Cost Calculator for Google Cloud Platform


Match workloads to global GCP sites and instance types quickly—or apply your own exact workload size to a custom instance type.

Map your entire VMware infrastructure against current pricing and configuration options from Google Compute Platform (GCP).

Rightsize your virtual machines, including CPU, memory, and storage footprint, to gain an accurate view of your true needs before you migrate.

Choosing a public cloud, and then configuring that your choice cost-effectively can be a complex process. CloudPhysics instantly shows you the right path through this complexity. Now you can make the smartest selection among the many Google instance types and classes.

Speed and Verify Decision-Making, While Saving Time in Your Migration Planning.

Simply download and activate the CloudPhysics app. In only fifteen minutes you begin receiving clear, verified answers. CloudPhysics lets you:

  • Simulate GCP capabilities
  • Identify and match upon all GCP sites, VM classes, and storage types
  • Rightsize all of your virtual machines (VMs)
  • Confidently make storage and compute availability decisions
  • Compare your on-premises infrastructure costs against GCP models

You can be assured of receiving the most recent, highest-fidelity insights, since CloudPhysics collects performance data at 20-second intervals. You can lower your costs even further by automatically matching lower-cost geographic regions to reduce migration outlay. With the Cost Calculator for GCP, you’ll see at a glance which choices make the most financial sense because results are presented in easy-to-understand dashboards and analytics.

How Does the GCP Cost Calculator Work?

Once activated, the CloudPhysics virtual appliance collects and analyzes performance and configuration metadata on your virtual infrastructure. You see results in clear, intuitive, and easily understandable dashboards and analytics. Now you and your team can access the same verified information when planning the GCP migration strategy. You can also benchmark key parameters against the vast CloudPhysics data lake, VMware best practices, and the CloudPhysics community.