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Diffstat (limited to 'doc/administration/reference_architectures/10k_users.md')
| -rw-r--r-- | doc/administration/reference_architectures/10k_users.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/doc/administration/reference_architectures/10k_users.md b/doc/administration/reference_architectures/10k_users.md index a5975caccf7..be9aef2fae1 100644 --- a/doc/administration/reference_architectures/10k_users.md +++ b/doc/administration/reference_architectures/10k_users.md @@ -39,7 +39,7 @@ full list of reference architectures, see <!-- 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. [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 Azure Database for PostgreSQL is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61). Consul is primarily used for PostgreSQL high availability so can be ignored when using a PostgreSQL PaaS setup. However it is also used optionally by Prometheus for Omnibus auto host discovery. -2. Can be optionally run on reputable third-party external PaaS Redis solutions. Google Memorystore and AWS Elasticache are known to work. +2. Can be optionally run on reputable third-party external PaaS Redis solutions. Google Memorystore and AWS ElastiCache are known to work. 3. Can be optionally run on reputable third-party load balancing services (LB PaaS). AWS ELB is known to work. 4. Should be run on reputable third-party object storage (storage PaaS) for cloud implementations. Google Cloud Storage and AWS S3 are known to work. 5. Gitaly Cluster provides the benefits of fault tolerance, but comes with additional complexity of setup and management. Review the existing [technical limitations and considerations before deploying Gitaly Cluster](../gitaly/index.md#before-deploying-gitaly-cluster). If you want sharded Gitaly, use the same specs listed above for `Gitaly`. @@ -2333,7 +2333,7 @@ services where applicable): <!-- 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. [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 Azure Database for PostgreSQL is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61). Consul is primarily used for PostgreSQL high availability so can be ignored when using a PostgreSQL PaaS setup. However it is also used optionally by Prometheus for Omnibus auto host discovery. -2. Can be optionally run on reputable third-party external PaaS Redis solutions. Google Memorystore and AWS Elasticache are known to work. +2. Can be optionally run on reputable third-party external PaaS Redis solutions. Google Memorystore and AWS ElastiCache are known to work. 3. Can be optionally run on reputable third-party load balancing services (LB PaaS). AWS ELB is known to work. 4. Should be run on reputable third-party object storage (storage PaaS) for cloud implementations. Google Cloud Storage and AWS S3 are known to work. 5. Gitaly Cluster provides the benefits of fault tolerance, but comes with additional complexity of setup and management. Review the existing [technical limitations and considerations before deploying Gitaly Cluster](../gitaly/index.md#before-deploying-gitaly-cluster). If you want sharded Gitaly, use the same specs listed above for `Gitaly`. |