Best Way to Upload Large Files to S3 Bucket

Answer: C.

Option A is incorrect since Route 53 latency routing only calculates latency between different endpoints based on the Internet traffic & location proximity rather than optimizing the network for fast data transfers.

Option B is incorrect since Direct Connect is used for very specific purposes like extreme security requirements for the data transfer.

Also, establishing multiple Direct Connect infrastructures would be expensive from a cost standpoint.

Option C is CORRECT.

The best way to address this scenario is to route the requests to the nearest CloudFront edge location from the different Geographic locations.

Edge locations provide a fast network infrastructure bypassing much of the internet for delivering content to S3 destinations.

Performance gains of nearly 50 - 500% can be observed while using S3 Transfer Acceleration.

Option D is incorrect.

It is possible to use S3 endpoints directly for data transfer.

But it will be impractical for situations where the Geographic location is significantly far away from the S3 destination introducing high latency while uploading large objects.

References:

https://medium.com/awesome-cloud/aws-amazon-s3-transfer-acceleration-overview-6baa7b029c27 https://docs.aws.amazon.com/AmazonS3/latest/dev/transfer-acceleration.html

The best mechanism to upload a large number of large-size objects from different geographic locations to an S3 bucket in a fast and reliable way is to use S3 Transfer Acceleration. This service uses Amazon CloudFront's globally distributed edge locations to accelerate transfers over the public internet, resulting in faster and more reliable transfers than traditional methods.

Option A, connecting to an EC2 instance hosted in multiple regions using Route 53, may be a viable solution, but it would require the deployment and management of additional infrastructure, potentially increasing complexity and cost.

Option B, using a Direct Connect link from each geographic location, is a dedicated network connection between the locations and AWS, but it may not be the most cost-effective option, especially for smaller businesses or individuals.

Option D, accessing the S3 bucket directly and using a multi-part-upload, is a valid option for transferring huge objects, but it may not be the most efficient way to transfer a large number of large-size objects from multiple geographic locations.

Therefore, S3 Transfer Acceleration is the best mechanism for uploading a large number of large-size objects from different geographic locations to an S3 bucket in a fast and reliable way, as it utilizes Amazon CloudFront's globally distributed edge locations and does not require additional infrastructure or dedicated network connections.