Android × Performance Profiling
Android Performance Profiling
We track 113 Android Performance Profiling case studies from 57 engineering teams. Snapchat, Grab and Slack write about it most. Many posts also cover App Startup and Monitoring. The posts run from 2015 to 2026. The newest is from July 2026.
Android Performance Profiling articles 1–30 of 113
Flutter Too Slow for Images? Rush It With Rust
Amorn Apichattanakul from KBTG just shattered a common Flutter myth: it's not the language that's slow, it's the codec. His benchmark results are eye-opening.
Surviving Production: The Performance Gauntlet
Berkay Özdemir from Getir's Market Discovery Team cut category page load times from 8 seconds to 2 seconds. Then production traffic hit, and everything started crashing.
Revolutionizing Mobile App Profiling: From Days to Minutes with Automation using ADB (Android Debug Bridge) & Python
Mithila Karunarathne and Manuja Hapuarachchi from PickMe turned a days-long performance profiling bottleneck into a minutes-long automated process. Their solution? Python scripts, ADB commands, and a clever wra...
Performance for Everyone
Lin Wang from Pinterest's Android Performance team just solved a problem that costs most teams two engineer-weeks per feature: measuring user-perceived latency. Their solution? Make it completely automatic.
Performance as a Core Product Feature
Snapchat treats performance as a core product feature, not just a requirement. Their custom tracing system catches regressions that off-the-shelf tools completely miss.
How to Make Your Mobile App Faster
Essam Fahmy from Deloitte reveals why 70% of users abandon slow apps—and shares the exact techniques that cut load times by up to 70%. If your mobile team treats performance as an afterthought, this breakdown w...
Reclaiming Terabytes: Optimizing Android image caching with TLRU
Grab's engineering team just reclaimed terabytes of storage across 100+ million Android devices without breaking a sweat. Their secret? A clever twist on a decades-old caching algorithm.
Instagram and Facebook Deliver Instant App Experiences on Android
Mayuri Khinvasara Khabya reveals how Meta eliminated video loading delays for billions of users. The secret? A complete rethinking of how Android apps prepare content before you even tap play.
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.
Kotlin Intrinsics on Android
Rahul Ravikumar reveals how Android's tooling has been quietly carrying the weight of Kotlin's type safety. Every null check, every parameter validation adds overhead that pure Kotlin apps don't actually need.
HashMap and Set Performance Optimization in Android Kotlin
Using List.contains() instead of Set.contains() in your Android app? You might be making it 900x slower than it needs to be.
Profiling MLC-LLM's OpenCL Backend on Android: Performance Insights
Running LLMs on Android devices just got a serious performance deep-dive. Callstack profiled MLC-LLM's OpenCL backend to uncover what actually happens when you run local AI on mobile hardware.
Exploring KotlinX Benchmark Results with Kotlin Notebooks
Filipp Zhinkin and Teodor Irkhin from JetBrains show how staring at raw benchmark tables is costing you insights. Kotlin Notebooks turn those text dumps into interactive visualizations that actually tell a stor...
Fully Optimized: Wrapping up Performance Spotlight Week
Ben Weiss and Sara Hamilton from Google wrap up Performance Spotlight Week with a roadmap to faster Android apps. Reddit cut ANR errors by 30% with one configuration change.
Android Developers Blog: Get your app on the fast track with Android Performance Spotlight Week!
Google is dedicating an entire week to helping Android developers ship faster apps. If performance has been on your backlog, this is your moment.
The Android Memory Revolution That Will Make Your Apps Fast
Chamod Lakmal from PickMe reveals why November 1, 2025 marks Android's biggest performance shift since Android 5.0. Apps could launch 40% faster, but most developers aren't ready.
Accelerating on-device ML on Meta’s apps with ExecuTorch
Meta just shared how they moved billions of daily users to their new on-device ML framework. The performance gains are substantial.
Duolingo's Android Performance Case Study and DAU Growth
Chenglai Huang and Michael Huang from Duolingo reveal how 39% of entry-level Android users were abandoning their app before it even loaded. Their fix? A masterclass in performance optimization that saved hundre...
Profiling Native Code in React Native with Tracy
Profiling React Native apps just got a serious upgrade. Tracy, the real-time profiler that game developers swear by, now works seamlessly with React Native's native layer.
The Quest to Understand Metric Movements
Your key metric just tanked 20%. Was it a code change? An OS update? A data pipeline bug? Pinterest built a platform to answer this question at scale.
10 Reasons To Choose Flutter for Your Mobile App
Very Good Ventures makes the case for Flutter with data that's hard to ignore: 93% developer satisfaction and 24% user growth in a single year. If you're evaluating cross-platform frameworks, this breakdown cut...
Flutter Myths: Clearing Up Common Misconceptions
Still think Flutter is too slow for production apps? Very Good Ventures just dismantled the 6 biggest myths holding teams back from adopting this cross-platform framework.
Enabling Out Of The Box Performance Insights In The Unity SDK
Stefan Jandl from Sentry just cracked a tough problem: how do you auto-instrument performance monitoring in Unity games without asking developers to write a single line of code?
How we reduced peak memory and CPU usage of the product configuration management SDK
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.
Tales of Performance Engineering
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.
Mobile App Launch Profiling
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?
How Baseline Profiles Improve Skeelo Android App Performance
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.
How We Optimized Concurrency Using Node.js at Skeelo
Skeelo's engineering team achieved a 30% performance boost by rethinking one simple thing: when NOT to use await in Node.js.
Boost Your Android App’s Performance with Baseline Profiles
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.
Enhancing Chat Performance on PhonePe Android - Part 2
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.