Boost Your Android App’s Performance with Baseline Profiles
Article Summary
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.
Staff Engineer Mehdi Yari breaks down how baseline profiles leverage Android's AOT compiler to pre-compile critical code paths. This deep dive covers implementation, measurement, and the mechanics behind why companies like Google, Lyft, and TikTok rely on this technique.
Key Takeaways
- Baseline profiles reduced first DEX file size by 30% through startup optimization
- AOT compilation bypasses JIT interpretation for pre-identified hot code paths
- Macrobenchmark library automates profile generation for apps and SDK libraries
- Google Play Store search saw 40% rendering time reduction using this approach
- Profile Installer library enables optimization for non-Play Store distributions
Critical Insight
Baseline profiles deliver 30% performance improvements across startup time, frame timing, and rendering with minimal engineering effort.
