What can a Solutions Architect do to improve the performance of these uploads while ensuring only authenticated users are allowed to post content?
Set up an Amazon API Gateway with an edge-optimized API endpoint that has a resource as an S3 service proxy. Configure the PUT method for this resource to expose the S3 PutObject operation. Secure the API Gateway using a COGNITO_USER_POOLS authorizer. Have the browser interface use API Gateway instead of the presigned URL to upload objects.
Set up an Amazon API Gateway with a regional API endpoint that has a resource as an S3 service proxy. Configure the PUT method for this resource to expose the S3 PutObject operation. Secure the API Gateway using an AWS Lambda authorizer. Have the browser interface use API Gateway instead of the presigned URL to upload API objects.
Enable an S3 Transfer Acceleration endpoint on the S3 bucket. Use the endpoint when generating the presigned URL. Have the browser interface upload the objects to this URL using the S3 multipart upload API.
Configure an Amazon CloudFront distribution for the destination S3 bucket. Enable PUT and POST methods for the CloudFront cache behavior. Update the CloudFront origin to use an origin access identity (OAI). Give the OAI user s3:PutObject permissions in the bucket policy. Have the browser interface upload objects using the CloudFront distribution.
Explanations:
While using API Gateway with a COGNITO_USER_POOLS authorizer can enforce authentication, it may not improve upload speeds for large files since API Gateway has a payload limit of 10 MB and may not support efficient handling of large object uploads compared to S3 directly.
Similar to Option A, using an AWS Lambda authorizer does not inherently improve upload speeds. Moreover, API Gateway limits payload sizes, which can hinder large file uploads and lead to inefficiencies compared to direct S3 access.
Enabling S3 Transfer Acceleration provides faster uploads by using Amazon CloudFront’s globally distributed edge locations, which reduce latency. Using multipart uploads allows users to upload large files in parts, enhancing performance and reliability. This approach maintains the requirement for authenticated users by still utilizing presigned URLs.
Configuring CloudFront for PUT and POST methods introduces complexity and potential latency issues. Although it can improve performance via caching for GET requests, it does not specifically address upload speed for large files. Additionally, CloudFront is not designed to handle uploads efficiently compared to S3 Transfer Acceleration.