Which solution will meet these requirements MOST cost-effectively?
Deploy an AWS DataSync agent on a new GPU-based Amazon EC2 instance. Configure the DataSync agent to copy the batch of files from the NFS on-premises server to Amazon S3 Glacier Instant Retrieval. After the successful copy, delete the data from the on-premises storage.
Deploy an AWS DataSync agent as a Hyper-V VM on premises. Configure the DataSync agent to copy the batch of files from the NFS on-premises server to Amazon S3 Glacier Deep Archive. After the successful copy, delete the data from the on-premises storage.
Deploy an AWS DataSync agent on a new general purpose Amazon EC2 instance. Configure the DataSync agent to copy the batch of files from the NFS on-premises server to Amazon S3 Standard. After the successful copy, delete the data from the on-premises storage. Create an S3 Lifecycle rule to transition objects from S3 Standard to S3 Glacier Deep Archive after 1 day.
Deploy an AWS Storage Gateway Tape Gateway on premises in the Hyper-V environment. Connect the Tape Gateway to AWS. Use automatic tape creation. Specify an Amazon S3 Glacier Deep Archive pool. Eject the tape after the batch of images is copied.
Explanations:
AWS DataSync does not require GPU-based EC2 instances. Using Amazon S3 Glacier Instant Retrieval is more expensive than Glacier Deep Archive, and the requirement to archive images for long-term storage at lower cost suggests Glacier Deep Archive would be a better option.
AWS DataSync on a Hyper-V VM is a valid approach. S3 Glacier Deep Archive is the most cost-effective storage option for long-term archiving, and DataSync allows for scheduled transfers with bandwidth limits. This solution meets the requirement for cost-efficiency and retrieval time.
S3 Standard is not ideal for long-term archiving, as it is more expensive than Glacier Deep Archive. Additionally, transitioning to Glacier Deep Archive with an S3 Lifecycle rule incurs additional costs, making this solution less cost-effective compared to direct use of Glacier Deep Archive.
While a Tape Gateway can be used for archival storage, it is typically less cost-effective and more complex than using AWS DataSync with S3 Glacier Deep Archive. Automatic tape creation and ejecting tapes are not as straightforward for the company’s needs compared to using DataSync directly.
I weigh that the answer is:
Deploy an AWS DataSync agent as a Hyper-V VM on premises. Configure the DataSync agent to copy the batch of files from the NFS on-premises server to Amazon S3 Glacier Deep Archive. After the successful copy, delete the data from the on-premises storage.