Ted Nyman has published "High Performance Git," a comprehensive guide treating Git as what it actually is beneath the surface: a content-addressed database, filesystem cache, graph walker, and transfer protocol. The book systematically explores the performance costs of each layer, starting with objects, refs, the index, and history traversal before expanding into packfiles, maintenance, sparse working trees, partial clone, transport, and repository scale.

The five-section structure moves from foundations (why Git gets slow, the core data model) through history rewriting, storage mechanics like delta compression and commit-graph files, and large-repo operations including partial clone, bundle URIs, and ref scale management. A final section covers diagnosis and recovery—instrumenting Git to find slow layers, applying high-leverage configuration settings, and repairing corrupted repositories.

This book targets build and CI engineers, monorepo owners, developer-experience teams, and the people who wind up debugging strange Git behavior when easy explanations stop working. For organizations managing massive repositories where Git performance directly impacts developer productivity, it fills a gap between basic tutorials and the raw documentation.