Category: Education

Since universities typically face reliable bursts of traffic, such as on admissions day, they are not often concerned with the ability to scale infinitely—a key reason for going serverless. By doing so with AWS, the University of York now has the ability to scale down to zero, which helps the university better manage applications, reduce costs, and increase agility.

Modern data engineering covers several key components of building a modern data lake. Most databases and data warehouses, to an extent, do not lend themselves well to a DevOps model. DataOps grew out of frustrations trying to build a scalable, reusable data pipeline in an automated fashion. DataOps was founded on applying DevOps principles on top of data lakes to help build automated solutions in a more agile manner. With DataOps, users apply principles of data processing on the data lake to curate and collect the transformed data for downstream processing. One reason that DevOps was hard on databases was because testing was hard to automate on such systems. At California State University Chancellors Office (CSUCO), we took a different approach by residing most of our logic with a programming framework that allows us to build a testable platform. Learn how to apply DataOps in ten steps.

The COVID-19 pandemic is driving a parallel “infodemic”: the rapid spread of competing and often harmful narratives about the virus. Social media plays a central role in this infodemic, serving as a forum for the spread and evolution of theories and beliefs with origins in broadcast, print, online news, blogs, and other digital arenas. As the COVID-19 infodemic grew, Novetta used AWS to create Rapid Narrative Analysis (RNA), a solution that achieves accuracy by using human expertise at critical stages of analysis while using machine learning (ML) models to rapidly diagnose the severity of the spread of key narratives at a speed needed to take effective action.

As the COVID-19 pandemic spread across the globe in the initial months of 2020, colleges and universities saw their regular learning plans upended. In many instances, in only a week, higher education institutions reconfigured their pedagogical infrastructure for hundreds or thousands of students with widely varying requirements and learning environments. Given the circumstances and the tight timeframe, it was natural for many schools to rely on their existing learning management systems (LMS) in order to transition to fully online learning. Learn how Simpson College went several steps further, leveraging its Moodle LMS not only to provide its courses but also to fuel success for students and the institution, and set up a new way of operating beyond the pandemic.      

To better support the growing use of cloud computing resources with increasing data- and compute-intensive research and education workloads, the National Science Foundation’s (NSF) Directorate for Computer and Information Science and Engineering (CISE) announced the Cloud Access solicitation in September 2018. The NSF, through its competitive merit review process, selected CloudBank. Researchers that use CloudBank gain access to advanced hardware resources such as CPUs, GPUs, FPGAs, ASICs, and quantum processing units (QPUs). In addition, CloudBank offers proposal assistance, facilitated cloud access and account management, monitoring and resource usage optimization, and eliminates university overhead/indirect costs, and provides curated training materials, classroom, and help desk support.

As a result of COVID-19, the Jamaican Ministry of Education, Youth and Information (MOEY) selected One on One as the country’s official virtual school to expand online learning across the country. One on One Educational Services (One on One), a Jamaica-based, an e-learning solutions provider operating across the Caribbean, meets learners’ needs with their secure, resilient learning management platform built on AWS. The platform helped 44,025 students complete their school curriculum, despite the pandemic’s classroom disruption. One on One for Classroom® reached a peak of 12,000 students in attendance on a single day and 235,520 students in attendance throughout the entire period.

Today, Amazon Web Services (AWS) announced Service Workbench on AWS, a web portal for researchers to deploy domain-specific data and tools on secure IT environments in minutes not months. Customers can accelerate research while promoting repeatability, multi-site collaboration, and cost transparency in the research process. Tailored for researchers, Service Workbench helps quickly and securely stand up research environments for their work, allowing them to focus on the research not the technology.

As education has shifted to remote delivery, traditional mechanisms for engaging students and creating practical learning opportunities have had to adapt too. One mechanism—the hackathon—is increasingly taking place virtually. Typically, hackathons are in-person technology events where teams or individuals create solutions to a specific problem or challenge in a short timeframe, often 24 hours or a weekend. Hackathons are also social learning events where peers can connect, learn from each other, seek support from technical experts, and produce a cool (even if imperfect) solution. Cloud technology tools and resources can help virtual hackathons be as successful as traditional hackathons.

Nobody wants to lose data—and setting a Recovery Point Objective (RPO) to zero makes this intent clear. Customers with government mission-critical systems often need to meet this requirement, since any amount of data loss will cause harm. RPO covers both resilience and disaster recovery—everything from the loss of an individual physical disk to an entire data center. Existing systems support RPO zero through a combination of architecture patterns (including resilient messaging) and on-premises legacy databases. Frequently interpreted as a database or storage requirement, providing for RPO zero requires thinking about the entire system. To do so, you can use AWS services and architecture patterns, which provide resilience to failure with clustering, auto scaling, and failover across multiple data centers within one region.

Public sector organizations—from state and local governments, to nonprofits, federal, and defense agencies—often ask us, “How does Amazon innovate?” Our approach centers on four pillars that help us innovate on behalf of our customers: culture, mechanisms, architecture, and organization.