This workflow << explain usage >>
Learn more about this workflow at Step Functions workflows collection: << Add the live URL here >>
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/step-functions-workflows-collection
-
Change directory to the pattern directory:
cd step-functions-workflows-collection/_workflow-model
-
From the command line, use AWS SAM to deploy the AWS resources for the workflow as specified in the template.yaml file:
sam deploy --guided
-
During the prompts:
- Enter a stack 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.
Explain how the workflow works.
Provide an exported .png of the workflow in the /resources
directory from Workflow stuio and add here.
Provide steps to trigger the workflow and show what should be observed if successful.
- 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"
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SPDX-License-Identifier: MIT-0