109 articles on Performance Profiling for Android performance
Showing 20 of 109 articles (Page 2 of 6)
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 Android app had a problem: too many users were experiencing painfully slow startup times. They needed a solution that didn't require rewriting their entire codebase.
Skeelo's engineering team achieved a 30% performance boost by rethinking one simple thing: when NOT to use await in Node.js.
Delivery Hero's Android team achieved 30% performance gains without writing a single line of new feature code. Here's how baseline profiles transformed their app.
Ayush Bagaria from PhonePe reveals how CPU profiling and thread optimization slashed chat load times by 30%. Most Android apps are sitting on similar performance gains.
Very Good Ventures took the stage at Google Cloud Next 2024 to show how Flutter and Gemini are changing the game development playbook. Literally.
Ayush Bagaria from PhonePe set out to cut chat latency by 50% in their P2P payment flow. The journey taught some expensive lessons about the gap between POC results and production reality.
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.
Amazon's QA team just shared their playbook for mobile performance testing. Here's what separates apps that scale from those that crash.
Swiggy's iOS team cut their app launch time in half and reduced app size by 8MB. Here's how they did it.
Glance powers lockscreens for millions across India, Indonesia, Latin America, and Japan. Zero tolerance for lag when you're the first thing users see.
Glance's engineering team scaled their load testing from basic scripts to a full Kubernetes-powered distributed system. Here's how they did it with Locust.
AWS Device Farm now supports rooted Android devices, unlocking granular performance benchmarking that was previously impossible at scale.
Swiggy's Android team cut cold start time by 53% in three months. Here's the playbook that drove a 2.2% conversion lift.
Flutter on your wrist? Very Good Ventures proves it's not just possible but production-ready. After shipping a real Wear OS game, they've cracked the code on building smartwatch apps with Flutter.
Snap's Lens Performance Toolkit has been sunset, but its replacement Mobile Monitor offers AR developers something better. Here's what changed and why it matters for your lens performance.
Snap's Lens Studio just gave AR developers a powerful weapon against performance issues. If your lenses are failing submission due to slow activation or low FPS, this tool is your answer.