30 articles on Caching for Android performance
Showing 10 of 30 articles (Page 2 of 2)
Skyscanner's iOS developers were waiting hours for builds to complete. Their CI/CD team cut that time in half with a clever caching strategy.
Netflix's Titus container platform hit a wall: their singleton leader couldn't handle the API query load. Here's how they scaled horizontally without breaking consistency guarantees.
Instagram serves 800 million monthly users, 80% outside the US. How do you make the app feel instant for everyone, regardless of network quality?
Instagram's background prefetching could easily drain batteries and waste data. Here's how they built a system that's both fast and responsible.
Zhiyao Wang and the Airbnb team tackled a massive problem: their mobile inbox was loading like a 2001 webmail client. With 100k+ messages per hour, every tap meant a network request, killing UX on slow connecti...
Dan Lew from Atlassian reveals how Trello Android went from dropping the entire database on every schema change to implementing proper upgrades. The reason? They were secretly building offline mode.
LinkedIn rebuilt their Android data pipeline from scratch for their flagship app. The result? A system that handles everything from feed updates to messaging while keeping data consistent across screens.
Skyscanner needed to store 1.6 billion weights to rank hotel prices. Their in-memory approach couldn't scale, so they turned to AWS.
Dropbox engineers faced a brutal reality: reading 5,000 photos from SQLite took a full second on a Nexus 5. For users with 100,000+ photos, the standard approach would be unusable.
Brian Smith from Dropbox introduced an API in 2013 that promised to make cloud sync feel like working with local files. Developers loved it, but there's a twist.