When adding a custom domain, users will be required to prove they own it by
adding a GitLab-controlled verification code to the DNS records for that domain.
If your userbase is private or otherwise trusted, you can disable the
If your userbase is private or otherwise trusted, you can disable the
verification requirement. Navigate to **Admin Area > Settings > Preferences** and
uncheck **Require users to prove ownership of custom domains** in the **Pages** section.
This setting is enabled by default.
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@@ -358,7 +358,7 @@ For Omnibus, normally this would be fixed by [installing a custom CA in GitLab O
but a [bug](https://gitlab.com/gitlab-org/gitlab/issues/25411) is currently preventing
that method from working. Use the following workaround:
1. Append your GitLab server TLS/SSL certficate to `/opt/gitlab/embedded/ssl/certs/cacert.pem` where `gitlab-domain-example.com` is your GitLab application URL
1. Append your GitLab server TLS/SSL certificate to `/opt/gitlab/embedded/ssl/certs/cacert.pem` where `gitlab-domain-example.com` is your GitLab application URL
-**Lucene**: A full-text search library written in Java.
-**Near Realtime (NRT)**: Refers to the slight latency from the time to index a
-**Near real time (NRT)**: Refers to the slight latency from the time to index a
document to the time when it becomes searchable.
-**Cluster**: A collection of one or more nodes that work together to hold all
the data, providing indexing and search capabilities.
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@@ -271,7 +271,7 @@ Generally speaking, ensure:
- The Elasticsearch server have enough RAM and CPU cores.
- That sharding **is** being used.
Going into some more detail here, if Elasticsearch is running on the same server as GitLab, resource contention is **very** likely to occur. Ideally, Elasticsearch, which requires ample resources, should be running on its own server (maybe coupled with logstash and kibana).
Going into some more detail here, if Elasticsearch is running on the same server as GitLab, resource contention is **very** likely to occur. Ideally, Elasticsearch, which requires ample resources, should be running on its own server (maybe coupled with Logstash and Kibana).
When it comes to Elasticsearch, RAM is the key resource. Elasticsearch themselves recommend: