Episode 7: Scalability from an ML perspective with Hypefactors

Scalability is a challenge that most product-focused AI startups are happy to have. Having more traffic coming into your algorithm means more users, but it also adds a whole other level of complexity. In this episode we will look at some of the most crucial questions related to scalability. We will do this by zooming in on the use case of Hypefactors, which has already gone through three significant scaling rounds. Christina Pamela is talking to Hypefcator’s CTO: Viet Yen Nguyen, about how he & his team approached scalability early on and how they currently tackle a scaling situation where they anticipate hundreds of thousands of users on their platform. This episode also looks at what makes scalability hard, the symptoms of scalability issues, how complexity manifests itself (typical concurrent + distributed computing issues), and how to tackle complexity (vertical scaling vs. horizontal scaling).