Tag: customer story

Japan’s Mount Fuji is famous for its height and width but it’s also reachable by novice hikers without lots of time on their hands due to the nation’s efforts to make it accessible. Now, the researchers behind one of the world’s fastest supercomputers, Fugaku, which is another name for Mt. Fuji, are trying to make the supercomputer just as accessible on the Amazon Web Services (AWS) Cloud. Read this post to learn more.

The Pacific Northwest National Laboratory (PNNL) developed Aether as a reusable framework for sharing data and analytics with sponsors and stakeholders. Aether is a mature cloud-centered framework designed using Amazon Web Services (AWS) serverless services to provide a cost-effective and reliable environment for a dozen projects currently deployed with the framework. Read this post to learn more about how Aether’s serverless-first approach is enabling disaster response and risk management.

UK Biobank, the world’s most comprehensive source of health data used for research, needed a purpose-built data platform with compute and data-storage capabilities that provided analysis tools in a centralized environment and the flexibility to manage increasing quantities of data. This led to the establishment and launch of the secure, cloud-based UK Biobank Research Analysis Platform (RAP), which is hosted on Amazon Web Services (AWS). Read this post to learn more about UK Biobank’s journey to becoming a globally accessible dataset for health researchers.

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.

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).

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.

With the help of Kyndryl and Amazon Web Services (AWS), Arizona’s Motor Vehicle Division (MVD) migrated its business service desk into Amazon Connect to improve customer service, increase efficiency, and save costs. Read this blog post to learn how the MVD continues innovating and enhancing services to better serve the people of Arizona.

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.

Eutelsat Group, the world’s first satellite operator to provide an integrated geosynchronous equatorial and low-Earth orbit (GEO-LEO) infrastructure, recently migrated their existing on-premises commercial Hadoop cluster to Amazon Web Services (AWS). Read this blog post to learn how Eutelsat reduced licensing costs by 50 percent, increased service availability to more than 99.8 percent, and decreased incidents after the migration.

The US Air Force (USAF) is responsible for more than 5,400 aircraft with an average age of 28 years. Read this blog post to learn how USAF employs predictive maintenance solutions, powered by Amazon Web Services (AWS), to predict when aircraft need to be grounded for repairs or updates, which helps maintain mission readiness while lowering maintenance costs.