Real-Time Analytics for Mobile App Crashes using Apache Pinot
Uber’s Healthline tool watches crashes in real time across their mobile apps, keeping things under control.
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DragonCrawl: Generative AI for High-Quality Mobile Testing
Uber’s AI-powered DragonCrawl makes mobile testing sharper and more efficient.
Scaling Mobile Device Management
Uber shares how they grew their Mobile Device Management setup to keep a diverse, expanding mobile fleet in check.
Building m.uber: Engineering a High-Performance Web App
Uber dives into the tech that powers their fast, lean mobile web app, m.uber.
Managing Deep Scope Hierarchies in Large Codebases
Uber takes on tangled code layers, finding ways to keep their big codebase fast and manageable.
Engineering Uber Lite
Uber reveals the real struggles and smart solutions they found while building Uber Lite for shaky network spots.
Engineering the Architecture Behind Uber’s New Rider App
Uber breaks down the smart design choices behind their revamped Rider app.
Carbon: Dual Binary Mobile App
Uber built ‘Carbon’ to cut complexity and make their Rider app easier to maintain with a dual-binary twist.
Uber's Crazy YOLO App Rewrite, From the Front Seat
A wild, honest tale of Uber’s bold app rebuild, racing to simplify code while dodging risks.
Why We Decided to Rewrite Uber's Driver App
Uber explains why they scrapped and rebuilt their driver app to boost speed, scale, and driver happiness.
Employing QUIC Protocol to Optimize Uber’s App Performance
Uber tapped the QUIC protocol to cut latency and make their app feel snappier.
New Rider App Architecture
Uber redesigned their Rider app’s guts to be modular and tough enough for whatever’s next.
Introducing Nanoscope: An Extremely Accurate Method Tracing Tool for Android Development
Uber’s Nanoscope digs deep into Android methods to spot performance hiccups.
Measuring Kotlin Build Performance
Uber teamed up with JetBrains to figure out how Kotlin builds hold up when things get big and messy at scale.
