Ride-sharing firm Lyft will continue to rely heavily in Kubernetes and microservices platforms in the race to offer mobility solutions that should eventually include AI-piloted cars in the very near future. This was a key point Vicky Cheung, engineering manager at Lyft, told Alex Williams, founder and editor-in-chief of The New Stack, hosted during a podcast recorded at KubeCon + CloudNativeCon 2018 in Shanghai.
After serving as head of engineering at OpenAI, a non-profit AI research group Tesla founder and CEO Elon Musk co-founded; Cheung joined Lyft after it had attempted to make the switch to a container-based stack a few years prior. This was “when like it was really, the hype was building up and everyone is trying to make the switch but before Kubernetes was a thing,” Cheung said.
Watch on YouTube: https://youtu.be/PZ3T-UEzdRs