Please see the [installation from source guide](installation.md) and the [installation guides](https://about.gitlab.com/installation/) for more information.
It does **not** run on Windows, and we have no plans to support it in the near future. For the latest development status view this [issue](https://gitlab.com/gitlab-org/gitlab-ce/issues/46567).
The necessary hard drive space largely depends on the size of the repos you want to store in GitLab but as a *rule of thumb* you should have at least as much free space as all your repos combined take up.
If you want to be flexible about growing your hard drive space in the future consider mounting it using LVM so you can add more hard drives when you need them.
Apart from a local hard drive you can also mount a volume that supports the network file system (NFS) protocol. This volume might be located on a file server, a network attached storage (NAS) device, a storage area network (SAN) or on an Amazon Web Services (AWS) Elastic Block Store (EBS) volume.
If you have enough RAM memory and a recent CPU the speed of GitLab is mainly limited by hard drive seek times. Having a fast drive (7200 RPM and up) or a solid state drive (SSD) will improve the responsiveness of GitLab.
- 1GB RAM + 3GB of swap is the absolute minimum but we strongly **advise against** this amount of memory. See the [unicorn worker section below](#unicorn-workers) for more advice.
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 how many you need of those.
- MySQL/MariaDB (strongly discouraged, not all GitLab features are supported, no support for [MySQL/MariaDB GTID](https://mariadb.com/kb/en/mariadb/gtid/))
1. GitLab [optimizes the loading of dashboard events](https://gitlab.com/gitlab-org/gitlab-ce/issues/31806) using [PostgreSQL LATERAL JOINs](https://blog.heapanalytics.com/postgresqls-powerful-new-join-type-lateral/).
1. In general, SQL optimized for PostgreSQL may run much slower in MySQL due to
differences in query planners. For example, subqueries that work well in PostgreSQL
may not be [performant in MySQL](https://dev.mysql.com/doc/refman/5.7/en/optimizing-subqueries.html)
If you are using [GitLab Geo](https://docs.gitlab.com/ee/development/geo.html), the [tracking database](https://docs.gitlab.com/ee/development/geo.html#geo-tracking-database) also requires the `postgres_fdw` extension.
It's possible to increase the amount of unicorn workers and this will usually help to reduce the response time of the applications and increase the ability to handle parallel requests.
For most instances we recommend using: CPU cores + 1 = unicorn workers.
So for a machine with 2 cores, 3 unicorn workers is ideal.
For all machines that have 2GB and up we recommend a minimum of three unicorn workers.
If you have a 1GB machine we recommend to configure only two Unicorn workers to prevent excessive swapping.
To change the Unicorn workers when you have the Omnibus package (which defaults to the recommendation above) please see [the Unicorn settings in the Omnibus GitLab documentation](https://gitlab.com/gitlab-org/omnibus-gitlab/blob/master/doc/settings/unicorn.md#unicorn-settings).
We support the current and the previous major release of Firefox, Chrome/Chromium, Safari and Microsoft browsers (Microsoft Edge and Internet Explorer 11).