First, we will setup the initial state, including the integrating of the Unicorn Management Service (leveraging Amazon API Gateway and AWS Lambda), the Rides Store (leveraging Amazon DynamoDB) and all 3 backend services (leveraging AWS Lambda).
Browse to your AWS Cloud9 Console and select the environment called WildRydesAsyncMessaging.
We provide you with an AWS SAM template which we will use to bootstrap the initial state. In the bash tab (at the bottom) in you AWS Cloud9 IDE, run the following commands to build the lab code:
cd ~/environment/wild-rydes-async-messaging/lab-2 sam build
Now we are ready to deploy the application, by running the following command in the lab-2 directory:
export AWS_REGION=$(aws --profile default configure get region) sam deploy \ --stack-name wild-rydes-async-msg-2 \ --capabilities CAPABILITY_IAM \ --region $AWS_REGION \ --guided
Confirm the first 4 proposed arguments by hitting ENTER. When you get asked SubmitRideCompletionFunction may not have authorization defined, Is this okay? [y/N]:, enter
y and hit ENTER again 2 times.
It takes usually 4 minutes until the stack launched. You can monitor the progress of the wild-rydes-async-msg-2 stack in your SAM CLI or your AWS CloudFormation Console. When the stack is launched, the status will change from CREATE_IN_PROGRESS to CREATE_COMPLETE.
In the meantime while your waiting, you may want to have a look at the AWS SAM template to make yourself familiar with the stack we launched. Just click on the template.yaml attachment below to see the content.