DoorDash Engineering Blog

Backend

Failure Mitigation for Microservices: An Intro to Aperture

Learn how centralizing service monitoring and controlling into a single system improves upon individual service level mitigation efforts

Cong Ma

Matt Ranney 19 Minute Read

Backend

How to Speed up Local Development of a Docker Application running on AWS

Building a local development environment can speed up innovation. Learn DoorDash's process in this technical guide and demo example

Mac Watrous 22 Minute Read

Backend

How DoorDash Designed a Successful Write-Heavy Scalable and Reliable Inventory Platform

Keeping billions of items up to date requires a reliable write-heavy inventory platform. Learn how we built this system with Cockroach DB

Chuanpin Zhu

Debalin Das 18 Minute Read

Machine Learning

Lifecycle of a Successful ML Product: Reducing Dasher Wait Times

Read how DoorDash's product development life cycle works in this new ML blog post about how we optimized when orders are sent to merchants

Rita Golovonevsky

Ram Tripathi 13 Minute Read

Backend

How We Scaled New Verticals Fulfillment Backend with CockroachDB

To address the scalability issues in moving to new verticals our team migrated from PostgreSQL to CockroachDB as its new storage engine.

Yin Zhang

Nikhil Pujari

Kevin Chen

ThulasiRam Peddineni 14 Minute Read

Mobile

How We Reduced Our iOS App Launch Time by 60%

Learn how DoorDash went about optimizing our customers' experience and making continuous improvements in app launch times

Filip Busic 7 Minute Read

Backend

How to Build a Flexible Customer Support Platform with Kotlin

Learn how DoorDash upgraded our Customer and Support Platform to support new verticals by migrating to a no code platform powered by Kotlin

Kishore Guruswamy

Han Huang 8 Minute Read

Mobile

How to Speed Up SwiftUI Development and Testing Using PreviewSnapshots

Check out PreviewSnapshots, an open-source preview snapshot tool that can share configurations between Xcode previews and snapshot tests

John Flanagan 9 Minute Read

Machine Learning

How DoorDash Upgraded a Heuristic with ML to Save Thousands of Canceled Orders

Learn how DoorDash engineering utilized ML models to o accurately track Merchants' operational status and ability to full fill orders.

Slava Nikitin

Gabriel Lerner 8 Minute Read

Machine Learning

Selecting the Best Image for Each Merchant Using Exploration and Machine Learning

In order to inspire DoorDash consumers to order from the platform there are few tools more powerful than a compelling image, which raises the questions: what is the best image to show each customer, and how can we build a model to determine that programmatically using each merchant’s available images? Out of all the different ...