# Manage a Container Task (Amazon ECS, Amazon SNS)

This sample project demonstrates how to run an AWS Fargate task, and then send an Amazon SNS notification based on whether that job succeeds or fails. Deploying this sample project will create an AWS Step Functions state machine, a Fargate cluster, and an Amazon SNS topic.

In this project, Step Functions uses a state machine to call the Fargate task synchronously. It then waits for the task to succeed or fail, and it sends an Amazon SNS topic with a message about whether the job succeeded or failed.
* A Fargate task
* An Amazon SNS topic
* AWS Step Function
* Related AWS Identity and Access Management (IAM) roles

Learn more about this workflow at Step Functions workflows collection: https://docs.aws.amazon.com/step-functions/latest/dg/sample-project-container-task-notification.html

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](https://aws.amazon.com/pricing/) for details. You are responsible for any AWS costs incurred. No warranty is implied in this example.

## Requirements

* [Create an AWS account](https://portal.aws.amazon.com/gp/aws/developer/registration/index.html) 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](https://docs.aws.amazon.com/cli/latest/userguide/install-cliv2.html) installed and configured
* [Git Installed](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)
* [AWS Serverless Application Model](https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/serverless-sam-cli-install.html) (AWS SAM) installed

## Deployment Instructions

1. 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
    ```
1. Change directory to the pattern directory:
    ```
    cd sfn-manage-container-task-tf
    ```
1. From the command line, use Terraform to deploy the AWS resources for the workflow as specified in the ```main.tf``` file:
    ```
    terraform init
    terraform apply
    ```
1. Note the outputs from the Terraform deployment process. These contain the resource names and ARNs which are used for testing.

## How it works

This sample project demonstrates how to submit an AWS Batch job, and then send an Amazon SNS notification based on whether that job succeeds or fails. Deploying this sample project creates an AWS Step Functions state machine, an AWS Batch job, and an Amazon SNS topic.

In this project, Step Functions uses a state machine to call the AWS Batch job synchronously. It then waits for the job to succeed or fail, and it sends an Amazon SNS topic with a message about whether the job succeeded or failed.

## Image

![image](./resources/statemachine.png)

## Testing


Manually trigger the workflow via the Console or the AWS CLI.  The state machine ARN can be found as the ```state_machine_arn``` output and the state machine name can be found as ```state_machine_name``` in the output.

To trigger the workflow in the console, navigate to Step Functions and then click the step function name from the list of State Machines.  In the Executions panel, click Start Execution.  Click Start Execution again in the popup.  No additional input is required.

## Cleanup
 
1. Delete the stack
    ```bash
    terraform destroy
    ```
1. During the prompts:
    ```bash
    Do you really want to destroy all resources?
    Terraform will destroy all your managed infrastructure, as shown above.
    There is no undo. Only 'yes' will be accepted to confirm.

    Enter a value: Yes
    ```
----
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