12/15/2023 0 Comments Nodejs image resizeRunning a batch process to resize all original images into new, resized dimensions can be time-consuming, costly, and error-prone. When you redesign your website or application, you can add new dimensions on the fly, rather than working to reprocess the entire archive of images that you have stored. Instead of processing and resizing images into all necessary sizes upon upload, the approach of processing images on the fly has several upsides: In this post, I explore a different approach and outline a method of lazily generating images, in which a resized asset is only created if a user requests that specific size. It’s a common approach to use S3 event notifications and AWS Lambda for eager processing of images when a new object is created in a bucket. Images stored using Amazon S3 are often processed into multiple sizes to fit within the design constraints of a website or mobile application. This can become complex to manage and drive up costs. With the explosion of device types used to access the Internet with different capabilities, screen sizes, and resolutions, developers must often provide images in an array of sizes to ensure a great user experience. This post courtesy of John Pignata, AWS Solutions Architect If you’re looking to deploy a service to resize images to production, consider using the Serverless Image Handler which is a robust solution to handle image manipulation and can be deployed via an AWS CloudFormation template. UPDATE: May 29, 2018 – This post includes a small amount of sample code illustrating a pattern for lazily generating assets using AWS Lambda and Amazon S3.
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