Tag: Amazon EC2

AWS Application Migration Service (MGN) is a highly automated lift-and-shift solution, which works by replicating your on-premises (physical or virtual) and/or cloud servers into your AWS account. When you’re ready, AWS MGN automatically converts and launches your servers on AWS so you can quickly benefit from the cost savings, productivity, resilience, and agility of the cloud. This guide teaches you how to migrate a content management system platform (CMS), based on an example with WordPress, running on a simulated on-premises environment to AWS Cloud, using MGN.

Moving to AWS helped The University of the West Indies, Open Campus (UWIOC) improve performance of systems and operational efficiency while optimizing costs. Learn how UWIOC migrated more than 70 virtual machines, 10 applications, and five networks, plus their Moodle learning management system (LMS) and the UWIOC website, while saving 50 percent total cost of ownership along the way.

Canada’s history is rich, but not without its scars. The need for documentation and analysis has never been greater. Library and Archives Canada (LAC) is the custodian of Canada’s distant past and recent history—and Amazon Web Services (AWS) is helping expand its reach.

Predictive maintenance solutions involve using artificial intelligence (AI) algorithms and data analytics tools to monitor operations, detect anomalies, and predict possible defects or breakdowns in equipment before they happen. To help keep aircraft mission ready, the Air Force turned to PavCon, LLC, (PavCon), a woman-owned small business, to create an actionable predictive maintenance solution powered by Amazon Web Services (AWS).

Using AWS, Edunation seamlessly responded to increasing demand during the COVID-19 pandemic. Edunation collaborates with top educational institutions across the Middle East and North Africa (MENA) region and provides all-in-one learning and school management solutions. Today, the EdTech is on a mission to push learning management systems (LMS) beyond virtual classrooms.

About 40 million MRI scans are performed in the United States every year. MRIs are a valuable part of diagnostic plans, but as they exist today, they may not always be a part of a patient’s care plan. A research team at the New York University (NYU) Langone Center set out to make MRIs more accessible for more patients by using artificial intelligence (AI), machine learning (ML), and the power of cooperative open data sharing.

“Action cannot be completed because the system is out of date.” Every technology user understands the frustration of getting this message. When Bucknell University turned to the cloud to modernize their Enterprise Resource Planning (ERP) system, they found unexpected gifts along the way: more cost savings, better solutions, and best of all, new “found” time to devote to high impact projects.

Computational biology is undergoing a revolution. However, the analysis of single cells is a hard problem to solve. Standard statistical techniques used in genomic analysis fail to capture the complexity present in single-cell datasets. Open Problems in Single-Cell Analysis is a community-driven effort using AWS to drive the development of novel methods that leverage the power of single-cell data.

This is a guest post by Maria Teleńczuk, research engineer at the Paris-Saclay Center for Data Science (CDS), and Alexandre Gramfort, senior research scientist at INRIA, the French National Institute for Research in Digital Science and Technology. Maria and Alexandre explain how they adapted their open source data challenge platform RAMP to train the models submitted by student challenge participants using Amazon Elastic Compute Cloud (Amazon EC2) Spot instances, and how they leveraged AWS to support three student challenges.

OCEARCH is a data-centric organization built to help scientists collect previously unattainable data about the ocean. Their mission is to accelerate the ocean’s return to balance and abundance, through innovation in scientific research, education, outreach, and policy, using unique collaborations of individuals and organizations in the US and abroad. As part of the Amazon Sustainability Data Initiative (ASDI), we invited Fernanda Ubatuba, president and COO at OCEARCH, to share how her organization is making strides in helping ocean conservation and how AWS is supporting her mission.