AWS Public Sector Blog

Category: Amazon Elastic Block Store (Amazon EBS)

How one nonprofit digitally transformed to support art and culture in a changing world

Tessitura Network, a member-owned nonprofit company, provides customer relationship management (CRM) technologies and services to performing arts, cultural, and entertainment organizations around the world. Tessitura integrates what used to be disparate components of running an arts and culture organization, and supports organizations to gain a full picture of their customers and patrons, to segment and analyze data for insights, and to build personalized engagements with donors and communities they serve—all using the cloud and Amazon Web Services (AWS).

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Analyze terabyte-scale geospatial datasets with Dask and Jupyter on AWS

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.

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Analyze controlled unclassified data with SAS Viya EKS on AWS GovCloud (US)

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.

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How UCL migrated its Moodle virtual learning environment to the cloud in 10 weeks

University College London’s (UCL) virtual learning environment, built on the Moodle learning management system, is at the heart of its digital education infrastructure and used by students all over the world. Before migrating to Amazon Web Services (AWS), its system could handle 2,500 concurrent users. But when the pandemic drove schools and universities to predominantly online teaching, the UCL team wanted to support six times this amount in just 10 weeks. Here’s how they did it with AWS.

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How using AI for predictive maintenance can help you become mission ready

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).

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Lake Michigan lighthouse

Modeling clouds in the cloud for air pollution planning: 3 tips from LADCO on using HPC

In the spring of 2019, environmental modelers at the Lake Michigan Air Directors Consortium (LADCO) had a new problem to solve. Emerging research on air pollution along the shores of the Great Lakes in the United States showed that to properly simulate the pollution episodes in the region we needed to apply our models at a finer spatial granularity than the computational capacity of our in-house HPC cluster could handle. The LADCO modelers turned to AWS ParallelCluster to access the HPC resources needed to do this modeling faster and scale for our member states.

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