Tag: Amazon EKS

The era of the cloud has simply accelerated the push to microservices as organizations want to adopt new, distributed models for building applications to drive agility, innovation, and efficiency. The AWS portfolio of purpose-built databases can help with this movement. AWS offers a broad and deep portfolio of purpose-built databases that support diverse data models and allow customers to build data driven, highly scalable, distributed applications. This allows you to pick the best database to solve a specific problem and break away from restrictive commercial databases to focus on building applications to meet the needs of their organization.

AWS Partner ITZ Data, with support from UNICEF and the Canadian Embassy in Guatemala, helped Ministerio de Educación de Guatemala launch Mineduc Digital—the country’s first online platform where students can access digital self-study guides from any device connected to the internet. The Ministry implemented the solution in less than two months, paving the way for the digital transformation of their education system. The solution was built on AWS.

AlayaCare, a Canada-based health technology organization founded in 2014, offers a platform for home and community care organizations. The cloud-based platform provides an end-to-end solution for care providers, including back office functionality, client and family portals, remote patient monitoring, and mobile care worker functionality. AlayaCare aims to help care providers by arming them with the technology and data insights they need to deliver personalized care. Using AWS, AlayaCare is building their vision of the future of in-home and virtual care.

As students worldwide continue to attend classes virtually, teachers and parents are working to supplement student learning outside of the classroom. According to eLearning Industry, the shift to virtual learning has impacted student learning, engagement, and performance. Educators are looking for solutions to help keep students excited about learning. Four AWS EdStart Members from Brazil, China, India, and Thailand are using gamification to improve the virtual student experience and increase student performance by encouraging learning through play.

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.

To help support DIL environments, Amazon Web Services (AWS) created the Snow family of products to include the AWS Snowcone and AWS Snowball devices. The Snow family moves data processing and analysis as close as necessary to where data is created in order to deliver intelligent, real-time responsiveness and streamline the amount of data transferred. To address the challenges of edge of the edge computing, we use the Snowball Edge as a central management hub and a Snowcone as an outer edge device. This how-to shows how to use Rancher as a centralized Kubernetes management tool installed on a Snowball, which has been set up to manage a single-node Kubernetes cluster on a Snowcone. This configuration allows us to fully manage the containers running on one or more Snowcones from the Snowball itself.

Telehealth solutions make virtual, real-time interactions between patient and provider possible. These solutions can be beneficial for both patients and care providers, letting patients receive care without having to step into a doctor’s office—a key feature that has benefits for those in hard-to-reach or rural areas and patients with mobility issues. Additionally, these solutions can help reduce physical traffic in hospitals, which is imperative during the pandemic. Customers around the globe share how building on AWS, helps them scale, innovate, and operate at scale to improve the patient and care provider experience.

Amazon Elastic Kubernetes Service (Amazon EKS) is now generally available in AWS GovCloud (US) Regions. Now government organizations and commercial organizations in government-regulated industries who adopt Kubernetes as their standard for orchestrating containers can use Amazon EKS to deploy a managed Kubernetes cluster on AWS. According to the 2019 Cloud Native Computing Foundation survey of their community, Amazon EKS is the leading method for deploying Kubernetes.

AWS EdStart Members are on a mission to bridge the personalized learning gap between students and educational institutions through artificial intelligence (AI)-powered platforms built on Amazon Web Services (AWS). These organizations are enabling students to follow their own learning pathways across writing, math, and reading, at their own pace, anytime, and anywhere. Learn about these three AWS EdStart Members and how they adapt to student learning and virtually assist self-study.