diff --git a/doc/administration/reference_architectures/10k_users.md b/doc/administration/reference_architectures/10k_users.md
index 2212f52ad533e8a7c7318cfd2b300716fe2e7f11..f7667ec6783390f8e09965a4a7956cbf01508226 100644
--- a/doc/administration/reference_architectures/10k_users.md
+++ b/doc/administration/reference_architectures/10k_users.md
@@ -41,7 +41,8 @@ full list of reference architectures, see
 <!-- 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.
+    - [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB cluster](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.
+      - Note that [Amazon RDS Multi-AZ DB instance](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZSingleStandby.html) is a separate product and is supported.
     - [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.
@@ -1275,7 +1276,7 @@ in the second step, do not supply the `EXTERNAL_URL` value.
 
    # PostgreSQL configuration
    postgresql['listen_address'] = '0.0.0.0'
-   postgresql['max_connections'] = 200
+   postgresql['max_connections'] = 500
 
    # Prevent database migrations from running on upgrade automatically
    gitlab_rails['auto_migrate'] = false
@@ -2319,12 +2320,10 @@ Refer to [epic 6127](https://gitlab.com/groups/gitlab-org/-/epics/6127) for more
 The following tables and diagram detail the hybrid environment using the same formats
 as the normal environment above.
 
-First are the components that run in Kubernetes. The recommendation at this time is to
-use Google Cloud's Kubernetes Engine (GKE) or AWS Elastic Kubernetes Service (EKS) and associated machine types, but the memory
-and CPU requirements should translate to most other providers. We hope to update this in the
-future with further specific cloud provider details.
+First are the components that run in Kubernetes. These run across several node groups, although you can change
+the overall makeup as desired as long as the minimum CPU and Memory requirements are observed.
 
-| Service             | Nodes | Configuration           | GCP             | AWS          | Min Allocatable CPUs and Memory |
+| Service Node Group  | Nodes | Configuration           | GCP             | AWS          | Min Allocatable CPUs and Memory |
 |---------------------|-------|-------------------------|-----------------|--------------|---------------------------------|
 | Webservice          | 4     | 32 vCPU, 28.8 GB memory | `n1-highcpu-32` | `c5.9xlarge` | 127.5 vCPU, 118 GB memory       |
 | Sidekiq             | 4     | 4 vCPU, 15 GB memory    | `n1-standard-4` | `m5.xlarge`  | 15.5 vCPU, 50 GB memory         |
@@ -2333,7 +2332,7 @@ future with further specific cloud provider details.
 - For this setup, we **recommend** and regularly [test](index.md#validation-and-test-results)
 [Google Kubernetes Engine (GKE)](https://cloud.google.com/kubernetes-engine) and [Amazon Elastic Kubernetes Service (EKS)](https://aws.amazon.com/eks/). Other Kubernetes services may also work, but your mileage may vary.
 - Nodes configuration is shown as it is forced to ensure pod vCPU / memory ratios and avoid scaling during **performance testing**.
-  - In production deployments, there is no need to assign pods to nodes. A minimum of three nodes in three different availability zones is strongly recommended to align with resilient cloud architecture practices.
+  - In production deployments, there is no need to assign pods to specific nodes. A minimum of three nodes per node group in three different availability zones is strongly recommended to align with resilient cloud architecture practices.
 
 Next are the backend components that run on static compute VMs via Omnibus (or External PaaS
 services where applicable):
@@ -2355,7 +2354,8 @@ services where applicable):
 <!-- 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.
+    - [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB cluster](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.
+      - Note that [Amazon RDS Multi-AZ DB instance](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZSingleStandby.html) is a separate product and is supported.
     - [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.
diff --git a/doc/administration/reference_architectures/25k_users.md b/doc/administration/reference_architectures/25k_users.md
index 5c8f91d09d17448fc8a2a5491cdde8e1f2045c0d..25280d3a06d9cecac3f6e2b1f4f65fa32375289a 100644
--- a/doc/administration/reference_architectures/25k_users.md
+++ b/doc/administration/reference_architectures/25k_users.md
@@ -41,7 +41,8 @@ full list of reference architectures, see
 <!-- 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.
+    - [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB cluster](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.
+      - Note that [Amazon RDS Multi-AZ DB instance](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZSingleStandby.html) is a separate product and is supported.
     - [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.
@@ -1295,7 +1296,7 @@ in the second step, do not supply the `EXTERNAL_URL` value.
 
    # PostgreSQL configuration
    postgresql['listen_address'] = '0.0.0.0'
-   postgresql['max_connections'] = 200
+   postgresql['max_connections'] = 500
 
    # Prevent database migrations from running on upgrade automatically
    gitlab_rails['auto_migrate'] = false
@@ -2338,12 +2339,10 @@ Refer to [epic 6127](https://gitlab.com/groups/gitlab-org/-/epics/6127) for more
 The following tables and diagram detail the hybrid environment using the same formats
 as the normal environment above.
 
-First are the components that run in Kubernetes. The recommendation at this time is to
-use Google Cloud's Kubernetes Engine (GKE) or AWS Elastic Kubernetes Service (EKS) and associated machine types, but the memory
-and CPU requirements should translate to most other providers. We hope to update this in the
-future with further specific cloud provider details.
+First are the components that run in Kubernetes. These run across several node groups, although you can change
+the overall makeup as desired as long as the minimum CPU and Memory requirements are observed.
 
-| Service             | Nodes | Configuration           | GCP             | AWS          | Min Allocatable CPUs and Memory |
+| Service Node Group  | Nodes | Configuration           | GCP             | AWS          | Min Allocatable CPUs and Memory |
 |---------------------|-------|-------------------------|-----------------|--------------|---------------------------------|
 | Webservice          | 7     | 32 vCPU, 28.8 GB memory | `n1-highcpu-32` | `c5.9xlarge` | 223 vCPU, 206.5 GB memory       |
 | Sidekiq             | 4     | 4 vCPU, 15 GB memory    | `n1-standard-4` | `m5.xlarge`  | 15.5 vCPU, 50 GB memory         |
@@ -2352,7 +2351,7 @@ future with further specific cloud provider details.
 - For this setup, we **recommend** and regularly [test](index.md#validation-and-test-results)
 [Google Kubernetes Engine (GKE)](https://cloud.google.com/kubernetes-engine) and [Amazon Elastic Kubernetes Service (EKS)](https://aws.amazon.com/eks/). Other Kubernetes services may also work, but your mileage may vary.
 - Nodes configuration is shown as it is forced to ensure pod vCPU / memory ratios and avoid scaling during **performance testing**.
-  - In production deployments, there is no need to assign pods to nodes. A minimum of three nodes in three different availability zones is strongly recommended to align with resilient cloud architecture practices.
+  - In production deployments, there is no need to assign pods to specific nodes. A minimum of three nodes per node group in three different availability zones is strongly recommended to align with resilient cloud architecture practices.
 
 Next are the backend components that run on static compute VMs via Omnibus (or External PaaS
 services where applicable):
@@ -2374,7 +2373,8 @@ services where applicable):
 <!-- 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.
+    - [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB cluster](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.
+      - Note that [Amazon RDS Multi-AZ DB instance](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZSingleStandby.html) is a separate product and is supported.
     - [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.
diff --git a/doc/administration/reference_architectures/2k_users.md b/doc/administration/reference_architectures/2k_users.md
index 6f2e83c49d3a7cf9e2662e949f050b9ea2edfa6b..6814356074d1a27b20ea0fe9c66968cc11d79218 100644
--- a/doc/administration/reference_architectures/2k_users.md
+++ b/doc/administration/reference_architectures/2k_users.md
@@ -34,7 +34,8 @@ For a full list of reference architectures, see
 <!-- 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.
+    - [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB cluster](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.
+      - Note that [Amazon RDS Multi-AZ DB instance](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZSingleStandby.html) is a separate product and is supported.
     - [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/products/postgresql/#overview) is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61).
     - 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.
@@ -1046,12 +1047,10 @@ Refer to [epic 6127](https://gitlab.com/groups/gitlab-org/-/epics/6127) for more
 The following tables and diagram detail the hybrid environment using the same formats
 as the normal environment above.
 
-First are the components that run in Kubernetes. The recommendation at this time is to
-use Google Cloud's Kubernetes Engine (GKE) or AWS Elastic Kubernetes Service (EKS) and associated machine types, but the memory
-and CPU requirements should translate to most other providers. We hope to update this in the
-future with further specific cloud provider details.
+First are the components that run in Kubernetes. These run across several node groups, although you can change
+the overall makeup as desired as long as the minimum CPU and Memory requirements are observed.
 
-| Service             | Nodes | Configuration          | GCP             | AWS          | Min Allocatable CPUs and Memory |
+| Service Node Group  | Nodes | Configuration          | GCP             | AWS          | Min Allocatable CPUs and Memory |
 |---------------------|-------|------------------------|-----------------|--------------|---------------------------------|
 | Webservice          | 3     | 8 vCPU, 7.2 GB memory  | `n1-highcpu-8`  | `c5.2xlarge` | 23.7 vCPU, 16.9 GB memory       |
 | Sidekiq             | 2     | 4 vCPU, 15 GB memory   | `n1-standard-4` | `m5.xlarge`  | 7.8 vCPU, 25.9 GB memory        |
@@ -1060,7 +1059,7 @@ future with further specific cloud provider details.
 - For this setup, we **recommend** and regularly [test](index.md#validation-and-test-results)
 [Google Kubernetes Engine (GKE)](https://cloud.google.com/kubernetes-engine) and [Amazon Elastic Kubernetes Service (EKS)](https://aws.amazon.com/eks/). Other Kubernetes services may also work, but your mileage may vary.
 - Nodes configuration is shown as it is forced to ensure pod vCPU / memory ratios and avoid scaling during **performance testing**.
-  - In production deployments, there is no need to assign pods to nodes. A minimum of three nodes in three different availability zones is strongly recommended to align with resilient cloud architecture practices.
+  - In production deployments, there is no need to assign pods to specific nodes. A minimum of three nodes per node group in three different availability zones is strongly recommended to align with resilient cloud architecture practices.
 
 Next are the backend components that run on static compute VMs via Omnibus (or External PaaS
 services where applicable):
@@ -1076,7 +1075,8 @@ services where applicable):
 <!-- 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.
+    - [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB cluster](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.
+      - Note that [Amazon RDS Multi-AZ DB instance](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZSingleStandby.html) is a separate product and is supported.
     - [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/products/postgresql/#overview) is **not recommended** due to [performance issues](https://gitlab.com/gitlab-org/quality/reference-architectures/-/issues/61).
     - 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.
diff --git a/doc/administration/reference_architectures/3k_users.md b/doc/administration/reference_architectures/3k_users.md
index fea7d28274b127cd4ad9b42eaa766f9e926994f2..6c2b97fc33ca241b9a6273182b15703265f2fe07 100644
--- a/doc/administration/reference_architectures/3k_users.md
+++ b/doc/administration/reference_architectures/3k_users.md
@@ -50,7 +50,8 @@ For a full list of reference architectures, see
 <!-- 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.
+    - [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB cluster](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.
+      - Note that [Amazon RDS Multi-AZ DB instance](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZSingleStandby.html) is a separate product and is supported.
     - [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.
@@ -1230,7 +1231,7 @@ in the second step, do not supply the `EXTERNAL_URL` value.
 
    # PostgreSQL configuration
    postgresql['listen_address'] = '0.0.0.0'
-   postgresql['max_connections'] = 200
+   postgresql['max_connections'] = 500
 
    # Prevent database migrations from running on upgrade automatically
    gitlab_rails['auto_migrate'] = false
@@ -2309,12 +2310,10 @@ Refer to [epic 6127](https://gitlab.com/groups/gitlab-org/-/epics/6127) for more
 The following tables and diagram detail the hybrid environment using the same formats
 as the normal environment above.
 
-First are the components that run in Kubernetes. The recommendation at this time is to
-use Google Cloud's Kubernetes Engine (GKE) or AWS Elastic Kubernetes Service (EKS) and associated machine types, but the memory
-and CPU requirements should translate to most other providers. We hope to update this in the
-future with further specific cloud provider details.
+First are the components that run in Kubernetes. These run across several node groups, although you can change
+the overall makeup as desired as long as the minimum CPU and Memory requirements are observed.
 
-| Service             | Nodes | Configuration           | GCP             | AWS          | Min Allocatable CPUs and Memory |
+| Service Node Group  | Nodes | Configuration           | GCP             | AWS          | Min Allocatable CPUs and Memory |
 |---------------------|-------|-------------------------|-----------------|--------------|---------------------------------|
 | Webservice          | 2     | 16 vCPU, 14.4 GB memory | `n1-highcpu-16` | `c5.4xlarge` | 31.8 vCPU, 24.8 GB memory       |
 | Sidekiq             | 3     | 4 vCPU, 15 GB memory    | `n1-standard-4` | `m5.xlarge`  | 11.8 vCPU, 38.9 GB memory       |
@@ -2323,7 +2322,7 @@ future with further specific cloud provider details.
 - For this setup, we **recommend** and regularly [test](index.md#validation-and-test-results)
 [Google Kubernetes Engine (GKE)](https://cloud.google.com/kubernetes-engine) and [Amazon Elastic Kubernetes Service (EKS)](https://aws.amazon.com/eks/). Other Kubernetes services may also work, but your mileage may vary.
 - Nodes configuration is shown as it is forced to ensure pod vCPU / memory ratios and avoid scaling during **performance testing**.
-  - In production deployments, there is no need to assign pods to nodes. A minimum of three nodes in three different availability zones is strongly recommended to align with resilient cloud architecture practices.
+  - In production deployments, there is no need to assign pods to specific nodes. A minimum of three nodes per node group in three different availability zones is strongly recommended to align with resilient cloud architecture practices.
 
 Next are the backend components that run on static compute VMs via Omnibus (or External PaaS
 services where applicable):
@@ -2344,7 +2343,8 @@ services where applicable):
 <!-- 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.
+    - [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB cluster](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.
+      - Note that [Amazon RDS Multi-AZ DB instance](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZSingleStandby.html) is a separate product and is supported.
     - [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.
diff --git a/doc/administration/reference_architectures/50k_users.md b/doc/administration/reference_architectures/50k_users.md
index c3366752d1224dcc1143b9b15c21398b89779280..60c0bf024cc82676b9c57cbbba4c739e9288d17c 100644
--- a/doc/administration/reference_architectures/50k_users.md
+++ b/doc/administration/reference_architectures/50k_users.md
@@ -41,7 +41,8 @@ full list of reference architectures, see
 <!-- 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.
+    - [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB cluster](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.
+      - Note that [Amazon RDS Multi-AZ DB instance](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZSingleStandby.html) is a separate product and is supported.
     - [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.
@@ -1288,7 +1289,7 @@ in the second step, do not supply the `EXTERNAL_URL` value.
 
    # PostgreSQL configuration
    postgresql['listen_address'] = '0.0.0.0'
-   postgresql['max_connections'] = 200
+   postgresql['max_connections'] = 500
 
    # Prevent database migrations from running on upgrade automatically
    gitlab_rails['auto_migrate'] = false
@@ -2340,12 +2341,10 @@ Refer to [epic 6127](https://gitlab.com/groups/gitlab-org/-/epics/6127) for more
 The following tables and diagram detail the hybrid environment using the same formats
 as the normal environment above.
 
-First are the components that run in Kubernetes. The recommendation at this time is to
-use Google Cloud's Kubernetes Engine (GKE) or AWS Elastic Kubernetes Service (EKS) and associated machine types, but the memory
-and CPU requirements should translate to most other providers. We hope to update this in the
-future with further specific cloud provider details.
+First are the components that run in Kubernetes. These run across several node groups, although you can change
+the overall makeup as desired as long as the minimum CPU and Memory requirements are observed.
 
-| Service             | Nodes | Configuration           | GCP             | AWS          | Min Allocatable CPUs and Memory |
+| Service Node Group  | Nodes | Configuration           | GCP             | AWS          | Min Allocatable CPUs and Memory |
 |---------------------|-------|-------------------------|-----------------|--------------|---------------------------------|
 | Webservice          | 16    | 32 vCPU, 28.8 GB memory | `n1-highcpu-32` | `m5.8xlarge` | 510 vCPU, 472 GB memory         |
 | Sidekiq             | 4     | 4 vCPU, 15 GB memory    | `n1-standard-4` | `m5.xlarge`  | 15.5 vCPU, 50 GB memory         |
@@ -2354,7 +2353,7 @@ future with further specific cloud provider details.
 - For this setup, we **recommend** and regularly [test](index.md#validation-and-test-results)
 [Google Kubernetes Engine (GKE)](https://cloud.google.com/kubernetes-engine) and [Amazon Elastic Kubernetes Service (EKS)](https://aws.amazon.com/eks/). Other Kubernetes services may also work, but your mileage may vary.
 - Nodes configuration is shown as it is forced to ensure pod vCPU / memory ratios and avoid scaling during **performance testing**.
-  - In production deployments, there is no need to assign pods to nodes. A minimum of three nodes in three different availability zones is strongly recommended to align with resilient cloud architecture practices.
+  - In production deployments, there is no need to assign pods to specific nodes. A minimum of three nodes per node group in three different availability zones is strongly recommended to align with resilient cloud architecture practices.
 
 Next are the backend components that run on static compute VMs via Omnibus (or External PaaS
 services where applicable):
@@ -2376,7 +2375,8 @@ services where applicable):
 <!-- 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.
+    - [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB cluster](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.
+      - Note that [Amazon RDS Multi-AZ DB instance](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZSingleStandby.html) is a separate product and is supported.
     - [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.
diff --git a/doc/administration/reference_architectures/5k_users.md b/doc/administration/reference_architectures/5k_users.md
index df7636a5816abb882660629cff0717686013fd28..ddc9575efb4c2cc0c52d0dd29381277b9aa9b6c3 100644
--- a/doc/administration/reference_architectures/5k_users.md
+++ b/doc/administration/reference_architectures/5k_users.md
@@ -47,7 +47,8 @@ costly-to-operate environment by using the
 <!-- 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.
+    - [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB cluster](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.
+      - Note that [Amazon RDS Multi-AZ DB instance](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZSingleStandby.html) is a separate product and is supported.
     - [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.
@@ -1226,7 +1227,7 @@ in the second step, do not supply the `EXTERNAL_URL` value.
 
    # PostgreSQL configuration
    postgresql['listen_address'] = '0.0.0.0'
-   postgresql['max_connections'] = 200
+   postgresql['max_connections'] = 500
 
    # Prevent database migrations from running on upgrade automatically
    gitlab_rails['auto_migrate'] = false
@@ -2284,16 +2285,14 @@ Refer to [epic 6127](https://gitlab.com/groups/gitlab-org/-/epics/6127) for more
 The following tables and diagram detail the hybrid environment using the same formats
 as the normal environment above.
 
-First are the components that run in Kubernetes. The recommendation at this time is to
-use Google Cloud's Kubernetes Engine (GKE) or AWS Elastic Kubernetes Service (EKS) and associated machine types, but the memory
-and CPU requirements should translate to most other providers. We hope to update this in the
-future with further specific cloud provider details.
+First are the components that run in Kubernetes. These run across several node groups, although you can change
+the overall makeup as desired as long as the minimum CPU and Memory requirements are observed.
 
-| Service                                       | Nodes | Configuration           | GCP             | AWS          | Min Allocatable CPUs and Memory |
-|-----------------------------------------------|-------|-------------------------|-----------------|--------------|---------------------------------|
-| Webservice                                    | 5     | 16 vCPU, 14.4 GB memory | `n1-highcpu-16` | `c5.4xlarge` | 79.5 vCPU, 62 GB memory         |
-| Sidekiq                                       | 3     | 4 vCPU, 15 GB memory    | `n1-standard-4` | `m5.xlarge`  | 11.8 vCPU, 38.9 GB memory       |
-| Supporting services such as NGINX, Prometheus | 2     | 2 vCPU, 7.5 GB memory   | `n1-standard-2` | `m5.large`   | 3.9 vCPU, 11.8 GB memory        |
+| Service Node Group  | Nodes | Configuration           | GCP             | AWS          | Min Allocatable CPUs and Memory |
+|-------------------- |-------|-------------------------|-----------------|--------------|---------------------------------|
+| Webservice          | 5     | 16 vCPU, 14.4 GB memory | `n1-highcpu-16` | `c5.4xlarge` | 79.5 vCPU, 62 GB memory         |
+| Sidekiq             | 3     | 4 vCPU, 15 GB memory    | `n1-standard-4` | `m5.xlarge`  | 11.8 vCPU, 38.9 GB memory       |
+| Supporting services | 2     | 2 vCPU, 7.5 GB memory   | `n1-standard-2` | `m5.large`   | 3.9 vCPU, 11.8 GB memory        |
 
 - For this setup, we **recommend** and regularly [test](index.md#validation-and-test-results)
 [Google Kubernetes Engine (GKE)](https://cloud.google.com/kubernetes-engine) and [Amazon Elastic Kubernetes Service (EKS)](https://aws.amazon.com/eks/). Other Kubernetes services may also work, but your mileage may vary.
@@ -2319,7 +2318,8 @@ services where applicable):
 <!-- 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.
+    - [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB cluster](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.
+      - Note that [Amazon RDS Multi-AZ DB instance](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZSingleStandby.html) is a separate product and is supported.
     - [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.
diff --git a/doc/administration/reference_architectures/index.md b/doc/administration/reference_architectures/index.md
index 9ce87df534ae6fdec9e2ebf4eb8f37fd6937769c..60258fb5a0927ba5f383bfe2762fbecc2f4e5566 100644
--- a/doc/administration/reference_architectures/index.md
+++ b/doc/administration/reference_architectures/index.md
@@ -207,7 +207,8 @@ Several cloud provider services are known not to support the above or have been
 
 - [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/products/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.
+- [Google AlloyDB](https://cloud.google.com/alloydb) and [Amazon RDS Multi-AZ DB cluster](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.
+  - Note that [Amazon RDS Multi-AZ DB instance](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZSingleStandby.html) is a separate product and is supported.
 
 ### Recommendation notes for Azure