iOS × App Stability
iOS App Stability
We track 26 iOS App Stability case studies from 19 engineering teams. Grab, LinkedIn and Etsy write about it most. Many posts also cover Testing and Performance Profiling. The posts run from 2013 to 2026. The newest is from May 2026.
iOS App Stability articles 1–26 of 26
Never Miss a Critical App Crash Again: Integrating Firebase Crashlytics with Google Chat
Chamod Lakmal shares how discovering hundreds of weekend crashes on Monday morning pushed him to build an automated alert system. No more silent failures destroying your app's reputation while you're offline.
The 5 Numbers That Decide Whether Users Keep or Delete Your App
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.
Reverse Engineering iOS to Fix SDK Crashes
Phil Niedertscheider from Sentry reverse-engineered Apple's private frameworks after iPadOS 26 broke a fundamental assumption: that successful type casts guarantee the object is actually that type.
Swift 5.9 Backtraces and Debugging
Alastair Houghton from Apple's Swift runtime team just dropped a game-changer for debugging: Swift 5.9 now catches crashes and lets you inspect them interactively before your program dies.
Real-Time Analytics for Mobile App Crashes using Apache Pinot
Uber deploys 11,000 code changes weekly. How do they catch crashes before users notice? They built Healthline, powered by Apache Pinot.
Preventing App Performance Degradation Due to Sudden Ride Demand Spikes
Grab's engineering team faced a brutal problem: rain in Southeast Asia would crash their entire ride-hailing system. When demand spiked locally, users everywhere suffered.
Page not found - Engineering at Meta
Meta's Engineering blog just hit a 404. Sometimes even the biggest tech companies deal with broken links and content migrations.
The New Gold Standard for iOS Releases: 99.99% Crash-Free
Turo's iOS team took their crash-free rate from 99% to 99.99% in just one year. Here's how a lean 5-engineer team achieved what most would consider impossible.
Recovering from Crashes with Safe Mode
Lyft engineers faced a nightmare scenario: feature flags causing infinite crash loops on app launch, requiring emergency hotfixes and losing revenue. They built Safe Mode to break the cycle.
Removing 30% of our iOS crashes
Robinhood eliminated 30% of ALL iOS crashes by refactoring a single screen. That screen drove 30% of their revenue at the time.
Mobile Performance @ Lyft
Lyft was serving 17.1M riders while their Android app launched 15-20% slower than competitors. Time to fix that.
Improving Product Reliability by Imposing Constraints as a Part of CI/CD Process
Revolut built a system that automatically blocks code deployments based on security risk and bug count. Here's how they shifted security left without slowing down 165,000+ pull requests.
Preventing Pipeline Calls from Crashing Redis Clusters
Grab lost 95% of ride bookings for a full minute when a single Redis slave node failed. Their highly available cluster with multiple replicas somehow became a single point of failure.
Structured Logging: The Best Friend You'll Want When Things Go Wrong
Grab's logging bills were spiraling out of control. Their solution? A complete rethink of how they capture what happens in production.
Investigating Crashes with Aardvark
Cash App open sourced a tool that solves one of iOS debugging's most frustrating problems: crashes that you can't reproduce locally.
iOS Application Testing Strategies at Shopify
Shopify's iOS team ships hundreds of commits weekly to a monorepo. Their testing strategy keeps quality high without slowing down velocity.
The Mobile Crash Reporting Pipeline at LinkedIn
LinkedIn processes massive volumes of mobile crash data to keep their app stable for millions of users. Here's how they built the pipeline.
Mobile Crash Reporting at LinkedIn
LinkedIn built their own crash reporting system instead of using third-party tools. Here's why that decision paid off.
Crashcan: Building a Better Mobile Crash Analytics Platform
Etsy built Crashcan, their own mobile crash analytics layer on top of a third-party provider. Why not just use the vendor's dashboard?
The iOS Bug Chase
An Allegro engineer spent weeks hunting a MapKit bug so elusive it disappeared and reappeared randomly across devices. The investigation went from Swift code to assembly to a conversation in San Francisco.
3x3: iOS Build Speed and Stability
LinkedIn's iOS team set an audacious goal: ship to production three times daily, with just three hours from commit to release. Here's how they actually pulled it off.
Failing Fast with Reliable and Actionable System-Level Tests
Skyscanner's test suite had a 99% pass rate. Sounds great, right? Wrong. Those false failures were costing hours of productivity and masking real production issues.
Reducing FOOMs in the Facebook iOS app
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.
Real World Swift
Duolingo shipped their first Swift app in 2015 and achieved a 0.2% crash rate. Here's what they learned building a high-stakes testing app where crashes cost users real money.
Improving Etsy for iOS with server-based logging
Etsy's iOS team faced a dilemma: their safety net for preventing crashes was quietly hiding logic bugs across the entire codebase.
Mobile App Development: Catching Crashers
Twitter's iOS team shipped beta builds to employees and discovered crashes that would never show up in testing. The culprit? Jailbroken devices and unprefixed Objective-C categories.