205 lines
10 KiB
Markdown
205 lines
10 KiB
Markdown
# Requirements
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## Operating Systems
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### Supported Unix distributions
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- Ubuntu
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- Debian
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- CentOS
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- openSUSE
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- Red Hat Enterprise Linux (please use the CentOS packages and instructions)
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- Scientific Linux (please use the CentOS packages and instructions)
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- Oracle Linux (please use the CentOS packages and instructions)
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For the installations options please see [the installation page on the GitLab website](https://about.gitlab.com/installation/).
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### Unsupported Unix distributions
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- Arch Linux
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- Fedora
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- FreeBSD
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- Gentoo
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- macOS
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On the above unsupported distributions is still possible to install GitLab yourself.
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Please see the [installation from source guide](installation.md) and the [installation guides](https://about.gitlab.com/installation/) for more information.
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### Non-Unix operating systems such as Windows
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GitLab is developed for Unix operating systems.
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GitLab does **not** run on Windows and we have no plans of supporting it in the near future.
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Please consider using a virtual machine to run GitLab.
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## Ruby versions
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GitLab requires Ruby (MRI) 2.3. Support for Ruby versions below 2.3 (2.1, 2.2) will stop with GitLab 8.13.
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You will have to use the standard MRI implementation of Ruby.
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We love [JRuby](http://jruby.org/) and [Rubinius](http://rubini.us/) but GitLab
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needs several Gems that have native extensions.
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## Hardware requirements
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### Storage
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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.
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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.
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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.
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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.
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### CPU
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- 1 core supports up to 100 users but the application can be a bit slower due to having all workers and background jobs running on the same core
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- **2 cores** is the **recommended** number of cores and supports up to 500 users
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- 4 cores supports up to 2,000 users
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- 8 cores supports up to 5,000 users
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- 16 cores supports up to 10,000 users
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- 32 cores supports up to 20,000 users
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- 64 cores supports up to 40,000 users
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- More users? Run it on [multiple application servers](https://about.gitlab.com/high-availability/)
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### Memory
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You need at least 4GB of addressable memory (RAM + swap) to install and use GitLab!
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The operating system and any other running applications will also be using memory
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so keep in mind that you need at least 4GB available before running GitLab. With
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less memory GitLab will give strange errors during the reconfigure run and 500
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errors during usage.
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- 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.
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- 2GB RAM + 2GB swap supports up to 100 users but it will be very slow
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- **4GB RAM** is the **recommended** memory size for all installations and supports up to 100 users
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- 8GB RAM supports up to 1,000 users
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- 16GB RAM supports up to 2,000 users
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- 32GB RAM supports up to 4,000 users
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- 64GB RAM supports up to 8,000 users
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- 128GB RAM supports up to 16,000 users
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- 256GB RAM supports up to 32,000 users
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- More users? Run it on [multiple application servers](https://about.gitlab.com/high-availability/)
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We recommend having at least [2GB of swap on your server](https://askubuntu.com/a/505344/310789), even if you currently have
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enough available RAM. Having swap will help reduce the chance of errors occurring
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if your available memory changes. We also recommend [configuring the kernel's swappiness setting](https://askubuntu.com/a/103916)
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to a low value like `10` to make the most of your RAM while still having the swap
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available when needed.
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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.
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## Database
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The server running the database should have _at least_ 5-10 GB of storage
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available, though the exact requirements depend on the size of the GitLab
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installation (e.g. the number of users, projects, etc).
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We currently support the following databases:
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- PostgreSQL (highly recommended)
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- MySQL/MariaDB (strongly discouraged, not all GitLab features are supported, no support for [MySQL/MariaDB GTID](https://mariadb.com/kb/en/mariadb/gtid/))
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We highly recommend the use of PostgreSQL instead of MySQL/MariaDB as not all
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features of GitLab work with MySQL/MariaDB:
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1. MySQL support for subgroups was [dropped with GitLab 9.3][post].
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See [issue #30472][30472] for more information.
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1. GitLab Geo does [not support MySQL](https://docs.gitlab.com/ee/gitlab-geo/database.html#mysql-replication).
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1. [Zero downtime migrations][zero] do not work with MySQL
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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/).
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1. In general, SQL optimized for PostgreSQL may run much slower in MySQL due to
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differences in query planners. For example, subqueries that work well in PostgreSQL
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may not be [performant in MySQL](https://dev.mysql.com/doc/refman/5.7/en/optimizing-subqueries.html)
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1. We expect this list to grow over time.
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Existing users using GitLab with MySQL/MariaDB are advised to
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[migrate to PostgreSQL](../update/mysql_to_postgresql.md) instead.
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[30472]: https://gitlab.com/gitlab-org/gitlab-ce/issues/30472
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[zero]: ../update/README.md#upgrading-without-downtime
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[post]: https://about.gitlab.com/2017/06/22/gitlab-9-3-released/#dropping-support-for-subgroups-in-mysql
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### PostgreSQL Requirements
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As of GitLab 10.0, PostgreSQL 9.6 or newer is required, and earlier versions are
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not supported. We highly recommend users to use PostgreSQL 9.6 as this
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is the PostgreSQL version used for development and testing.
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Users using PostgreSQL must ensure the `pg_trgm` extension is loaded into every
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GitLab database. This extension can be enabled (using a PostgreSQL super user)
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by running the following query for every database:
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```
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CREATE EXTENSION pg_trgm;
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```
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On some systems you may need to install an additional package (e.g.
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`postgresql-contrib`) for this extension to become available.
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#### Additional requirements for GitLab Geo
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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.
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```
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CREATE EXTENSION postgres_fdw;
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```
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## Unicorn Workers
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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.
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For most instances we recommend using: CPU cores + 1 = unicorn workers.
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So for a machine with 2 cores, 3 unicorn workers is ideal.
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For all machines that have 2GB and up we recommend a minimum of three unicorn workers.
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If you have a 1GB machine we recommend to configure only two Unicorn workers to prevent excessive swapping.
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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).
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## Redis and Sidekiq
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Redis stores all user sessions and the background task queue.
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The storage requirements for Redis are minimal, about 25kB per user.
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Sidekiq processes the background jobs with a multithreaded process.
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This process starts with the entire Rails stack (200MB+) but it can grow over time due to memory leaks.
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On a very active server (10,000 active users) the Sidekiq process can use 1GB+ of memory.
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## Prometheus and its exporters
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As of Omnibus GitLab 9.0, [Prometheus](https://prometheus.io) and its related
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exporters are enabled by default, to enable easy and in depth monitoring of
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GitLab. Approximately 200MB of memory will be consumed by these processes, with
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default settings.
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If you would like to disable Prometheus and it's exporters or read more information
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about it, check the [Prometheus documentation](../administration/monitoring/prometheus/index.md).
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## GitLab Runner
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We strongly advise against installing GitLab Runner on the same machine you plan
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to install GitLab on. Depending on how you decide to configure GitLab Runner and
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what tools you use to exercise your application in the CI environment, GitLab
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Runner can consume significant amount of available memory.
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Memory consumption calculations, that are available above, will not be valid if
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you decide to run GitLab Runner and the GitLab Rails application on the same
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machine.
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It is also not safe to install everything on a single machine, because of the
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[security reasons] - especially when you plan to use shell executor with GitLab
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Runner.
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We recommend using a separate machine for each GitLab Runner, if you plan to
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use the CI features.
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[security reasons]: https://gitlab.com/gitlab-org/gitlab-runner/blob/master/docs/security/index.md
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## Supported web browsers
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We support the current and the previous major release of Firefox, Chrome/Chromium, Safari and Microsoft browsers (Microsoft Edge and Internet Explorer 11).
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Each time a new browser version is released, we begin supporting that version and stop supporting the third most recent version.
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Note: We do not support running GitLab with JavaScript disabled in the browser and have no plans of supporting that
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in the future because we have features such as Issue Boards which require JavaScript extensively.
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