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authorGitLab Bot <gitlab-bot@gitlab.com>2020-05-20 17:34:42 +0300
committerGitLab Bot <gitlab-bot@gitlab.com>2020-05-20 17:34:42 +0300
commit9f46488805e86b1bc341ea1620b866016c2ce5ed (patch)
treef9748c7e287041e37d6da49e0a29c9511dc34768 /doc/development/performance.md
parentdfc92d081ea0332d69c8aca2f0e745cb48ae5e6d (diff)
Add latest changes from gitlab-org/gitlab@13-0-stable-ee
Diffstat (limited to 'doc/development/performance.md')
-rw-r--r--doc/development/performance.md4
1 files changed, 2 insertions, 2 deletions
diff --git a/doc/development/performance.md b/doc/development/performance.md
index 5068103ff16..2e73161a11f 100644
--- a/doc/development/performance.md
+++ b/doc/development/performance.md
@@ -46,7 +46,7 @@ GitLab provides built-in tools to help improve performance and availability:
GitLab team members can use [GitLab.com's performance monitoring systems](https://about.gitlab.com/handbook/engineering/monitoring/) located at
<https://dashboards.gitlab.net>, this requires you to log in using your
`@gitlab.com` email address. Non-GitLab team-members are advised to set up their
-own InfluxDB and Grafana stack.
+own Prometheus and Grafana stack.
## Benchmarks
@@ -109,7 +109,7 @@ In short:
By collecting snapshots of process state at regular intervals, profiling allows
you to see where time is spent in a process. The [StackProf](https://github.com/tmm1/stackprof)
gem is included in GitLab's development environment, allowing you to investigate
-the behaviour of suspect code in detail.
+the behavior of suspect code in detail.
It's important to note that profiling an application *alters its performance*,
and will generally be done *in an unrepresentative environment*. In particular,