This sample application demonstrate how to create a solution to developer teams consume IaC Products, like a "Vending Machine", to automated deploy cloud service in their AWS Accounts without open a ticket or request in IT department.

In other hand, the CCoE teams or SysOps administrators can create Cloud Products, for example, a .NET application running in ECS, Fargate and a CI/CD pipelines or operational products, like a VPC with a Transit Gateway Peering.

The Vending Machine was build using AWS Serverless components, a low cost and an easy application to support

DO NOT USE THIS SOLUTION TO CREATE A CONSOLE OVER THE AWS CONSOLE!

This sample code is made available under a modified MIT license. See the LICENSE file.

Dependencies

• AWS Accounts (you can adapt this sample to run in only one account, but it is recommended two or more accounts with AWS Organization enabled);
• The AWS CLI version 1 or 2;
• if you have 2 or more accounts, you need deploy permissions to run Stack Set operation
• npm 7.20.3

Install

First clone this repo:

git clone https://github.com/aws-samples/aws-serverless-vending-machine

Deploy the Stack file scripts/deployServerlessVendingMachine.yaml at the end check the Stack Outputs to follow the instalation process.

The next step is edit the App.js file to change the REST API endpoint:

API: {
     endpoints: [
         {
             name: "VendingMachine-API",

             //CHANGE HERE THE VENDING MACHINE API
             endpoint: "https://RESTAPIID.execute-api.sa-east-1.amazonaws.com/default",

             custom_header: async () => {
                return { Authorization: `Bearer ${(await Auth.currentSession()).getIdToken().getJwtToken()}` }
             }
         }
     ]
 }

Go to Front-end directory and run the follow commands:

cd site/vendingmachineapp/
npm install
npm run build

Go to the build folder and copy files to S3, there is a S3VendingMachineSiteBucket variable in the Stack Outputs, get the S3 bucket name and use in theses commands:

cd build
aws s3 rm s3://...-cloudfrontauthorizationedge-.... —recursive
aws s3 cp . s3://...cloudfrontauthorizationedge-.... —recursive

And now just open the Vending Machine Website. You can get the VM URL on the VendingMachineUrl variable in the Stack Output.

There are more information to add Products in the folder samples.

See CONTRIBUTING for more information.

This library is licensed under the MIT-0 License. See the LICENSE file.