Discover 67 articles on Monitoring in mobile performance
Showing 20 of 67 articles (Page 1 of 4)
Snapchat treats performance as a core product feature, not just a requirement. Their custom tracing system catches regressions that off-the-shelf tools completely miss.
TelemetryDeck is processing analytics for 16 million users monthly using Swift on the server. The infrastructure costs and performance gains are making Python and Node developers take notice.
WHOOP's Android team turned a Google Play compliance warning into a masterclass in battery optimization. Their excessive wake lock sessions dropped from 15% to under 1% in just 30 days.
Indeed just open-sourced their solution to a problem every web-first company faces: how do you measure mobile app performance with the same rigor you had on the web?
Phil Niedertscheider from Sentry reveals how Swift's type system can catch metric API bugs before they compile. No more sending garbage data like memory addresses to production.
Phil Niedertscheider from Sentry reveals why designing a public API took longer than building the actual feature. His deep dive into Swift's type system shows how the right language features can make or break d...
Callstack just dropped a comprehensive guide for building AI agent apps in React Native. If you're shipping AI features to mobile, this one's packed with real-world patterns.
Ever tried debugging a mobile app crash without knowing what the user actually did? You're flying blind.
Google Play is about to start penalizing apps that drain your users' batteries. Starting March 2026, excessive wake lock usage could get your app buried in search results or flagged with a warning label.
Google's Android team just dropped a performance framework that meets you where you are. Whether you're a solo dev or leading a performance team, there's a clear path forward.
Apple just open-sourced the profiling tool they've used for years to debug Swift services at massive scale. No special privileges, no eBPF, no system dependencies required.
Ben Hjerrild and the Uber Mobile Data Platform team just solved a problem every mobile org faces: analytics chaos. Over 40% of their events had become meaningless custom logs, and iOS/Android were tracking thin...
Uber runs 50+ mobile apps across iOS and Android. How do you get consistent analytics when every team tracks things differently?
Andrew Tunall, President of Embrace, makes a bold claim: your app's biggest retention killer isn't crashes. It's the performance issues you're not even tracking.
Ninikvatchantiradze from Teknasyon Engineering reveals why most iOS teams are measuring performance completely wrong. Your simulator tests and CPU averages are hiding the issues that make users uninstall your a...
Shaurya Jaiswal from Slice reveals how his team cut app launch API calls from 28 to 12, improving startup time by 40%. The secret? A custom observability system that exposes what Firebase Performance Monitoring...
Skyscanner was drowning in observability chaos: multiple vendors, fragmented tools, and engineers losing confidence in their ability to debug production issues.
Your key metric just tanked 20%. Was it a code change? An OS update? A data pipeline bug? Pinterest built a platform to answer this question at scale.
Meta's Threads hit 100M users in 5 days, then scaled to 300M monthly users. How did the iOS team keep performance from collapsing under hypergrowth?
Stefan Jandl from Sentry just cracked a tough problem: how do you auto-instrument performance monitoring in Unity games without asking developers to write a single line of code?