Which solution will meet these requirements MOST cost-effectively?
Establish a new 10 Gbps AWS Direct Connect connection to each office. Transfer the data to Amazon S3.
Use multiple AWS Snowball Edge storage-optimized devices to store and transfer the data to Amazon S3.
Use an AWS Snowmobile to store and transfer the data to Amazon S3.
Set up an AWS Storage Gateway Volume Gateway to transfer the data to Amazon S3.
Explanations:
Establishing a new 10 Gbps AWS Direct Connect connection to each office would incur significant costs and may not be feasible given the number of offices. Additionally, even at 10 Gbps, transferring 1 PB of data would still take a substantial amount of time (over 2 hours) per office, potentially exceeding the 4-week deadline when scaled across all offices.
Using multiple AWS Snowball Edge storage-optimized devices allows for transferring large amounts of data securely and efficiently. Snowball devices can store up to 80 TB each, meaning multiple devices would be required, but this method is designed for bulk data transfer and is more cost-effective than setting up Direct Connect. It also meets the timeline requirement, as the devices can be shipped to AWS after filling them.
An AWS Snowmobile is a large-scale data transfer solution that is suitable for moving exabytes of data. While it could theoretically handle the data transfer from multiple offices, it is not a practical solution for only 80 PB and is not designed for smaller-scale migrations, making it overkill and cost-inefficient for this scenario.
Setting up an AWS Storage Gateway Volume Gateway would not be cost-effective or efficient for migrating 80 PB of data in a timely manner. It relies on an existing network connection, and given the available bandwidth (1-2 Gbps), it would take too long to complete the migration within the 4-week timeframe. This option is more suited for ongoing data transfer rather than large-scale one-time migrations.