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title: "How DoorDash Built a Next-Generation Real-Time Dispatch Platform Engineering ML Infrastructure Optimization"
description: "DoorDash published an engineering account of a redesign of its real-time dispatch platform."
retrieval_nugget: "DoorDash published an engineering account of a redesign of its real-time dispatch platform."
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what_changed: "DoorDash’s real-time dispatch rearchitecture is a distinct engineering case study, reporting tenfold throughput and 99.9% of runs under 20 seconds."
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source_url: "https://careersatdoordash.com/blog/how-doordash-built-a-next-generation-real-time-dispatch-platform"
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# How DoorDash Built a Next-Generation Real-Time Dispatch Platform Engineering ML Infrastructure Optimization

## Retrieval answer

DoorDash published an engineering account of a redesign of its real-time dispatch platform.

DoorDash published an engineering account of a redesign of its real-time dispatch platform. The company says peak demand was nearly four times the legacy system’s dispatch processing capacity, while the prior algorithms scaled roughly quadratically. Its new design separates a stateful coordinator from stateless distributed compute nodes, with localized payload sharding over gRPC. DoorDash reports tenfold higher throughput and 99.9% of runs completing in under 20 seconds. The account presents the change as a way to balance optimization quality, latency, reliability, and extensibility in a critical-path logistics system. These metrics and claims are company-reported; the post does not provide independent validation.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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