Using AWS Lambda and CloudFront to optimize image handling

Table of Contents

1. Initializing a new CDK project
2. Creating a type for the CDK project
3. Creating an S3 bucket
4. Setting up CloudFront distribution
5. Implementing image processing with Lambda function
6. Deploying the AWS Lambda and CloudFront project

Initializing a new CDK project

To initialize a new CDK project for image optimization with Lambda and CloudFront, first, create a new directory and then initialize the CDK project in your preferred code editor.

Creating a type for the CDK project

For this CDK app project, create a basic context file to hold the type and add the necessary code to define a global variable for the project.

Creating an S3 bucket

Creating an S3 bucket using CDK simplifies the process of setting up storage for images and assets. This bucket will be used as the source for the CloudFront distribution, enabling access to cached images.

Setting up CloudFront distribution

Create a CloudFront distribution with the origin source set to the S3 bucket. Add caching behaviors for specific paths to optimize image delivery and performance.

Implementing image processing with Lambda function

Utilize the sharp library within a Node.js Lambda function for efficient image processing. Add dependencies, write code to process images on-the-fly, resize images, and upload them to the S3 bucket.

Deploying the AWS Lambda and CloudFront project

Create a deployment script to deploy the entire infrastructure, including the Lambda function and CloudFront distribution, to the cloud. Ensure to update the bucket policy accordingly before running the deployment script.