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23
.gitlab/CODEOWNERS
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@ -148,17 +148,18 @@ Dangerfile @gl-quality/eng-prod
/ee/app/workers/clear_shared_runners_minutes_worker.rb @gitlab-org/maintainers/cicd-verify
/ee/lib/**/ci/ @gitlab-org/maintainers/cicd-verify
/ee/lib/ee/api/entities/merge_train.rb @gitlab-org/maintainers/cicd-verify
/**/javascripts/jobs/ @pburdette @jivanvl
/**/javascripts/pipelines/ @pburdette @f_caplette @jivanvl @mfluharty @bsandlin @mgandres
/app/assets/javascripts/pipeline_new/ @pburdette @f_caplette @jivanvl @mfluharty @bsandlin @mgandres
/app/assets/javascripts/ci_lint/ @f_caplette @bsandlin @mgandres
/app/assets/javascripts/ci_variable_list/ @pburdette @f_caplette @jivanvl @mfluharty @bsandlin @mgandres
/app/assets/javascripts/pipeline_schedules/ @pburdette @jivanvl
/app/assets/javascripts/pipeline_editor/ @f_caplette @bsandlin @mgandres
/ee/app/assets/javascripts/ci_minutes_usage/ @pburdette @jivanvl
/ee/app/assets/javascripts/usage_quotas/ci_minutes_usage/ @pburdette @jivanvl
/ee/app/assets/javascripts/usage_quotas/pipelines/ @pburdette @jivanvl
/ee/app/assets/javascripts/reports/ @mfluharty
/**/javascripts/jobs/ @gitlab-org/ci-cd/verify/frontend
/**/javascripts/pipelines/ @gitlab-org/ci-cd/verify/frontend
/app/assets/javascripts/pipeline_new/ @gitlab-org/ci-cd/verify/frontend
/app/assets/javascripts/ci_lint/ @gitlab-org/ci-cd/verify/frontend
/app/assets/javascripts/ci_variable_list/ @gitlab-org/ci-cd/verify/frontend
/app/assets/javascripts/pipeline_schedules/ @gitlab-org/ci-cd/verify/frontend
/app/assets/javascripts/pipeline_editor/ @gitlab-org/ci-cd/verify/frontend
/app/assets/javascripts/runner/ @gitlab-org/ci-cd/verify/frontend
/ee/app/assets/javascripts/ci_minutes_usage/ @gitlab-org/ci-cd/verify/frontend
/ee/app/assets/javascripts/usage_quotas/ci_minutes_usage/ @gitlab-org/ci-cd/verify/frontend
/ee/app/assets/javascripts/usage_quotas/pipelines/ @gitlab-org/ci-cd/verify/frontend
/ee/app/assets/javascripts/reports/ @gitlab-org/ci-cd/verify/frontend
^[Templates]
/lib/gitlab/ci/templates/ @gitlab-org/maintainers/cicd-templates

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GITALY_SERVER_VERSION
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@ -1 +1 @@
a3a94460be05799fdb5f9b4d1dab7832fe556bcd
988417a6808a9096745326ac1530f5c621b7fce1

3
doc/administration/cicd.md
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@ -69,7 +69,8 @@ can choose a custom limit. For example, to set the limit to `100`:
Plan.default.actual_limits.update!(ci_needs_size_limit: 100)
```
To disable directed acyclic graphs (DAG), set the limit to `0`.
To disable directed acyclic graphs (DAG), set the limit to `0`. Pipelines with jobs
configured to use `needs` then return the error `job can only need 0 others`.
## Change maximum scheduled pipeline frequency

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doc/administration/instance_limits.md
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@ -289,6 +289,29 @@ For GitLab.com, see the [webhook limits for GitLab.com](../user/gitlab_com/index
The maximum webhook payload size is 25 MB.
### Webhook timeout
The number of seconds GitLab waits for an HTTP response after sending a webhook.
To change the webhook timeout value:
1. Edit `/etc/gitlab/gitlab.rb`:
```ruby
gitlab_rails['webhook_timeout'] = 60
```
1. Save the file.
1. Reconfigure and restart GitLab for the changes to
take effect:
```shell
gitlab-ctl reconfigure
gitlab-ctl restart
```
See also [webhook limits for GitLab.com](../user/gitlab_com/index.md#other-limits).
### Recursive webhooks
> [Introduced](https://gitlab.com/gitlab-org/gitlab/-/issues/329743) in GitLab 14.8.

24
doc/administration/raketasks/uploads/migrate.md
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@ -166,24 +166,22 @@ GitLab provides a wrapper Rake task that migrates all uploaded files (for exampl
attachments, and favicon) to local storage in one step. The wrapper task invokes individual Rake
tasks to migrate files falling under each of these categories one by one.
For details on these Rake tasks, refer to [Individual Rake tasks](#individual-rake-tasks),
keeping in mind the task name in this case is `gitlab:uploads:migrate_to_local`.
For details on these Rake tasks, refer to [Individual Rake tasks](#individual-rake-tasks).
Keep in mind the task name in this case is `gitlab:uploads:migrate_to_local`.
To migrate uploads from object storage to local storage:
To migrate uploads from object storage to local storage, run the following Rake task:
1. Run the Rake task:
**Omnibus GitLab installation**
**Omnibus Installation**
```shell
gitlab-rake "gitlab:uploads:migrate_to_local:all"
```
```shell
gitlab-rake "gitlab:uploads:migrate_to_local:all"
```
**Source installation**
**Source Installation**
```shell
sudo RAILS_ENV=production -u git -H bundle exec rake gitlab:uploads:migrate_to_local:all
```
```shell
sudo RAILS_ENV=production -u git -H bundle exec rake gitlab:uploads:migrate_to_local:all
```
After running the Rake task, you can disable object storage by undoing the changes described
in the instructions to [configure object storage](../../uploads.md#using-object-storage).

51
doc/administration/reference_architectures/10k_users.md
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@ -19,30 +19,30 @@ full list of reference architectures, see
> - **[Latest Results](https://gitlab.com/gitlab-org/quality/performance/-/wikis/Benchmarks/Latest/10k)**
> - **Unsure which Reference Architecture to use?** [Go to this guide for more info](index.md#deciding-which-architecture-to-use).
| Service | Nodes | Configuration | GCP | AWS | Azure |
|------------------------------------------|-------|-------------------------|------------------|----------------|-----------|
| External load balancing node<sup>3</sup> | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Consul<sup>1</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| PostgreSQL<sup>1</sup> | 3 | 8 vCPU, 30 GB memory | `n1-standard-8` | `m5.2xlarge` | `D8s v3` |
| PgBouncer<sup>1</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Internal load balancing node<sup>3</sup> | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Redis/Sentinel - Cache<sup>2</sup> | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| Redis/Sentinel - Persistent<sup>2</sup> | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| Gitaly<sup>5</sup> | 3 | 16 vCPU, 60 GB memory | `n1-standard-16` | `m5.4xlarge` | `D16s v3` |
| Praefect<sup>5</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Praefect PostgreSQL<sup>1</sup> | 1+ | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Sidekiq | 4 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| GitLab Rails | 3 | 32 vCPU, 28.8 GB memory | `n1-highcpu-32` | `c5.9xlarge` | `F32s v2` |
| Monitoring node | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
| Object storage<sup>4</sup> | - | - | - | - | - |
| NFS server (non-Gitaly) | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
| Service | Nodes | Configuration | GCP | AWS |
|------------------------------------------|-------|-------------------------|------------------|----------------|
| External load balancing node<sup>3</sup> | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| Consul<sup>1</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| PostgreSQL<sup>1</sup> | 3 | 8 vCPU, 30 GB memory | `n1-standard-8` | `m5.2xlarge` |
| PgBouncer<sup>1</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| Internal load balancing node<sup>3</sup> | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| Redis/Sentinel - Cache<sup>2</sup> | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` |
| Redis/Sentinel - Persistent<sup>2</sup> | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` |
| Gitaly<sup>5</sup> | 3 | 16 vCPU, 60 GB memory | `n1-standard-16` | `m5.4xlarge` |
| Praefect<sup>5</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| Praefect PostgreSQL<sup>1</sup> | 1+ | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| Sidekiq | 4 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` |
| GitLab Rails | 3 | 32 vCPU, 28.8 GB memory | `n1-highcpu-32` | `c5.9xlarge` |
| Monitoring node | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` |
| Object storage<sup>4</sup> | - | - | - | - |
| NFS server (non-Gitaly) | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` |
<!-- Disable ordered list rule https://github.com/DavidAnson/markdownlint/blob/main/doc/Rules.md#md029---ordered-list-item-prefix -->
<!-- markdownlint-disable MD029 -->
1. Can be optionally run on reputable third-party external PaaS PostgreSQL solutions. See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
- [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work.
- [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB clusters](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/multi-az-db-clusters-concepts.html) have not been tested and are not recommended. Both solutions are specifically not expected to work with GitLab Geo.
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440), and [Azure Database for PostgreSQL](https://azure.microsoft.com/en-gb/services/postgresql/) is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61).
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440).
- Consul is primarily used for Omnibus PostgreSQL high availability so can be ignored when using a PostgreSQL PaaS setup. However, Consul is also used optionally by Prometheus for Omnibus auto host discovery.
2. Can be optionally run on reputable third-party external PaaS Redis solutions. See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
- [Google Memorystore](https://cloud.google.com/memorystore) and [Amazon ElastiCache](https://aws.amazon.com/elasticache/) are known to work.
@ -158,13 +158,9 @@ Any "burstable" instance types are not recommended due to inconsistent performan
### Supported infrastructure
As a general guidance, GitLab should run on most infrastructure such as reputable Cloud Providers (AWS, GCP, Azure) and their services, or self managed (ESXi) that meet both the specs detailed above, as well as any requirements in this section. However, this does not constitute a guarantee for every potential permutation.
As a general guidance, GitLab should run on most infrastructure such as reputable Cloud Providers (AWS, GCP) and their services, or self managed (ESXi) that meet both the specs detailed above, as well as any requirements in this section. However, this does not constitute a guarantee for every potential permutation.
Be aware of the following specific call outs:
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is incompatible. See [14.4.0](../../update/index.md#1440) for more details.
- [Azure Database for PostgreSQL](https://learn.microsoft.com/en-us/azure/postgresql/#:~:text=Azure%20Database%20for%20PostgreSQL%20is,high%20availability%2C%20and%20dynamic%20scalability.) is [not recommended](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61) due to known performance issues or missing features.
- [Azure Blob Storage](https://learn.microsoft.com/en-us/azure/storage/blobs/) is recommended to be configured with [Premium accounts](https://learn.microsoft.com/en-us/azure/storage/blobs/storage-blob-block-blob-premium) to ensure consistent performance.
See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
### Praefect PostgreSQL
@ -513,7 +509,7 @@ cluster to be used with GitLab.
If you're hosting GitLab on a cloud provider, you can optionally use a
managed service for PostgreSQL.
A reputable provider or solution should be used for this. [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work. However, Amazon Aurora is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440), and Azure Database for PostgreSQL is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61).
A reputable provider or solution should be used for this. [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work. However, Amazon Aurora is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440). See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
If you use a cloud-managed service, or provide your own PostgreSQL:
@ -1283,7 +1279,7 @@ you are using Geo, where separate database instances are required for handling r
In this setup, the specs of the main database setup shouldn't need to be changed as the impact should be
minimal.
A reputable provider or solution should be used for this. [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work. However, Amazon Aurora is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440), and Azure Database for PostgreSQL is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61).
A reputable provider or solution should be used for this. [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work. However, Amazon Aurora is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440). See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
Examples of the above could include [Google's Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) or [Amazon RDS](https://aws.amazon.com/rds/).
@ -2198,7 +2194,6 @@ GitLab has been tested on a number of object storage providers:
- [Digital Ocean Spaces](https://www.digitalocean.com/products/spaces)
- [Oracle Cloud Infrastructure](https://docs.cloud.oracle.com/en-us/iaas/Content/Object/Tasks/s3compatibleapi.htm)
- [OpenStack Swift (S3 compatibility mode)](https://docs.openstack.org/swift/latest/s3_compat.html)
- [Azure Blob storage](https://learn.microsoft.com/en-us/azure/storage/blobs/storage-blobs-introduction)
- MinIO. We have [a guide to deploying this](https://docs.gitlab.com/charts/advanced/external-object-storage/minio.html) within our Helm Chart documentation.
There are two ways of specifying object storage configuration in GitLab:
@ -2331,7 +2326,7 @@ services where applicable):
1. Can be optionally run on reputable third-party external PaaS PostgreSQL solutions. See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
- [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work.
- [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB clusters](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/multi-az-db-clusters-concepts.html) have not been tested and are not recommended. Both solutions are specifically not expected to work with GitLab Geo.
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440), and [Azure Database for PostgreSQL](https://azure.microsoft.com/en-gb/services/postgresql/) is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61).
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440).
- Consul is primarily used for Omnibus PostgreSQL high availability so can be ignored when using a PostgreSQL PaaS setup. However, Consul is also used optionally by Prometheus for Omnibus auto host discovery.
2. Can be optionally run on reputable third-party external PaaS Redis solutions. See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
- [Google Memorystore](https://cloud.google.com/memorystore) and [Amazon ElastiCache](https://aws.amazon.com/elasticache/) are known to work.

6
doc/administration/reference_architectures/1k_users.md
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@ -84,11 +84,7 @@ Any "burstable" instance types are not recommended due to inconsistent performan
As a general guidance, GitLab should run on most infrastructure such as reputable Cloud Providers (AWS, GCP, Azure) and their services, or self managed (ESXi) that meet both the specs detailed above, as well as any requirements in this section. However, this does not constitute a guarantee for every potential permutation.
Be aware of the following specific call outs:
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is incompatible. See [14.4.0](../../update/index.md#1440) for more details.
- [Azure Database for PostgreSQL](https://learn.microsoft.com/en-us/azure/postgresql/#:~:text=Azure%20Database%20for%20PostgreSQL%20is,high%20availability%2C%20and%20dynamic%20scalability.) is [not recommended](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61) due to known performance issues or missing features.
- [Azure Blob Storage](https://learn.microsoft.com/en-us/azure/storage/blobs/) is recommended to be configured with [Premium accounts](https://learn.microsoft.com/en-us/azure/storage/blobs/storage-blob-block-blob-premium) to ensure consistent performance.
See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
### Swap

51
doc/administration/reference_architectures/25k_users.md
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@ -19,30 +19,30 @@ full list of reference architectures, see
> - **[Latest Results](https://gitlab.com/gitlab-org/quality/performance/-/wikis/Benchmarks/Latest/25k)**
> - **Unsure which Reference Architecture to use?** [Go to this guide for more info](index.md#deciding-which-architecture-to-use).
| Service | Nodes | Configuration | GCP | AWS | Azure |
|------------------------------------------|-------|-------------------------|------------------|--------------|-----------|
| External load balancing node<sup>3</sup> | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
| Consul<sup>1</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| PostgreSQL<sup>1</sup> | 3 | 16 vCPU, 60 GB memory | `n1-standard-16` | `m5.4xlarge` | `D16s v3` |
| PgBouncer<sup>1</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Internal load balancing node<sup>3</sup> | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
| Redis/Sentinel - Cache<sup>2</sup> | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| Redis/Sentinel - Persistent<sup>2</sup> | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| Gitaly<sup>5</sup> | 3 | 32 vCPU, 120 GB memory | `n1-standard-32` | `m5.8xlarge` | `D32s v3` |
| Praefect<sup>5</sup> | 3 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
| Praefect PostgreSQL<sup>1</sup> | 1+ | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Sidekiq | 4 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| GitLab Rails | 5 | 32 vCPU, 28.8 GB memory | `n1-highcpu-32` | `c5.9xlarge` | `F32s v2` |
| Monitoring node | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
| Object storage<sup>4</sup> | - | - | - | - | - |
| NFS server (non-Gitaly) | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
| Service | Nodes | Configuration | GCP | AWS |
|------------------------------------------|-------|-------------------------|------------------|--------------|
| External load balancing node<sup>3</sup> | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` |
| Consul<sup>1</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| PostgreSQL<sup>1</sup> | 3 | 16 vCPU, 60 GB memory | `n1-standard-16` | `m5.4xlarge` |
| PgBouncer<sup>1</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| Internal load balancing node<sup>3</sup> | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` |
| Redis/Sentinel - Cache<sup>2</sup> | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` |
| Redis/Sentinel - Persistent<sup>2</sup> | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` |
| Gitaly<sup>5</sup> | 3 | 32 vCPU, 120 GB memory | `n1-standard-32` | `m5.8xlarge` |
| Praefect<sup>5</sup> | 3 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` |
| Praefect PostgreSQL<sup>1</sup> | 1+ | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| Sidekiq | 4 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` |
| GitLab Rails | 5 | 32 vCPU, 28.8 GB memory | `n1-highcpu-32` | `c5.9xlarge` |
| Monitoring node | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` |
| Object storage<sup>4</sup> | - | - | - | - |
| NFS server (non-Gitaly) | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` |
<!-- Disable ordered list rule https://github.com/DavidAnson/markdownlint/blob/main/doc/Rules.md#md029---ordered-list-item-prefix -->
<!-- markdownlint-disable MD029 -->
1. Can be optionally run on reputable third-party external PaaS PostgreSQL solutions. See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
- [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work.
- [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB clusters](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/multi-az-db-clusters-concepts.html) have not been tested and are not recommended. Both solutions are specifically not expected to work with GitLab Geo.
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440), and [Azure Database for PostgreSQL](https://azure.microsoft.com/en-gb/services/postgresql/) is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61).
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440).
- Consul is primarily used for Omnibus PostgreSQL high availability so can be ignored when using a PostgreSQL PaaS setup. However, Consul is also used optionally by Prometheus for Omnibus auto host discovery.
2. Can be optionally run on reputable third-party external PaaS Redis solutions. See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
- [Google Memorystore](https://cloud.google.com/memorystore) and [Amazon ElastiCache](https://aws.amazon.com/elasticache/) are known to work.
@ -158,13 +158,9 @@ Any "burstable" instance types are not recommended due to inconsistent performan
### Supported infrastructure
As a general guidance, GitLab should run on most infrastructure such as reputable Cloud Providers (AWS, GCP, Azure) and their services, or self managed (ESXi) that meet both the specs detailed above, as well as any requirements in this section. However, this does not constitute a guarantee for every potential permutation.
As a general guidance, GitLab should run on most infrastructure such as reputable Cloud Providers (AWS, GCP) and their services, or self managed (ESXi) that meet both the specs detailed above, as well as any requirements in this section. However, this does not constitute a guarantee for every potential permutation.
Be aware of the following specific call outs:
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is incompatible. See [14.4.0](../../update/index.md#1440) for more details.
- [Azure Database for PostgreSQL](https://learn.microsoft.com/en-us/azure/postgresql/#:~:text=Azure%20Database%20for%20PostgreSQL%20is,high%20availability%2C%20and%20dynamic%20scalability.) is [not recommended](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61) due to known performance issues or missing features.
- [Azure Blob Storage](https://learn.microsoft.com/en-us/azure/storage/blobs/) is recommended to be configured with [Premium accounts](https://learn.microsoft.com/en-us/azure/storage/blobs/storage-blob-block-blob-premium) to ensure consistent performance.
See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
### Praefect PostgreSQL
@ -515,7 +511,7 @@ cluster to be used with GitLab.
If you're hosting GitLab on a cloud provider, you can optionally use a
managed service for PostgreSQL.
A reputable provider or solution should be used for this. [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work. However, Amazon Aurora is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440), and Azure Database for PostgreSQL is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61).
A reputable provider or solution should be used for this. [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work. However, Amazon Aurora is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440). See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
If you use a cloud-managed service, or provide your own PostgreSQL:
@ -1288,7 +1284,7 @@ you are using Geo, where separate database instances are required for handling r
In this setup, the specs of the main database setup shouldn't need to be changed as the impact should be
minimal.
A reputable provider or solution should be used for this. [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work. However, Amazon Aurora is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440), and Azure Database for PostgreSQL is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61).
A reputable provider or solution should be used for this. [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work. However, Amazon Aurora is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440). See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
Once the database is set up, follow the [post configuration](#praefect-postgresql-post-configuration).
@ -2201,7 +2197,6 @@ GitLab has been tested on a number of object storage providers:
- [Digital Ocean Spaces](https://www.digitalocean.com/products/spaces)
- [Oracle Cloud Infrastructure](https://docs.cloud.oracle.com/en-us/iaas/Content/Object/Tasks/s3compatibleapi.htm)
- [OpenStack Swift (S3 compatibility mode)](https://docs.openstack.org/swift/latest/s3_compat.html)
- [Azure Blob storage](https://learn.microsoft.com/en-us/azure/storage/blobs/storage-blobs-introduction)
- MinIO. We have [a guide to deploying this](https://docs.gitlab.com/charts/advanced/external-object-storage/minio.html) within our Helm Chart documentation.
There are two ways of specifying object storage configuration in GitLab:
@ -2334,7 +2329,7 @@ services where applicable):
1. Can be optionally run on reputable third-party external PaaS PostgreSQL solutions. See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
- [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work.
- [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB clusters](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/multi-az-db-clusters-concepts.html) have not been tested and are not recommended. Both solutions are specifically not expected to work with GitLab Geo.
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440), and [Azure Database for PostgreSQL](https://azure.microsoft.com/en-gb/services/postgresql/) is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61).
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440).
- Consul is primarily used for Omnibus PostgreSQL high availability so can be ignored when using a PostgreSQL PaaS setup. However, Consul is also used optionally by Prometheus for Omnibus auto host discovery.
2. Can be optionally run on reputable third-party external PaaS Redis solutions. See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
- [Google Memorystore](https://cloud.google.com/memorystore) and [Amazon ElastiCache](https://aws.amazon.com/elasticache/) are known to work.

8
doc/administration/reference_architectures/2k_users.md
View File

@ -96,11 +96,7 @@ Any "burstable" instance types are not recommended due to inconsistent performan
As a general guidance, GitLab should run on most infrastructure such as reputable Cloud Providers (AWS, GCP, Azure) and their services, or self managed (ESXi) that meet both the specs detailed above, as well as any requirements in this section. However, this does not constitute a guarantee for every potential permutation.
Be aware of the following specific call outs:
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is incompatible. See [14.4.0](../../update/index.md#1440) for more details.
- [Azure Database for PostgreSQL](https://learn.microsoft.com/en-us/azure/postgresql/#:~:text=Azure%20Database%20for%20PostgreSQL%20is,high%20availability%2C%20and%20dynamic%20scalability.) is [not recommended](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61) due to known performance issues or missing features.
- [Azure Blob Storage](https://learn.microsoft.com/en-us/azure/storage/blobs/) is recommended to be configured with [Premium accounts](https://learn.microsoft.com/en-us/azure/storage/blobs/storage-blob-block-blob-premium) to ensure consistent performance.
See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
## Setup components
@ -256,7 +252,7 @@ to be used with GitLab.
If you're hosting GitLab on a cloud provider, you can optionally use a
managed service for PostgreSQL.
A reputable provider or solution should be used for this. [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work. However, Amazon Aurora is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440), and Azure Database for PostgreSQL is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61).
A reputable provider or solution should be used for this. [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work. However, Amazon Aurora is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440), and Azure Database for PostgreSQL is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61). See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
If you use a cloud-managed service, or provide your own PostgreSQL:

49
doc/administration/reference_architectures/3k_users.md
View File

@ -29,29 +29,29 @@ For a full list of reference architectures, see
> - **[Latest Results](https://gitlab.com/gitlab-org/quality/performance/-/wikis/Benchmarks/Latest/3k)**
> - **Unsure which Reference Architecture to use?** [Go to this guide for more info](index.md#deciding-which-architecture-to-use).
| Service | Nodes | Configuration | GCP | AWS | Azure |
|-------------------------------------------|-------|-----------------------|-----------------|--------------|----------|
| External load balancing node<sup>3</sup> | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Redis<sup>2</sup> | 3 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | `m5.large` | `D2s v3` |
| Consul<sup>1</sup> + Sentinel<sup>2</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| PostgreSQL<sup>1</sup> | 3 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | `m5.large` | `D2s v3` |
| PgBouncer<sup>1</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Internal load balancing node<sup>3</sup> | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Gitaly<sup>5</sup> | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| Praefect<sup>5</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Praefect PostgreSQL<sup>1</sup> | 1+ | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Sidekiq | 4 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | `m5.large` | `D2s v3` |
| GitLab Rails | 3 | 8 vCPU, 7.2 GB memory | `n1-highcpu-8` | `c5.2xlarge` | `F8s v2` |
| Monitoring node | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Object storage<sup>4</sup> | - | - | - | - | - |
| NFS server (non-Gitaly) | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
| Service | Nodes | Configuration | GCP | AWS |
|-------------------------------------------|-------|-----------------------|-----------------|--------------|
| External load balancing node<sup>3</sup> | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| Redis<sup>2</sup> | 3 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | `m5.large` |
| Consul<sup>1</sup> + Sentinel<sup>2</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| PostgreSQL<sup>1</sup> | 3 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | `m5.large` |
| PgBouncer<sup>1</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| Internal load balancing node<sup>3</sup> | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| Gitaly<sup>5</sup> | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` |
| Praefect<sup>5</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| Praefect PostgreSQL<sup>1</sup> | 1+ | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| Sidekiq | 4 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | `m5.large` |
| GitLab Rails | 3 | 8 vCPU, 7.2 GB memory | `n1-highcpu-8` | `c5.2xlarge` |
| Monitoring node | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| Object storage<sup>4</sup> | - | - | - | - |
| NFS server (non-Gitaly) | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` |
<!-- Disable ordered list rule https://github.com/DavidAnson/markdownlint/blob/main/doc/Rules.md#md029---ordered-list-item-prefix -->
<!-- markdownlint-disable MD029 -->
1. Can be optionally run on reputable third-party external PaaS PostgreSQL solutions. See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
- [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work.
- [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB clusters](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/multi-az-db-clusters-concepts.html) have not been tested and are not recommended. Both solutions are specifically not expected to work with GitLab Geo.
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440), and [Azure Database for PostgreSQL](https://azure.microsoft.com/en-gb/services/postgresql/) is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61).
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440).
- Consul is primarily used for Omnibus PostgreSQL high availability so can be ignored when using a PostgreSQL PaaS setup. However, Consul is also used optionally by Prometheus for Omnibus auto host discovery.
2. Can be optionally run on reputable third-party external PaaS Redis solutions. See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
- [Google Memorystore](https://cloud.google.com/memorystore) and [Amazon ElastiCache](https://aws.amazon.com/elasticache/) are known to work.
@ -164,13 +164,9 @@ Any "burstable" instance types are not recommended due to inconsistent performan
### Supported infrastructure
As a general guidance, GitLab should run on most infrastructure such as reputable Cloud Providers (AWS, GCP, Azure) and their services, or self managed (ESXi) that meet both the specs detailed above, as well as any requirements in this section. However, this does not constitute a guarantee for every potential permutation.
As a general guidance, GitLab should run on most infrastructure such as reputable Cloud Providers (AWS, GCP) and their services, or self managed (ESXi) that meet both the specs detailed above, as well as any requirements in this section. However, this does not constitute a guarantee for every potential permutation.
Be aware of the following specific call outs:
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is incompatible. See [14.4.0](../../update/index.md#1440) for more details.
- [Azure Database for PostgreSQL](https://learn.microsoft.com/en-us/azure/postgresql/#:~:text=Azure%20Database%20for%20PostgreSQL%20is,high%20availability%2C%20and%20dynamic%20scalability.) is [not recommended](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61) due to known performance issues or missing features.
- [Azure Blob Storage](https://learn.microsoft.com/en-us/azure/storage/blobs/) is recommended to be configured with [Premium accounts](https://learn.microsoft.com/en-us/azure/storage/blobs/storage-blob-block-blob-premium) to ensure consistent performance.
See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
### Praefect PostgreSQL
@ -797,7 +793,7 @@ cluster to be used with GitLab.
If you're hosting GitLab on a cloud provider, you can optionally use a
managed service for PostgreSQL.
A reputable provider or solution should be used for this. [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work. However, Amazon Aurora is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440), and Azure Database for PostgreSQL is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61).
A reputable provider or solution should be used for this. [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work. However, Amazon Aurora is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440). See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
If you use a cloud-managed service, or provide your own PostgreSQL:
@ -1228,7 +1224,7 @@ you are using Geo, where separate database instances are required for handling r
In this setup, the specs of the main database setup shouldn't need to be changed as the impact should be
minimal.
A reputable provider or solution should be used for this. [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work. However, Amazon Aurora is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440), and Azure Database for PostgreSQL is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61).
A reputable provider or solution should be used for this. [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work. However, Amazon Aurora is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440). See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
Once the database is set up, follow the [post configuration](#praefect-postgresql-post-configuration).
@ -2139,7 +2135,6 @@ GitLab has been tested on a number of object storage providers:
- [Digital Ocean Spaces](https://www.digitalocean.com/products/spaces)
- [Oracle Cloud Infrastructure](https://docs.cloud.oracle.com/en-us/iaas/Content/Object/Tasks/s3compatibleapi.htm)
- [OpenStack Swift (S3 compatibility mode)](https://docs.openstack.org/swift/latest/s3_compat.html)
- [Azure Blob storage](https://learn.microsoft.com/en-us/azure/storage/blobs/storage-blobs-introduction)
- MinIO. We have [a guide to deploying this](https://docs.gitlab.com/charts/advanced/external-object-storage/minio.html) within our Helm Chart documentation.
There are two ways of specifying object storage configuration in GitLab:
@ -2296,7 +2291,7 @@ services where applicable):
1. Can be optionally run on reputable third-party external PaaS PostgreSQL solutions. See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
- [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work.
- [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB clusters](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/multi-az-db-clusters-concepts.html) have not been tested and are not recommended. Both solutions are specifically not expected to work with GitLab Geo.
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440), and [Azure Database for PostgreSQL](https://azure.microsoft.com/en-gb/services/postgresql/) is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61).
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440).
- Consul is primarily used for Omnibus PostgreSQL high availability so can be ignored when using a PostgreSQL PaaS setup. However, Consul is also used optionally by Prometheus for Omnibus auto host discovery.
2. Can be optionally run on reputable third-party external PaaS Redis solutions. See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
- [Google Memorystore](https://cloud.google.com/memorystore) and [Amazon ElastiCache](https://aws.amazon.com/elasticache/) are known to work.

51
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View File

@ -19,30 +19,30 @@ full list of reference architectures, see
> - **[Latest Results](https://gitlab.com/gitlab-org/quality/performance/-/wikis/Benchmarks/Latest/50k)**
> - **Unsure which Reference Architecture to use?** [Go to this guide for more info](index.md#deciding-which-architecture-to-use).
| Service | Nodes | Configuration | GCP | AWS | Azure |
|------------------------------------------|-------|-------------------------|------------------|---------------|-----------|
| External load balancing node<sup>3</sup> | 1 | 8 vCPU, 7.2 GB memory | `n1-highcpu-8` | `c5.2xlarge` | `F8s v2` |
| Consul<sup>1</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| PostgreSQL<sup>1</sup> | 3 | 32 vCPU, 120 GB memory | `n1-standard-32` | `m5.8xlarge` | `D32s v3` |
| PgBouncer<sup>1</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Internal load balancing node<sup>3</sup> | 1 | 8 vCPU, 7.2 GB memory | `n1-highcpu-8` | `c5.2xlarge` | `F8s v2` |
| Redis/Sentinel - Cache<sup>2</sup> | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| Redis/Sentinel - Persistent<sup>2</sup> | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| Gitaly<sup>5</sup> | 3 | 64 vCPU, 240 GB memory | `n1-standard-64` | `m5.16xlarge` | `D64s v3` |
| Praefect<sup>5</sup> | 3 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
| Praefect PostgreSQL<sup>1</sup> | 1+ | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Sidekiq | 4 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| GitLab Rails | 12 | 32 vCPU, 28.8 GB memory | `n1-highcpu-32` | `c5.9xlarge` | `F32s v2` |
| Monitoring node | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
| Object storage<sup>4</sup> | - | - | - | - | - |
| NFS server (non-Gitaly) | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
| Service | Nodes | Configuration | GCP | AWS |
|------------------------------------------|-------|-------------------------|------------------|---------------|
| External load balancing node<sup>3</sup> | 1 | 8 vCPU, 7.2 GB memory | `n1-highcpu-8` | `c5.2xlarge` |
| Consul<sup>1</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| PostgreSQL<sup>1</sup> | 3 | 32 vCPU, 120 GB memory | `n1-standard-32` | `m5.8xlarge` |
| PgBouncer<sup>1</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| Internal load balancing node<sup>3</sup> | 1 | 8 vCPU, 7.2 GB memory | `n1-highcpu-8` | `c5.2xlarge` |
| Redis/Sentinel - Cache<sup>2</sup> | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` |
| Redis/Sentinel - Persistent<sup>2</sup> | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` |
| Gitaly<sup>5</sup> | 3 | 64 vCPU, 240 GB memory | `n1-standard-64` | `m5.16xlarge` |
| Praefect<sup>5</sup> | 3 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` |
| Praefect PostgreSQL<sup>1</sup> | 1+ | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| Sidekiq | 4 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` |
| GitLab Rails | 12 | 32 vCPU, 28.8 GB memory | `n1-highcpu-32` | `c5.9xlarge` |
| Monitoring node | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` |
| Object storage<sup>4</sup> | - | - | - | - |
| NFS server (non-Gitaly) | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` |
<!-- Disable ordered list rule https://github.com/DavidAnson/markdownlint/blob/main/doc/Rules.md#md029---ordered-list-item-prefix -->
<!-- markdownlint-disable MD029 -->
1. Can be optionally run on reputable third-party external PaaS PostgreSQL solutions. See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
- [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work.
- [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB clusters](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/multi-az-db-clusters-concepts.html) have not been tested and are not recommended. Both solutions are specifically not expected to work with GitLab Geo.
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440), and [Azure Database for PostgreSQL](https://azure.microsoft.com/en-gb/services/postgresql/) is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61).
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440).
- Consul is primarily used for Omnibus PostgreSQL high availability so can be ignored when using a PostgreSQL PaaS setup. However, Consul is also used optionally by Prometheus for Omnibus auto host discovery.
2. Can be optionally run on reputable third-party external PaaS Redis solutions. See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
- [Google Memorystore](https://cloud.google.com/memorystore) and [Amazon ElastiCache](https://aws.amazon.com/elasticache/) are known to work.
@ -158,13 +158,9 @@ Any "burstable" instance types are not recommended due to inconsistent performan
### Supported infrastructure
As a general guidance, GitLab should run on most infrastructure such as reputable Cloud Providers (AWS, GCP, Azure) and their services, or self managed (ESXi) that meet both the specs detailed above, as well as any requirements in this section. However, this does not constitute a guarantee for every potential permutation.
As a general guidance, GitLab should run on most infrastructure such as reputable Cloud Providers (AWS, GCP) and their services, or self managed (ESXi) that meet both the specs detailed above, as well as any requirements in this section. However, this does not constitute a guarantee for every potential permutation.
Be aware of the following specific call outs:
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is incompatible. See [14.4.0](../../update/index.md#1440) for more details.
- [Azure Database for PostgreSQL](https://learn.microsoft.com/en-us/azure/postgresql/#:~:text=Azure%20Database%20for%20PostgreSQL%20is,high%20availability%2C%20and%20dynamic%20scalability.) is [not recommended](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61) due to known performance issues or missing features.
- [Azure Blob Storage](https://learn.microsoft.com/en-us/azure/storage/blobs/) is recommended to be configured with [Premium accounts](https://learn.microsoft.com/en-us/azure/storage/blobs/storage-blob-block-blob-premium) to ensure consistent performance.
See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
### Praefect PostgreSQL
@ -522,7 +518,7 @@ cluster to be used with GitLab.
If you're hosting GitLab on a cloud provider, you can optionally use a
managed service for PostgreSQL.
A reputable provider or solution should be used for this. [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work. However, Amazon Aurora is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440), and Azure Database for PostgreSQL is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61).
A reputable provider or solution should be used for this. [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work. However, Amazon Aurora is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440). See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
If you use a cloud-managed service, or provide your own PostgreSQL:
@ -1296,7 +1292,7 @@ you are using Geo, where separate database instances are required for handling r
In this setup, the specs of the main database setup shouldn't need to be changed as the impact should be
minimal.
A reputable provider or solution should be used for this. [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work. However, Amazon Aurora is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440), and Azure Database for PostgreSQL is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61).
A reputable provider or solution should be used for this. [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work. However, Amazon Aurora is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440). See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
Examples of the above could include [Google's Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) or [Amazon RDS](https://aws.amazon.com/rds/).
@ -2218,7 +2214,6 @@ GitLab has been tested on a number of object storage providers:
- [Digital Ocean Spaces](https://www.digitalocean.com/products/spaces)
- [Oracle Cloud Infrastructure](https://docs.cloud.oracle.com/en-us/iaas/Content/Object/Tasks/s3compatibleapi.htm)
- [OpenStack Swift (S3 compatibility mode)](https://docs.openstack.org/swift/latest/s3_compat.html)
- [Azure Blob storage](https://learn.microsoft.com/en-us/azure/storage/blobs/storage-blobs-introduction)
- MinIO. We have [a guide to deploying this](https://docs.gitlab.com/charts/advanced/external-object-storage/minio.html) within our Helm Chart documentation.
There are two ways of specifying object storage configuration in GitLab:
@ -2351,7 +2346,7 @@ services where applicable):
1. Can be optionally run on reputable third-party external PaaS PostgreSQL solutions. See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
- [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work.
- [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB clusters](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/multi-az-db-clusters-concepts.html) have not been tested and are not recommended. Both solutions are specifically not expected to work with GitLab Geo.
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440), and [Azure Database for PostgreSQL](https://azure.microsoft.com/en-gb/services/postgresql/) is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61).
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440).
- Consul is primarily used for Omnibus PostgreSQL high availability so can be ignored when using a PostgreSQL PaaS setup. However, Consul is also used optionally by Prometheus for Omnibus auto host discovery.
2. Can be optionally run on reputable third-party external PaaS Redis solutions. See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
- [Google Memorystore](https://cloud.google.com/memorystore) and [Amazon ElastiCache](https://aws.amazon.com/elasticache/) are known to work.

49
doc/administration/reference_architectures/5k_users.md
View File

@ -26,29 +26,29 @@ costly-to-operate environment by using the
> - **[Latest Results](https://gitlab.com/gitlab-org/quality/performance/-/wikis/Benchmarks/Latest/5k)**
> - **Unsure which Reference Architecture to use?** [Go to this guide for more info](index.md#deciding-which-architecture-to-use).
| Service | Nodes | Configuration | GCP | AWS | Azure |
|-------------------------------------------|-------|-------------------------|-----------------|--------------|----------|
| External load balancing node<sup>3</sup> | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Redis<sup>2</sup> | 3 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | `m5.large` | `D2s v3` |
| Consul<sup>1</sup> + Sentinel<sup>2</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| PostgreSQL<sup>1</sup> | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| PgBouncer<sup>1</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Internal load balancing node<sup>3</sup> | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Gitaly<sup>5</sup> | 3 | 8 vCPU, 30 GB memory | `n1-standard-8` | `m5.2xlarge` | `D8s v3` |
| Praefect<sup>5</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Praefect PostgreSQL<sup>1</sup> | 1+ | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Sidekiq | 4 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | `m5.large` | `D2s v3` |
| GitLab Rails | 3 | 16 vCPU, 14.4 GB memory | `n1-highcpu-16` | `c5.4xlarge` | `F16s v2`|
| Monitoring node | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| Object storage<sup>4</sup> | - | - | - | - | - |
| NFS server (non-Gitaly) | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
| Service | Nodes | Configuration | GCP | AWS |
|-------------------------------------------|-------|-------------------------|-----------------|--------------|
| External load balancing node<sup>3</sup> | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| Redis<sup>2</sup> | 3 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | `m5.large` |
| Consul<sup>1</sup> + Sentinel<sup>2</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| PostgreSQL<sup>1</sup> | 3 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` |
| PgBouncer<sup>1</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| Internal load balancing node<sup>3</sup> | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| Gitaly<sup>5</sup> | 3 | 8 vCPU, 30 GB memory | `n1-standard-8` | `m5.2xlarge` |
| Praefect<sup>5</sup> | 3 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| Praefect PostgreSQL<sup>1</sup> | 1+ | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| Sidekiq | 4 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | `m5.large` |
| GitLab Rails | 3 | 16 vCPU, 14.4 GB memory | `n1-highcpu-16` | `c5.4xlarge` |
| Monitoring node | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` |
| Object storage<sup>4</sup> | - | - | - | - |
| NFS server (non-Gitaly) | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` |
<!-- Disable ordered list rule https://github.com/DavidAnson/markdownlint/blob/main/doc/Rules.md#md029---ordered-list-item-prefix -->
<!-- markdownlint-disable MD029 -->
1. Can be optionally run on reputable third-party external PaaS PostgreSQL solutions. See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
- [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work.
- [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB clusters](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/multi-az-db-clusters-concepts.html) have not been tested and are not recommended. Both solutions are specifically not expected to work with GitLab Geo.
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440), and [Azure Database for PostgreSQL](https://azure.microsoft.com/en-gb/services/postgresql/) is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61).
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440).
- Consul is primarily used for Omnibus PostgreSQL high availability so can be ignored when using a PostgreSQL PaaS setup. However, Consul is also used optionally by Prometheus for Omnibus auto host discovery.
2. Can be optionally run on reputable third-party external PaaS Redis solutions. See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
- [Google Memorystore](https://cloud.google.com/memorystore) and [Amazon ElastiCache](https://aws.amazon.com/elasticache/) are known to work.
@ -161,13 +161,9 @@ Any "burstable" instance types are not recommended due to inconsistent performan
### Supported infrastructure
As a general guidance, GitLab should run on most infrastructure such as reputable Cloud Providers (AWS, GCP, Azure) and their services, or self managed (ESXi) that meet both the specs detailed above, as well as any requirements in this section. However, this does not constitute a guarantee for every potential permutation.
As a general guidance, GitLab should run on most infrastructure such as reputable Cloud Providers (AWS, GCP) and their services, or self managed (ESXi) that meet both the specs detailed above, as well as any requirements in this section. However, this does not constitute a guarantee for every potential permutation.
Be aware of the following specific call outs:
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is incompatible. See [14.4.0](../../update/index.md#1440) for more details.
- [Azure Database for PostgreSQL](https://learn.microsoft.com/en-us/azure/postgresql/#:~:text=Azure%20Database%20for%20PostgreSQL%20is,high%20availability%2C%20and%20dynamic%20scalability.) is [not recommended](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61) due to known performance issues or missing features.
- [Azure Blob Storage](https://learn.microsoft.com/en-us/azure/storage/blobs/) is recommended to be configured with [Premium accounts](https://learn.microsoft.com/en-us/azure/storage/blobs/storage-blob-block-blob-premium) to ensure consistent performance.
See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
### Praefect PostgreSQL
@ -793,7 +789,7 @@ cluster to be used with GitLab.
If you're hosting GitLab on a cloud provider, you can optionally use a
managed service for PostgreSQL.
A reputable provider or solution should be used for this. [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work. However, Amazon Aurora is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440), and Azure Database for PostgreSQL is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61).
A reputable provider or solution should be used for this. [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work. However, Amazon Aurora is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440). See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
If you use a cloud-managed service, or provide your own PostgreSQL:
@ -1225,7 +1221,7 @@ you are using Geo, where separate database instances are required for handling r
In this setup, the specs of the main database setup shouldn't need to be changed as the impact should be
minimal.
A reputable provider or solution should be used for this. [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work. However, Amazon Aurora is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440), and Azure Database for PostgreSQL is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61).
A reputable provider or solution should be used for this. [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work. However, Amazon Aurora is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440). See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
Once the database is set up, follow the [post configuration](#praefect-postgresql-post-configuration).
@ -2137,7 +2133,6 @@ GitLab has been tested on a number of object storage providers:
- [Digital Ocean Spaces](https://www.digitalocean.com/products/spaces)
- [Oracle Cloud Infrastructure](https://docs.cloud.oracle.com/en-us/iaas/Content/Object/Tasks/s3compatibleapi.htm)
- [OpenStack Swift (S3 compatibility mode)](https://docs.openstack.org/swift/latest/s3_compat.html)
- [Azure Blob storage](https://learn.microsoft.com/en-us/azure/storage/blobs/storage-blobs-introduction)
- MinIO. We have [a guide to deploying this](https://docs.gitlab.com/charts/advanced/external-object-storage/minio.html) within our Helm Chart documentation.
There are two ways of specifying object storage configuration in GitLab:
@ -2269,7 +2264,7 @@ services where applicable):
1. Can be optionally run on reputable third-party external PaaS PostgreSQL solutions. See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
- [Google Cloud SQL](https://cloud.google.com/sql/docs/postgres/high-availability#normal) and [Amazon RDS](https://aws.amazon.com/rds/) are known to work.
- [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB clusters](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/multi-az-db-clusters-concepts.html) have not been tested and are not recommended. Both solutions are specifically not expected to work with GitLab Geo.
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440), and [Azure Database for PostgreSQL](https://azure.microsoft.com/en-gb/services/postgresql/) is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61).
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is **incompatible** with load balancing enabled by default in [14.4.0](../../update/index.md#1440).
- Consul is primarily used for Omnibus PostgreSQL high availability so can be ignored when using a PostgreSQL PaaS setup. However, Consul is also used optionally by Prometheus for Omnibus auto host discovery.
2. Can be optionally run on reputable third-party external PaaS Redis solutions. See [Recommended cloud providers and services](index.md#recommended-cloud-providers-and-services) for more information.
- [Google Memorystore](https://cloud.google.com/memorystore) and [Amazon ElastiCache](https://aws.amazon.com/elasticache/) are known to work.

53
doc/administration/reference_architectures/index.md
View File

@ -151,21 +151,23 @@ Through testing and real life usage, the Reference Architectures are validated a
<tbody>
<tr>
<td>Omnibus</td>
<td>✅</td>
<td>✅</td>
<td>✅</td>
<td>✅</td>
<td>🟢</td>
<td>🟢</td>
<td>🟡<sup>1</sup></td>
<td>🟢</td>
</tr>
<tr>
<td>Cloud Native Hybrid</td>
<td>✅</td>
<td>✅</td>
<td>🟢</td>
<td>🟢</td>
<td></td>
<td></td>
</tr>
</tbody>
</table>
1. We only recommend smaller setups (up to 2k) at this time on Azure due to performance issues at larger scales. See the [Recommendation Notes for Azure](#recommendation-notes-for-azure) section for more info.
Additionally, the following cloud provider services are validated and supported for use as part of the Reference Architectures:
<table>
@ -180,36 +182,47 @@ Additionally, the following cloud provider services are validated and supported
<tbody>
<tr>
<td>Object Storage</td>
<td>✅ &nbsp; <a href="https://cloud.google.com/storage" target="_blank">Cloud Storage</a></td>
<td>✅ &nbsp; <a href="https://aws.amazon.com/s3/" target="_blank">S3</a></td>
<td>✅ &nbsp; <a href="https://min.io/" target="_blank">MinIO</a></td>
<td>🟢 &nbsp; <a href="https://cloud.google.com/storage" target="_blank">Cloud Storage</a></td>
<td>🟢 &nbsp; <a href="https://aws.amazon.com/s3/" target="_blank">S3</a></td>
<td>🟢 &nbsp; <a href="https://min.io/" target="_blank">MinIO</a></td>
</tr>
<tr>
<td>Database</td>
<td>✅ &nbsp; <a href="https://cloud.google.com/sql" target="_blank" rel="noopener noreferrer">Cloud SQL</a></td>
<td>✅ &nbsp; <a href="https://aws.amazon.com/rds/" target="_blank" rel="noopener noreferrer">RDS</a></td>
<td>🟢 &nbsp; <a href="https://cloud.google.com/sql" target="_blank" rel="noopener noreferrer">Cloud SQL</a></td>
<td>🟢 &nbsp; <a href="https://aws.amazon.com/rds/" target="_blank" rel="noopener noreferrer">RDS</a></td>
<td></td>
</tr>
<tr>
<td>Redis</td>
<td></td>
<td>✅ &nbsp; <a href="https://aws.amazon.com/elasticache/" target="_blank" rel="noopener noreferrer">ElastiCache</a></td>
<td>🟢 &nbsp; <a href="https://aws.amazon.com/elasticache/" target="_blank" rel="noopener noreferrer">ElastiCache</a></td>
<td></td>
</tr>
</tbody>
</table>
The following specific cloud provider services have been found to have issues in terms of either functionality or performance. As such, they either have caveats that should be considered or are not recommended:
### Recommendation notes for the database services
When selecting a database service, it should run a standard, performant, and [supported version](../../install/requirements.md#postgresql-requirements) of PostgreSQL with the following features:
- Read Replicas for [Database Load Balancing](../postgresql/database_load_balancing.md).
- Cross Region replication for [GitLab Geo](../geo/index.md).
Several cloud provider services are known not to support the above or have been found to have other issues and aren't recommended:
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is incompatible and not supported. See [14.4.0](../../update/index.md#1440) for more details.
- [Azure Database for PostgreSQL Single Server](https://azure.microsoft.com/en-gb/services/postgresql/#overview) (Single / Flexible) is **strongly not recommended** for use due to notable performance / stability issues or missing functionality. See [Recommendation Notes for Azure](#recommendation-notes-for-azure) for more details.
- [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB clusters](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/multi-az-db-clusters-concepts.html) have not been tested and are not recommended. Both solutions are specifically not expected to work with GitLab Geo.
- [Amazon Aurora](https://aws.amazon.com/rds/aurora/) is incompatible. See [14.4.0](../../update/index.md#1440) for more details.
- [Azure Blob Storage](https://azure.microsoft.com/en-gb/services/storage/blobs/) has been found to have performance limits that can impact production use at certain times. For larger Reference Architectures the service may not be sufficient for production use and an alternative is recommended for use instead.
- [Azure Database for PostgreSQL Server](https://azure.microsoft.com/en-gb/services/postgresql/#overview) (Single / Flexible) is not recommended for use due to notable performance issues or missing functionality.
NOTE:
As a general rule we unfortunately don't recommend Azure Services at this time.
If required, we advise thorough testing is done at your intended scale
over a sustained period to validate if the service is suitable.
### Recommendation notes for Azure
Due to performance issues that we found with several key Azure services, we only recommend smaller architectures (up to 2k) to be deployed to Azure. For larger architectures, we recommend using another cloud provider.
In addition to the above, you should be aware of the additional specific guidance for Azure:
- **We outright strongly do not recommend [Azure Database for PostgreSQL Single Server](https://learn.microsoft.com/en-us/azure/postgresql/single-server/overview-single-server)** specifically due to significant performance and stability issues found. **For GitLab 14.0 and higher the service is not supported** due to it only supporting up to PostgreSQL 11.
- A new service, [Azure Database for Postgres Flexible Server](https://learn.microsoft.com/en-us/azure/postgresql/flexible-server/) has been released but due to it missing some functionality we don't recommend it at this time.
- [Azure Blob Storage](https://azure.microsoft.com/en-gb/services/storage/blobs/) has been found to have performance limits that can impact production use at certain times. However, this has only been seen in larger architectures.
## Validation and test results

4
doc/development/fe_guide/vue.md
View File

@ -408,11 +408,11 @@ export function useCount(initialValue) {
const count = ref(initialValue)
function incrementCount() {
ref.value += 1
count.value += 1
}
function decrementCount() {
ref.value -= 1
count.value -= 1
}
return { count, incrementCount, decrementCount }

10
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@ -222,15 +222,7 @@ Or check for duplicate messages in `/var/log/gitlab/gitlab-rail`, like:
2019-10-25_04:22:41.25630 2019-10-25T04:22:41.256Z 1584 TID-ovowh4tek WebHookWorker JID-941fb7f40b69dff3d833c99b INFO: start
```
To fix this issue:
1. Increase the `gitlab_rails['webhook_timeout']` value in the `gitlab.rb`
configuration file.
1. [Restart](../administration/restart_gitlab.md) GitLab:
```shell
gitlab-ctl reconfigure
```
On self-managed GitLab instances, you can fix this issue by [increasing the webhook timeout value](../administration/instance_limits.md#webhook-timeout).
### Enable job logs in Jenkins

12
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View File

@ -77,8 +77,13 @@ To retrieve metrics for deployment frequency, use the [GraphQL](../../api/graphq
### Lead time for changes
Lead time for changes measures the time to deliver a feature once it has been developed,
as described in [Measuring DevOps Performance](https://devops.com/measuring-devops-performance/).
DORA Lead time for changes measures the time to successfully deliver a feature into production.
This metric reflects the efficiency of CI/CD pipelines.
In GitLab, Lead time for changes calculates the median time it takes for a merge request to get merged into production.
We measure "FROM code committed TO code successfully running in production" without adding the "coding_time" to the calculation.
Over time, the lead time for changes should decrease, while your team's performance should increase.
Lead time for changes displays in several charts:
@ -88,6 +93,9 @@ Lead time for changes displays in several charts:
To retrieve metrics for lead time for changes, use the [GraphQL](../../api/graphql/reference/index.md) or the [REST](../../api/dora/metrics.md) APIs.
- The definition of lead time for change can vary widely, which often creates confusion within the industry.
- "Lead time for changes" is not the same as "Lead time". In the value stream, "Lead time" measures the time it takes for work on issue to move from the moment it's requested (Issue created) to the time it's fulfilled and delivered (Issue closed).
### Time to restore service
Time to restore service measures how long it takes an organization to recover from a failure in production.

9
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@ -249,10 +249,13 @@ The limit varies depending on your plan and the number of seats in your subscrip
|----------------------|-------------------------|
| Number of webhooks | `100` per project, `50` per group |
| Maximum payload size | 25 MB |
| Timeout | 10 seconds |
For self-managed instance limits, see
[Webhook rate limit](../../administration/instance_limits.md#webhook-rate-limit)
and [Number of webhooks](../../administration/instance_limits.md#number-of-webhooks).
For self-managed instance limits, see:
- [Webhook rate limit](../../administration/instance_limits.md#webhook-rate-limit).
- [Number of webhooks](../../administration/instance_limits.md#number-of-webhooks).
- [Webhook timeout](../../administration/instance_limits.md#webhook-timeout).
## Runner SaaS

73
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View File

@ -64,45 +64,25 @@ You can configure a webhook for a group or a project.
## Configure your webhook receiver endpoint
Webhook receivers should be *fast* and *stable*.
Slow and unstable receivers may be disabled temporarily to ensure system reliability.
If you are writing your own endpoint (web server) to receive GitLab webhooks, keep in mind the following:
Webhook receiver endpoints should be fast and stable.
Slow and unstable receivers can be [disabled automatically](#failing-webhooks) to ensure system reliability. Webhooks that fail can lead to retries, [which cause duplicate events](#webhook-fails-or-multiple-webhook-requests-are-triggered).
- Your endpoint should send its HTTP response as fast as possible.
You should aim for sub-second response times in all circumstances.
If the response takes longer than the configured timeout, GitLab assumes the
hook failed, which can lead to retries and potentially cause duplicate
events.
To customize the timeout, see
[Webhook fails or multiple webhook requests are triggered](#webhook-fails-or-multiple-webhook-requests-are-triggered).
- Your endpoint should ALWAYS return a valid HTTP response. If not,
GitLab assumes the hook failed and retries it.
Most HTTP libraries take care of the response for you automatically but if
you are writing a low-level hook, this is important to remember.
- GitLab usually ignores the HTTP status code returned by your endpoint,
unless the [`web_hooks_disable_failed` feature flag is set](#failing-webhooks).
Endpoints should follow these best practices:
Best practices for a webhook receiver:
- Prefer to return `200` or `201` status responses.
Only return error statuses (in the `4xx` range) to
indicate that the webhook has been misconfigured. For example, if your receiver
only supports push events, it is acceptable to return `400` if sent an issue
payload, since that is an indication that the hook has been set up
incorrectly. Alternatively, it is acceptable to ignore unrecognized event
payloads. Never return `500` status responses if the event has been handled.
- Your service should be idempotent. In some circumstances (including
timeouts), the same event may be sent twice. Be prepared to handle duplicate
events. You can reduce the chances of this by ensuring that your endpoint is
- **Respond quickly with a `200` or `201` status response.** Avoid any significant processing of webhooks in the same request.
Instead, implement a queue to handle webhooks after they are received. The timeout limit for webhooks is [10 seconds on GitLab.com](../../../user/gitlab_com/index.md#other-limits).
- **Be prepared to handle duplicate events.** In [some circumstances](#webhook-fails-or-multiple-webhook-requests-are-triggered), the same event may be sent twice. To mitigate this issue, ensure your endpoint is
reliably fast and stable.
- Keep response payloads as short as possible. Empty responses are
fine. GitLab does not examine the response body, and it is only
stored so you can examine it later in the logs.
- Limit the number and size of response headers. Only send headers that would
help you diagnose problems when examining the web hook logs.
- To support fast response times, perform I/O or computationally intensive
operations asynchronously. You may indicate that the webhook is
asynchronous by returning `201`.
- **Keep the response headers and body minimal.**
GitLab does not examine the response headers or body. GitLab stores them so you can examine them later in the logs to help diagnose problems. You should limit the number and size of headers returned. You can also respond to the webhook request with an empty body.
- Only return client error status responses (in the `4xx` range) to
indicate that the webhook has been misconfigured. Responses in this range can lead to your webhooks being [automatically disabled](#failing-webhooks). For example, if your receiver
only supports push events, you can return `400` if sent an issue
payload, as that is an indication that the hook has been set up
incorrectly. Alternatively, you can ignore unrecognized event
payloads.
- Never return `500` server error status responses if the event has been handled as this can cause the webhook to be [temporarily disabled](#failing-webhooks).
- Invalid HTTP responses are treated as failed requests.
### Failing webhooks
@ -283,20 +263,6 @@ To repeat the delivery with the same data, select **Resend Request**.
NOTE:
If you update the URL or secret token of the webhook, data is delivered to the new address.
### Webhook fails or multiple webhook requests are triggered
When GitLab sends a webhook, it expects a response in 10 seconds by default.
If the endpoint doesn't send an HTTP response in those 10 seconds,
GitLab may assume the webhook failed and retry it.
If your webhooks are failing or you are receiving multiple requests,
an administrator can try changing the default timeout value
by uncommenting or adding the following setting in `/etc/gitlab/gitlab.rb`:
```ruby
gitlab_rails['webhook_timeout'] = 10
```
### Unable to get local issuer certificate
When SSL verification is enabled, you might get an error that GitLab cannot
@ -308,6 +274,13 @@ determined by [CAcert.org](http://www.cacert.org/).
If that is not the case, consider using [SSL Checker](https://www.sslshopper.com/ssl-checker.html) to identify faults.
Missing intermediate certificates are common causes of verification failure.
### Webhook fails or multiple webhook requests are triggered
If you are receiving multiple webhook requests, the webhook might have timed out and
been retried.
GitLab expects a response in [10 seconds](../../../user/gitlab_com/index.md#other-limits). On self-managed GitLab instances, you can [change the webhook timeout limit](../../../administration/instance_limits.md#webhook-timeout).
### Re-enable disabled webhooks
> - Introduced in GitLab 15.2 [with a flag](../../../administration/feature_flags.md) named `webhooks_failed_callout`. Disabled by default.