iOS × Performance Profiling
iOS Performance Profiling, page 2
iOS Performance Profiling articles 31–60 of 88
How We Improved Performance Score Accuracy
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.
Performance monitoring in Mercari mobile apps
Mercari rewrote their entire mobile app and faced a nightmare scenario: millions of users reporting the new version felt slower than the old one.
Why Mobile Application Performance Testing Is Key to App Success
Amazon's QA team just shared their playbook for mobile performance testing. Here's what separates apps that scale from those that crash.
Making Swiggy Buttery Smooth
Swiggy's iOS team cut their app launch time in half and reduced app size by 8MB. Here's how they did it.
Enhancing App Performance: A Practical Approach at Glance
Glance powers lockscreens for millions across India, Indonesia, Latin America, and Japan. Zero tolerance for lag when you're the first thing users see.
Distributed Load Testing Using Locust
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.
Measuring Performance for iOS Apps | App Startup
Uber's iOS app startup metrics became 130% inflated overnight. The culprit? iOS 15's pre-warming feature broke their entire measurement system.
Performance Optimization Guide
Snap's AR Lenses reach millions, but performance issues can kill engagement before users even see your creation. Here's how Snap ensures their AR experiences work across every device.
Mobile Lens Profiler: Case Study
Snap's engineering team just dropped a masterclass in mobile performance debugging. Ever wonder why your AR lens stutters on the first frame?
Mobile Monitor
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.
Lens Performance Toolkit
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.
How We Reduced Our iOS App Launch Time by 60%
Filip Busic from DoorDash reveals how three targeted optimizations slashed iOS app launch time by 60%. The culprits? String operations, hashing strategies, and sneaky third-party framework initializers.
Striving for iOS App Performance
Strava's iOS app was slowing down as they scaled to 1 billion activities in 18 months. Their solution? A ruthless focus on "Time to Something Useful."
Swiggy's iOS App Now Loads 12 Times Faster
Swiggy's iOS app was taking forever to launch. Their mobile team spent 3 months hunting down bottlenecks and achieved a 12x improvement in cold start time.
EfficientFormer: Vision Transformers at MobileNet Speed
Snap Research just proved that Vision Transformers can run as fast as MobileNet on actual mobile devices. Yes, really.
6 Lessons Learned from Optimizing the Performance of a Node.js Service
Klarna's A/B testing platform needed single-digit millisecond latency at 99.9%. Their Node.js service was spiking to seconds under load.
Building A Performant iOS Profiler
Indragie Karunaratne from Sentry reveals how they built a production-ready iOS profiler that runs on millions of real user devices. Most profilers only work locally, but this one collects real-world performance...
Performance Bottlenecks in Go Apps
Grab's engineering team discovered their Go apps were mysteriously throttling at 1.94 CPU cores but flying at 2 cores. The culprit? A sneaky interaction between Kubernetes VPA and GOMAXPROCS.
How Removing Caching Improved Mobile Performance by 25%
Klarna's team removed their caching layer and saw a 25% performance boost. Wait, what?
Why Mobile Apps Performance Matters
Mercado Libre's mobile apps serve 4.5 billion active devices. A Galaxy A10 might take 5 seconds to load a screen—or just 1.67 seconds, depending on conditions.
Continuous Load Testing
Slack's engineering team ran into a classic performance testing problem: spinning up load tests was so time-consuming that teams avoided doing it. Their solution? Never stop testing.
Profile-Guided Optimisation
Grab's engineering team just unlocked 30% memory savings and 38% storage reduction with a simple compiler flag. Here's how Profile-Guided Optimization (PGO) delivered massive gains with minimal code changes.
Measuring Mobile Apps Performance in Production
Booking.com discovered that standard performance monitoring tools from Apple, Google, and Firebase couldn't meet their needs. So they built their own—and just open-sourced it.
Fixing Performance Regressions Before They Happen
Angus Croll from Netflix reveals how his team slashed false performance alerts by 90% while catching more real regressions. The secret? They stopped using static thresholds entirely.
Balancing Native and JavaScript Code in React Native
React Native's bridge can be your bottleneck or your superpower. Callstack explores the critical tradeoff between JavaScript flexibility and native performance that determines whether your app flies or crawls.
Airbnb's Page Performance Score on iOS
Airbnb built a unified performance scoring system that works across all platforms. Here's how they instrumented it on iOS to track real user experience at scale.
Creating Airbnb's Page Performance Score
Airbnb ditched single-metric performance tracking and built something better. Here's how they unified web, iOS, and Android performance into one 0-100 score.
Mobile Performance @ Lyft
Lyft was serving 17.1M riders while their Android app launched 15-20% slower than competitors. Time to fix that.
A Importância da Performance Para Apps Mobile
Victor Oliveira from Mercado Libre reveals a harsh truth: 53% of users uninstall apps due to performance issues. With 4.5 billion active Android and iOS devices worldwide, each performing differently, mobile pe...
Implementing caching for pipeline resolvers in AWS AppSync GraphQL APIs
Eric Robertson from AWS AppSync reveals how pipeline resolver caching slashed database requests by 99% for some customers. If your GraphQL API is hitting backend services too hard, this changes everything.