Many organizations use infrastructure-as-code (IaC) with pull request (PR) automation to provide a more secure, safe environment for making infrastructure changes.
Category Archives: engineering
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.
Nurturing Engineering Talent: The DoorDash Apprentice Engineering Manager Program
At DoorDash, the growth and development of our engineering talent is critical to our success and ability to continue innovating.
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.
Addressing the Challenges of Sample Ratio Mismatch in A/B Testing
Experimentation isn’t just a cornerstone for innovation and sound decision-making; it’s often referred to as the gold standard for problem-solving, thanks in part to its roots in the scientific method.