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Thumbnail Creator

This project contains source code and supporting files for a serverless application - Thumbnail Creator. This application creates a thumbnail for image, pdf, and video files once uploaded into an S3 bucket. See Usage section.

The application uses several AWS services including a Lambda function and S3 buckets with three custom Lambda Layers. These resources are defined in the template.yaml file in this project. You can update the template, e.g., change parameters' Default value and update your application.

Architecture

Overview

  1. Upload image, video, or pdf file to the S3 upload bucket
  2. Thumbnail files will be created and stored in the S3 result bucket

Lambda Function

  • app.py: Create a thumbnail for the image, pdf, and video file that uploaded to an S3 bucket
  • sharedutils: a custom Lambda Layer filetype - Python package to infer binary file types

Note: this application use below three custom Lambda Layers and you must deploy these Lambda Layers before deploy this application.

  1. ghostscript
  2. imagemagic
  3. ffmpeg

Deploy Thumbnail Creator application using CloudFormation stack

Step 1: Launch CloudFormation stack

Launch Stack

Click Next to continue

Step 2: Specify stack details

Name Description Example value
Stack name any valid stack name filethumbnail
ImageMagickLayer ImageMagick Lambda Layer ARN arn:aws:lambda:us-east-1:<account#>:layer:image-magick:1
GhostscriptLayer Ghostscript Lambda Layer ARN arn:aws:lambda:us-east-1:<account#>:layer:image-magick:1
FfmpegLayer Ffmpeg Lambda Layer ARN arn:aws:lambda:us-east-1:<account#>:layer:image-magick:1
ConversionFileType a valid file type jpg
ConversionMimeType a valid mime type image/jpeg
ThumbnailWidth a valid number 150

Step 3: Configure stack options

Leave it as is and click Next

Step 4: Review

Make sure all checkboxes under Capabilities section are CHECKED

Click Create stack

Deploy Thumbnail Creator application using SAM CLI

To use the SAM CLI, you need the following tools.

To build and deploy your application for the first time, run the following in your shell:

sam build --use-container

Above command will build the source of the application. The SAM CLI installs dependencies defined in requirements.txt, creates a deployment package, and saves it in the .aws-sam/build folder.

To package the application, run the following in your shell:

sam package --output-template-file packaged.yaml --s3-bucket BUCKETNAME --region us-east-1

Above command will package the application and upload it to the S3 bucket you specified.

Run the following in your shell to deploy the application to AWS:

sam deploy --template-file packaged.yaml --stack-name STACKNAME --s3-bucket BUCKETNAME \
 --parameter-overrides 'ImageMagickLayer=layerARN GhostscriptLayer=layerARN FfmpegLayer=layerARN ThumbnailWidth=150' \
 --capabilities CAPABILITY_IAM --region us-east-1

You should see the cloudformation resource like below Resources

Usage

  1. Upload files to the UploadBucket
  2. Thumbnail files will be created and stored in the ResultsBucket

Cleanup

To delete the sample application that you created, use the AWS CLI. Assuming you used your project name for the stack name, you can run the following:

aws cloudformation delete-stack --stack-name stackname