![]() The user accesses an object via a public URL, which routes the request to the nearest edge location. This access pattern allows you to quickly adapt to changing business needs by serving a derived set of images without spending time copying and converting your existing image library. In this post, I show you how to build a solution that lets you dynamically modify images cached in Amazon CloudFront via Amazon S3 Object Lambda using After you’ve built the solution, a user uses a public URL to retrieve multiple transformed versions of an image stored in a private Amazon S3 bucket. Amazon S3 Object Lambda eliminates the need to create and store derivative copies of your data or to run expensive proxies, all with no changes required to your applications. With Amazon S3 Object Lambda, you can add code to modify the data returned by standard Amazon S3 GET requests to resize and watermark images, customize metadata, and much more. This leads to unnecessary storage and data processing costs.Ĭustomers use a combination of Amazon CloudFront and Amazon Simple Storage Service (S3) to publicly serve static content for websites, applications, and more. When a new access requirement is added, existing objects need to be transformed again and a new version saved. In many cases, both the original and transformed versions of an object are stored. The object should be stored in its original format, while the transformed version should be cached at the edge for quick access. ![]() The transformations may include masking an image’s metadata, watermarking, or resizing an image before returning it to the user. ![]() ![]() As data access requirements evolve, the end user may need a transformed version of the original content. Delivering optimized content is critical to a positive end user experience. ![]()
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