51 articles on Monitoring for Android performance
Showing 11 of 51 articles (Page 3 of 3)
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.
Marianna Budnikova from Dropbox reveals why your mobile analytics are probably lying to you. And it's costing you two weeks every time you get it wrong.
Maya Reddy from Pinterest reveals how their team eliminated last-minute P1 bugs by automating ad metrics testing. The shift from bi-weekly manual QA to continuous integration transformed their release confidenc...
Julio Zynger from SoundCloud reveals how they ship mobile releases every two weeks without breaking things. Their secret? A release train model that turns chaos into predictability.
Meta's engineers were spending days or months debugging performance issues they couldn't reproduce in their device labs. Sound familiar?
Facebook was flying blind on battery drain across a billion devices. User-facing battery percentage? Too noisy, too coarse, and deliberately inaccurate by design.
Tommy MacWilliam from Quora reveals how they A/B test mobile UX without waiting weeks for App Store approval. The secret? A hybrid architecture that lets them iterate at web speed.
Facebook processes thousands of mobile code changes weekly. How do they catch performance regressions before users feel the pain?
Crittercism handles more traffic than Google Search (50K vs 40K requests/second) with just 3 DevOps engineers. How do they pull this off?
Dianne Hackborn from the Android framework team reveals a hidden tool that exposes exactly how your app behaves when users aren't looking. Most developers are flying blind on background memory usage.
Instagram's Android launch brought 1 million new users in 12 hours. Here's how their infrastructure team kept the lights on during hypergrowth.