AWS CloudFormation Overview
AWS CloudFormation guarantees that the dependent resources in your model are all created in the correct order. For example, let’s say we want to create a DNS record Route53 and an instance of EC2 with the DNS record assigned to the instance of EC2. CloudFormation will be responsible for provisioning the EC2 instance first, waiting for it to be ready and then creating the DNS record later.
Templates for AWS Resource Creation
You can use AWS CloudFormation sample models or create your own templates to describe AWS features and any dependencies or associated runtime parameters needed to run the application. You do not need to figure out the order in which AWS services need to be provisioned or the subtleties of how to make these dependencies work. CloudFormation takes care of it for you. Once implemented, you can modify and update AWS resources in a controlled and predictable manner, allowing you to control the version of your AWS infrastructure in the same way you control the software
AWS CloudFormation Concepts
An AWS model CloudFormation is a text file formatted in the JSON or YAML language that describes your AWS infrastructure. To create, view and modify templates, you can use AWS CloudFormation Designer or any text editing tool. An AWS CloudFormation model consists of nine main objects:
- Version format: The format version defines the capacity of a template.
- Description: Any comment about your model can be specified in the description.
- Metadata: The metadata can be used in the model to provide additional information through JSON or YAML objects.
- Parameters: Templates can be customized using parameters. Each time you create or update your stack, the parameters help to provide custom values to the model at run time.
- Assignments: The assignment allows you to assign keys to a corresponding name value that you specify in a conditional parameter.
- Mapping: In addition, you can retrieve values on a map using the intrinsic function “Fn :: FindInMap”.
- Conditions: In a template, the conditions define whether certain resources are created or when the properties of the resource are assigned to value during the creation or update of the stack. The conditions can be used when you want to reuse the models by creating resources in different contexts. You can use intrinsic functions to define conditions
- Transform: Transform creates a simple declarative language for AWS CloudFormation and allows the reuse of template components. Here, you can declare a single transformation or several transformations within a model.
- Resources: Using this section, you can declare the AWS function that you want to create and specify on the stack, such as an Amazon S3 speaker or AWS Lambda.
- Output: In a template, the output section describes the output values that can be imported to other stacks or the values returned when their own stack properties are displayed. For example, for an S3 bucket name, you can declare an exit and use the “Description-stacks” command of the AWS CloudFormation service to make it easier to locate the bucket name.
Benefits of AWS CloudFormation
Model it all
AWS CloudFormation allows the user to model the entire user’s infrastructure during a document. This model becomes the only true supply for the user’s infrastructure. This helps the user to standardize the pieces of infrastructure used throughout the user’s organization, compliance with the optional configuration and faster problem resolution.
Automate & Deploy
Amazon CloudForation Provisions User characteristics during insurance without the need to perform manual actions or write custom scripts in a repeatable manner allowing the user to create and build the user’s infrastructure and applications. CloudFormation is responsible for determining the correct operations to be performed as soon as they are administered. The user stack will reverse the changes automatically if errors are detected.
It’s Simply Code
The coding of the user’s infrastructure allows the user to treat the user’s infrastructure simply as a code. The user can create it with any code editor, check it in a versioning system and review the files with the members of the team before implementing it in production.