Abstract

Cloud Volumes ONTAP (CVO) is an enterprise-grade, software-defined storage solution developed by NetApp that extends the robust data management capabilities of the ONTAP operating system to cloud environments such as Microsoft Azure. One of the primary challenges encountered by organizations utilizing cloud storage is cost optimization, given the substantial price variations across different storage tiers based on performance and access frequency. Data tiering within Cloud Volumes ONTAP functions as a strategic mechanism to address this issue by dynamically migrating data between high-performance premium storage and lower-cost standard storage tiers in Azure. This paper presents a comprehensive examination of data tiering in Cloud Volumes ONTAP, emphasizing its implementation within Azure to achieve cost efficiency without compromising system performance. It investigates the underlying mechanisms of data tiering, the policies that govern data movement, and how enterprises can utilize automated data management strategies to optimize cloud storage expenditures. Through intelligent tiering policies, organizations can ensure that frequently accessed data remains on high-performance storage while inactive data is transferred to cost-effective tiers, significantly reducing operational expenses while maintaining data accessibility and integrity.