Tag: Amazon Athena

If you are hosting an ArcGIS web app today, then you are probably hosting it on a Windows or Linux server using traditional web server software like IIS or Apache. With the web hosting capability of Amazon S3 you can remove the need to run these servers and the maintenance, management, and monitoring overhead that comes with it. Serverless services like Amazon S3 can scale automatically and can be as simple as copying over your website assets to get up and running in minutes. This blog focuses on web app implementations using ArcGIS API for JavaScript (as other ArcGIS web apps have additional considerations).

Serverless applications are typically discreet pieces of code that customers can use to manage security-related processes or stitch together multiple AWS services to solve a larger problem. They allow customers to build and run applications and services without dealing with infrastructure management tasks such as server or cluster provisioning, patching, operating system maintenance, and capacity provisioning. In this blog, I explain the serverless computing model, the Serverless Application Repository (SAR), solution constructs and implementations, why they matter to our government customers, and how they can use them to solve common problems.

AWS and the National Institutes of Health’s (NIH) National Center for Biotechnology Information (NCBI) announced the creation of the Coronavirus Genome Sequence Dataset to support COVID-19 research. The dataset is hosted by the AWS Open Data Sponsorship Program and accessible on the Registry of Open Data on AWS, providing researchers quick and easy access to coronavirus sequence data at no cost for use in their COVID-19 research.

Unravelling the relationship between COVID-19 and air pollution is vital for protecting public health. For example, preliminary works suggest that those living in environments with polluted air are significantly more likely to be adversely affected by COVID-19. At the same time, air pollution is already known to cause an estimated one out of every eight deaths globally. The decrease in human activities due to COVID-19 lockdowns across the world has people wondering how air pollution levels are being impacted—and what valuable public health and policy lessons we can learn.

In 2014, the Wall Lab at Stanford University sought to answer one of the most pressing questions in neuroscience: What genes influence autism spectrum disorder (ASD)? According to the Centers for Disease Control (CDC), this neurodevelopmental disorder affects roughly one in 54 children in America and is on the rise—nearly tripling since 1992. In the lab’s study of ASD genetics, they chose the cloud—and a unique experimental approach—to speed the time to science.

If you are a scientific researcher, you are likely more interested in getting your research done than in the computational resources that you use to do it. You may think about ways to continue your research remotely with the rise in remote work. Did you know the cloud and Amazon Web Services (AWS) can accelerate your research and time to science? Here are five ways.

Data related to healthcare, in both volume and variety, is undergoing a tremendous expansion. One of the best ways to tackle complicated data integration is through a data lake: a centralized, curated, and secured repository that stores all your data, both in its original form and prepared for analysis. A data lake enables you to break down data silos and combine different types of analytics, such as data warehousing, big data processing, or operational analytics, to gain insights and guide better business decisions.

At the 2019 re:Invent conference in Las Vegas, Amazon Sustainability and the Amazon Sustainability Data Initiative (ASDI) hosted a four-hour workshop and hackathon to showcase ASDI’s collection of sustainability-related datasets and new ways to put those datasets to use. Called “Code Green,” the event also introduced conference attendees and participants to geospatial weather and climate data on Amazon Web Services (AWS).

With cyberattacks on the rise against higher education institutions, it is critical to detect vulnerabilities in the Docker images that may run your applications. This involves not just vulnerability scanning of the applications, but of the OS packages installed in a Docker image as well.