Lyft Kubernetes with Vicki Cheung

The ridesharing infrastructure of Lyft has a high volume of traffic that is mostly handled by servers on AWS. When Vicki Cheung joined Lyft in 2018, the company was managing containers with an internally built container scheduler. One of her primary goals at the company was to move Lyft to Kubernetes.

In today’s episode, Vicki gives an overview of Lyft infrastructure and the core engineering problems within the company. One subject she touched on was the network communications between the user on a mobile phone and the cloud backend. This was a topic we explored in detail on a previous episode about Envoy Mobile with Matt Klein.

Vicki also discussed the broader Kubernetes ecosystem, as well as her time at OpenAI, where she managed infrastructure deployments for scheduling large machine learning jobs.

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Transcript

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