AWS Public Sector Blog

Tag: Amazon EKS

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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Satellogic

Satellogic makes Earth observation data more accessible and affordable with AWS

Satellogic, a leader in high-resolution Earth observation (EO) data collection, is creating a live catalog of Earth and delivering daily updates to create a complete picture of our planet for decision makers so that they can tackle some of the biggest challenges of our time. Satellogic uses Amazon Web Services (AWS) to scale its live Earth catalog, enhance customer experiences, decrease data processing times, and optimize costs.

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How Booz Allen obtains C-ATO to accelerate service delivery in federal organizations using AWS

Government agencies are moving to speed up service delivery, but agencies need to obtain an Authority to Operate (ATO) that demonstrates security compliance prior to implementation, which can take a significant amount of time and can prove to be a challenge in meeting tight deadlines. AWS Partner Booz Allen Hamilton (Booz Allen) uses a platform as a service model on Amazon Web Services (AWS) to enable their customers to rapidly build, test, scan, and deploy their applications — accelerating releases in the federal government from months to days.

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Using the cloud to get rental assistance quickly to those in need

Even before the pandemic, many people were rent burdened, with a quarter of renters paying more than half their income on rent. US Congress approved two bills containing $45 billion for emergency rental assistance programs (ERAP) that states and local governments can use to support people in need. Distributing these funds quickly and efficiently requires local agencies to rapidly design and deploy new engagement models, programs, and workflows that are easy to use, that can quickly scale up to meet demand, and are flexible enough to adjust to changes in federal and local requirements. Learn how these AWS customers and partners are leveraging the cloud to quickly launch and distribute benefit assistance programs like emergency rental assistance.

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Purpose-built databases: The model for building applications in the cloud

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.

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Mineduc Digital app on a smart phone

Enabling remote education in Guatemala with scalable learning platform Mineduc Digital

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.

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Alayacare

AlayaCare reimagines in-home and virtual care with 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.

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Using gamification to increase student engagement: Hot AWS EdStart startups

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.

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Photo by Hunter Harritt on Unsplash

Modern data engineering in higher ed: Doing DataOps atop a data lake on AWS

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.

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The COVID-19 infodemic: How Novetta uses machine learning to analyze unproven narratives on social media

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.

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