AWS Solutions Architect Project (Operational Excellence Pillar) – Real-time Operation – Part 3

by Ichwan Chandra

As we have previously configured the role for our role chatbot with AWS Lambda full access, then in this part we’ll setup a simple Lambda function to allow Slack users to trigger a command.

Step 1: Setup Lambda Function

  • Visit AWS Lambda Console
  • Click Create function
    • Choose Author from scratch Provide:
      • Function name: RestartLambdaFn
      • Runtime: Python 3.14

Now choose the Code Source tab and replace the code with below code snippet:

def lambda_handler(event, context):
    return {
        'statusCode': 200,
        'body': 'Lambda triggered from Slack via AWS Chatbot.'
    }

Then click Deploy

Step 2: Setup Permissions for Chatbot Invoking Lambda Function

  • Visit IAM Console
  • Find the IAM role used by iour AWS Chatbot setup named awschatbot-role
  • Open the role, and scroll down to the Permissions policies section.
    • Click Add permissions > Create inline policy.
    • Choose the JSON tab, and paste this policy:
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": "lambda:*",
      "Resource": "*"
    }
  ]
}

Click Next, and give the policy name AllowInvokeRestartLambda

And finally, click “Create Policy”

Step 4: Invoke Lambda Function from Slack

Make sure we have invited Amazon Q to the new-channel by using this message:

/invite @Amazon Q

Then we can try to invoke Lambda function using this command form the message bar:

@Amazon Q lambda list-functions --region us-east-1

Next, we can try to trigger the lambda RestartLambdaFn function we created earlier by using this command via Slack message

@Amazon Q lambda invoke --function-name RestartLambdaFn --payload '{}'

If everything is setup as above, we’ll see the response in Slack confirming the success as below

Summary

In this chapter, we have setup a lambda function that can be triggered from Slack while it was enabled through the IAM permissions applied on the AWS Q (chatbot).

In the next chapter, we will deploy a read-only dashboard using CloudFormation which can be used as the front-end visual aid for the operational and observation.