Android × Monitoring
Android Monitoring
We track 53 Android Monitoring case studies from 34 engineering teams. Tokopedia, Lyft and Meta write about it most. Many posts also cover Performance Profiling and Networking. The posts run from 2012 to 2026. The newest is from May 2026.
Android Monitoring articles 1–30 of 53
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.
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.
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 WHOOP Decreased Excessive Partial Wake Lock Sessions by Over 90%
WHOOP's Android team turned a Google Play compliance warning into a masterclass in battery optimization. Their excessive wake lock sessions dropped from 15% to under 1% in just 30 days.
Demystifying user journeys: Revolutionizing troubleshooting with auto tracking
Ever tried debugging a mobile app crash without knowing what the user actually did? You're flying blind.
Raising the bar on battery performance: excessive partial wake locks
Google Play is about to start penalizing apps that drain your users' batteries. Starting March 2026, excessive wake lock usage could get your app buried in search results or flagged with a warning label.
Android Developers Blog: Leveling Guide for your Performance Journey
Google's Android team just dropped a performance framework that meets you where you are. Whether you're a solo dev or leading a performance team, there's a clear path forward.
How Uber Standardized Mobile Analytics for Cross-Platform Insights
Ben Hjerrild and the Uber Mobile Data Platform team just solved a problem every mobile org faces: analytics chaos. Over 40% of their events had become meaningless custom logs, and iOS/Android were tracking thin...
How Uber Standardized Mobile Analytics for Cross-Platform Insights
Uber runs 50+ mobile apps across iOS and Android. How do you get consistent analytics when every team tracks things differently?
Android Network Observability: Shedding Light on Performance Blind Spots
Shaurya Jaiswal from Slice reveals how his team cut app launch API calls from 28 to 12, improving startup time by 40%. The secret? A custom observability system that exposes what Firebase Performance Monitoring...
Skyscanner’s journey to effective observability
Skyscanner was drowning in observability chaos: multiple vendors, fragmented tools, and engineers losing confidence in their ability to debug production issues.
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.
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?
Enhance App Performance and Business with Real User Monitoring (RUM)
Real User Monitoring isn't just a performance tool. It's the bridge between what you think users experience and what actually happens in production.
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.
5 Mobile app optimization tips to enhance user engagement
Your mobile app's first impression isn't just important. It's everything. The Fullstory Team breaks down why most teams are optimizing blind, relying on assumptions instead of actual user behavior data.
App Health Through Metric-Aware Rollouts
DoorDash was shipping experiments that crashed their app and degraded performance for weeks before anyone could identify the cause. They built an automated system to catch issues before customers feel the pain.
Performance Measurement for Native Apps
Supriyo Mondal from Walmart reveals how they shaved 500-600ms off view rendering times by changing a single boolean flag. Sometimes the biggest performance wins come from the smallest tweaks.
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.
Network Latency Issues in Mobile Apps
Anatole Beuzon and Bowen Chen from Datadog turned what seemed like a simple deployment alert into a months-long debugging odyssey. What they uncovered reveals how deceptively complex network latency issues can ...
How We Built User Interaction Tracking For Jetpack Compose
Markus Hintersteiner from Sentry reveals how they cracked a tricky problem: tracking user interactions in Jetpack Compose without cluttering developers' code or killing performance.
App Performance Monitoring Strategies and Tools
Your app crashes in production and you have no idea why. Callstack breaks down the monitoring strategies that catch issues before your users do.
Android Network Traffic Tracking and Monitoring
Ahmed Alnaami from AirAsia reveals how they solved a debugging nightmare: tracking network traffic across Native, React Native, and WebViews in one super app.
Productionizing Envoy Mobile at Lyft
JP Simard from Lyft reveals how they replaced URLSession and OkHttp across all their mobile apps with a single networking library—and the results weren't what anyone expected.
Android Integration in Analytics Infrastructure
Alexander Dadukin and Dhriti Chawla reveal what it's like being the only 2 Android engineers supporting analytics infrastructure for all of Yelp. Spoiler: they can't see or touch what they build.
Automating Mobile Event Verification
Swiggy was drowning in analytics chaos. Thousands of events per session, scattered specs across docs, and manual verification eating up engineering time.
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.
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.