chapter eight

8 Catch size problems during builds

 

This chapter covers

  • Using size analysis to find and fix oversized builds before they reach users
  • Analyzing JavaScript bundles and diagnosing tree-shaking failures
  • Auditing backend container images and dependencies for hidden size growth
  • Measuring mobile binary size and connecting it to install rates
  • Examining desktop builds for framework overhead and unnecessary size in application code

Size is the only performance dimension you can know with certainty before code leaves your machine. You cannot know from a local build how your code will perform under production traffic, how users on slow networks will experience your loading sequence, or whether your database queries will hold up at scale. Those answers require real users, real data, and real infrastructure, and they rarely arrive until weeks after the code that caused the problem has been merged and built upon. Build size requires none of that. Every build produces artifacts you can measure to the byte and compare against the build that came before.

8.1 Web: Track your bundle size

8.1.1 Understand your bundle’s contents

8.1.2 Diagnose tree-shaking failures

8.1.3 Tracking size over time

8.2 Backend: Container and dependency analysis

8.2.1 Container image analysis

8.2.2 Dependency analysis

8.3 Mobile: Binary size tracking

8.3.1 iOS: Understanding app size

8.3.2 Android: APK and App Bundle analysis

8.3.3 Tracking size over time

8.4 Desktop: Build artifact analysis

8.4.1 Separating framework size from application size

8.4.2 Tracking size across releases

8.5 Why size problems persist

8.6 Summary