Android × Performance Profiling
Android Performance Profiling, page 3
Android Performance Profiling articles 61–90 of 113
How OkCredit Android App Improved Cold Startup by 70%
OkCredit slashed their Android app cold startup time by 70%. Here's the engineering playbook that made it happen.
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.
Monitoring CPU Performance of Lyft’s Android Applications
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.
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.
Instrumenting App Flows for Performance Monitoring
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.
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 Android
Airbnb moved beyond Time To Interactive to measure what users actually see. Their Page Performance Score tracks visual wait time, not just code execution.
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...
A Saga of Improvement in Android App Performance (Part 3)
Tokopedia built an internal tool that automatically finds Android performance bottlenecks. No more manual trace analysis or guessing which methods are slowing you down.
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.
A Saga of Improvement in Android App Performance (Part 2)
Tokopedia built an automated performance testing pipeline that catches regressions before they hit production. Here's how they measure every build, every night.
How We Improve Android App Performance (Part 1)
Tokopedia's Android team achieved a 40% improvement in app start time and page load speed. Here's the systematic approach that got them there.
Spotting Latency Regressions Ahead of Time at Teams Mobile
Microsoft Teams Mobile merges 50+ commits daily from 350+ developers. How do they catch performance regressions before users feel the pain?
Trusting Metrics at Pinterest
Pinterest relies on data to drive decisions and ML models. But what happens when a metric as simple as Daily Active Users gets counted wrong?
Optimizing OpenTelemetry's Span Processor for High Throughput and Low Latency
DoorDash's OpenTelemetry adoption hit a wall: 72% CPU utilization versus 56% without tracing. That's a costly tax for observability.
Client Tracing: Understanding Mobile and Desktop Application Performance at Scale
"My app is slow" - every engineer's nightmare. Slack's mobile team was tired of hitting dead ends when debugging performance issues.
JSON Serialization Libraries Performance Comparison
Israel Abramov from Just Eat Takeaway tested 10 JSON serialization libraries across 8 scenarios. The results? Your default serializer might be costing you serious performance.
How We Sped Up Dropbox Android App Startup by 30%
Dropbox's Android app was slowly dying by a thousand cuts. Over 4 months, startup time crept up unnoticed until they finally looked at the bigger picture.
Time to Camera Ready
Snap's engineering team obsesses over one metric: Time to Camera Ready. Miss the bear crossing the street because your app was too slow? That's exactly the problem they're solving.
Tokopedia Android Engineering 2020 Review
Rico Harisin from Tokopedia reveals how their Android team shipped weekly releases while building a complete performance infrastructure from scratch. Their secret? Treating CI/CD like a product.
Mobile App Launch Performance II
At Farfetch, a 0.1 second delay in warm app launch costs $4.2M annually. That's less time than it takes to blink.
Our Counterintuitive Fix for Android Path Normalization
Dropbox Android users couldn't see folders with Cyrillic characters or certain special names. The obvious fix? Way too risky to attempt.
Android GPU Inspector: Open Beta Release
Jay Kong from Google's Gaming and Graphics team just opened the beta for Android GPU Inspector, and early results are impressive. Diablo Immortal cut vertex bandwidth by 45%, while Crash Bandicoot slashed frame...
Tracing at Slack: Thinking in Causal Graphs
Slack processes 8.5 billion spans daily, but their tracing system looks nothing like traditional distributed tracing. Here's why they rebuilt it from scratch.
Leveraging Mobile Infrastructure with Data-Driven Decisions
Spotify's mobile infrastructure team turned build time chaos into predictable performance. Their secret? Making every engineer a data scientist.