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authorGitLab Bot <gitlab-bot@gitlab.com>2023-01-26 18:09:04 +0300
committerGitLab Bot <gitlab-bot@gitlab.com>2023-01-26 18:09:04 +0300
commitee24c7d68f57a67754a5d1e2ea99f688029d14bd (patch)
tree8391744a26dd3f77c4bb1bbb55672ba0e066d969 /doc/development/workhorse
parenta1c0b634f78f51389fd3ec390a1803afa3de49a2 (diff)
Add latest changes from gitlab-org/gitlab@master
Diffstat (limited to 'doc/development/workhorse')
-rw-r--r--doc/development/workhorse/gitlab_features.md2
1 files changed, 1 insertions, 1 deletions
diff --git a/doc/development/workhorse/gitlab_features.md b/doc/development/workhorse/gitlab_features.md
index 824ebda0441..b4146e8b62c 100644
--- a/doc/development/workhorse/gitlab_features.md
+++ b/doc/development/workhorse/gitlab_features.md
@@ -12,7 +12,7 @@ GitLab that would not work efficiently without Workhorse.
To put the efficiency benefit in context, consider that in 2020Q3 on
GitLab.com [we see](https://thanos-query.ops.gitlab.net/graph?g0.range_input=1h&g0.max_source_resolution=0s&g0.expr=sum(ruby_process_resident_memory_bytes%7Bapp%3D%22webservice%22%2Cenv%3D%22gprd%22%2Crelease%3D%22gitlab%22%7D)%20%2F%20sum(puma_max_threads%7Bapp%3D%22webservice%22%2Cenv%3D%22gprd%22%2Crelease%3D%22gitlab%22%7D)&g0.tab=1&g1.range_input=1h&g1.max_source_resolution=0s&g1.expr=sum(go_memstats_sys_bytes%7Bapp%3D%22webservice%22%2Cenv%3D%22gprd%22%2Crelease%3D%22gitlab%22%7D)%2Fsum(go_goroutines%7Bapp%3D%22webservice%22%2Cenv%3D%22gprd%22%2Crelease%3D%22gitlab%22%7D)&g1.tab=1)
Rails application threads using on average
-about 200MB of RSS vs about 200KB for Workhorse goroutines.
+about 200 MB of RSS vs about 200 KB for Workhorse goroutines.
Examples of features that rely on Workhorse: