In the realm of distributed databases, Apache Cassandra stands out as a significant player.
Category Archives: engineering
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.
Personalizing the DoorDash Retail Store Page Experience
The DoorDash retail shopping experience mission seeks to combine the best parts of in-person shopping with the power of personalization.
Atlantis Hardening and Review Fatigue
Many organizations use infrastructure-as-code (IaC) with pull request (PR) automation to provide a more secure, safe environment for making infrastructure changes.
API-First Approach to Kafka Topic Creation
DoorDash’s Engineering teams revamped Kafka Topic creation by replacing a Terraform/Atlantis based approach with an in-house API, Infra Service.
Transforming MLOps at DoorDash with Machine Learning Workbench
It is amusing for a human being to write an article about artificial intelligence in a time when AI systems, powered by machine learning (ML), are generating their own blog posts.
How DoorDash Manages Mobile Releases
Regularly releasing updates to the App Store and Play Store is more complex than might be expected, especially for teams at scale and even more so when there are multiple apps to ship.
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.