• Hardware requirements
  • Storage
  • CPU
  • Memory
• Database
  • PostgreSQL requirements
    • Additional requirements for GitLab Geo
    • Operating system locale compatibility and silent index corruption
    • Gitaly Cluster database requirements
    • Exclusive use of GitLab databases
• Puma settings
  • Puma workers
  • Puma threads
  • Puma per worker maximum memory
• Redis
• Sidekiq
• Prometheus and its exporters
• GitLab Runner
• Supported web browsers
• Security

Installation system requirements

This page includes information about the minimum requirements you need to install and use GitLab.

Hardware requirements

Storage

The necessary hard drive space largely depends on the size of the repositories you want to store in GitLab but as a guideline you should have at least as much free space as all your repositories combined take up.

The Linux package requires about 2.5 GB of storage space for installation.

If you want to be flexible about growing your hard drive space in the future consider mounting it using logical volume management (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 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) improves the responsiveness of GitLab.

CPU

CPU requirements are dependent on the number of users and expected workload. Your exact needs may be more, depending on your workload. Your workload is influenced by factors such as - but not limited to - how active your users are, how much automation you use, mirroring, and repository/change size.

Refer below for CPU recommendations depending on user count / load:

• Up to 20 Requests per Second (RPS) or 1000 users - 8 vCPU.
• More users or load? Consult the reference architectures page.

Memory

Memory requirements are dependent on the number of users and expected workload. Your exact needs may be more, depending on your workload. Your workload is influenced by factors such as - but not limited to - how active your users are, how much automation you use, mirroring, and repository/change size.

Refer below for Memory recommendations depending on user count / load:

• Up to 20 Requests per Second (RPS) or 1000 users - 8 GB (Minimum), 16 GB (Recommended).
• More users or load? Consult the reference architectures page.

Database

PostgreSQL is the only supported database, which is bundled with the Linux package. You can also use an external PostgreSQL database.

PostgreSQL requirements

The server running PostgreSQL should have a certain amount of storage available, though the exact amount depends on the number of users. For:

• Most GitLab self-managed instances, at least 5 to 10 GB of storage available.
• GitLab self-managed instance at the Ultimate tier, at least 12 GB of storage available, because 1 GB of vulnerability data must be imported.

You should use the versions of PostgreSQL specified in the following table for your version of GitLab because these were used for development and testing:

Footnotes:

1. PostgreSQL minor release upgrades (for example 14.8 to 14.9) include only bug and security fixes. Patch levels in this table are not prescriptive. Always deploy the most recent patch level to avoid known bugs in PostgreSQL that might be triggered by GitLab.
2. If you want to run a later major release of PostgreSQL than the specified minimum check if a more recent version shipped with Linux package (Omnibus) GitLab. postgresql-new is a later version that’s definitely supported.
3. PostgreSQL 14.x tested against GitLab 15.11 only.
4. Tested against GitLab 16.1 and later.

You must also ensure the following extensions are loaded into every GitLab database. Read more about this requirement, and troubleshooting.

The following managed PostgreSQL services are known to be incompatible and should not be used:

Additional requirements for GitLab Geo

If you’re using GitLab Geo, we strongly recommend running instances installed by using the Linux package or using validated cloud-managed instances, as we actively develop and test based on those. We cannot guarantee compatibility with other external databases.

It is recommended to review the full requirements for running Geo.

Operating system locale compatibility and silent index corruption

Changes to locale data in glibc means that PostgreSQL database files are not fully compatible between different OS releases.

To avoid index corruption, check for locale compatibility when:

• Moving binary PostgreSQL data between servers.
• Upgrading your Linux distribution.
• Updating or changing third party container images.

For more information, see how to upgrade operating systems for PostgreSQL.

Gitaly Cluster database requirements

Read more in the Gitaly Cluster documentation.

Exclusive use of GitLab databases

Databases created or used for GitLab, Geo, Gitaly Cluster, or other components should be for the exclusive use of GitLab. Do not make direct changes to the database, schemas, users, or other properties except when following procedures in the GitLab documentation or following the directions of GitLab Support or other GitLab engineers.

• The main GitLab application uses three schemas:

  • The default public schema
  • gitlab_partitions_static (automatically created)
  • gitlab_partitions_dynamic (automatically created)

  No other schemas should be manually created.

• GitLab may create new schemas as part of Rails database migrations. This happens when performing a GitLab upgrade. The GitLab database account requires access to do this.

• GitLab creates and modifies tables during the upgrade process, and also as part of standard operations to manage partitioned tables.

• You should not modify the GitLab schema (for example, adding triggers or modifying tables). Database migrations are tested against the schema definition in the GitLab codebase. GitLab version upgrades may fail if the schema is modified.

Puma settings

The recommended settings for Puma are determined by the infrastructure on which it’s running. The Linux package defaults to the recommended Puma settings. Regardless of installation method, you can tune the Puma settings:

• If you’re using the Linux package, see Puma settings for instructions on changing the Puma settings.
• If you’re using the GitLab Helm chart, see the webservice chart.

Puma workers

The recommended number of workers is calculated as the highest of the following:

• 2
• A combination of CPU and memory resource availability (see how this is configured automatically for the Linux package).

Take for example the following scenarios:

• A node with 2 cores / 8 GB memory should be configured with 2 Puma workers.

  Calculated as:

  The highest number from
  2
  And
  [
  the lowest number from
    - number of cores: 2
    - memory limit: (8 - 1.5) = 6.5
  ]
  

  So, the highest from 2 and 2 is 2.

• A node with 4 cores / 4 GB memory should be configured with 2 Puma workers.

  The highest number from
  2
  And
  [
  the lowest number from
    - number of cores: 4
    - memory limit: (4 - 1.5) = 2.5
  ]
  

  So, the highest from 2 and 2 is 2.

• A node with 4 cores / 8 GB memory should be configured with 4 Puma workers.

  The highest number from
  2
  And
  [
  the lowest number from
    - number of cores: 4
    - memory limit: (8 - 1.5) = 6.5
  ]
  

  So, the highest from 2 and 4 is 4.

You can increase the number of Puma workers, provided enough CPU and memory capacity is available. A higher number of Puma workers usually helps to reduce the response time of the application and increase the ability to handle parallel requests. You must perform testing to verify the optimal settings for your infrastructure.

Puma threads

The recommended number of threads is dependent on several factors, including total memory.

• If the operating system has a maximum 2 GB of memory, the recommended number of threads is 1. A higher value results in excess swapping, and decrease performance.
• In all other cases, the recommended number of threads is 4. We don’t recommend setting this higher, due to how Ruby MRI multi-threading works.

Puma per worker maximum memory

By default, each Puma worker is limited to 1.2 GB of memory. You can adjust this memory setting and should do so if you must increase the number of Puma workers.

Redis

Redis stores all user sessions and the background task queue.

The requirements for Redis are as follows:

• Redis 6.x or 7.x is required in GitLab 16.0 and later. However, you should upgrade to Redis 6.2.14 or later as Redis 6.0 is no longer supported.
• Redis Cluster mode is not supported. Redis Standalone must be used, with or without HA.
• Storage requirements for Redis are minimal, about 25 kB per user on average.
• Redis eviction mode set appropriately.

Sidekiq

Sidekiq processes the background jobs with a multi-threaded process. This process starts with the entire Rails stack (200 MB+) but it can grow over time due to memory leaks. On a very active server (10,000 billable users) the Sidekiq process can use 1 GB+ of memory.

Prometheus and its exporters

Prometheus and its related exporters are enabled by default to enable in depth monitoring of GitLab. With default settings, these processes consume approximately 200 MB of memory.

If you would like to disable Prometheus and it’s exporters or read more information about it, check the Prometheus documentation.

GitLab Runner

We strongly advise against installing GitLab Runner on the same machine you plan to install GitLab on. Depending on how you decide to configure GitLab Runner and what tools you use to exercise your application in the CI environment, GitLab Runner can consume significant amount of available memory.

Memory consumption calculations, that are available above, are not valid if you decide to run GitLab Runner and the GitLab Rails application on the same machine.

It’s also not safe to install everything on a single machine, because of the security reasons, especially when you plan to use shell executor with GitLab Runner.

We recommend using a separate machine for each GitLab Runner, if you plan to use the CI features. The GitLab Runner server requirements depend on:

• The type of executor you configured on GitLab Runner.
• Resources required to run build jobs.
• Job concurrency settings.

Because the nature of the jobs varies for each use case, you must experiment by adjusting the job concurrency to get the optimum setting.

For reference, the SaaS runners on Linux are configured so that a single job runs in a single instance with:

• 1 vCPU.
• 3.75 GB of RAM.

Supported web browsers

GitLab supports the following web browsers:

• Mozilla Firefox
• Google Chrome
• Chromium
• Apple Safari
• Microsoft Edge

For the listed web browsers, GitLab supports:

• The current and previous major versions of browsers.
• The current minor version of a supported major version.

Security

After installation, be sure to read and follow guidance on maintaining a secure GitLab installation.