Commit 513d3946 authored by Nailia Iskhakova's avatar Nailia Iskhakova Committed by Kati Paizee

Add Cloud Native Hybrid instructions on 3k users RA page

parent fe91c0a6
......@@ -18,20 +18,20 @@ For a full list of reference architectures, see
| Service | Nodes | Configuration | GCP | AWS | Azure |
|------------------------------------------|--------|-------------------------|-----------------|--------------|----------|
| Load balancer(3) | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| PostgreSQL(1) | 1 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | `m5.large` | `D2s v3` |
| Redis(2) | 1 | 1 vCPU, 3.75 GB memory | `n1-standard-1` | `m5.large` | `D2s v3` |
| Load balancer<sup>3</sup> | 1 | 2 vCPU, 1.8 GB memory | `n1-highcpu-2` | `c5.large` | `F2s v2` |
| PostgreSQL<sup>1</sup> | 1 | 2 vCPU, 7.5 GB memory | `n1-standard-2` | `m5.large` | `D2s v3` |
| Redis<sup>2</sup> | 1 | 1 vCPU, 3.75 GB memory | `n1-standard-1` | `m5.large` | `D2s v3` |
| Gitaly | 1 | 4 vCPU, 15 GB memory | `n1-standard-4` | `m5.xlarge` | `D4s v3` |
| GitLab Rails | 2 | 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(4) | n/a | n/a | n/a | n/a | n/a |
| Object storage<sup>4</sup> | n/a | n/a | n/a | n/a | n/a |
| NFS server (optional, not recommended) | 1 | 4 vCPU, 3.6 GB memory | `n1-highcpu-4` | `c5.xlarge` | `F4s v2` |
<!-- markdownlint-disable MD029 -->
1. Can be optionally run on reputable third party external PaaS PostgreSQL solutions. Google Cloud SQL and AWS RDS are known to work, however Azure Database for PostgreSQL is [not recommended](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61) due to performance issues. 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 as reputable third party external PaaS Redis solutions. Google Memorystore and AWS Elasticache are known to work.
3. Can be optionally run as 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.
1. Can be optionally run on reputable third-party external PaaS PostgreSQL solutions. Google Cloud SQL and AWS RDS are known to work, however Azure Database for PostgreSQL is [not recommended](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61) due to performance issues. 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 as reputable third-party external PaaS Redis solutions. Google Memorystore and AWS Elasticache are known to work.
3. Can be optionally run as 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.
<!-- markdownlint-enable MD029 -->
NOTE:
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......@@ -71,6 +71,7 @@ The following reference architectures are available:
The following Cloud Native Hybrid reference architectures, where select recommended components can be run in Kubernetes, are available:
- [Up to 3,000 users](3k_users.md#cloud-native-hybrid-reference-architecture-with-helm-charts-alternative)
- [Up to 5,000 users](5k_users.md#cloud-native-hybrid-reference-architecture-with-helm-charts-alternative)
- [Up to 10,000 users](10k_users.md#cloud-native-hybrid-reference-architecture-with-helm-charts-alternative)
- [Up to 25,000 users](25k_users.md#cloud-native-hybrid-reference-architecture-with-helm-charts-alternative)
......
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