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

1. 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

2. Change directory to the pattern directory:

   cd s3-sqs-lambda

3. Install dependencies

   npm --prefix ./src install ./src

4. 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

5. 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 use sam deploy in future to use these defaults.

6. 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

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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}

1. Delete the stack

   aws cloudformation delete-stack --stack-name STACK_NAME

2. Confirm the stack has been deleted

   aws cloudformation list-stacks --query "StackSummaries[?contains(StackName,'STACK_NAME')].StackStatus"

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