- Course
Performance Engineering for Large Git Repos
Large Git repositories can slow development and reduce productivity. This course will teach you how to measure repository performance, reduce local footprint with Sparse Checkout and Partial Clone, and maintain speed at scale.
- Course
Performance Engineering for Large Git Repos
Large Git repositories can slow development and reduce productivity. This course will teach you how to measure repository performance, reduce local footprint with Sparse Checkout and Partial Clone, and maintain speed at scale.
Get started today
Access this course and other top-rated tech content with one of our business plans.
Try this course for free
Access this course and other top-rated tech content with one of our individual plans.
This course is included in the libraries shown below:
- Core Tech
What you'll learn
Large Git repositories can become difficult to manage, leading to slower workflows, increased storage costs, and reduced developer productivity. In this course, Performance Engineering for Large Git Repos, you’ll gain the ability to diagnose, tune, and sustain Git performance in massive enterprise codebases. First, you’ll explore how to measure repository bloat using git-sizer and git rev-list to identify oversized objects, deep histories, and structural bottlenecks. Next, you’ll discover how to implement Sparse Checkouts, Partial Clones, Scalar, and Git LFS to dramatically reduce local disk usage and network latency. Finally, you’ll learn how to configure background maintenance with git gc and git repack to sustain long-term repository health and assess your tooling’s readiness for the Git 3.0 reftable backend. When you’re finished with this course, you’ll have the skills and knowledge of Git performance engineering needed to keep large repositories fast, healthy, and ready for the future.