Skip to main content

CDK Constructs for AWS CloudFormation

Project description

AWS CloudFormation Construct Library


Stability: Stable


This module is part of the AWS Cloud Development Kit project.

Custom Resources

Custom Resources are CloudFormation resources that are implemented by arbitrary user code. They can do arbitrary lookups or modifications during a CloudFormation synthesis run.

You will typically use Lambda to implement a Construct implemented as a Custom Resource (though SNS topics can be used as well). Your Lambda function will be sent a CREATE, UPDATE or DELETE message, depending on the CloudFormation life cycle. It will perform whatever actions it needs to, and then return any number of output values which will be available as attributes of your Construct. In turn, those can be used as input to other Constructs in your model.

In general, consumers of your Construct will not need to care whether it is implemented in term of other CloudFormation resources or as a custom resource.

Note: when implementing your Custom Resource using a Lambda, use a SingletonLambda so that even if your custom resource is instantiated multiple times, the Lambda will only get uploaded once.


The following shows an example of a declaring Custom Resource that copies files into an S3 bucket during deployment (the implementation of the actual Lambda handler is elided for brevity).

# Example may have issues. See

class CopyOperation(Construct):
    def __init__(self, parent, name, *, sourceBucket, targetBucket):
        super().__init__(parent, name)

        lambda_provider = lambda.SingletonFunction(self, "Provider",

        CustomResource(self, "Resource",
                "source_bucket_arn": source_bucket.bucket_arn,
                "target_bucket_arn": target_bucket.bucket_arn

The aws-cdk-examples repository has examples for adding custom resources.


See the following section of the docs on details to write Custom Resources:

Nested Stacks

Nested stacks are stacks created as part of other stacks. You create a nested stack within another stack by using the NestedStack construct.

As your infrastructure grows, common patterns can emerge in which you declare the same components in multiple templates. You can separate out these common components and create dedicated templates for them. Then use the resource in your template to reference other templates, creating nested stacks.

For example, assume that you have a load balancer configuration that you use for most of your stacks. Instead of copying and pasting the same configurations into your templates, you can create a dedicated template for the load balancer. Then, you just use the resource to reference that template from within other templates.

The following example will define a single top-level stack that contains two nested stacks: each one with a single Amazon S3 bucket:

# Example may have issues. See
from aws_cdk.core import Stack, Construct, StackProps
import aws_cdk.aws_cloudformation as cfn
import aws_cdk.aws_s3 as s3

class MyNestedStack(cfn.NestedStack):
    def __init__(self, scope, id, props):
        super().__init__(scope, id, props)

        s3.Bucket(self, "NestedBucket")

class MyParentStack(Stack):
    def __init__(self, scope, id, *, description=None, env=None, stackName=None, tags=None):
        super().__init__(scope, id, description=description, env=env, stackName=stackName, tags=tags)

        MyNestedStack(scope, "Nested1")
        MyNestedStack(scope, "Nested2")

Resources references across nested/parent boundaries (even with multiple levels of nesting) will be wired by the AWS CDK through CloudFormation parameters and outputs. When a resource from a parent stack is referenced by a nested stack, a CloudFormation parameter will automatically be added to the nested stack and assigned from the parent; when a resource from a nested stack is referenced by a parent stack, a CloudFormation output will be automatically be added to the nested stack and referenced using Fn::GetAtt "Outputs.Xxx" from the parent.

Nested stacks also support the use of Docker image and file assets.

Project details

Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for, version 1.13.0
Filename, size File type Python version Upload date Hashes
Filename, size aws_cdk.aws_cloudformation-1.13.0-py3-none-any.whl (94.0 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size (97.8 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page