• Discover
  • Collections
  • Board
  • Create
  • Profile
  • Settings
Paths

Why Turborepo? The Problem of Build Performance

Why Turborepo? The Problem of Build Performance

2 min read

Overview

As monorepos grow, the cumulative time spent on building, testing, and linting all projects becomes a major bottleneck. Traditional build systems often re-run tasks for every project, even if their dependencies haven't changed. This lesson delves into the core performance challenges faced by large monorepos and introduces how tools like Turborepo emerge as essential solutions to dramatically reduce build times and improve developer experience.

Key Points

  • The Monorepo Build Bottleneck:

  • Redundant Work: Tasks (build, test, lint) are often re-executed for unchanged projects.

  • Sequential Execution: Many build systems process projects one after another, failing to leverage parallel opportunities.

  • Cold Cache Problem: CI/CD pipelines frequently start from a clean slate, discarding previous build artifacts.

  • Impact on Developer Experience:

  • Longer waiting times for feedback (builds, tests).

  • Discourages small, frequent changes.

  • Increased CI/CD costs and slower deployment cycles.

  • The Need for Intelligent Optimization:

  • Caching: Reusing previous build outputs.

  • Parallelization: Running independent tasks concurrently.

  • Incremental Builds: Only processing what has changed.

  • Remote Caching: Sharing cache artifacts across machines (local, CI, team members).

Quick Example

Imagine a monorepo with app-a (depends on lib-a) and app-b (depends on lib-a and lib-b).

  • Without optimization: Changing lib-a forces lib-a to rebuild, then app-a to rebuild, then app-b to rebuild (even if lib-b and app-b's specific code haven't changed).

  • With optimization (Turborepo): Change lib-a. Turborepo rebuilds lib-a. If app-a and app-b's build tasks for lib-a are impacted, only those specific parts are re-evaluated or rebuilt. If app-b's source code hasn't changed, Turborepo can use a cached output for app-b, even if lib-a changed, if app-b's build system doesn't directly ingest lib-a's output but rather lib-a's compiled artifacts (which may be identical).

Summary

Large monorepos inherently suffer from slow build times due to redundant and sequential task execution. This significantly hampers developer productivity and CI/CD efficiency. Turborepo emerges as a powerful solution by implementing smart caching, parallel execution, and remote caching to tackle these performance bottlenecks head-on.

End of lesson
👏Well done!
Previous Lesson
Quiz: Understanding Monorepos
Next Lesson
Turborepo Fundamentals: Caching and Task Orchestration

Course Content

0% Complete0/9 Lessons

What is a Monorepo?

Monorepo Best Practices & Tooling Overview

Quiz

Why Turborepo? The Problem of Build Performance

Turborepo Fundamentals: Caching and Task Orchestration

Quiz

Course Content

0% Complete0/9 Lessons

What is a Monorepo?

Monorepo Best Practices & Tooling Overview

Quiz

Why Turborepo? The Problem of Build Performance

Turborepo Fundamentals: Caching and Task Orchestration

Quiz