Git & GitHub Mastery · Step 8 of 8
Git at Scale
Learn how monorepos, submodules, and Git LFS actually work — then assess a real repository's health yourself.
What you’ll walk away with
- Explain the tradeoffs between monorepos and polyrepos so you can justify a repository structure decision
- Use Git submodules to manage repositories nested inside other repositories
- Apply Git LFS to keep large repositories fast and avoid bloated repo history
- Diagnose whether a large repository is healthy or heading toward problems using real assessment criteria
- Complete a hands-on capstone assessing an actual repository's health from start to finish
Questions people ask before they start
Is this course just theory, or do I actually practice on a repository?
The module ends with a hands-on capstone where you assess a real repository's health, applying what you learned about monorepos, submodules, and Git LFS.
Do I need to already know about monorepos or submodules before starting?
No. The course starts from the core distinction between monorepos and polyrepos before moving into submodules and Git LFS, building up to the repository health assessment.
What exactly is Git LFS and why does it matter for this course?
Git LFS is covered as a technique for keeping large repositories fast — it's one of the specific tools you'll need to understand before assessing repository health in the capstone.
How is this course structured?
It's a single module, 'When One Repository Isn't a Simple Case Anymore,' with four lessons: monorepos vs. polyrepos, submodules, Git LFS, and a hands-on capstone assessing a real repository.
Will this teach me general Git commands and workflows?
No — this course assumes you already use Git and focuses specifically on scaling issues: choosing repo structures, handling nested repos with submodules, managing large files with LFS, and evaluating repo health.
Who is this course for?
Developers or teams dealing with growing repositories who need to decide between monorepo and polyrepo approaches, manage submodules, handle large files, or evaluate whether an existing repository is in good shape.