Rakuten Viki Saurabh Arora Jan 13, 2018

Optimise Because Performance Matters

Article Summary

Saurabh Arora from Viki cut their Android app's memory footprint by 27% while preparing for the Next Billion Users. His team's optimization work landed them as an Android GO launch partner.

As Viki prepared their streaming platform for emerging markets and Android GO, they tackled three critical areas: memory consumption, data usage, and APK size. Using Android Studio 3.0's new profilers, they identified and eliminated performance bottlenecks across their entire app.

Key Takeaways

Critical Insight

Strategic optimization across images, translations, and view hierarchies delivered 18-27% memory reduction and 25% smaller APK size, earning Viki an Android GO launch partnership.

The surprising memory culprit wasn't images: multilingual show descriptions were silently consuming massive amounts of RAM.

About This Article

Problem

Viki's Android app was loading placeholder images across 20+ home page views. Even though the same placeholder was reused, this caused rapid memory buildup. Low-memory devices suffered severe performance problems from the redundant asset loading.

Solution

Saurabh Arora's team added isLowRamDevice() detection to the app. On constrained devices, it serves single-color placeholders. Higher-end devices still get full-resolution placeholders.

Impact

The placeholder optimization reduced memory usage by 14% on low-memory devices. This was part of a larger effort that achieved 27% total memory reduction.