Welcome to mirror list, hosted at ThFree Co, Russian Federation.

gitlab.com/gitlab-org/gitlab-foss.git - Unnamed repository; edit this file 'description' to name the repository.
summaryrefslogtreecommitdiff
diff options
context:
space:
mode:
authorSytse Sijbrandij <sytse@gitlab.com>2015-07-07 19:23:11 +0300
committerSytse Sijbrandij <sytse@gitlab.com>2015-07-07 19:23:11 +0300
commit75e33e23d148f8958295a247aaba9d7ec6b91b37 (patch)
tree79d65692f2ff1ae52a1e76c60c6cf41c1c536cfc /doc/install/requirements.md
parent540656f9ecb9c519f1ca61b71c05698d15c76995 (diff)
parentd8c9d948178e15a9eb426a60aa803e2f628d5350 (diff)
Merge branch 'master' of gitlab.com:gitlab-org/gitlab-ce
Conflicts: doc/install/requirements.md
Diffstat (limited to 'doc/install/requirements.md')
-rw-r--r--doc/install/requirements.md4
1 files changed, 3 insertions, 1 deletions
diff --git a/doc/install/requirements.md b/doc/install/requirements.md
index 2b72c410b18..a33f149efe4 100644
--- a/doc/install/requirements.md
+++ b/doc/install/requirements.md
@@ -57,6 +57,7 @@ If you have enough RAM memory and a recent CPU the speed of GitLab is mainly lim
- 16 cores supports up to 10,000 users
- 32 cores supports up to 20,000 users
- 64 cores supports up to 40,000 users
+- More users? Run it on [multiple application servers](https://about.gitlab.com/high-availability/)
### Memory
@@ -72,8 +73,9 @@ With less memory GitLab will give strange errors during the reconfigure run and
- 32GB RAM supports up to 8,000 users
- 64GB RAM supports up to 16,000 users
- 128GB RAM supports up to 32,000 users
+- More users? Run it on [multiple application servers](https://about.gitlab.com/high-availability/)
-Notice: The 25 workers of Sidekiq will show up as separate processes in your process overview (such as top or htop) but they share the same RAM allocation since Sidekiq is a multithreaded application. Please see the section below about Unicorn workers.
+Notice: The 25 workers of Sidekiq will show up as separate processes in your process overview (such as top or htop) but they share the same RAM allocation since Sidekiq is a multithreaded application. Please see the section below about Unicorn workers for information about many you need of those.
## Unicorn Workers