Discover 149 articles on Performance Profiling in mobile performance
Showing 20 of 149 articles (Page 5 of 8)
Mercado Libre's Android team achieved a 24% performance boost without using Google's recommended Baseline Profiles or Macrobenchmark tools. How did they pull it off?
OkCredit slashed their Android app cold startup time by 70%. Here's the engineering playbook that made it happen.
Instawork's Android app was taking 5-6 seconds to start while iOS clocked in at just 1.5 seconds. That performance gap was killing their user experience on low-to-mid range devices.
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.
Dream11 handled 5.5 million concurrent users and 80 million requests per minute during IPL 2020. Their secret? A custom performance testing framework called Torque.
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.
Lyft's Android app serves millions of users daily, but how do you track CPU performance when hundreds of engineers ship code constantly? The team built a custom monitoring system from scratch.
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.
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.
Building Flutter games? Very Good Ventures shows how combining Flame engine with Bloc state management creates cleaner, more testable game code without sacrificing performance.
The Paytm Editorial Team reveals how they measure the real cost of user friction: tracking payment flows down to the millisecond, excluding network delays that mask app performance issues.
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.
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 moved beyond Time To Interactive to measure what users actually see. Their Page Performance Score tracks visual wait time, not just code execution.
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.
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.
Lyft was serving 17.1M riders while their Android app launched 15-20% slower than competitors. Time to fix that.
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...
Tokopedia built an internal tool that automatically finds Android performance bottlenecks. No more manual trace analysis or guessing which methods are slowing you down.
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.