Resize S3 Images on the Fly with AWS Lambda and Amazon API Gateway: Solving the Problem of Too Many Redirects for HTML IMG Tag

Resize S3 Images on the Fly with AWS Lambda and Amazon API Gateway: Solving the Problem of Too Many Redirects for HTML IMG Tag

In this post, we will address a common issue faced by data scientists and software engineers alike when working with AWS services: too many redirects for the HTML <img class="blog-image"> tag when trying to resize S3 images on the fly with AWS Lambda and Amazon API Gateway. We will provide a step-by-step guide to solving this issue, making your image processing tasks more efficient and less error-prone.

Understanding the Issue

When you implement on-the-fly image resizing using AWS Lambda and Amazon API Gateway, you might encounter an excessive number of redirects for the HTML <img class="blog-image"> tag. This can be due to misconfiguration or a loop in the request-response cycle.

Prerequisites

Before we delve into the solution, ensure you have:

• An AWS account
• Basic knowledge of AWS Lambda, Amazon S3, and API Gateway
• Familiarity with Node.js (our Lambda function will be written in Node.js)

Step-by-step Solution

Step 1: Create an AWS Lambda Function

Firstly, let’s create a Lambda function that resizes images. Go to the AWS Lambda console, click on Create function and give it a name like resizeImage. Choose Node.js as the runtime.

In the function code section, use the sharp library for resizing:

const AWS = require('aws-sdk');
const S3 = new AWS.S3();
const Sharp = require('sharp');

exports.handler = async (event) => {
    const bucket = event.Records[0].s3.bucket.name;
    const key = decodeURIComponent(event.Records[0].s3.object.key.replace(/\+/g, ' '));
    const params = {Bucket: bucket, Key: key};
    const input = await S3.getObject(params).promise();
    
    const resizedImage = await Sharp(input.Body)
        .resize(200, 200)
        .toBuffer();

    await S3.putObject({
        Body: resizedImage,
        Bucket: bucket,
        ContentType: 'image/png',
        Key: `${key}-resized`,
    }).promise();
};

This function will resize incoming images to 200x200 pixels and save them with a -resized suffix.

Step 2: Create an Amazon API Gateway

Go to the Amazon API Gateway console, click on Create API, select REST API and give it a name like resizeAPI.

Add a new GET method. For the integration type, select Lambda Function and specify resizeImage as the Lambda function.

Step 3: Configure API Gateway Response

To avoid the too many redirects issue, configure the API Gateway response. In the Method Response section, add a new HTTP status 200. In the Integration Response section, add a header mapping. Specify Content-Type for the header and 'image/png' for the value.

Step 4: Test the Solution

Upload an image to your S3 bucket. The Lambda function should automatically resize the image. You can then use the API Gateway URL to access the resized image. The URL should look like: https://<api-id>.execute-api.<region>.amazonaws.com/<stage>/<imageName>-resized.

Conclusion

By following these steps, you can efficiently resize S3 images on the fly using AWS Lambda and Amazon API Gateway, while avoiding the issue of too many redirects for the HTML <img class="blog-image"> tag. This solution not only streamlines your image processing tasks but also enhances your application’s performance by reducing the image size and the load time.

Keywords

AWS Lambda, Amazon S3, Amazon API Gateway, Image Resizing, Too Many Redirects, HTML <img class="blog-image"> Tag, Node.js, Sharp Library, REST API.

Meta Description

Learn how to resize S3 images on the fly using AWS Lambda and Amazon API Gateway, and solve the problem of too many redirects for the HTML <img class="blog-image"> tag.

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