Oracle licensing Google Cloud

How does Oracle licensing on Google cloud work? – Oracle has strict licensing policies that must be followed when deploying its technology products on Google Cloud. This guide will explore the different licensing options for Oracle on Google Cloud and provide advice for organizations that want to use Google Cloud while staying compliant and optimizing costs.

Oracle Licensing Policies

Oracle licenses its technology products based on hardware specifications for both user licensing and processor licenses. This section will cover the different licensing options and policies for Oracle on Google Cloud, including the soft partitioning policy guide.

Google Bare Metal Solutions

Oracle Licensing Google offers bare metal solutions that require customers to bring their own Oracle licenses. This section will explain how to calculate licensing requirements and use the “bring your own license” (BYOL) solution on Google Cloud.

Advice for Organizations

This section will provide advice for organizations that want to use Google Cloud while staying compliant and optimizing costs. Topics covered will include the Oracle soft partitioning policy document, reviewing the Oracle processor definition in your licensing agreement, applying the Oracle core factor table, and considering alternatives to following Oracle’s licensing policies.

FAQ:

1. What are the different licensing options for Oracle on Google Cloud? Google Cloud offers two licensing options for Oracle: GCP and Bare Metal. GCP is a computing service provided by Google that allows customers to use Google’s infrastructure and run applications, but it is important to note that Oracle does not recognize Google’s hypervisor, meaning that you should follow Oracle’s licensing policy documents when deploying Oracle on GCP. On the other hand, Google’s bare metal solutions require customers to bring their own Oracle licenses.
2. How does the Oracle soft partitioning policy guide affect licensing on Google Cloud? The Oracle soft partitioning policy guide outlines how Oracle licenses should be counted in virtualized environments. Oracle does not consider many virtualization technologies as a way to limit licensing when servers are combined into clusters. This means that if Oracle is run on two virtual CPUs (vCPUs) on a server within a virtualized cluster with one hundred physical cores, the customer is required to purchase a license for all one hundred physical cores, not just the two vCPUs assigned to the Oracle deployment. It is important to be aware of these policies when deploying Oracle on Google Cloud.
3. What is Google’s bare metal solution for Oracle licensing? Google’s bare metal solutions require customers to bring their own Oracle licenses and use them as a “bring your own license” (BYOL) solution. Customers must calculate their licensing requirements in the same way as they would for an on-premises deployment, and Google does not offer any “license included” solutions.
4. How can organizations optimize costs when licensing Oracle on Google Cloud? Organizations can optimize costs by carefully considering their licensing requirements and using Google’s bare metal solutions to bring their own licenses. They should also review the Oracle soft partitioning policy document, review the Oracle processor definition in their licensing agreement, and apply the Oracle core factor table to ensure that they are following Oracle’s licensing policies.
5. Can organizations disregard Oracle’s licensing policies when using Google Cloud? Organizations technically can choose to disregard Oracle’s licensing policies and make their own decisions about running Oracle on Google Cloud, but this approach comes with potential risks and consequences. It is important to carefully consider Oracle’s policies and the potential implications of disregarding them before making a decision.

Conclusion: Oracle licensing on Google Cloud requires careful consideration of Oracle’s licensing policies and Google’s offerings. By following the advice in this guide, organizations can stay compliant and optimize costs when using Oracle on Google Cloud.