A video analytics company runs data-intensive batch processing workloads that generate large log files and metadata daily. These files are currently stored in an on-premises NFS-based storage system located in the company's primary data center. However, the storage system is becoming increasingly difficult to scale and is unable to meet the company's growing storage demands. The IT team wants to migrate to a cloud-based storage solution that minimizes costs, retains NFS compatibility, and supports automated tiering of rarely accessed data to lower-cost storage. The team prefers to continue using existing NFS-based tools and protocols for compatibility with their current application stack. Which solution will meet these requirements MOST cost-effectively?