Category: Amazon Elastic File System (EFS)
Terabytes of Earth Observation (EO) data are collected each day, quickly leading to petabyte-scale datasets. By bringing these datasets to the cloud, users can use the compute and analytics resources of the cloud to reliably scale with growing needs. In this post, we show you how to set up a Pangeo solution with Kubernetes, Dask, and Jupyter notebooks step-by-step on Amazon Web Services (AWS), to automatically scale cloud compute resources and parallelize workloads across multiple Dask worker nodes.
SAS Viya is a highly available, cloud-native analytics platform. The latest version of SAS Viya on Amazon Elastic Kubernetes Service (Amazon EKS) allows customers to receive all of Kubernetes’ advantages without the trouble of maintaining their own Kubernetes infrastructure. Plus, customers also inherit AWS compliance controls, which can accelerate the journey to achieving FedRAMP authority to operate (ATO) in AWS US Regions. In this post, we show the key components of the SAS Viya architecture along with its core features to help customers on their journey to the cloud.
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.
“Action cannot be completed because the system is out of date.”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.