Category: Amazon Elastic Block Store (Amazon EBS)

In 2022, Emory launched the AI.Humanity initiative to explore the societal impacts of artificial intelligence (AI) and influence its future development to serve humanity. Emory aims to be a leading advocate for ethical use of AI and a top destination for students and faculty seeking to understand and apply its transformative technologies. Read this blog post to learn how Emory uses Amazon Web Services (AWS) to support the computing needs of AI.Humanity.

On March 28, Amazon Web Services (AWS) will release a new version of the AWS Ground Station Agent (agent), which is not compatible with past agent releases. In order to maintain operational continuity of Ground Station environments, agent users must follow the instructions provided in this blog post before upgrading to the March 28 version of the agent.

Credit unions face unique security, regulatory, and compliance obligations. These requirements mean that a sound cybersecurity posture is essential for credit unions across both cloud workloads and on-premises technology. Read this blog post to learn how Amazon Web Services (AWS) can help credit unions prepare for audits, assess security posture, and produce documentation for state or federal regulators.

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.

Attacks on digital citizen services can cause citizens to lose trust in their governments. Services such as real estate land title searches, emergency response, and more need to be operational in times of need. As an IT leader for digital citizen services, your mission to automate incident management runbooks is necessary. Learn how the automation of incident response starts with what you already have: your existing incident response runbook.

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).

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.

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.

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).