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VMware and Google Cloud: building the hybrid cloud together with vRealize Orchestrator
Thursday, July 19, 2018
By Shan Kulandaivel, Product Manager, Google Compute Engine
Many of our customers with hybrid cloud environments rely on VMware software on-premises. They want to simplify provisioning and enable end-user self service. At the same time, they also want to make sure they’re complying with IT policies and following IT best practices. As a result, many use VMware vRealize Automation, a platform for automated self-service provisioning and lifecycle management of IT infrastructure, and are looking for ways to leverage it in the cloud.
Today, we’re announcing the preview of our plug-in for VMware vRealize Orchestrator and support for
Google Cloud Platform
(GCP) resources in vRealize Automation. With these resources, you can now deploy and manage GCP resources from within your vRealize Automation environment.
The GCP plug-in for VMware vRealize Orchestrator provides a consistent management and governance experience across on-premises and GCP-based IT environments. For example, you can use Google-provided blueprints or build your own blueprints for Google Compute Engine resources and publish to the vRealize service catalog. This means you can select and launch resources in a predictable manner that is similar to how you launch VMs in your on-premises VMware environment, using a tool you’re already familiar with.
This preview release allows you to:
Create vRealize Automation “blueprints” for Compute Engine VM Instances
Request and self-provision resources in GCP using vRA’s catalog feature
Gain visibility and reclaim resources in GCP to reduce operational costs
Enforce access and resource quota policies for resources in GCP
Initiate Day 2 operations (start, stop, delete, etc.) on Compute Engine VM Instances, Instance Groups and Disks
The GCP plug-in for vRealize makes it easy for you to unlock new hybrid scenarios. For example:
Reach
new regions
to address global business needs. (Hello
Finland
,
Mumbai
and
Singapore
.)
Define large-scale applications using vRA and deploy to Compute Engine to leverage GCP’s
worldwide load balancing
and automatic scaling.
Save money by deploying VMs as Compute Engine
Preemptible VM Instances
and using
Custom Machine Types
to tailor the VM configuration to application needs.
Accelerate the time it takes to train a machine learning model by using Compute Engine with
NVIDIA® Tesla® P100
GPUs.
Replicate your on premises-based applications to the cloud and scale up or down as your business dictates.
While this preview offers support for Compute Engine Virtual Machines in vRealize Automation, we’re working together with VMware to add support for additional GCP products such as Cloud TPUs—we’ll share more on that in the coming months. You can also find more information about this announcement by reading
VMware’s blog
.
In the meantime, to join the preview program, please submit a request using the
preview intake form
.
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