of how states use the cloud to bridge data silos and better serve the homeless.

The Water Institute of the Gulf runs its storm surge and wave analysis models on Amazon Web Services (AWS)—a task that sometimes requires large bursts of compute power. These models are critical in forecasting hurricane storm surge event (like Hurricane Laura in August 2020), evaluating flood risk for the Louisiana and other coastal states, helping governments prepare for future conditions, and managing the coast proactively.

Amazon Elastic Kubernetes Service (Amazon EKS) is now generally available in AWS GovCloud (US) Regions. Now government organizations and commercial organizations in government-regulated industries who adopt Kubernetes as their standard for orchestrating containers can use Amazon EKS to deploy a managed Kubernetes cluster on AWS. According to the 2019 Cloud Native Computing Foundation survey of their community, Amazon EKS is the leading method for deploying Kubernetes.

Government customers and commercial organizations in government-regulated industries can now connect their AWS Outposts to the AWS GovCloud (US) Regions. With this launch, users in AWS GovCloud (US) Regions can get a consistent AWS experience by accessing the same AWS infrastructure, services, APIs, and tools across on premises and the cloud.

Did you know AWS can help deliver an automated solution for creating the FedRAMP Integrated Inventory Workbook? This workbook needs to be updated and submitted to the FedRAMP Project Management Office (PMO) monthly for continuous monitoring. Automating this workbook saves manual work hours. Any customer going through the FedRAMP authorization process can leverage this workbook. Understand how to gather an inventory of AWS resources from AWS Config data to create the FedRAMP Integrated Inventory Workbook.

Mahmoud Khaled, a PhD student at TUM and a research assistant at LMU, researches how to improve safety-critical systems that require large amounts of compute power. Using AWS, Khaled’s research project, pFaces, accelerates parallelized algorithms and controls computational complexity to speed the time to science. His project findings introduce a new way to design and deploy verified control software for safety-critical systems, such as autonomous vehicles.

Dr. Nicholas Chilton and his research group at The University of Manchester’s Department of Chemistry in the School of Natural Sciences investigate the magnetic properties of molecules for high-density storage, quantum computing, and applications like MRI contrast agents. He turned to the cloud when the university’s onsite HPC cluster couldn’t provide the high-throughput compute power needed to answer his research questions.