12 articles on Memory Leaks for iOS performance

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Brian Terczynski from Thumbtack tracked down a brutal Android OOM bug that was crashing apps at startup—and the culprit wasn't a memory leak. It was hiding in plain sight: their SQLite queries.

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.

Timotius Leonardo Lianoto from IDN Media discovered their livestream gift animations were silently eating memory with every play. Even following Lottie's official docs didn't prevent the leak.

Debugging High Latency in the Market Store

Company: Grab · Oct 20, 2022
Platform: iOS / Android

Grab's ML feature store went from 200ms to 2 second latency. The culprit? A single line of code in an async library.

Pinterest's API team just freed up 4.5GB of memory per host with a clever database swap. The result? Fewer servers, happier users, and a masterclass in optimization.

Removing 30% of our iOS crashes

Company: Robinhood · Jun 21, 2022
Platform: iOS

Robinhood eliminated 30% of ALL iOS crashes by refactoring a single screen. That screen drove 30% of their revenue at the time.

Swift Collections Library

Company: Swift.org Blog · Apr 5, 2021
Platform: iOS

Karoy Lorentey from Apple's Swift team just dropped three game-changing data structures that could make your Swift code faster and more reliable. Array and Dictionary aren't enough anymore.

Sid Rathi from Expedia Group debugged a production nightmare: KStream apps dying in an endless OOM loop. The culprit? A single unclosed iterator eating native memory.

Facebook just open-sourced Hermes, a JavaScript engine built specifically for React Native on Android. This isn't just another optimization tweak. It's a ground-up rethink of how JS should run on mobile.

Automatic memory leak detection on iOS

Company: Meta · Apr 13, 2016
Platform: iOS

Meta tackled one of iOS development's most painful problems: memory leaks that crash apps and kill performance. They automated the entire detection process.

Reducing FOOMs in the Facebook iOS app

Company: Meta · Aug 24, 2015
Platform: iOS

Meta's iOS team faced a silent killer: crashes that left no trace, no stack trace, no clue. Just frustrated users and a mystery to solve.

LinkedIn Engineering cut their tail latency by 75% through systematic garbage collection tuning. Here's their playbook for high-performance Java apps.

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