Introducing Image Resizing with AWS Lambda

While developing an image upload feature for Oliveyoung's new product project, the team introduced a resizing method using AWS Lambda instead of the existing approach of creating temporary files on the server. This provides an efficient alternative in terms of processing speed and cost while reducing server load.

The implementation is structured to use the moment an image is uploaded to S3 as a trigger to execute a Lambda function. The main implementation steps are as follows.

• S3 bucket setup: Create buckets for storing images and resizing output
• IAM policy and role setup: Grant Lambda permissions to read (Get) and write (Put) S3 objects
• Lambda trigger configuration: Set up S3's PUT event as a trigger to build an automatic execution environment
• Code implementation: Use the sharp library to resize images and save them back to S3

Through this, S3, the image storage, can be utilized as efficiently as possible, and images for each purpose (default, thumbnail, display) can now be generated automatically.