Microsoft.Compute proximityPlacementGroups 2020-12-01

Template format

To create a Microsoft.Compute/proximityPlacementGroups resource, add the following JSON to the resources section of your template.

{
  "name": "string",
  "type": "Microsoft.Compute/proximityPlacementGroups",
  "apiVersion": "2020-12-01",
  "location": "string",
  "tags": {},
  "properties": {
    "proximityPlacementGroupType": "string",
    "colocationStatus": {
      "code": "string",
      "level": "string",
      "displayStatus": "string",
      "message": "string",
      "time": "string"
    }
  }
}

Property values

The following tables describe the values you need to set in the schema.

Microsoft.Compute/proximityPlacementGroups object

Note

In Bicep, type and apiVersion are specified in the first line of the resource declaration. Use the format <type>@<apiVersion>. Don't set those properties in the resource body.

Name Type Required Value
name string Yes The name of the proximity placement group.
type enum Yes For JSON - Microsoft.Compute/proximityPlacementGroups
apiVersion enum Yes For JSON - 2020-12-01
location string Yes Resource location
tags object No Resource tags
properties object Yes Describes the properties of a Proximity Placement Group. - ProximityPlacementGroupProperties object

ProximityPlacementGroupProperties object

Name Type Required Value
proximityPlacementGroupType enum No Specifies the type of the proximity placement group.

Possible values are:

Standard : Co-locate resources within an Azure region or Availability Zone.

Ultra : For future use. - Standard or Ultra
colocationStatus object No Describes colocation status of the Proximity Placement Group. - InstanceViewStatus object

InstanceViewStatus object

Name Type Required Value
code string No The status code.
level enum No The level code. - Info, Warning, Error
displayStatus string No The short localizable label for the status.
message string No The detailed status message, including for alerts and error messages.
time string No The time of the status.

Quickstart templates

The following quickstart templates deploy this resource type.

Template Description
SAS 9.4 with SAS Visual Analytics and SAS Visual Statistics

Deploy to Azure
The SAS 9.4 Quickstart Template for Azure with SAS Visual Analytics and SAS Visual Statistics deploys these products on the cloud: SAS Visual Analytics 7.51 and SAS Visual Statistics 7.51. This Quickstart is a reference architecture only. It is not intended for production use. Specifically, the Quickstart provides an example of how a SAS Visual Analytics in SAS 9.4 workload and a SAS Visual Statistics in SAS 9.4 workload running in a massively parallel processing (MPP) environment with SAS LASR Analytiic Server can be run on Azure.
SAS 9.4 and Viya Quickstart Template for Azure

Deploy to Azure
The SAS® 9.4 and Viya QuickStart Template for Azure deploy these products on the cloud: SAS® Enterprise BI Server 9.4, SAS® Enterprise Miner 15.1, and SAS® Visual Analytics 8.5 on Linux, and SAS® Visual Data Mining and Machine Learning 8.5 on Linux for Viya. This QuickStart is a reference architecture for users who wants to deploy the combination of SAS® 9.4 and Viya on Azure using cloud-friendly technologies. By deploying the SAS® platform on Azure, you get an integrated environment of SAS® 9.4 and Viya environments so you can take advantage of both worlds. SAS® Viya is a cloud-enabled, in-memory analytics engine. It uses elastic, scalable, and fault-tolerant processing to address complex analytical challenges. SAS® Viya provides faster processing for analytics by using a standardized code base that supports programming in SAS®, Python, R, Java, and Lua. It also supports cloud, on-premises, or hybrid environments and deploys seamlessly to any infrastructure or application ecosystem.
Example Parameterized Deployment With Linked Templates

Deploy to Azure
This sample template will deploy multiple tiers of resources into an Azure Resource Group. Each tier has configurable elements, to show how you can expose parameterization to the end user.
SAS 9.4 with SAS Visual Analytics and SAS Visual Statistics

Deploy to Azure
The SAS 9.4 Quickstart Template for Azure with SAS Visual Analytics and SAS Visual Statistics deploys these products on the cloud: SAS Visual Analytics 7.51 and SAS Visual Statistics 7.51. This Quickstart is a reference architecture only. It is not intended for production use. Specifically, the Quickstart provides an example of how a SAS Visual Analytics in SAS 9.4 workload and a SAS Visual Statistics in SAS 9.4 workload running in a massively parallel processing (MPP) environment with SAS LASR Analytiic Server can be run on Azure.
SAS 9.4 and Viya Quickstart Template for Azure

Deploy to Azure
The SAS® 9.4 and Viya QuickStart Template for Azure deploy these products on the cloud: SAS® Enterprise BI Server 9.4, SAS® Enterprise Miner 15.1, and SAS® Visual Analytics 8.5 on Linux, and SAS® Visual Data Mining and Machine Learning 8.5 on Linux for Viya. This QuickStart is a reference architecture for users who wants to deploy the combination of SAS® 9.4 and Viya on Azure using cloud-friendly technologies. By deploying the SAS® platform on Azure, you get an integrated environment of SAS® 9.4 and Viya environments so you can take advantage of both worlds. SAS® Viya is a cloud-enabled, in-memory analytics engine. It uses elastic, scalable, and fault-tolerant processing to address complex analytical challenges. SAS® Viya provides faster processing for analytics by using a standardized code base that supports programming in SAS®, Python, R, Java, and Lua. It also supports cloud, on-premises, or hybrid environments and deploys seamlessly to any infrastructure or application ecosystem.