Rain

• Documentation: https://aws-cloudformation.github.io/rain/

Rain is what happens when you have a lot of CloudFormation

Rain is also a command line tool for working with AWS CloudFormation templates and stacks.

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Key features

• Interactive deployments: With rain deploy, rain packages your CloudFormation templates, prompts you for any parameters that have not yet been defined, shows you a summary of the changes that will be made, and then displays real-time updates as your stack is being deployed. Once finished, you get a summary of the outcome along with any error messages collected along the way - including errors messages for stacks that have been rolled back and no longer exist.

• Consistent formatting of CloudFormation templates: Using rain fmt, you can format your CloudFormation templates to a consistent standard or reformat a template from JSON to YAML (or YAML to JSON if you prefer). Rain preserves your comments when using YAML and switches use of intrinsic functions to use the short syntax where possible.

• Combined logs for nested stacks with sensible filtering: When you run rain log, you will see a combined stream of logs from the stack you specified along with any nested stack associated with it. Rain also filters out uninteresting log messages by default so you just see the errors that require attention. You can also use rain log --chart to see a Gantt chart that shows you how long each operation took for a given stack.

• Build new CloudFormation templates: rain build generates new CloudFormation templates containing skeleton resources that you specify. This saves you having to look up which properties are available and which are required vs. optional. Build skeleton templates by specifying a resource name like AWS::S3::Bucket, or enable the Bedrock Claude model in your account to use generative AI with a command like rain build --prompt "A VPC with 2 subnets". (Note that Bedrock is not free, and requires some setup). NEW Use the rain build --recommend command to pick from a list of functional templates that will pass typical compliance checks by default. These templates are great starting points for infrastructure projects.

• Build policy validation files: The rain build command can now send prompts to the Bedrock Cloude3 Haiku and Sonnet models, which can write Open Policy Agent (OPA) Rego files or CloudFormation Guard files, to verify the compliance of your templates

• Manipulate CloudFormation stack sets: rain stackset deploy creates a new stackset, updates an existing one or adds a stack instance(s) to an existing stack set. You can list stack sets using rain stackset ls, review stack set details with rain stackset ls <stack set name> and delete stack set and\or its instances with rain stackset rm <stack set name>

• Predict deployment failures (EXPERIMENTAL): rain forecast analyzes a template and the target deployment account to predict things that might go wrong when you attempt to create, update, or delete a stack. This command speeds up development by giving you advanced notice for issues like missing permissions, resources that already exist, and a variety of other common resource-specific deployment blockers.

• Modules (EXPERIMENTAL): rain pkg supports client-side module development with the !Rain::Module directive. Rain modules are partial templates that are inserted into the parent template, with some extra functionality added to enable extending existing resource types. This feature integrates with CodeArtifact to enable package publish and install.

Note that in order to use experimental commands, you have to add --experimental or -x as an argument.

Getting started

If you have homebrew installed, brew install rain

Or you can download the appropriate binary for your system from the releases page.

Or if you're a Gopher, you can go install github.com/aws-cloudformation/rain/cmd/rain@latest

Usage:
  rain [command]

Stack commands:
  cat         Get the CloudFormation template from a running stack
  cc          Interact with templates using Cloud Control API instead of CloudFormation
  deploy      Deploy a CloudFormation stack or changeset from a local template
  logs        Show the event log for the named stack
  ls          List running CloudFormation stacks or changesets
  rm          Delete a CloudFormation stack or changeset
  stackset    This command manipulates stack sets.
  watch       Display an updating view of a CloudFormation stack

Template commands:
  bootstrap   Creates the artifacts bucket
  build       Create CloudFormation templates
  diff        Compare CloudFormation templates
  fmt         Format CloudFormation templates
  forecast    Predict deployment failures
  merge       Merge two or more CloudFormation templates
  module      Interact with Rain modules in CodeArtifact
  pkg         Package local artifacts into a template
  tree        Find dependencies of Resources and Outputs in a local template

Other Commands:
  console     Login to the AWS console
  help        Help about any command
  info        Show your current configuration

You can find shell completion scripts in docs/bash_completion.sh and docs/zsh_completion.sh.

Contributing

Rain is written in Go and uses the AWS SDK for Go v2.

To contribute a change to Rain, fork this repository, make your changes, and submit a Pull Request.

Go Generate

The README.md, documentation in docs/, the auto completion scripts and a copy of the cloudformation specification in cft/spec/cfn.go are generated through go generate.

License

Rain is licensed under the Apache 2.0 License.

Example Usage

Packaging

The rain pkg command can be used as a replacement for the aws cloudformation package CLI command. When packaging a template, rain looks for specific directives to appear in resources.

Embed

The !Rain::Embed directive simply inserts the contents of a file into the template as a string.

The template:

Resources:
  Test:
    Type: AWS::CloudFormation::WaitConditionHandle
    Metadata:
      Comment: !Rain::Embed embed.txt

The contents of embed.txt, which is in the same directory as the template:

This is a test

The resulting packaged template:

Resources:
  Test:
    Type: AWS::CloudFormation::WaitConditionHandle
    Metadata:
      Comment: This is a test

Include

The !Rain::Include directive parses a YAML or JSON file and inserts the object into the template.

The template:

Resources:
  Test:
    !Rain::Include include-file.yaml

The file to be included:

Type: AWS::S3::Bucket
Properties:
  BucketName: test

The resulting packaged template:

Resources:
  Test:
    Type: AWS::S3::Bucket
    Properties:
      BucketName: test

Env

The !Rain::Env directive reads environment variables and inserts them into the template as strings.

The template:

Resources:
  Test:
    Type: AWS::S3::Bucket
    Properties:
      BucketName: !Rain::Env BUCKET_NAME

The resulting packaged template, if you have exported an environment variable named BUCKET_NAME with value abc:

Resources:
  Test:
    Type: AWS::S3::Bucket
    Properties:
      BucketName: abc

S3Http

The !Rain::S3Http directive uploads a file or directory to S3 and inserts the HTTPS URL into the template as a string.

The template:

Resources:
  Test:
    Type: A::B::C
    Properties:
      TheS3URL: !Rain::S3Http s3http.txt

If you have a file called s3http.txt in the same directory as the template, rain will use your current default profile to upload the file to the artifact bucket that rain creates as a part of bootstrapping. If the path provided is a directory and not a file, the directory will be zipped first.

Resources:
  Test:
    Type: A::B::C
    Properties:
      TheS3URL: https://rain-artifacts-012345678912-us-east-1.s3.us-east-1.amazonaws.com/a84b588aa54068ed4b027b6e06e5e0bb283f83cf0d5a6720002d36af2225dfc3

S3

The !Rain::S3 directive is basically the same as S3Http, but it inserts the S3 URI instead of an HTTPS URL.

The template:

Resources:
  Test:
    Type: A::B::C
    Properties:
      TheS3URI: !Rain::S3 s3.txt

If you have a file called s3.txt in the same directory as the template, rain will use your current default profile to upload the file to the artifact bucket that rain creates as a part of bootstrapping. If the path provided is a directory and not a file, the directory will be zipped first.

Resources:
  Test:
    Type: A::B::C
    Properties:
      TheS3URI: s3://rain-artifacts-755952356119-us-east-1/a84b588aa54068ed4b027b6e06e5e0bb283f83cf0d5a6720002d36af2225dfc3 

If instead of providing a path to a file, you supply an object with properties, you can exercise more control over how the object is uploaded to S3. The following example is a common pattern for uploading Lambda function code.

Resources:
  MyFunction:
    Type: AWS::Lambda::Function
    Properties:
      Code: !Rain::S3 
        Path: lambda-src 
        Zip: true
        BucketProperty: S3Bucket
        KeyProperty: S3Key

The packaged template:

Resources:
  MyFunction:
    Type: AWS::Lambda::Function
    Properties:
      Code:
        S3Bucket: rain-artifacts-012345678912-us-east-1
        S3Key: 1b4844dacc843f09941c11c94f80981d3be8ae7578952c71e875ef7add37b1a7

Module

The !Rain::Module directive is an experimental feature that allows you to create local modules of reuseable code that can be inserted into templates. A rain module is similar in some ways to a CDK construct, in that a module can extend existing resources, allowing the user of the module to override properties. For example, your module could extend an S3 bucket to provide a default implementation that passes static security scans. Users of the module would inherit these best practices by default, but they would still have the ability to configure any of the original properties on AWS::S3::Bucket, in addition to the properties defined as module parameters.

In order to use this feature, you have to acknowledge that it's experimental by adding a flag on the command line:

rain pkg -x my-template.yaml

Keep in mind that with new versions of rain, this functionality could change, so use caution if you decide to use this feature for production applications. The rain pkg command does not actually deploy any resources if the template does not upload any objects to S3, so you always have a chance to review the packaged template. It's recommended to run linters and scanners on the packaged template, rather than a pre-processed template that makes use of these advanced directives.

A sample module:

Description: |
  This module extends AWS::S3::Bucket

Parameters:
  LogBucketName:
    Type: String

Resources:
  Bucket:
    Type: AWS::S3::Bucket
    Properties:
      LoggingConfiguration:
        DestinationBucketName: !Ref LogBucket
      BucketEncryption:
        ServerSideEncryptionConfiguration:
          - ServerSideEncryptionByDefault:
             SSEAlgorithm: AES256
      PublicAccessBlockConfiguration:
        BlockPublicAcls: true
        BlockPublicPolicy: true
        IgnorePublicAcls: true
        RestrictPublicBuckets: true
      Tags:
        - Key: test-tag
          Value: test-value1

  LogBucket:
    Type: AWS::S3::Bucket
    DeletionPolicy: Retain
    Properties:
      BucketName: !Ref LogBucketName
      BucketEncryption:
        ServerSideEncryptionConfiguration:
          - ServerSideEncryptionByDefault:
              SSEAlgorithm: AES256
      VersioningConfiguration:
        Status: Enabled
      PublicAccessBlockConfiguration:
        BlockPublicAcls: true
        BlockPublicPolicy: true
        IgnorePublicAcls: true
        RestrictPublicBuckets: true

Note that we defined a single parameter to the module called LogBucketName. In the module, we create an additional bucket to hold logs, and we apply the name to that bucket. In the template that uses the module, we specify that name as a property. This shows how we have extended the basic behavior of a bucket to add something new.

A template that uses the module (in this example we reference a local module, but it's also possible to reference a URL):

Resources:
  ModuleExample:
    Type: !Rain::Module "./bucket-module.yaml"
    Properties:
      LogBucketName: test-module-log-bucket
    Overrides:
      Bucket:
        UpdateReplacePolicy: Delete
        Properties:
          VersioningConfiguration:
            Status: Enabled
          Tags:
            - Key: test-tag
              Value: test-value2

Note that in addition to supplying the expected LogBucketName property, we have also decided to override a few of the properties on the underlying AWS::S3::Bucket resource, which shows the flexibility of the inheritance model.

The resulting template after running rain pkg:

Resources:
  ModuleExampleBucket:
    Type: AWS::S3::Bucket
    Properties:
      LoggingConfiguration:
        DestinationBucketName: !Ref ModuleExampleLogBucket
      BucketEncryption:
        ServerSideEncryptionConfiguration:
          - ServerSideEncryptionByDefault:
              SSEAlgorithm: AES256
      PublicAccessBlockConfiguration:
        BlockPublicAcls: true
        BlockPublicPolicy: true
        IgnorePublicAcls: true
        RestrictPublicBuckets: true
      Tags:
        - Key: test-tag
          Value: test-value2
      VersioningConfiguration:
        Status: Enabled

  ModuleExampleLogBucket:
    DeletionPolicy: Retain
    Type: AWS::S3::Bucket
    Properties:
      BucketName: test-module-log-bucket
      BucketEncryption:
        ServerSideEncryptionConfiguration:
          - ServerSideEncryptionByDefault:
              SSEAlgorithm: AES256
      VersioningConfiguration:
        Status: Enabled
      PublicAccessBlockConfiguration:
        BlockPublicAcls: true
        BlockPublicPolicy: true
        IgnorePublicAcls: true
        RestrictPublicBuckets: true

Module package publishing

Rain integrates with AWS CodeArtifact to enable an experience similar to npm publish and install. A directory that includes Rain module YAML files can be packaged up with rain module publish, and then the package can be installed by developers with rain module install.

Gantt Chart

Output a chart to an HTML file that you can view with a browser to look at how long stack operations take for each resource.

rain log --chart CDKToolkit > ~/Desktop/chart.html

Pkl

You can now write CloudFormation templates in Apple's new configuration language, Pkl. Rain commands that accept input as JSON or YAML now also accept files with the .pkl extension. We host a Pkl package in a separate repo that is generated based on the CloudFormation registry. This package has classes that can be imported for each registry resource type, in addition to higher level patterns. This allows you to write a type-safe template and create your own client-side modules, in a way that is similar to CDK, but with declarative code.

Example Pkl template:

amends "package://github.com/aws-cloudformation/cloudformation-pkl/releases/download/cloudformation@0.1.1/cloudformation@0.1.1#/template.pkl"
import "package://github.com/aws-cloudformation/cloudformation-pkl/releases/download/cloudformation@0.1.1/cloudformation@0.1.1#/cloudformation.pkl" as cfn
import "package://github.com/aws-cloudformation/cloudformation-pkl/releases/download/cloudformation@0.1.1/cloudformation@0.1.1#/aws/s3/bucket.pkl" as bucket

Description = "Create a bucket"

Parameters {
    ["Name"] {
        Type = "String"
        Default = "baz"
    }
}

Resources {
    ["MyBucket"] = new bucket.Bucket {
        BucketName = cfn.Ref("Name")
    }
}

Other CloudFormation tools

• cfn-lint

  Validate CloudFormation yaml/json templates against the CloudFormation spec and additional checks. Includes checking valid values for resource properties and best practices.

• cfn-guard

  Guard is a policy evaluation tool that allows you to build your own rules with a custom DSL. You can also pull rules from the guard registry to scan your templates for resources that don't comply with common best practices.

• taskcat

  taskcat is a tool that tests AWS CloudFormation templates. It deploys your AWS CloudFormation template in multiple AWS Regions and generates a report with a pass/fail grade for each region. You can specify the regions and number of Availability Zones you want to include in the test, and pass in parameter values from your AWS CloudFormation template. taskcat is implemented as a Python class that you import, instantiate, and run.

Are we missing an excellent tool? Let us know via a GitHub issue.