Discover how DoorDash decoupled the control plane to build a stateless, “clusterless” ML feature store. Learn how we leveraged Apache Kvrocks and a custom Redis Cluster Manager to achieve 50ms P999 latency at 1.6B features/second.
Discover how DoorDash decoupled the control plane to build a stateless, “clusterless” ML feature store. Learn how we leveraged Apache Kvrocks and a custom Redis Cluster Manager to achieve 50ms P999 latency at 1.6B features/second.
Luigi Tagliamonte focuses on designing and building the highly scalable, distributed backend systems that power DoorDash's global infrastructure. With a deep specialization in distributed datastores and low-latency architectures, his recent work involves completely rethinking how machine learning features are served at massive scale. When he's not optimizing ML predictions or shaving milliseconds off P999 latencies, this authentic Italian is busy passionately defending the sanctity of pizza from its greatest threat: pineapple.
