Join us for a series of lightning talks on open source software in the enterprise. There'll be dinner, drinks, and plenty of opportunities for networking.
Please note that this event is on a first-come, first-serve basis for the first 100 RSVP'd people who arrive.
This event is hosted by Uber Technologies in partnership with Jet.com. Uber helps millions of people move towards opportunity every day in over 600 cities around the world.
Jet.com is the place to shop curated brands and city essentials online.
Check out upcoming events at Uber's Tech office here: https://www.meetup.com/Uber-Engineering-Events-New-York/
"Orchestrating a Symphony : Continuous Delivery at scale with Concord"
Vilas Veeraraghavan, Walmart Labs
As Continuous delivery (CD) transforms all businesses irrespective of type, this talk focuses on Walmart’s open source Concord project and how end-to-end automation of complex CD pipelines can be achieved in a hybrid cloud ecosystem with all the bells and whistles. Showcasing some case studies and achievements at Walmart scale, the talk will delve into the future of Continuous Integration (CI) and CD, which is surely going to be fueled by open source projects such as Concord.
Big Data often means big code, or rather, large amounts of it. At Spotify, we've open sourced Scio (pronounced "shee-oh") to allow us to write data pipelines of any size, from kilobytes to petabytes, in only a handful of lines of functional Scala code. Come see how common big data problems can be solved in fewer than 10 lines of code!
Director of Engineering, Walmart Labs
Vilas joined Walmart labs in 2017 and leads the teams responsible for the continuous integration, testing and deployment pipelines for eCommerce and stores. Prior to joining Walmart Labs, he had long stints at Comcast and Netflix, where he wore many hats as automation, performance and failure testing lead. He is an advocate for open source software in the enterprise.
Senior Engineer, Recommendations, Spotify
Peter Sobot is a senior software engineer at Spotify, focused on personalization and recommendations. His team uses machine learning and big data to power nearly every personalized feature at Spotify, including Discover Weekly, the Home page, and more. He graduated from the University of Waterloo in 2014, plays drums every weekend, and lives in Brooklyn.
Software Engineer, Uber NYC
Yuri Shkuro is a software engineer at Uber Technologies, working on distributed tracing, observability, reliability, and performance problems; author of the book "Mastering Distributed Tracing"; creator of Jaeger, Uber's open source distributed tracing system (a CNCF project); co-founder of the OpenTracing and OpenTelemetry projects (also in CNCF); invited expert in W3C Distributed Tracing Working Group.