Which solution will meet these requirements?
Configure AWS DataSync to migrate the data to Amazon S3 and to automatically verify the data.
Use rsync to transfer the data directly to Amazon S3.
Use the AWS CLI and multiple copy processes to send the data directly to Amazon S3.
Order multiple AWS Snowball devices. Copy the data to the devices. Send the devices to AWS to copy the data to Amazon S3.
Explanations:
While AWS DataSync can automate the transfer and verify data, it relies on the available bandwidth. Given the 500 Mbps uplink and the need to migrate 10 PB in 6 weeks, the bandwidth would not be sufficient to complete the task on time, as it would take significantly longer than 6 weeks at that rate.
Using rsync to transfer data directly to Amazon S3 is not ideal for such a large volume of data. Rsync is more suited for synchronizing files rather than transferring massive datasets, and it also does not have built-in data verification or the efficiency optimizations that a specialized tool would have. The bandwidth limitation would make this method impractical for a 10 PB migration within the given timeframe.
Similar to option B, using the AWS CLI with multiple copy processes does not inherently solve the bandwidth limitation issue. While it can improve transfer speeds, the overall available bandwidth would still restrict the migration process, and achieving the target within 6 weeks is unlikely due to the sheer volume of data.
Ordering multiple AWS Snowball devices is the most effective solution for migrating 10 PB of data within the required timeframe. Snowball devices can transfer large amounts of data physically, thus bypassing bandwidth constraints and enabling faster transfer to Amazon S3. This solution also provides built-in data integrity checks, ensuring the data is securely and accurately transferred.
I judge that the answer is:
Order multiple AWS Snowball devices. Copy the data to the devices. Send the devices to AWS to copy the data to Amazon S3.