Cloud Management and AIOps
Hide about this portal
This is an IBM Automation portal for Cloud Management, Technology Cost Management, Network Automation and AIOps products. To view all of your ideas submitted to IBM, create and manage groups of Ideas, or create an idea explicitly set to be either visible by all (public) or visible only to you and IBM (private), use the IBM Unified Ideas Portal (https://ideas.ibm.com).
Shape the future of IBM!
We invite you to shape the future of IBM, including product roadmaps, by submitting ideas that matter to you the most. Here's how it works:
Search existing ideas
Start by searching and reviewing ideas and requests to enhance a product or service. Take a look at ideas others have posted, and add a comment, vote, or subscribe to updates on them if they matter to you. If you can't find what you are looking for,
Post your ideas
Post an idea.
Get feedback from the IBM team and other customers to refine your idea.
Follow the idea through the IBM Ideas process.
Specific links you will want to bookmark for future use
Welcome to the IBM Ideas Portal (https://www.ibm.com/ideas) - Use this site to find out additional information and details about the IBM Ideas process and statuses.
IBM Unified Ideas Portal (https://ideas.ibm.com) - Use this site to view all of your ideas, create new ideas for any IBM product, or search for ideas across all of IBM.
ideasibm@us.ibm.com - Use this email to suggest enhancements to the Ideas process or request help from IBM for submitting your Ideas.
Flexible committed use discounts are a GCP feature released on October 27, 2022 (https://cloud.google.com/compute/docs/release-notes#October_27_2022).
Flexible CUDs are spend-based commitments that offer predictable and simple flat-rate discounts applicable across multiple VM families and regions. They provide significantly more flexibility than the resource-based CUDs, which apply only to a specific machine family and region.
An increasing number of GCP customers are complementing Flex CUDs with other savings plans.
To calculate optimal workload placement and to achieve the best possible deployment costs on GCP, Turbonomic’s analysis needs to discover and account for the Flex CUDs available in the specific GCP subscription.