83 articles on Performance Profiling for iOS performance
Showing 20 of 83 articles (Page 1 of 5)
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.
Essam Fahmy from Deloitte reveals why 70% of users abandon slow apps—and shares the exact techniques that cut load times by up to 70%. If your mobile team treats performance as an afterthought, this breakdown w...
Half of all users uninstall an app after a single performance issue. A peer-reviewed paper puts specific numbers on the thresholds that separate apps people keep from apps they delete.
Todoist's iOS app became nearly unusable for some users after migrating from Realm to GRDB. The culprit? A SQL query generating 128,136 intermediate rows from just 399 actual records.
Rabia Mercan from Teknasyon reveals why your smooth UIKit animations are secretly destroying performance. The culprit? Offscreen rendering you never knew was happening.
JioHotstar was stuck in a frustrating cycle: fix performance issues, ship the update, watch them resurface weeks later. Sound familiar?
Filipp Zhinkin and Teodor Irkhin from JetBrains show how staring at raw benchmark tables is costing you insights. Kotlin Notebooks turn those text dumps into interactive visualizations that actually tell a stor...
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.
Ninikvatchantiradze from Teknasyon Engineering reveals why most iOS developers are measuring app performance completely wrong. If you're only testing locally or tracking basic CPU metrics, you're missing what's...
Meta just shared how they moved billions of daily users to their new on-device ML framework. The performance gains are substantial.
Profiling React Native apps just got a serious upgrade. Tracy, the real-time profiler that game developers swear by, now works seamlessly with React Native's native layer.
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.
Very Good Ventures makes the case for Flutter with data that's hard to ignore: 93% developer satisfaction and 24% user growth in a single year. If you're evaluating cross-platform frameworks, this breakdown cut...
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?
Still think Flutter is too slow for production apps? Very Good Ventures just dismantled the 6 biggest myths holding teams back from adopting this cross-platform framework.
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?
Grab's configuration management SDK was crushing service performance with memory spikes and CPU throttling. 98% of services were loading 100x more data than they actually needed.
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.
Andrew McKnight from Sentry just solved one of mobile performance monitoring's biggest blind spots. Ever wondered what's actually happening in your app before main() even gets called?
Skeelo's engineering team achieved a 30% performance boost by rethinking one simple thing: when NOT to use await in Node.js.