Online ordering and delivery have become an increasingly popular lifestyle.
Tag Archives: backend
Part 1: How DoorDash leveraged its product knowledge graph to enable a high-velocity tagging and badging experience
In 2023, DoorDash launched a number of item badges — user interface (UI) components that highlight key product attributes, such as the number of items in stock, as shown in Figure 1.
Experiment Faster and with Less Effort
Business Policy Experiments Using Fractional Factorial Designs
At DoorDash, we constantly strive to improve our experimentation processes by addressing four key dimensions, including velocity to increase how many experiments we can conduct, toil to minimize our launch and analysis efforts, rigor to ensure a sound experimental design and robustly efficient analyses, and efficiency to reduce costs associated with our experimentation efforts.
Cassandra Unleashed: How We Enhanced Cassandra Fleet’s Efficiency and Performance
In the realm of distributed databases, Apache Cassandra stands out as a significant player.
Meeting DoorDash Growth with a Self-Service Logistics Configuration Platform
DoorDash has grown from executing simple restaurant deliveries to working with a wide variety of businesses, ranging from grocery, retail and pet supplies.
Staying in the Zone: How DoorDash used a service mesh to manage data transfer, reducing hops and cloud spend
There have been many benefits gained through DoorDash’s evolution from a monolithic application architecture to one that is based on cells and microservices.
Privacy Engineering at DoorDash Drive
DoorDash proactively embeds privacy into our products.
Leveraging Flink to Detect User Sessions and Engage DoorDash Consumers with Real-Time Notifications
At Doordash, we value every chance to boost order conversions in the app.
Revamping Dasher FAQ Hub Through Server-Driven Content and WebView
At DoorDash, dashing is highly process dependent.
How DoorDash Standardized and Improved Microservices Caching
As DoorDash’s microservices architecture has grown, so too has the volume of interservice traffic.