How DoorDash optimizes Android performance
Showing 9 of 9 articles (Page 1 of 1)
DoorDash uses deep learning to nail ETA predictions with precision.
DoorDash rolls out updates with an eye on metrics to keep their app healthy.
DoorDash's approach to managing and coordinating mobile app releases across platforms.
DoorDash uses Flink to spot user sessions and send timely notifications.
DoorDash caches on the client side to make their app feel faster.
Deep dive into how Kotlin coroutines work internally and best practices for efficient asynchronous programming.
DoorDash spills eight lessons from weaving payments into their Android app.
DoorDash tunes OpenTelemetry for fast tracing with low lag overhead.
Best practices for implementing navigation architecture in Android apps using the Navigation library.