How Uber optimizes Android performance
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How Uber standardized mobile analytics by unifying event instrumentation, collecting consistent metadata, and providing sampled event coverage across iOS and Android, reducing transient-view impressions by up t...
Describes how Uber improved mobile monitoring by unifying analytics across iOS and Android. The team standardized event instrumentation, collected consistent metadata, and provided sampled event coverage to ens...
Uber discusses the standardization of mobile analytics across Android and iOS to ensure consistent performance monitoring and data quality.
Standardizing mobile analytics to gain consistent, cross-platform insights at Uber scale.
Uber’s Healthline tool watches crashes in real time across their mobile apps, keeping things under control.
Uber’s AI-powered DragonCrawl makes mobile testing sharper and more efficient.
Uber shares how they grew their Mobile Device Management setup to keep a diverse, expanding mobile fleet in check.
Uber dives into the tech that powers their fast, lean mobile web app, m.uber.
Uber takes on tangled code layers, finding ways to keep their big codebase fast and manageable.
Uber reveals the real struggles and smart solutions they found while building Uber Lite for shaky network spots.
Uber breaks down the smart design choices behind their revamped Rider app.
Uber built ‘Carbon’ to cut complexity and make their Rider app easier to maintain with a dual-binary twist.
Uber explains why they scrapped and rebuilt their driver app to boost speed, scale, and driver happiness.
Uber tapped the QUIC protocol to cut latency and make their app feel snappier.
Uber redesigned their Rider app’s guts to be modular and tough enough for whatever’s next.
Uber’s Nanoscope digs deep into Android methods to spot performance hiccups.
Uber teamed up with JetBrains to figure out how Kotlin builds hold up when things get big and messy at scale.