Precision in Motion: Deep Learning for Smarter ETA Predictions
DoorDash uses deep learning to nail ETA predictions with precision.
Search over 1000 articles on mobile performance
Showing 10 of 10 articles (Page 1 of 1)
App Health Through Metric-Aware Rollouts
DoorDash rolls out updates with an eye on metrics to keep their app healthy.
How DoorDash Manages Mobile Releases
DoorDash’s iOS team handles big releases with calm and precision.
Leveraging Flink to Detect User Sessions and Engage DoorDash Consumers with Real-Time Notifications
DoorDash uses Flink to spot user sessions and send timely notifications.
How We Reduced Our iOS App Launch Time by 60%
DoorDash slashed iOS startup time by 60% with some smart moves.
[Mobile Web] DoorDash's Lessons on Improving Performance on High-Traffic Web Pages
DoorDash shares hard-earned tips from boosting high-traffic web pages.
How We Applied Client-Side Caching
DoorDash caches on the client side to make their app feel faster.
8 Tips Learned from Adding Payments to DoorDash's Android App
DoorDash spills eight lessons from weaving payments into their Android app.
Optimizing OpenTelemetry's Span Processor for High Throughput and Low Latency
DoorDash tunes OpenTelemetry for fast tracing with low lag overhead.
Improving Mobile Infrastructure for a Seamless Delivery Experience
DoorDash beefs up their mobile backbone for flawless delivery vibes.
