Popular Posts
Leveraging Causal Modeling to Get More Value from Flat Experiment Results
Using Heterogeneous Treatment Effects to improve personalization
Sep 18, 2020 ·
10 min read
Retraining Machine Learning Models in the Wake of COVID-19
When the COVID-19 pandemic significantly changed how people took their meal, DoorDash had to retrain demand prediction machine learning models.
Sep 15, 2020 ·
8 min read
Things to Keep in Mind When Integrating a Map Feature to a Web App
Lessons for developing a fast, flexible, and scalable map feature on web
Sep 11, 2020 ·
7 min read
Culture
How DoorDash is Scaling its Merchant Engineering Teams to Meet New Challenges
Learn how the DoorDash merchant team has scaled up to support merchants during the Covid-19 crisis
Jun 24, 2020 ·
5 min read
Interview with Rajat Shroff – VP of Product at DoorDash
Learn more about the product design team at DoorDash
May 14, 2020 ·
5 min read
Design Leadership Interview with Tae Kim
Learn more about what it means to be a product designer at DoorDash
May 14, 2020 ·
9 min read
Backend
Eliminating Task Processing Outages by Replacing RabbitMQ with Apache Kafka Without Downtime
Learn how we utilized a custom Kafka solution to reduce outages and enable horizontal scalability for task processing
Sep 3, 2020 ·
14 min read
Building Reliable Workflows: Cadence as a Fallback for Event-Driven Processing
Reengineering our event-driven delivery service for DoorDash Drive into Kotlin, we added the open source Cadence as a fallback for retries.
Aug 14, 2020 ·
7 min read
Scaling Splunk Securely by Building a Custom Terraform Provider
Ensure your growing team can search, analyze, and visualize data securely by integrating Splunk with a custom built Terraform provider.
Jul 30, 2020 ·
8 min read