Make sure you create “/Images” and “/Processed_Images” folders in the created S3 bucket. The S3 bucket is served via CloudFront, to reduce the latency in loading the original and converted images.Ĭode repo can be found here. You can update this lambda layer ARN (From Klayers) in terraform.tfvars. The Regional Edge Cache runs on the 13 AWS Regions available across the globe. It lets you run Lambda functions in response to CloudFront events giving you the ability to modify static content. The library was used as a lambda layer, because direct deployment with the code had some issues in AWS lambda. LambdaEdge is an extension of AWS Lambda. The lambda has given permission to read/write to the particular S3 bucket and write access to CloudWatch thereby lambda logs can be published to it.įor the image conversion, “PIL” library in python was used. The converted images will be uploaded to “/Processed_Images” folder in the same S3 bucket. UPDATE: This post includes a small amount of sample code illustrating a pattern for lazily generating assets using AWS Lambda and Amazon S3. ![]() When the AWS user uploads the images to S3 (to /Images) folder, the lambda trigger will be invoked in background and convert the uploaded images to 3 different sizes keeping the original aspect ratio (Width:Height) same. The CloudFront origin has been created and associated with the bucket to serve the images to public via CloudFront. The S3 bucket can be accessible by AWS admin and all public access has been blocked. ![]() ![]() Optimizing images on your website is critical to improve your users’ experience, reduce delivery costs and enhance your position in search engine ranking. Images are usually the heaviest components of a web page, both in terms of bytes and number of HTTP requests. The whole infrastructure has been deployed using Terraform. Image Optimization using Amazon CloudFront and AWS Lambda. This blog focuses on the architecture that can be used to resize the images to different width sizes (240/480/960) on the fly while they are being uploaded to S3 and serving them via CloudFront.
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