This is a sample template for a serverless AWS Lambda application, written in Python.
The application does image processing; images deposited in the "Uploaded Images" S3 bucket are resized to thumbnails, which are then added to the "Processed Images" bucket.
The application architecture is defined in template.yaml, a Serverless Application Model (SAM) template which can be managed through the Stackery UI at app.stackery.io.
Here is an overview of the files:
.
├── README.md <-- This README file
├── src <-- Source code dir for all AWS Lambda functions
│ └── imageProcessor <-- Source code dir for imageProcessor function
│ ├── requirements.txt <-- Python pip dependencies
│ └── handler.py <-- Lambda imageProcessor function code
│ ├── .stackery-config.yaml <-- Default CLI parameters for this directory
├── .stackery-config.yaml <-- Default CLI parameters for root directory
└── template.yaml <-- SAM infrastructure-as-code template
Clone this stack in Stackery, deploy it, and test it as follows:
- In the Stackery dashboard's "Deployments" tab, click on the S3 bucket resource named "Uploaded Images". Click on the bucket's ARN to view the AWS S3 Management Console for the bucket. Upload a large image. Use the same procedure to find the "Processed Images" bucket in the S3 Management Console and look for the resized image.