Discover the best reservation strategy to minimize SAP HANA costs on Azure for the next three years. Learn about instance size flexibility and reservation terms to optimize your SAP HANA deployment.
Table of Contents
Question
You migrate an on-premises instance of SAP HANA to HANA on Azure (Large Instances).
You project that you will replace HANA Large Instances with two smaller instances in two years.
You need to recommend a solution to minimize SAP HANA costs for the next three years.
What should you include in the recommendation?
A. Azure Hybrid Benefit
B. a one-year reservation that has capacity priority
C. a three-year reservation that has instance size flexibility
D. a one-year reservation that has instance size flexibility
Answer
D. a one-year reservation that has instance size flexibility
Explanation
To minimize SAP HANA costs on Azure for the next three years, considering your plan to replace HANA Large Instances with two smaller instances in two years, you should include a one-year reservation that has instance size flexibility in your recommendation (Option D).
Instance size flexibility allows you to change the instance size within the same instance family and region, ensuring you can adapt your reservation to match your changing requirements. By opting for a one-year reservation instead of a three-year reservation, you can avoid being locked into a longer-term commitment that may not align with your planned instance size changes.
While a three-year reservation (Option C) could potentially offer greater discounts, it would not be optimal given your projected timeline for replacing the instances. A one-year reservation with capacity priority (Option B) would guarantee the availability of the instances but lacks the flexibility to adjust instance sizes. Azure Hybrid Benefit (Option A) allows you to use existing on-premises licenses on Azure but does not directly address the cost optimization aspect of the reservation strategy.
Therefore, a one-year reservation with instance size flexibility provides the best balance of cost savings and adaptability for your specific scenario.
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