Tag: AWS serverless

Northwestern University Libraries’ (NUL) relationship with Amazon Web Services (AWS) helped lead to innovative approaches to NUL’s digital collections suite. Read this post to learn how NUL leveraged an open-source standard and AWS Lambda to make it simpler for researchers to examine, compare, share, and cite images and audio/visual files across libraries.

Many public sector customers are interested in building secure, cost-effective, reliable, and highly performant applications. Technologies like containerization and serverless help customers migrate and modernize their applications. In this blog post, learn how public sector customers use offerings from AWS like AWS Lambda, Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Elastic Container Service (Amazon ECS) to build modern applications supporting diverse use cases, including those driven by machine learning (ML) and generative artificial intelligence (AI). If you want to learn more on this topic, please register to attend the webinar series, Build Modern Applications on AWS.

SkillsFuture Singapore (SSG), a statutory board under the Ministry of Education (MOE), aims to promote a culture of lifelong learning in Singapore and strengthen the country’s ecosystem of industry-relevant training and adult education. SSG provides access to high quality, industry-relevant training, and jobs and skills insights. To power their digital training portal and make sure every Singaporean has access to training resources, education opportunities, and more, SSG uses AWS.

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.

At the Baylor College of Medicine Human Genome Sequencing Center (BCM HGSC), we aim to advance precision medicine and research in genomics. In that effort, we joined the ambitious All of Us Research Program funded by the National Institutes of Health (NIH) to help deliver genomic data to over one million individuals across the United States. In early 2019, we estimated that processing whole genome samples for this megaproject would imply a scale-up of over four times the production workload of our center. We used AWS to support our new pipeline demands, which saved time, reduced costs, and created new opportunities for future development.

More than 400 regional and local organizations working to address homelessness in the United States are using a new tool by the U.S. Department of Housing and Urban Development (HUD) to better understand and address the homelessness challenge. Those agencies, also known as “Continuums of Care (CoCs),” can use the tool to visualize the situation they are helping address and optimize their responses.

Best Friends Animal Society, a leading national animal welfare organization dedicated to ending the killing of dogs and cats in America’s shelters, is going all-in on AWS as its standard for machine learning workloads.