COVID-19

Tracking COVID-19 using Quarkus, AMQ Streams, and Camel K on OpenShift

Tracking COVID-19 using Quarkus, AMQ Streams, and Camel K on OpenShift

In just a matter of weeks, the world that we knew changed forever. The COVID-19 pandemic came swiftly and caused massive disruption to our healthcare systems and local businesses, throwing the world’s economies into chaos. The coronavirus quickly became a crisis that affected everyone. As researchers and scientists rushed to make sense of it, and find ways to eliminate or slow the rate of infection, countries started gathering statistics such as the number of confirmed cases, reported deaths, and so on. Johns Hopkins University researchers have since aggregated the statistics from many countries and made them available.

In this article, we demonstrate how to build a website that shows a series of COVID-19 graphs. These graphs reflect the accumulated number of cases and deaths over a given time period for each country. We use the Red Hat build of Quarkus, Apache Camel K, and Red Hat AMQ Streams to get the Johns Hopkins University data and populate a MongoDB database with it. The deployment is built on the Red Hat OpenShift Container Platform (OCP).

Continue reading “Tracking COVID-19 using Quarkus, AMQ Streams, and Camel K on OpenShift”

Share
AI vs COVID-19: How Java helps nurses and doctors in this fight

AI vs COVID-19: How Java helps nurses and doctors in this fight

DevNation Tech Talks are hosted by the Red Hat technologists who create our products. These sessions include real solutions plus code and sample projects to help you get started. In this talk, you’ll learn how OptaPlanner has helped keep medical staff and patients safer with advanced planning algorithms, from Geoffrey De Smet and Edson Yanaga.

Continue reading AI vs COVID-19: How Java helps nurses and doctors in this fight

Share