Remove recommendations for specific instance types for GitHub Enterprise Server (#18183)

Author: mattpollard

content/admin/enterprise-management/increasing-cpu-or-memory-resources.md

@@ -30,14 +30,11 @@ Before increasing CPU or memory resources for {% data variables.product.product_
 #### Supported AWS instance types
 
 You need to determine the instance type you would like to upgrade to based on CPU/memory specifications.
-{% data reusables.enterprise_installation.aws-supported-instance-types %}
-
-#### Recommended AWS instance types
-
-{% data reusables.enterprise_installation.aws-recommended-instance-types %}
 
 {% data reusables.enterprise_installation.warning-on-scaling %}
 
+{% data reusables.enterprise_installation.aws-instance-recommendation %}
+
 #### Resizing for AWS
 
 {% note %}

content/admin/installation/installing-github-enterprise-server-on-aws.md

@@ -33,18 +33,12 @@ This guide assumes you are familiar with the following AWS concepts:
 
 ### Determining the instance type
 
-Before launching {% data variables.product.product_location %} on AWS, you'll need to determine the type of virtual machine that best fits the needs of your organization.
-
-#### Supported instance types
-
-{% data reusables.enterprise_installation.aws-supported-instance-types %}
-
-#### Recommended instance types
-
-{% data reusables.enterprise_installation.aws-recommended-instance-types %}
+Before launching {% data variables.product.product_location %} on AWS, you'll need to determine the machine type that best fits the needs of your organization. To review the minimum requirements for {% data variables.product.product_name %}, see "[Minimum requirements](#minimum-requirements)."
 
 {% data reusables.enterprise_installation.warning-on-scaling %}
 
+{% data reusables.enterprise_installation.aws-instance-recommendation %}
+
 ### Selecting the {% data variables.product.prodname_ghe_server %} AMI
 
 You can select an Amazon Machine Image (AMI) for {% data variables.product.prodname_ghe_server %} using the {% data variables.product.prodname_ghe_server %} portal or the AWS CLI.

content/admin/installation/installing-github-enterprise-server-on-azure.md

@@ -24,26 +24,15 @@ You can deploy {% data variables.product.prodname_ghe_server %} on global Azure
 
 ### Determining the virtual machine type
 
-Before launching {% data variables.product.product_location %} on Azure, you'll need to determine the type of virtual machine that best fits the needs of your organization.
+Before launching {% data variables.product.product_location %} on Azure, you'll need to determine the machine type that best fits the needs of your organization. To review the minimum requirements for {% data variables.product.product_name %}, see "[Minimum requirements](#minimum-requirements)."
 
-#### Supported VM types and regions
-
-The {% data variables.product.prodname_ghe_server %} appliance requires a premium storage data disk, and is supported on any Azure VM that supports premium storage. For more information, see "[Supported VMs](https://docs.microsoft.com/azure/storage/common/storage-premium-storage#supported-vms)" in the Azure documentation. For general information about available VMs, see [the Azure virtual machines overview page](https://azure.microsoft.com/pricing/details/virtual-machines/#Linux).
-
-{% data variables.product.prodname_ghe_server %} supports any region that supports your VM type. For more information about the supported regions for each VM, see Azure's "[Products available by region](https://azure.microsoft.com/regions/services/)."
-
-#### Recommended VM types
+{% data reusables.enterprise_installation.warning-on-scaling %}
 
-We recommend you use a DS v2 instance type with at least 14 GB of RAM. You can use any supported VM type. Based on your user license count, we recommend the following instance types.
+The {% data variables.product.prodname_ghe_server %} appliance requires a premium storage data disk, and is supported on any Azure VM that supports premium storage. Azure VM types with the `s` suffix support premium storage. For more information, see "[What disk types are available in Azure?](https://docs.microsoft.com/en-us/azure/virtual-machines/disks-types#premium-ssd)" and "[Azure premium storage: design for high performance](https://docs.microsoft.com/en-us/azure/virtual-machines/premium-storage-performance)" in the Azure documentation.
 
-| Seats        | Recommended type |
-|:------------:|:----------------:|
-| Trial, demo, or 10 light users | Standard_DS11_v2  |
-| 10 - 3000    | Standard_DS12_v2 |
-| 3000 - 8000  | Standard_DS14_v2 |
-| 8000 - 10000+ | Standard_DS15_v2 |
+{% data variables.product.company_short %} recommends a memory-optimized VM for {% data variables.product.prodname_ghe_server %}. For more information, see "[Memory optimized virtual machine sizes](https://docs.microsoft.com/en-us/azure/virtual-machines/sizes-memory)" in the Azure documentation.
 
-{% data reusables.enterprise_installation.warning-on-scaling %}
+{% data variables.product.prodname_ghe_server %} supports any region that supports your VM type. For more information about the supported regions for each VM, see Azure's "[Products available by region](https://azure.microsoft.com/regions/services/)."
 
 ### Creating the {% data variables.product.prodname_ghe_server %} virtual machine
 

content/admin/installation/installing-github-enterprise-server-on-google-cloud-platform.md

@@ -22,35 +22,12 @@ topics:
 
 ### Determining the machine type
 
-Before launching {% data variables.product.product_location %} on Google Cloud Platform, you'll need to determine the machine type that best fits the needs of your organization.
-
-#### Supported machine types
-
-{% data variables.product.prodname_ghe_server %} is supported on the following Google Compute Engine (GCE) machine types. For more information, see [the Google Cloud Platform machine types article](https://cloud.google.com/compute/docs/machine-types).
-
-| High-memory   |
-| ------------- |
-| n1-highmem-4  |
-| n1-highmem-8  |
-| n1-highmem-16 |
-| n1-highmem-32 |
-| n1-highmem-64 |
-| n1-highmem-96 |
-
-#### Recommended machine types
-
-Based on your user license count, we recommend these machine types.
-
-| Seats         | Recommended type |
-|:-------------:|:----------------:|
-| Trial, demo, or 10 light users | n1-standard-4    |
-| 10 - 3000     | n1-standard-8    |
-| 3000 - 5000   | n1-highmem-8     |
-| 5000 - 8000   | n1-highmem-16    |
-| 8000 - 10000+ | n1-highmem-32    |
+Before launching {% data variables.product.product_location %} on Google Cloud Platform, you'll need to determine the machine type that best fits the needs of your organization. To review the minimum requirements for {% data variables.product.product_name %}, see "[Minimum requirements](#minimum-requirements)."
 
 {% data reusables.enterprise_installation.warning-on-scaling %}
 
+{% data variables.product.company_short %} recommends a general-purpose, high-memory machine for {% data variables.product.prodname_ghe_server %}. For more information, see "[Machine types](https://cloud.google.com/compute/docs/machine-types#n2_high-memory_machine_types)" in the Google Compute Engine documentation.
+
 ### Selecting the {% data variables.product.prodname_ghe_server %} image
 
 1. Using the [gcloud compute](https://cloud.google.com/compute/docs/gcloud-compute/) command-line tool, list the public {% data variables.product.prodname_ghe_server %} images:

data/reusables/enterprise_installation/aws-instance-recommendation.md

@@ -0,0 +1 @@
+{% data variables.product.company_short %} recommends a memory-optimized instance for {% data variables.product.prodname_ghe_server %}. For more information, see [Amazon EC2 Instance Types](https://aws.amazon.com/ec2/instance-types/#Memory_Optimized) on the Amazon EC2 website.