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+---
+type: reference, concepts
+---
+# Reference architectures
+
+<!-- TBD to be reviewed by Eric -->
+
+You can set up GitLab on a single server or scale it up to serve many users.
+This page details the recommended Reference Architectures that were built and verified by GitLab's Quality and Support teams.
+
+Below is a chart representing each architecture tier and the number of users they can handle. As your number of users grow with time, it’s recommended that you scale GitLab accordingly.
+
+![Reference Architectures](img/reference-architectures.png)
+<!-- Internal link: https://docs.google.com/spreadsheets/d/1obYP4fLKkVVDOljaI3-ozhmCiPtEeMblbBKkf2OADKs/edit#gid=1403207183 -->
+
+Testing on these reference architectures were performed with [GitLab's Performance Tool](https://gitlab.com/gitlab-org/quality/performance)
+at specific coded workloads, and the throughputs used for testing were calculated based on sample customer data.
+After selecting the reference architecture that matches your scale, refer to
+[Configure GitLab to Scale](#configure-gitlab-to-scale) to see the components
+involved, and how to configure them.
+
+Each endpoint type is tested with the following number of requests per second (RPS) per 1000 users:
+
+- API: 20 RPS
+- Web: 2 RPS
+- Git: 2 RPS
+
+For GitLab instances with less than 2,000 users, it's recommended that you use the [default setup](#automated-backups-core-only)
+by [installing GitLab](../../install/README.md) on a single machine to minimize maintenance and resource costs.
+
+If your organization has more than 2,000 users, the recommendation is to scale GitLab's components to multiple
+machine nodes. The machine nodes are grouped by component(s). The addition of these
+nodes increases the performance and scalability of to your GitLab instance.
+
+When scaling GitLab, there are several factors to consider:
+
+- Multiple application nodes to handle frontend traffic.
+- A load balancer is added in front to distribute traffic across the application nodes.
+- The application nodes connects to a shared file server and PostgreSQL and Redis services on the backend.
+
+NOTE: **Note:** Depending on your workflow, the following recommended
+reference architectures may need to be adapted accordingly. Your workload
+is influenced by factors including how active your users are,
+how much automation you use, mirroring, and repository/change size. Additionally the
+displayed memory values are provided by [GCP machine types](https://cloud.google.com/compute/docs/machine-types).
+For different cloud vendors, attempt to select options that best match the provided architecture.
+
+## Available reference architectures
+
+The following reference architectures are available:
+
+- [Up to 1,000 users](1k_users.md)
+- [Up to 2,000 users](2k_users.md)
+- [Up to 3,000 users](3k_users.md)
+- [Up to 5,000 users](5k_users.md)
+- [Up to 10,000 users](10k_users.md)
+- [Up to 25,000 users](25k_users.md)
+- [Up to 50,000 users](50k_users.md)
+
+## Availability Components
+
+GitLab comes with the following components for your use, listed from
+least to most complex:
+
+1. [Automated backups](#automated-backups-core-only)
+1. [Traffic load balancer](#traffic-load-balancer-starter-only)
+1. [Zero downtime updates](#zero-downtime-updates-starter-only)
+1. [Automated database failover](#automated-database-failover-premium-only)
+1. [Instance level replication with GitLab Geo](#instance-level-replication-with-gitlab-geo-premium-only)
+
+As you implement these components, begin with a single server and then do
+backups. Only after completing the first server should you proceed to the next.
+
+Also, not implementing extra servers for GitLab doesn't necessarily mean that you'll have
+more downtime. Depending on your needs and experience level, single servers can
+have more actual perceived uptime for your users.
+
+### Automated backups **(CORE ONLY)**
+
+> - Level of complexity: **Low**
+> - Required domain knowledge: PostgreSQL, GitLab configurations, Git
+> - Supported tiers: [GitLab Core, Starter, Premium, and Ultimate](https://about.gitlab.com/pricing/)
+
+This solution is appropriate for many teams that have the default GitLab installation.
+With automatic backups of the GitLab repositories, configuration, and the database,
+this can be an optimal solution if you don't have strict requirements.
+[Automated backups](../../raketasks/backup_restore.md#configuring-cron-to-make-daily-backups)
+is the least complex to setup. This provides a point-in-time recovery of a predetermined schedule.
+
+### Traffic load balancer **(STARTER ONLY)**
+
+> - Level of complexity: **Medium**
+> - Required domain knowledge: HAProxy, shared storage, distributed systems
+> - Supported tiers: [GitLab Starter, Premium, and Ultimate](https://about.gitlab.com/pricing/)
+
+This requires separating out GitLab into multiple application nodes with an added
+[load balancer](../high_availability/load_balancer.md). The load balancer will distribute traffic
+across GitLab application nodes. Meanwhile, each application node connects to a
+shared file server and database systems on the back end. This way, if one of the
+application servers fails, the workflow is not interrupted.
+[HAProxy](https://www.haproxy.org/) is recommended as the load balancer.
+
+With this added component you have a number of advantages compared
+to the default installation:
+
+- Increase the number of users.
+- Enable zero-downtime upgrades.
+- Increase availability.
+
+### Zero downtime updates **(STARTER ONLY)**
+
+> - Level of complexity: **Medium**
+> - Required domain knowledge: PostgreSQL, HAProxy, shared storage, distributed systems
+> - Supported tiers: [GitLab Starter, Premium, and Ultimate](https://about.gitlab.com/pricing/)
+
+GitLab supports [zero-downtime updates](https://docs.gitlab.com/omnibus/update/#zero-downtime-updates).
+Although you can perform zero-downtime updates with a single GitLab node, the recommendation is to separate GitLab into several application nodes.
+As long as at least one of each component is online and capable of handling the instance's usage load, your team's productivity will not be interrupted during the update.
+
+### Automated database failover **(PREMIUM ONLY)**
+
+> - Level of complexity: **High**
+> - Required domain knowledge: PgBouncer, Repmgr, shared storage, distributed systems
+> - Supported tiers: [GitLab Premium and Ultimate](https://about.gitlab.com/pricing/)
+
+By adding automatic failover for database systems, you can enable higher uptime
+with additional database nodes. This extends the default database with
+cluster management and failover policies.
+[PgBouncer](../../development/architecture.md#pgbouncer) in conjunction with
+[Repmgr](../high_availability/database.md) is recommended.
+
+### Instance level replication with GitLab Geo **(PREMIUM ONLY)**
+
+> - Level of complexity: **Very High**
+> - Required domain knowledge: Storage replication
+> - Supported tiers: [GitLab Premium and Ultimate](https://about.gitlab.com/pricing/)
+
+[GitLab Geo](../geo/replication/index.md) allows you to replicate your GitLab
+instance to other geographical locations as a read-only fully operational instance
+that can also be promoted in case of disaster.
+
+## Configure GitLab to scale
+
+The following components are the ones you need to configure in order to scale
+GitLab. They are listed in the order you'll typically configure them if they are
+required by your [reference architecture](#reference-architectures) of choice.
+
+Most of them are bundled in the GitLab deb/rpm package (called Omnibus GitLab),
+but depending on your system architecture, you may require some components which are
+not included in it. If required, those should be configured before
+setting up components provided by GitLab. Advice on how to select the right
+solution for your organization is provided in the configuration instructions
+column.
+
+| Component | Description | Configuration instructions | Bundled with Omnibus GitLab |
+|-----------|-------------|----------------------------|
+| Load balancer(s) ([6](#footnotes)) | Handles load balancing, typically when you have multiple GitLab application services nodes | [Load balancer configuration](../high_availability/load_balancer.md) ([6](#footnotes)) | No |
+| Object storage service ([4](#footnotes)) | Recommended store for shared data objects | [Object Storage configuration](../object_storage.md) | No |
+| NFS ([5](#footnotes)) ([7](#footnotes)) | Shared disk storage service. Can be used as an alternative Object Storage. Required for GitLab Pages | [NFS configuration](../high_availability/nfs.md) | No |
+| [Consul](../../development/architecture.md#consul) ([3](#footnotes)) | Service discovery and health checks/failover | [Consul configuration](../high_availability/consul.md) **(PREMIUM ONLY)** | Yes |
+| [PostgreSQL](../../development/architecture.md#postgresql) | Database | [PostgreSQL configuration](https://docs.gitlab.com/omnibus/settings/database.html) | Yes |
+| [PgBouncer](../../development/architecture.md#pgbouncer) | Database connection pooler | [PgBouncer configuration](../high_availability/pgbouncer.md#running-pgbouncer-as-part-of-a-non-ha-gitlab-installation) **(PREMIUM ONLY)** | Yes |
+| Repmgr | PostgreSQL cluster management and failover | [PostgreSQL and Repmgr configuration](../high_availability/database.md) | Yes |
+| [Redis](../../development/architecture.md#redis) ([3](#footnotes)) | Key/value store for fast data lookup and caching | [Redis configuration](../high_availability/redis.md) | Yes |
+| Redis Sentinel | Redis | [Redis Sentinel configuration](../high_availability/redis.md) | Yes |
+| [Gitaly](../../development/architecture.md#gitaly) ([2](#footnotes)) ([7](#footnotes)) ([10](#footnotes)) | Provides access to Git repositories | [Gitaly configuration](../gitaly/index.md#running-gitaly-on-its-own-server) | Yes |
+| [Sidekiq](../../development/architecture.md#sidekiq) | Asynchronous/background jobs | [Sidekiq configuration](../high_availability/sidekiq.md) | Yes |
+| [GitLab application services](../../development/architecture.md#unicorn)([1](#footnotes)) | Puma/Unicorn, Workhorse, GitLab Shell - serves front-end requests (UI, API, Git over HTTP/SSH) | [GitLab app scaling configuration](../high_availability/gitlab.md) | Yes |
+| [Prometheus](../../development/architecture.md#prometheus) and [Grafana](../../development/architecture.md#grafana) | GitLab environment monitoring | [Monitoring node for scaling](../high_availability/monitoring_node.md) | Yes |
+
+## Footnotes
+
+1. In our architectures we run each GitLab Rails node using the Puma webserver
+ and have its number of workers set to 90% of available CPUs along with four threads. For
+ nodes that are running Rails with other components the worker value should be reduced
+ accordingly where we've found 50% achieves a good balance but this is dependent
+ on workload.
+
+1. Gitaly node requirements are dependent on customer data, specifically the number of
+ projects and their sizes. We recommend two nodes as an absolute minimum,
+ and at least four nodes should be used when supporting 50,000 or more users.
+ We also recommend that each Gitaly node should store no more than 5TB of data
+ and have the number of [`gitaly-ruby` workers](../gitaly/index.md#gitaly-ruby)
+ set to 20% of available CPUs. Additional nodes should be considered in conjunction
+ with a review of expected data size and spread based on the recommendations above.
+
+1. Recommended Redis setup differs depending on the size of the architecture.
+ For smaller architectures (less than 3,000 users) a single instance should suffice.
+ For medium sized installs (3,000 - 5,000) we suggest one Redis cluster for all
+ classes and that Redis Sentinel is hosted alongside Consul.
+ For larger architectures (10,000 users or more) we suggest running a separate
+ [Redis Cluster](../high_availability/redis.md#running-multiple-redis-clusters) for the Cache class
+ and another for the Queues and Shared State classes respectively. We also recommend
+ that you run the Redis Sentinel clusters separately for each Redis Cluster.
+
+1. For data objects such as LFS, Uploads, Artifacts, etc. We recommend an [Object Storage service](../object_storage.md)
+ over NFS where possible, due to better performance.
+
+1. NFS can be used as an alternative for object storage but this isn't typically
+ recommended for performance reasons. Note however it is required for [GitLab
+ Pages](https://gitlab.com/gitlab-org/gitlab-pages/issues/196).
+
+1. Our architectures have been tested and validated with [HAProxy](https://www.haproxy.org/)
+ as the load balancer. Although other load balancers with similar feature sets
+ could also be used, those load balancers have not been validated.
+
+1. We strongly recommend that any Gitaly or NFS nodes be set up with SSD disks over
+ HDD with a throughput of at least 8,000 IOPS for read operations and 2,000 IOPS for write
+ as these components have heavy I/O. These IOPS values are recommended only as a starter
+ as with time they may be adjusted higher or lower depending on the scale of your
+ environment's workload. If you're running the environment on a Cloud provider
+ you may need to refer to their documentation on how configure IOPS correctly.
+
+1. The architectures were built and tested with the [Intel Xeon E5 v3 (Haswell)](https://cloud.google.com/compute/docs/cpu-platforms)
+ CPU platform on GCP. On different hardware you may find that adjustments, either lower
+ or higher, are required for your CPU or Node counts accordingly. For more information, a
+ [Sysbench](https://github.com/akopytov/sysbench) benchmark of the CPU can be found
+ [here](https://gitlab.com/gitlab-org/quality/performance/-/wikis/Reference-Architectures/GCP-CPU-Benchmarks).
+
+1. AWS-equivalent and Azure-equivalent configurations are rough suggestions
+ and may change in the future. They have not yet been tested and validated.
+
+1. From GitLab 13.0, using NFS for Git repositories is deprecated. In GitLab
+ 14.0, support for NFS for Git repositories is scheduled to be removed.
+ Upgrade to [Gitaly Cluster](../gitaly/praefect.md) as soon as possible.