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-rw-r--r--doc/development/performance.md8
1 files changed, 4 insertions, 4 deletions
diff --git a/doc/development/performance.md b/doc/development/performance.md
index 479782e0ccf..4f22d9ceb03 100644
--- a/doc/development/performance.md
+++ b/doc/development/performance.md
@@ -1,7 +1,7 @@
---
stage: none
group: unassigned
-info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/engineering/ux/technical-writing/#assignments
+info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/product/ux/technical-writing/#assignments
---
# Performance Guidelines
@@ -79,7 +79,7 @@ GitLab provides built-in tools to help improve performance and availability:
- [Service measurement](service_measurement.md) for measuring and logging service execution.
GitLab team members can use [GitLab.com's performance monitoring systems](https://about.gitlab.com/handbook/engineering/monitoring/) located at
-[`dashboards.gitlab.net`](https://dashboards.gitlab.net), this requires you to log in using your
+[`dashboards.gitlab.net`](https://dashboards.gitlab.net), this requires you to sign in using your
`@gitlab.com` email address. Non-GitLab team-members are advised to set up their
own Prometheus and Grafana stack.
@@ -391,7 +391,7 @@ We store these results also when running nightly scheduled CI jobs on the
default branch on `gitlab.com`. Statistics of these profiling data are
[available online](https://gitlab-org.gitlab.io/rspec_profiling_stats/). For
example, you can find which tests take longest to run or which execute the most
-queries. This can be handy for optimizing our tests or identifying performance
+queries. Use this to optimize our tests or identify performance
issues in our code.
## Memory optimization
@@ -925,7 +925,7 @@ SOME_CONSTANT = 'bar'
## How to seed a database with millions of rows
You might want millions of project rows in your local database, for example,
-in order to compare relative query performance, or to reproduce a bug. You could
+to compare relative query performance, or to reproduce a bug. You could
do this by hand with SQL commands or using [Mass Inserting Rails Models](mass_insert.md) functionality.
Assuming you are working with ActiveRecord models, you might also find these links helpful: