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Fast and Cost-Effective Image Manipulation with Serverless Image Handler
As a modern company, you most likely have both a web-based and mobile app platform to provide content to customers who view it on a range of devices. This means you need to store multiple versions of images, depending on the device. The resulting image management can be a headache as it can be expensive and cumbersome to manage.
Serverless Image Handler (SIH) is an AWS Solution Implementation you use to store a single version of every image featured in your content, while dynamically delivering different versions at runtime based on your end user’s device. The solution simplifies code, saves on storage costs, and is ideal for use with web applications and mobile apps. SIH features include the ability to resize images, change background colors, apply formatting, and add watermarks.
Architecture overview
The SIH solution utilizes an AWS CloudFormation template to deploy the solution within minutes, and it’s for those of you who have multiple image assets needing an option to dynamically change or manipulate customer-facing images. SIH deploys best-in-class AWS services such as Amazon CloudFront, Amazon API Gateway, and AWS Lambda functions, and it connects to your Amazon Simple Storage Service (Amazon S3) bucket for storage.
Deploying this solution with the default parameters builds the following environment in AWS Cloud:
SIH uses the following AWS services:
- Amazon CloudFront to quickly and securely deliver images to your end users at scale
- AWS Lambda to run code for image manipulation without the need for provisioning or managing servers (thereby reducing costs and overhead)
- Your Amazon S3 bucket for storage of your image assets
- AWS Secrets Manager to support the signing of image URLs so that image access is protected
How does Serverless Image Handler work?
When an HTTP request is received from a customer device, it is passed from CloudFront to API Gateway, and then forwarded to the Lambda function for processing. If the image is cached by CloudFront because of an earlier request, CloudFront will return the cached image instead of forwarding the request to the API Gateway. This reduces latency and eliminates the cost of reprocessing the image.
Requests that are not cached are passed to the API Gateway, and the entire request is forwarded to the Lambda function. The Lambda function retrieves the original image from your Amazon S3 bucket and uses Sharp (the open source image processing software) to return a modified version of the image to the API Gateway. SIH also utilizes Thumbor to apply dynamic filters on the fly. Additionally, the solution generates a CloudFront domain name that supports caching in CloudFront. The newly manipulated image is now cached at CloudFront for easy access and retrieval. The end-to-end request and response can be secured by using the solution’s signed URL feature via AWS Secrets Manager, which allows you to prevent unauthorized use of your proprietary images.
Lastly, SIH uses Amazon Rekognition for face detection in images submitted for smart cropping, allowing for easy cropping for specific content and image needs.
Code example of image manipulation
Please refer to the SIH implementation guide to quickly set up and use SIH. Using Node.js, you can create an image request as illustrated below. The code block specifies the image location as myImageBucket and specifies edits of grayscale :true to change the image to grayscale.
const imageRequest = JSON.stringify({ bucket: “myImageBucket”, key: “myImage.jpg”, edits: { grayscale: true }
}); const url = `${CloudFrontUrl}/${Buffer.from(imageRequest).toString(‘base64’)}`;
With the generated URL, SIH can serve the grayscale image.
Conclusion
If you’re looking for a fast and cost-effective solution for image management, Serverless Image Handler provides a great way to manipulate and serve images on the fly with speed and security. Learn more about SIH and watch the accompanying Solving with AWS Solutions video below.