AWS Amazon S3 to SQS to AWS Lambda - Create a Lambda function that resizes images uploaded to S3 using SQS as a notification target
The SAM template deploys a Lambda function, an SQS queue, 2 S3 buckets and the IAM resources required to run the application. An SQS Queue consumes ObjectCreated
events from an Amazon S3 bucket if the file has .jpg extension. The SQS triggers a Lambda function. The Lambda code checks the uploaded file is an image and creates a thumbnail version of the image in another bucket.
Learn more about this pattern at Serverless Land Patterns: https://serverlessland.com/patterns/s3-sqs-lambda
Important: this application uses various AWS services and there are costs associated with these services after the Free Tier usage - please see the AWS Pricing page for details. You are responsible for any AWS costs incurred. No warranty is implied in this example.
- Create an AWS account if you do not already have one and log in. The IAM user that you use must have sufficient permissions to make necessary AWS service calls and manage AWS resources.
- AWS CLI installed and configured
- Git Installed
- AWS Serverless Application Model (AWS SAM) installed
-
Create a new directory, navigate to that directory in a terminal and clone the GitHub repository:
git clone https://github.com/aws-samples/serverless-patterns
-
Change directory to the pattern directory:
cd s3-sqs-lambda
-
Install dependencies
npm --prefix ./src install ./src
-
From the command line, use AWS SAM to build and deploy the AWS resources for the pattern as specified in the template.yml file:
sam build sam deploy --guided
-
During the prompts:
- Enter a stack name
- Enter a source bucket name
- Enter a destination bucket name
- Enter a queue name
- Enter the desired AWS Region
- Allow SAM CLI to create IAM roles with the required permissions.
Once you have run
sam deploy -guided
mode once and saved arguments to a configuration file (samconfig.toml), you can usesam deploy
in future to use these defaults. -
Note the outputs from the SAM deployment process. These contain the resource names and/or ARNs which are used for testing.
- Use the AWS CLI or AWS console to upload an image to the source S3 Bucket
- If the object is a .jpg the code creates a thumbnail and saves it to the target bucket.
- The code assumes that the destination bucket exists and its name is a concatenation of the source bucket name followed by the string -resized
==============================================
Run the following S3 CLI command to upload an image to the S3 bucket. Note, you must edit the {SourceBucketName} placeholder with the name of the source S3 Bucket. This is provided in the stack outputs.
aws s3 cp './events/exampleImage.png' s3://{SourceBucketName}
Run the following command to check that a new version of the image has been created in the destination bucket.
aws s3 ls s3://{DestinationBucketName}
- Delete the stack
aws cloudformation delete-stack --stack-name STACK_NAME
- Confirm the stack has been deleted
aws cloudformation list-stacks --query "StackSummaries[?contains(StackName,'STACK_NAME')].StackStatus"
Copyright 2021 Amazon.com, Inc. or its affiliates. All Rights Reserved.
SPDX-License-Identifier: MIT-0