Committed Use Discounts (CUDs) are most beneficial for organizations with predictable and consistent compute resource needs over a sustained period. They provide significant cost savings compared to on-demand pricing, and are especially effective when used strategically across different types of Google Cloud compute resources.
Situation: A large SaaS company operates a web application that provides critical services to thousands of customers. This application requires a constant level of compute resources to maintain consistent performance and availability, 24/7, 365 days a year. The company utilizes various Google Cloud resources, including Compute Engine instances, Google Kubernetes Engine (GKE) nodes, and Cloud SQL databases. The traffic to the application is reasonably consistent day-to-day, and seasonal variations are predictable.
Why CUDs are Ideal Here:
Predictable Workloads: The SaaS company's application runs continuously with consistent traffic patterns. This predictability makes it a prime candidate for CUDs, as the company can forecast its resource usage with reasonable accuracy.
Cost Savings Potential: CUDs offer substantial discounts (up to 70% in some cases) compared to on-demand pricing. These discounts can result in considerable cost savings when applied across various resources.
Long-Term Commitment: The company is planning to operate the application for the foreseeable future and therefore is willing to commit to a certain level of resource usage. CUDs fit this long term commitment.
Resource Utilization: With predictable workloads the company will be able to utilize compute resources in a more efficient manner. Committing to specific resources will result in more effective utilization, as the company can forecast the needs.
How to Apply CUDs Effectively Across Different Compute Resources:
1. Compute Engine Instances:
Analysis: Review the historical usage of Compute Engine instances. Identify the instance types and number of virtual CPUs....
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