Explore 16 articles from Pinterest on mobile performance
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Pinterest's Android CI builds were bleeding 9 minutes per run because one slow test shard held everything hostage. Their fix? Stop counting tests and start counting seconds.
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.
Liang Ma and Wei Zhu from Pinterest built a JSON logging system that catches production issues hours before traditional metrics even notice. Here's how they gave mobile teams real-time visibility into 300 billi...
Pinterest's Android team faced a unique challenge: playing multiple videos simultaneously in a two-column grid without killing performance. Here's how they optimized ExoPlayer to handle it.
Pinterest's API team just freed up 4.5GB of memory per host with a clever database swap. The result? Fewer servers, happier users, and a masterclass in optimization.
Pinterest was bleeding user engagement on Android. With 75% of signups coming from outside the U.S. and 90% of global smartphones running Android, they had to fix their performance problem fast.
Pinterest relies on data to drive decisions and ML models. But what happens when a metric as simple as Daily Active Users gets counted wrong?
Pinterest slashed their iOS app size by 30% (50MB) and immediately saw install rates climb. The culprit? A sneaky localization bug multiplying files across app extensions.
Pinterest sends 1 million CI build events to Honeycomb daily. Here's how they turned that data into a competitive advantage for mobile development.
Pinterest's Engineering Productivity team slashed CI build times by over 50% in one week. Here's the architecture that made it possible.
Pinterest's UI test suite was failing more than 50% of the time. Engineers were drowning in false positives, and tests had lost all credibility.
Pinterest found a single tweak that slashed their build times by a jaw-dropping 99%.
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...
Pinterest just shipped a feature that 60% of their top beauty searches were literally asking for. Yanis Markin walks through how they combined ML with inclusive design to solve it.
Michael Schneider from Pinterest built a custom linting system that catches iOS code issues at compile time, not code review. The secret? Clang plugins that hook directly into the compiler's AST.
Pinterest engineers rebuilt their mobile onboarding experience and saw engagement metrics jump across the board. With 80% of users on mobile, they had to get this right.