Amazon S3 is a highly scalable, secure, and durable object storage service that offers industry-leading performance and availability. It’s widely used to store a variety of unstructured data such as images, videos, backups, and logs. However, when uploading data to Amazon S3, especially large files or data accessed from different Amazon Web Services (AWS) Regions, choosing the right architecture pattern becomes crucial for optimizing performance and cost. The right pattern can reduce upload times by up to 60% and improve user experience for globally distributed applications.
In this post, we explore three architecture patterns to upload objects to Amazon S3: Amazon CloudFront PUT/POST Methods, S3 Transfer Acceleration, and S3 Multi-Region Access Points. We cover when to use each one, with real-world scenarios and use cases to help you make informed decisions.
Architecture patterns
We can do a direct upload to Amazon S3, where clients such as web or…
