Uber engineers share their learnings on how to tune a Java Virtual Machine so as to avoid long pauses and other issues with garbage collection.
Gaining Confidence and Improving Android Developer Workflows as a Software Engineering Intern at Uber
Ankit Agrawal reflects on his internship with Uber Engineering, working on the Developer Experience team to build a feature that would highlight code errors in an IDE.
Uber's Mobile Engineering team open sources Nanoscope, a new method tracing tool for Android that enables developers to more accurately debug difficult performance issues.
Uber's Customer Obsession Engineering team developed new check-in queuing and appointment systems to improve the customer experience for driver-partners at our Greenlight Hubs.
Uber Engineering built and open sourced NullAway, our fast and practical tool for eliminating NPEs, to help others deploy more reliable Android apps.
Uber Engineering introduces Michelangelo, our machine learning-as-a-service system that enables teams to easily build, deploy, and operate ML solutions at scale.
In 2016, Uber Engineering built and open sourced RAVE, a data model validation framework for Android that leverages Java annotation processing to protect against crashes caused by invalid data.
In this article, Uber Engineering shares our best practices for relieving RxJava backpressure on Android through targeted operators, more forgiving RxJava 1.x configurations, and RxJava 2.x.