Collecting and moving over a billion data records through a pipeline each day is a heavy job, but when it comes to turning that stream of raw data into useful applications, smaller is better. Let's explore how tiny, containerized Node.js apps can work together to process megabytes of information every second, swarming to meet rapidly changing needs while minimizing compute costs.
Samantha Quiñones is a polyglot hacker and systems architecture expert. Over the course of her 17-year career, she has built software and led teams for some of the largest names in financial services and digital media and is currently a Principal Software Engineer on the content platform team at AOL. Samantha is an accomplished writer and frequent speaker at technology conferences, a participant in the White House Data Jam on STEM Workforce Quality, Flow, and Diversity and has been recognized by the Huffington Post as one of the top Latinas in American Media.