7.2

3 Add a new instance type, specifying the following parameters.
Information about the available Amazon instances types and the setting values that you can specify
for these parameters is available from Amazon Web Services documentation in EC2 Instance Types -
Amazon Web Services (AWS) at aws.amazon.com/ec2 and Instance Types at
docs.aws.amazon.com.
n
Name
n
API name
n
Type Name
n
IO Performance Name
n
CPUs
n
Memory (GB)
n
Storage (GB)
n
Compute Units
4
Click the Save icon ( ).
When IaaS architects create Amazon Web Services blueprints, they can use your custom instance types.
What to do next
Add the compute resources from your endpoint to a fabric group. See Create a Fabric Group.
Create a Microsoft Azure Endpoint
You can create a Microsoft Azure endpoint to facilitate a credentialed connection between
vRealize Automation and an Azure deployment.
An endpoint establishes a connection to a resource, in this case an Azure instance, that you can use to
create virtual machine blueprints. You must have an Azure endpoint to use as the basis of blueprints for
provisioning Azure virtual machines. If you use multiple Azure subscriptions, you need endpoints for each
subscription ID.
As an alternative, you can create an Azure connection directly from vRealize Orchestrator using the Add
an Azure Connection command located under Library > Azure > Configuration in the
vRealize Orchestrator workflow tree. For most scenarios, creating a connection through the endpoint
configuration as described herein is the preferred option.
Azure endpoints are supported by vRealize Orchestrator and XaaS functionality. You can create, delete,
or edit an Azure endpoint. Note that if you make any changes to an existing endpoint and do not execute
any updates on the Azure portal through the updated connection for several hours, then you must restart
the vRealize Orchestrator service using the service vco-service restart command. Failure to
restart the service may result in errors.
Configuring vRealize Automation
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