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authorDarwin Sanoy <dsanoy@gitlab.com>2021-04-26 18:27:55 +0300
committerDarwin Sanoy <dsanoy@gitlab.com>2021-04-26 18:27:55 +0300
commit17b5072fb3b4cf9ce5125824348c2d0cab63d9fc (patch)
tree20c87499c76ff235aa0fc0cb16fedb43556a785c /doc/DESIGN.md
parent9566f93d2c1c4973facb1132a2ce6b0459f8195e (diff)
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@@ -24,7 +24,7 @@ Gitaly is a layer that brings horizontal scaling and higher availability to mass
These workload characteristics are not fundamentally predictable across the portfolio of source code that a given GitLab server may need to store. Large monorepos might exist at companies with few employees. Binaries storage - while not considered an ideal file type for Git file systems - is common in some industry segments or project types. This means that architecting a GitLab instance with built-in Git headroom limitations causes unexpected limitations of specific Git usage patterns of the people using the instance.
These are some of the most challenging git workloads for Git:
-- Large scale monorepos (commit volume is and packs for full clones are very large).
+- Large scale, busy monorepos (commit volume is and packs for full clones are very large).
- High commit volume on a single repository (commits and packs for full clones are very frequent).
- Binaries stored in the Git object database. (In GitLab Git LFS can be redirected to PaaS storage).
- Full history cloning - due to packfile creation requirements.