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dynamic-image-transformation-for-amazon-cloudfront

> 编程语言
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Transform, optimize, and deliver images in real time at a fraction of the cost.

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Transform, optimize, and deliver images in real time at a fraction of the cost.

Dynamic Image Transformation for Amazon CloudFront | Feature request | Bug Report | ❓ General Question

Note: If you want to use the solution without building from source, navigate to Solution Landing Page.

Table of Content

  • Solution Overview
  • Architecture Diagram
  • AWS CDK and Solutions Constructs
  • Customizing the Solution
    • Prerequisites for Customization
      • 1. Clone the repository
      • 2. Unit Test
      • 3. Build & Deploy
  • Collection of operational metrics
  • External Contributors
  • License

Solution Overview

The Dynamic Image Transformation for Amazon CloudFront solution helps to embed images on websites and mobile applications to drive user engagement. It uses Sharp to provide high-speed image processing without sacrificing image quality. To minimize costs of image optimization, manipulation, and processing, this solution automates version control and provides flexible storage and compute options for file reprocessing.

This solution automatically deploys and configures a serverless architecture optimized for dynamic image manipulation. Images can be rendered and returned spontaneously. For example, an image can be resized based on different screen sizes by adding code on a website that leverages this solution to resize the image before being sent to the screen using the image. It uses Amazon CloudFront for global content delivery and Amazon Simple Storage Service (Amazon S3) for reliable and durable cloud storage.

For more information and a detailed deployment guide, visit the Dynamic Image Transformation for Amazon CloudFront solution page.

Architecture Diagram

Dynamic Image Transformation for Amazon CloudFront supports two architectures:

ECS Architecture

One click deployment - https://solutions-reference.s3.us-east-1.amazonaws.com/dynamic-image-transformation-for-amazon-cloudfront/latest/dynamic-image-transformation-for-amazon-cloudfront-ecs.template

Lambda Architecture

One click deployment - https://solutions-reference.s3.us-east-1.amazonaws.com/dynamic-image-transformation-for-amazon-cloudfront/latest/dynamic-image-transformation-for-amazon-cloudfront-lambda.template

The Amazon API Gateway REST API architecture maintains the structure used in v6.3.3 and below of the Dynamic Image Transformation for Amazon CloudFront.

S3 Object Lambda Architecture (DEPRECATED)

⚠️ DEPRECATED: This architecture has been deprecated and should not be used for new deployments. Use the ECS Architecture instead.

The S3 Object Lambda architecture has been deprecated and will no longer be open to new customers starting on November 7, 2025. If you were not an existing user of S3 Object Lambda before November 7, 2025, select ‘No“ for EnableS3ObjectLambdaParameter. For more information, please visit https://docs.aws.amazon.com/AmazonS3/latest/userguide/amazons3-ol-change.html.

The S3 Object Lambda architecture maintains very similar functionality, while also allowing for images larger than 6 MB to be returned. For more information, refer to the Architecture Overview in the implementation guide.

AWS CDK and Solutions Constructs

AWS Cloud Development Kit (AWS CDK) and AWS Solutions Constructs make it easier to consistently create well-architected infrastructure applications. All AWS Solutions Constructs are reviewed by AWS and use best practices established by the AWS Well-Architected Framework. This solution uses the following AWS Solutions Constructs:

  • aws-cloudfront-s3
  • aws-cloudfront-apigateway-lambda

In addition to the AWS Solutions Constructs, the solution uses AWS CDK directly to create infrastructure resources.

Customizing the Solution

Prerequisites for Customization

  • AWS Command Line Interface
  • Node.js 20.x or later

1. Clone the repository

bash
git clone https://github.com/aws-solutions/dynamic-image-transformation-for-amazon-cloudfront.git
cd dynamic-image-transformation-for-amazon-cloudfront
export MAIN_DIRECTORY=$PWD

2. Unit Test

After making changes, run unit tests to make sure added customization passes the tests:

bash
cd $MAIN_DIRECTORY/deployment
chmod +x run-unit-tests.sh && ./run-unit-tests.sh

3. Build and Deploy

bash
cd $MAIN_DIRECTORY/source/constructs
npm run clean:install
overrideWarningsEnabled=false npx cdk bootstrap --profile <PROFILE_NAME>

## deploy lambda architecture stack
overrideWarningsEnabled=false npx cdk deploy v7-Stack\
 --parameters DeployDemoUIParameter=Yes\
  --parameters SourceBucketsParameter=<MY_BUCKET>\
   --profile <PROFILE_NAME>

## deploy ecs architecture stack (see ./source/constructs/lib/v8/README.md)
overrideWarningsEnabled=false npx cdk deploy v8-Stack --parameters AdminEmail=<MY_EMAIL>

Note:

  • MY_BUCKET: name of an existing bucket or the list of comma-separated bucket names in your account
  • PROFILE_NAME: name of an AWS CLI profile that has appropriate credentials for deploying in your preferred region
  • MY_EMAIL: email for the admin user who can configure origins, transformation policies and mappings

Collection of operational metrics

This solution sends operational metrics to AWS (the “Data”) about the use of this solution. We use this Data to better understand how customers use this solution and related services and products. AWS’s collection of this Data is subject to the AWS Privacy Notice.

External Contributors

  • @leviwilson for #117
  • @rpong for #130
  • @harriswong for #138
  • @ganey for #139
  • @browniebroke for #151, #152
  • @john-shaffer for #158
  • @toredash for #174, #195
  • @lith-imad for #194
  • @pch for #227
  • @atrope for #201, #202
  • @bretto36 for #182
  • @makoncline for #255
  • @frankenbubble for #302
  • @guidev for #309
  • @njtmead for #276
  • @StaymanHou for #320
  • @alenpaulvarghese for #392
  • @Fjool for #489
  • @fvsnippets for #373, #380
  • @ccchapman for #490
  • [@bennet-esyoil][https://github.com/bennet-esyoil] for #521
  • [@vaniyokk][https://github.com/vaniyokk] for #511
  • @ericbuehl for #463
  • @fvsnippets for #372
  • @markuscolourbox for #349
  • @madhubalaji for #476
  • @nicolasbuch for #569
  • @mrnonz for #567
  • @ilich for #574

License

Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
SPDX-License-Identifier: Apache-2.0

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PublishedAug 1, 2026
UpdatedSep 17, 2026
Category编程语言
PricingOpen source

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