- Lab
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Working with AWS Roles Using AWS CloudFormation
Globomantics is a global healthcare organization that has been working in AWS for a while now. Recently, they have become concerned about the amount of mistakes that are being made as AWS roles are being manually created. Roles able to be assumed by the wrong AWS services and roles that give too much access are particularly of concern. You have been tasked with implementing a solution that will help: - Automate role provisioning and deprovisioning - Automate the process of making changes to role - Reduce the number of mistakes being made Having considered options, you have decided to recommend that Globomantics implement AWS CloudFormation. In this lab, you will: 1. Create a JSON template. 2. Use the template to create CloudFormation stacks. 3. Use CloudFormation to cleanly remove deployed resources.
Lab Info
Table of Contents
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Challenge
Create a CloudFormation Template
You will use the AWS CloudFormation editor to create a CloudFormation template and then save the new template locally.
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Challenge
Provision a New AWS Role
You will use your newly created template to create a CloudFormation stack that will provision a new AWS role.
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Challenge
Edit Your Template
You will make a simple change to your template that will then be used to update your stack.
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Challenge
Update Your Role
You will create a change set that will let you evaluate the change you want to make, before executing the change set to update your stack, which in turn will update your AWS role.
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Challenge
Deprovision Your Role
You will delete your CloudFormation stack. This will deprovision all the resources that the stack has deployed.
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