DoorDash leverages interleaving designs to boost experimentation sensitivity, enabling faster, more precise insights compared to traditional A/B testing.

Learn how DoorDash built a Kafka self-serve platform to streamline infrastructure management, empower engineers, and enhance scalability and security.

Discover how DoorDash uses metric-aware rollouts to enhance app health and user experience while innovating product development strategies.

Discover how DoorDash implemented a multi-tenancy awareness system for both Kafka producers and consumers.

DoorDash proactively embeds privacy into its products by geomasking user address data while maintaining local analytic capabilities.

In this post, we will describe how we built an eBPF-powered agent to monitor networking traffic within our Kubernetes clusters.

DoorDash's evolution from restaurant deliveries to a diverse business portfolio is powered by a robust logistics platform.

DoorDash leverages Large Language Models to build a product knowledge graph that captures relationships between millions of consumer goods.