Tim Knapik and Stas Sajin    We’ve traditionally relied on A B testing at DoorDash to guide our decisions. However, when precision and speed are crucial, this method often falls short. The limited sensitivity of A B tests their ability to detect real differences between groups can result in users being exposed to suboptimal...

Seed Zeng, Kane Du, Donovan Bai, Luke Christopherson and Zachary Shaw    DoorDash is supporting an increasingly diverse array of infrastructure use cases as the company matures. To maintain our development velocity and meet growing demands, we are transitioning toward making our stateful storage offerings more self serve. This journey began with Kafka, one of our most...

Jessica Zhang, Caixia Huang, Shawn Wu and Angela Yuan    As part of our ongoing efforts to enhance product development while safeguarding app health and the consumer experience, we are introducing metric aware rollouts for experiments. Metric aware rollouts refer to established decision rules to flag issues with automated checks on standardized app...

Demetrius Nunes    DoorDash is expanding its international presence and opening up a brand new office in Sà o Paulo, Brazil. Sà o Paulo is a burgeoning tech hub filled with incredible engineering talent and we welcome innovators to come join us as we write the beginning of DoorDash’s story in Brazil. Click here to...

Nimesh Sinha    DoorDash has redefined the way users explore local cuisine. Our highly interactive notification system has been an integral part of this experience by not only keeping users updated about deliveries but also by acting as a pathway to personalized restaurant recommendations. Our notifications are...

Dave Press and Stas Sajin    When it comes to reducing variance in experiments, the spotlight often falls on sophisticated methods like CUPED Controlled Experiments Using Pre Experiment Data . But sometimes, the simplest solutions are the most powerful and most overlooked like reducing or eliminating dilution. This...

Steven Xu and Sree Chaitanya Vadrevu    DoorDash’s retail catalog is a centralized dataset of essential product information for all products sold by new verticals merchants merchants operating a business other than a restaurant, such as a grocery, a convenience store, or a liquor store. Within the retail catalog, each SKU, or stock...

Yunji Zhong, Amit Gud and Carlos Herrera    Real time event processing is a critical component of a distributed system’s scalability. At DoorDash, we rely on message queue systems based on Kafka to handle billions of real time events. One of the challenges we face, however, is how to properly validate the system before going live....

Chi Zhang, Lewis Warne, Ziqi Jiang, Qingyang Xu, Hubert Jenq, Jianzhe Luo and Pradeep Varma    The DoorDash ETA team is committed to providing an accurate and reliable estimated time of arrival ETA as a cornerstone DoorDash consumer experience. We want to ensure that every customer can trust our ETAs, ensuring a high quality experience in which their food arrives on time every time. With...

Konstantin Shulgin, Satish Subhashrao Saley and Anish Walawalkar    We reviewed the architecture of our global search at DoorDash in early and concluded that our rapid growth meant within three years we wouldn’t be able to scale the system efficiently, particularly as global search shifted from store only to a hybrid item and store search experience. Our...