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When companies move to microservices, they need to address a new challenge of setting up distributed tracing to identify availability or performance issues throughout the platform. While various tools offered on the market or through open-source perform this task, there is often a lack of standardization, making leveraging these tools costly or complicated. As DoorDash ...
As applications grow in complexity, memory stability is often neglected, causing problems to appear over time. When applications experience consequences of problematic memory implementations, developers may find it difficult to pinpoint the root cause. While there are tools available that automate detecting memory issues, those tools often require re-running the application in special environments, resulting ...
Migrating functionalities from a legacy system to a new service is a fairly common endeavor, but moving machine learning (ML) models is much more challenging. Successful migrations ensure that the new service works as well or better than its legacy version. But the complexity of ML models makes regressions more likely to happen and harder ...
Learn how we migrated our pricing logic to microservices
A large number of our DoorDash deliveries happen during the evening and in late night hours. Dashers, our delivery partners, were finding it really hard to use the Dasher app because the app’s bright screens did not adapt to the lower lighting conditions. The abundance of white in the design meant that critical information, such ...
Given the importance of time in our services and the need to scale, java.time works much better than primitives.
In a business with fluid dynamics between customers, drivers, and merchants, real-time data helps make crucial decisions which grow our business and delights our customers. Machine learning (ML) models play a big role in improving the experience on our platform, but models can only be as powerful as their underlying features. As a result, building ...
A scalable solution for supporting multiple iOS apps means leveraging a common app library and design language system.
DoorDash's decision engine empowers customer service agents to deliver consistent, effective solutions for customer issues.
At DoorDash, getting forecasting right is critical to the success of our logistics-driven business, but historical data alone isn’t enough to predict future demand. We need to ensure there are enough Dashers, our name for delivery drivers, in each market for timely order delivery. And even though it seems like people’s demand for food delivery ...
In September of 2019 I had one child and another on the way. At the same time, I was working as a software engineer, a career often notable for late nights and weekend work. In addition, my focus in supporting infrastructure usually requires a rotating on-call, where I might need to troubleshoot an outage outside ...