A million likes/second: Real-time interactions on Live Video
When someone like Reid Hoffman streams a live video on LinkedIn about a popular topic like startups, tens of thousands of viewers will watch it concurrently. Typically, hundreds of likes on the video will be distributed in real-time to all of these viewers. That amounts to a million likes/second distributed to viewers per live video. How do we make this massive real-time interaction possible across the globe? In this talk, I’ll do a technical deep-dive into how we use the Play/Akka Framework and a scalable distributed system to enable live interactions like likes/comments at massive scale.
Akhilesh is the technical lead for LinkedIn's Real-time delivery infrastructure and LinkedIn Messaging. He has been working on the revamp of LinkedIn’s offerings to instant, real-time experiences. Before this, he was the head of engineering for the Ride Experience program at Uber Technologies in San Francisco where he led a large team of backend, web, iOS and Android engineers to build delightful mobile products and infrastructure for the core Uber rider application. He holds a Masters degree in CS from Stanford University.