44 articles on Monitoring for iOS performance
Showing 20 of 44 articles (Page 1 of 3)
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.
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...
Ever tried debugging a mobile app crash without knowing what the user actually did? You're flying blind.
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.
Uber runs 50+ mobile apps across iOS and Android. How do you get consistent analytics when every team tracks things differently?
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...
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?
Real User Monitoring isn't just a performance tool. It's the bridge between what you think users experience and what actually happens in production.
Diego Parra from Mercado Libre's Performance Engineering team just shared how they slashed API response times by 60% with one strategic fix. The culprit? Regex compilations eating 40% of CPU cycles.
Your mobile app's first impression isn't just important. It's everything. The Fullstory Team breaks down why most teams are optimizing blind, relying on assumptions instead of actual user behavior data.
DoorDash was shipping experiments that crashed their app and degraded performance for weeks before anyone could identify the cause. They built an automated system to catch issues before customers feel the pain.
Yassir Ramdani and Austin Lai from Datadog built a custom SwiftUI graphing library that renders thousands of data points without lag. Here's how they debugged performance bottlenecks that most iOS developers ne...
Supriyo Mondal from Walmart reveals how they shaved 500-600ms off view rendering times by changing a single boolean flag. Sometimes the biggest performance wins come from the smallest tweaks.
Edward Gou from Sentry reveals why their performance scores were lying to developers. A single slow pageload could tank your entire app's score, even when 99% of users had fast experiences.
Mercari rewrote their entire mobile app and faced a nightmare scenario: millions of users reporting the new version felt slower than the old one.