AWS Cloud Development Kit Library

The AWS CDK construct library provides APIs to define your CDK application and add
CDK constructs to the application.

Usage

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When upgrading from CDK 1.x, remove all dependencies to individual CDK packages
from your dependencies file and follow the rest of the sections.

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To use this package, you need to declare this package and the constructs package as
dependencies.

According to the kind of project you are developing:

For projects that are CDK libraries in NPM, declare them both under the devDependencies and peerDependencies sections.
To make sure your library is compatible with the widest range of CDK versions: pick the minimum aws-cdk-lib version
that your library requires; declare a range dependency with a caret on that version in peerDependencies, and declare a
point version dependency on that version in devDependencies.

For example, let's say the minimum version your library needs is 2.38.0. Your package.json should look like this:

``javascript
{
"peerDependencies": {
"aws-cdk-lib": "^2.38.0",
"constructs": "^10.0.0"
},
"devDependencies": {
/ Install the oldest version for testing so we don't accidentally use features from a newer version than we declare /
"aws-cdk-lib": "2.38.0"
}
}
`

For CDK apps, declare them under the dependencies section. Use a caret so you always get the latest version:

`json
{
"dependencies": {
"aws-cdk-lib": "^2.38.0",
"constructs": "^10.0.0"
}
}
`

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#### Classic import

You can use a classic import to get access to each service namespaces:

`ts nofixture
import { Stack, App, aws_s3 as s3 } from 'aws-cdk-lib';

const app = new App();
const stack = new Stack(app, 'TestStack');

new s3.Bucket(stack, 'TestBucket');
`

#### Barrel import

Alternatively, you can use "barrel" imports:

`ts nofixture
import { App, Stack } from 'aws-cdk-lib';
import { Bucket } from 'aws-cdk-lib/aws-s3';

const app = new App();
const stack = new Stack(app, 'TestStack');

new Bucket(stack, 'TestBucket');
`

Stacks and Stages

A Stack is the smallest physical unit of deployment, and maps directly onto
a CloudFormation Stack. You define a Stack by defining a subclass of Stack
-- let's call it MyStack -- and instantiating the constructs that make up
your application in MyStack's constructor. You then instantiate this stack
one or more times to define different instances of your application. For example,
you can instantiate it once using few and cheap EC2 instances for testing,
and once again using more and bigger EC2 instances for production.

When your application grows, you may decide that it makes more sense to split it
out across multiple Stack classes. This can happen for a number of reasons:

- You could be starting to reach the maximum number of resources allowed in a single
stack (this is currently 500).
- You could decide you want to separate out stateful resources and stateless resources
into separate stacks, so that it becomes easy to tear down and recreate the stacks
that don't have stateful resources.
- There could be a single stack with resources (like a VPC) that are shared
between multiple instances of other stacks containing your applications.

As soon as your conceptual application starts to encompass multiple stacks,
it is convenient to wrap them in another construct that represents your
logical application. You can then treat that new unit the same way you used
to be able to treat a single stack: by instantiating it multiple times
for different instances of your application.

You can define a custom subclass of Stage, holding one or more
Stacks, to represent a single logical instance of your application.

As a final note: Stacks are not a unit of reuse. They describe physical
deployment layouts, and as such are best left to application builders to
organize their deployments with. If you want to vend a reusable construct,
define it as a subclasses of Construct: the consumers of your construct
will decide where to place it in their own stacks.

Stack Synthesizers

Each Stack has a synthesizer, an object that determines how and where
the Stack should be synthesized and deployed. The synthesizer controls
aspects like:

- How does the stack reference assets? (Either through CloudFormation
parameters the CLI supplies, or because the Stack knows a predefined
location where assets will be uploaded).
- What roles are used to deploy the stack? These can be bootstrapped
roles, roles created in some other way, or just the CLI's current
credentials.

The following synthesizers are available:

- DefaultStackSynthesizer: recommended. Uses predefined asset locations and
roles created by the modern bootstrap template. Access control is done by
controlling who can assume the deploy role. This is the default stack
synthesizer in CDKv2.
- LegacyStackSynthesizer: Uses CloudFormation parameters to communicate
asset locations, and the CLI's current permissions to deploy stacks. This
is the default stack synthesizer in CDKv1.
- CliCredentialsStackSynthesizer: Uses predefined asset locations, and the
CLI's current permissions.

Each of these synthesizers takes configuration arguments. To configure
a stack with a synthesizer, pass it as one of its properties:

`ts
new MyStack(app, 'MyStack', {
synthesizer: new DefaultStackSynthesizer({
fileAssetsBucketName: 'amzn-s3-demo-bucket',
}),
});
`

For more information on bootstrapping accounts and customizing synthesis,
see Bootstrapping in the CDK Developer Guide.

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You can configure STS options that instruct the CDK CLI on which configuration should it use when assuming
the various roles that are involved in a deployment operation.

Refer to the bootstrapping guide for further context.

These options are available via the DefaultStackSynthesizer properties:

`ts
class MyStack extends Stack {
constructor(scope: Construct, id: string, props: StackProps) {
super(scope, id, {
...props,
synthesizer: new DefaultStackSynthesizer({
deployRoleExternalId: '',
deployRoleAdditionalOptions: {
// https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRole.html#API_AssumeRole_RequestParameters
},
fileAssetPublishingExternalId: '',
fileAssetPublishingRoleAdditionalOptions: {
// https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRole.html#API_AssumeRole_RequestParameters
},
imageAssetPublishingExternalId: '',
imageAssetPublishingRoleAdditionalOptions: {
// https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRole.html#API_AssumeRole_RequestParameters
},
lookupRoleExternalId: '',
lookupRoleAdditionalOptions: {
// https://docs.aws.amazon.com/STS/latest/APIReference/API_AssumeRole.html#API_AssumeRole_RequestParameters
},
})
});
}
}
`

> Note that the *additionalOptions property does not allow passing ExternalId or RoleArn, as these options
> have dedicated properties that configure them.

#### Session Tags

STS session tags are used to implement Attribute-Based Access Control (ABAC).

See IAM tutorial: Define permissions to access AWS resources based on tags.

You can pass session tags for each role created during bootstrap via the *additionalOptions property:

`ts
class MyStack extends Stack {
constructor(parent: Construct, id: string, props: StackProps) {
super(parent, id, {
...props,
synthesizer: new DefaultStackSynthesizer({
deployRoleAdditionalOptions: {
Tags: [{ Key: 'Department', Value: 'Engineering' }]
},
fileAssetPublishingRoleAdditionalOptions: {
Tags: [{ Key: 'Department', Value: 'Engineering' }]
},
imageAssetPublishingRoleAdditionalOptions: {
Tags: [{ Key: 'Department', Value: 'Engineering' }]
},
lookupRoleAdditionalOptions: {
Tags: [{ Key: 'Department', Value: 'Engineering' }]
},
})
});
}
}
`

This will cause the CDK CLI to include session tags when assuming each of these roles during deployment.
Note that the trust policy of the role must contain permissions for the sts:TagSession action.

Refer to the IAM user guide on session tags.

- If you are using a custom bootstrap template, make sure the template includes these permissions.
- If you are using the default bootstrap template from a CDK version lower than XXXX, you will need to rebootstrap your enviroment (once).

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:

`ts
class MyNestedStack extends cfn.NestedStack {
constructor(scope: Construct, id: string, props?: cfn.NestedStackProps) {
super(scope, id, props);

new s3.Bucket(this, 'NestedBucket');
}
}

class MyParentStack extends Stack {
constructor(scope: Construct, id: string, props?: StackProps) {
super(scope, id, props);

new MyNestedStack(this, 'Nested1');
new MyNestedStack(this, '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.

Accessing resources in a different stack

You can access resources in a different stack, as long as they are in the
same account and AWS Region (see next section for an exception).
The following example defines the stack stack1,
which defines an Amazon S3 bucket. Then it defines a second stack, stack2,
which takes the bucket from stack1 as a constructor property.

`ts
const prod = { account: '123456789012', region: 'us-east-1' };

const stack1 = new StackThatProvidesABucket(app, 'Stack1' , { env: prod });

// stack2 will take a property { bucket: IBucket }
const stack2 = new StackThatExpectsABucket(app, 'Stack2', {
bucket: stack1.bucket,
env: prod
});
`

If the AWS CDK determines that the resource is in the same account and
Region, but in a different stack, it automatically synthesizes AWS
CloudFormation
Exports
in the producing stack and an
Fn::ImportValue
in the consuming stack to transfer that information from one stack to the
other.

Accessing resources in a different stack and region

> This feature is currently experimental

You can enable the Stack property crossRegionReferences
in order to access resources in a different stack and region. With this feature flag
enabled it is possible to do something like creating a CloudFront distribution in us-east-2 and
an ACM certificate in us-east-1.

`ts
const stack1 = new Stack(app, 'Stack1', {
env: {
region: 'us-east-1',
},
crossRegionReferences: true,
});
const cert = new acm.Certificate(stack1, 'Cert', {
domainName: '*.example.com',
validation: acm.CertificateValidation.fromDns(route53.PublicHostedZone.fromHostedZoneId(stack1, 'Zone', 'Z0329774B51CGXTDQV3X')),
});

const stack2 = new Stack(app, 'Stack2', {
env: {
region: 'us-east-2',
},
crossRegionReferences: true,
});
new cloudfront.Distribution(stack2, 'Distribution', {
defaultBehavior: {
origin: new origins.HttpOrigin('example.com'),
},
domainNames: ['dev.example.com'],
certificate: cert,
});
`

When the AWS CDK determines that the resource is in a different stack and is in a different
region, it will "export" the value by creating a custom resource in the producing stack which
creates SSM Parameters in the consuming region for each exported value. The parameters will be
created with the name '/cdk/exports/${consumingStackName}/${export-name}'.
In order to "import" the exports into the consuming stack a SSM Dynamic reference
is used to reference the SSM parameter which was created.

In order to mimic strong references, a Custom Resource is also created in the consuming
stack which marks the SSM parameters as being "imported". When a parameter has been successfully
imported, the producing stack cannot update the value.

> [!NOTE]
> As a consequence of this feature being built on a Custom Resource, we are restricted to a
> CloudFormation response body size limitation of 4096 bytes.
> To prevent deployment errors related to the Custom Resource Provider response body being too
> large, we recommend limiting the use of nested stacks and minimizing the length of stack names.
> Doing this will prevent SSM parameter names from becoming too long which will reduce the size of the
> response body.

See the adr
for more details on this feature.

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The automatic references created by CDK when you use resources across stacks
are convenient, but may block your deployments if you want to remove the
resources that are referenced in this way. You will see an error like:

`text
Export Stack1:ExportsOutputFnGetAtt- cannot be deleted as it is in use by Stack1
`

Let's say there is a Bucket in the stack1, and the stack2 references its
bucket.bucketName. You now want to remove the bucket and run into the error above.

It's not safe to remove stack1.bucket while stack2 is still using it, so
unblocking yourself from this is a two-step process. This is how it works:

DEPLOYMENT 1: break the relationship

- Make sure stack2 no longer references bucket.bucketName (maybe the consumer
stack now uses its own bucket, or it writes to an AWS DynamoDB table, or maybe you just
remove the Lambda Function altogether).
- In the stack1 class, call this.exportValue(this.bucket.bucketName). This
will make sure the CloudFormation Export continues to exist while the relationship
between the two stacks is being broken.
- Deploy (this will effectively only change the stack2, but it's safe to deploy both).

DEPLOYMENT 2: remove the resource

- You are now free to remove the bucket resource from stack1.
- Don't forget to remove the exportValue() call as well.
- Deploy again (this time only the stack1 will be changed -- the bucket will be deleted).

Durations

To make specifications of time intervals unambiguous, a single class called
Duration is used throughout the AWS Construct Library by all constructs
that that take a time interval as a parameter (be it for a timeout, a
rate, or something else).

An instance of Duration is constructed by using one of the static factory
methods on it:

`ts
Duration.seconds(300) // 5 minutes
Duration.minutes(5) // 5 minutes
Duration.hours(1) // 1 hour
Duration.days(7) // 7 days
Duration.parse('PT5M') // 5 minutes
`

Durations can be added or subtracted together:

`ts
Duration.minutes(1).plus(Duration.seconds(60)); // 2 minutes
Duration.minutes(5).minus(Duration.seconds(10)); // 290 secondes
`

Size (Digital Information Quantity)

To make specification of digital storage quantities unambiguous, a class called
Size is available.

An instance of Size is initialized through one of its static factory methods:

`ts
Size.kibibytes(200) // 200 KiB
Size.mebibytes(5) // 5 MiB
Size.gibibytes(40) // 40 GiB
Size.tebibytes(200) // 200 TiB
Size.pebibytes(3) // 3 PiB
`

Instances of Size created with one of the units can be converted into others.
By default, conversion to a higher unit will fail if the conversion does not produce
a whole number. This can be overridden by unsetting integral property.

`ts
Size.mebibytes(2).toKibibytes() // yields 2048
Size.kibibytes(2050).toMebibytes({ rounding: SizeRoundingBehavior.FLOOR }) // yields 2
`

Secrets

To help avoid accidental storage of secrets as plain text, we use the SecretValue type to
represent secrets. Any construct that takes a value that should be a secret (such as
a password or an access key) will take a parameter of type SecretValue.

The best practice is to store secrets in AWS Secrets Manager and reference them using SecretValue.secretsManager:

`ts
const secret = SecretValue.secretsManager('secretId', {
jsonField: 'password', // optional: key of a JSON field to retrieve (defaults to all content),
versionId: 'id', // optional: id of the version (default AWSCURRENT)
versionStage: 'stage', // optional: version stage name (default AWSCURRENT)
});
`

Using AWS Secrets Manager is the recommended way to reference secrets in a CDK app.
SecretValue also supports the following secret sources:

- SecretValue.unsafePlainText(secret): stores the secret as plain text in your app and the resulting template (not recommended).
- SecretValue.secretsManager(secret): refers to a secret stored in Secrets Manager
- SecretValue.ssmSecure(param, version): refers to a secret stored as a SecureString in the SSM
Parameter Store. If you don't specify the exact version, AWS CloudFormation uses the latest
version of the parameter.
- SecretValue.cfnParameter(param): refers to a secret passed through a CloudFormation parameter (must have NoEcho: true).
- SecretValue.cfnDynamicReference(dynref): refers to a secret described by a CloudFormation dynamic reference (used by ssmSecure and secretsManager).
- SecretValue.resourceAttribute(attr): refers to a secret returned from a CloudFormation resource creation.

SecretValues should only be passed to constructs that accept properties of type
SecretValue. These constructs are written to ensure your secrets will not be
exposed where they shouldn't be. If you try to use a SecretValue in a
different location, an error about unsafe secret usage will be thrown at
synthesis time.

If you rotate the secret's value in Secrets Manager, you must also change at
least one property on the resource where you are using the secret, to force
CloudFormation to re-read the secret.

SecretValue.ssmSecure() is only supported for a limited set of resources.
Click here for a list of supported resources and properties.

SecretValue.cfnDynamicReferenceKey takes the same parameters as SecretValue.secretsManager and returns a key which can be used within a dynamic reference to dynamically load a secret from AWS Secrets Manager.

ARN manipulation

Sometimes you will need to put together or pick apart Amazon Resource Names
(ARNs). The functions stack.formatArn() and stack.splitArn() exist for
this purpose.

formatArn() can be used to build an ARN from components. It will automatically
use the region and account of the stack you're calling it on:

`ts
declare const stack: Stack;

// Builds "arn::lambda:::function:MyFunction"
stack.formatArn({
service: 'lambda',
resource: 'function',
arnFormat: ArnFormat.COLON_RESOURCE_NAME,
resourceName: 'MyFunction'
});
`

splitArn() can be used to get a single component from an ARN. splitArn()
will correctly deal with both literal ARNs and deploy-time values (tokens),
but in case of a deploy-time value be aware that the result will be another
deploy-time value which cannot be inspected in the CDK application.

`ts
declare const stack: Stack;

// Extracts the function name out of an AWS Lambda Function ARN
const arnComponents = stack.splitArn(arn, ArnFormat.COLON_RESOURCE_NAME);
const functionName = arnComponents.resourceName;
`

Note that the format of the resource separator depends on the service and
may be any of the values supported by ArnFormat. When dealing with these
functions, it is important to know the format of the ARN you are dealing with.

For an exhaustive list of ARN formats used in AWS, see AWS ARNs and
Namespaces
in the AWS General Reference.

Dependencies

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Sometimes AWS resources depend on other resources, and the creation of one
resource must be completed before the next one can be started.

In general, CloudFormation will correctly infer the dependency relationship
between resources based on the property values that are used. In the cases where
it doesn't, the AWS Construct Library will add the dependency relationship for
you.

If you need to add an ordering dependency that is not automatically inferred,
you do so by adding a dependency relationship using
constructA.node.addDependency(constructB). This will add a dependency
relationship between all resources in the scope of constructA and all
resources in the scope of constructB.

If you want a single object to represent a set of constructs that are not
necessarily in the same scope, you can use a DependencyGroup. The
following creates a single object that represents a dependency on two
constructs, constructB and constructC:

`ts
// Declare the dependable object
const bAndC = new DependencyGroup();
bAndC.add(constructB);
bAndC.add(constructC);

// Take the dependency
constructA.node.addDependency(bAndC);
`

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Two different stack instances can have a dependency on one another. This
happens when an resource from one stack is referenced in another stack. In
that case, CDK records the cross-stack referencing of resources,
automatically produces the right CloudFormation primitives, and adds a
dependency between the two stacks. You can also manually add a dependency
between two stacks by using the stackA.addDependency(stackB) method.

A stack dependency has the following implications:

- Cyclic dependencies are not allowed, so if stackA is using resources from
stackB, the reverse is not possible anymore.
- Stacks with dependencies between them are treated specially by the CDK
toolkit:
- If stackA depends on stackB, running cdk deploy stackA will also
automatically deploy stackB.
- stackB's deployment will be performed before stackA's deployment.

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To make declaring dependencies between CfnResource objects easier, you can declare dependencies from one CfnResource object on another by using the cfnResource1.addDependency(cfnResource2) method. This method will work for resources both within the same stack and across stacks as it detects the relative location of the two resources and adds the dependency either to the resource or between the relevant stacks, as appropriate. If more complex logic is in needed, you can similarly remove, replace, or view dependencies between CfnResource objects with the CfnResource removeDependency, replaceDependency, and obtainDependencies methods, respectively.

Custom Resources

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

Custom resources are backed by custom resource providers. Commonly, these are
Lambda Functions that are deployed in the same deployment as the one that
defines the custom resource itself, but they can also be backed by Lambda
Functions deployed previously, or code responding to SNS Topic events running on
EC2 instances in a completely different account. For more information on custom
resource providers, see the next section.

Once you have a provider, each definition of a CustomResource construct
represents one invocation. A single provider can be used for the implementation
of arbitrarily many custom resource definitions. A single definition looks like
this:

`ts
new CustomResource(this, 'MyMagicalResource', {
resourceType: 'Custom::MyCustomResource', // must start with 'Custom::'

// the resource properties
// properties like serviceToken or serviceTimeout are ported into properties automatically
// try not to use key names similar to these or there will be a risk of overwriting those values
properties: {
Property1: 'foo',
Property2: 'bar',
},

// the ARN of the provider (SNS/Lambda) which handles
// CREATE, UPDATE or DELETE events for this resource type
// see next section for details
serviceToken: 'ARN',

// the maximum time, in seconds, that can elapse before a custom resource operation times out.
serviceTimeout: Duration.seconds(60),
});
`

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Custom resources are backed by a custom resource provider which can be
implemented in one of the following ways. The following table compares the
various provider types (ordered from low-level to high-level):

| Provider | Compute Type | Error Handling | Submit to CloudFormation | Max Timeout | Language | Footprint |
| -------------------------------------------------------------------- | :----------: | :------------: | :----------------------: | :-------------: | :------: | :-------: |
| sns.Topic | Self-managed | Manual | Manual | Unlimited | Any | Depends |
| lambda.Function | AWS Lambda | Manual | Manual | 15min | Any | Small |
| core.CustomResourceProvider | AWS Lambda | Auto | Auto | 15min | Node.js | Small |
| custom-resources.Provider | AWS Lambda | Auto | Auto | Unlimited Async | Any | Large |

Legend:

- Compute type: which type of compute can be used to execute the handler.
- Error Handling: whether errors thrown by handler code are automatically
trapped and a FAILED response is submitted to CloudFormation. If this is
"Manual", developers must take care of trapping errors. Otherwise, events
could cause stacks to hang.
- Submit to CloudFormation: whether the framework takes care of submitting
SUCCESS/FAILED responses to CloudFormation through the event's response URL.
- Max Timeout: maximum allows/possible timeout.
- Language: which programming languages can be used to implement handlers.
- Footprint: how many resources are used by the provider framework itself.

#### A note about singletons

When defining resources for a custom resource provider, you will likely want to
define them as a stack singleton so that only a single instance of the
provider is created in your stack and which is used by all custom resources of
that type.

Here is a basic pattern for defining stack singletons in the CDK. The following
examples ensures that only a single SNS topic is defined:

`ts
function getOrCreate(scope: Construct): sns.Topic {
const stack = Stack.of(scope);
const uniqueid = 'GloballyUniqueIdForSingleton'; // For example, a UUID from uuidgen
const existing = stack.node.tryFindChild(uniqueid);
if (existing) {
return existing as sns.Topic;
}
return new sns.Topic(stack, uniqueid);
}
`

#### Amazon SNS Topic

Every time a resource event occurs (CREATE/UPDATE/DELETE), an SNS notification
is sent to the SNS topic. Users must process these notifications (e.g. through a
fleet of worker hosts) and submit success/failure responses to the
CloudFormation service.

> You only need to use this type of provider if your custom resource cannot run on AWS Lambda, for reasons other than the 15
> minute timeout. If you are considering using this type of provider because you want to write a custom resource provider that may need
> to wait for more than 15 minutes for the API calls to stabilize, have a look at the custom-resources module first.
>
> Refer to the CloudFormation Custom Resource documentation for information on the contract your custom resource needs to adhere to.

Set serviceToken to topic.topicArn in order to use this provider:

`ts
const topic = new sns.Topic(this, 'MyProvider');

new CustomResource(this, 'MyResource', {
serviceToken: topic.topicArn
});
`

#### AWS Lambda Function

An AWS lambda function is called directly by CloudFormation for all resource
events. The handler must take care of explicitly submitting a success/failure
response to the CloudFormation service and handle various error cases.

> We do not recommend you use this provider type. The CDK has wrappers around Lambda Functions that make them easier to work with.
>
> If you do want to use this provider, refer to the CloudFormation Custom Resource documentation for information on the contract your custom resource needs to adhere to.

Set serviceToken to lambda.functionArn to use this provider:

`ts
const fn = new lambda.SingletonFunction(this, 'MyProvider', functionProps);

new CustomResource(this, 'MyResource', {
serviceToken: fn.functionArn,
});
`

#### The core.CustomResourceProvider class

The class [@aws-cdk/core.CustomResourceProvider] offers a basic low-level
framework designed to implement simple and slim custom resource providers. It
currently only supports Node.js-based user handlers, represents permissions as raw
JSON blobs instead of iam.PolicyStatement objects, and it does not have
support for asynchronous waiting (handler cannot exceed the 15min lambda
timeout). The CustomResourceProviderRuntime supports runtime nodejs12.x,
nodejs14.x, nodejs16.x, nodejs18.x.

[@aws-cdk/core.CustomResourceProvider]: https://docs.aws.amazon.com/cdk/api/latest/docs/@aws-cdk_core.CustomResourceProvider.html

> As an application builder, we do not recommend you use this provider type. This provider exists purely for custom resources that are part of the AWS Construct Library.
>
> The custom-resources provider is more convenient to work with and more fully-featured.

The provider has a built-in singleton method which uses the resource type as a
stack-unique identifier and returns the service token:

`ts
const serviceToken = CustomResourceProvider.getOrCreate(this, 'Custom::MyCustomResourceType', {
codeDirectory: ${__dirname}/my-handler,
runtime: CustomResourceProviderRuntime.NODEJS_18_X,
description: "Lambda function created by the custom resource provider",
});

new CustomResource(this, 'MyResource', {
resourceType: 'Custom::MyCustomResourceType',
serviceToken: serviceToken
});
`

The directory (my-handler in the above example) must include an index.js file. It cannot import
external dependencies or files outside this directory. It must export an async
function named handler. This function accepts the CloudFormation resource
event object and returns an object with the following structure:

`js
exports.handler = async function(event) {
const id = event.PhysicalResourceId; // only for "Update" and "Delete"
const props = event.ResourceProperties;
const oldProps = event.OldResourceProperties; // only for "Update"s

switch (event.RequestType) {
case "Create":
// ...

case "Update":
// ...

// if an error is thrown, a FAILED response will be submitted to CFN
throw new Error('Failed!');

case "Delete":
// ...
}

return {
// (optional) the value resolved from resource.ref
// defaults to "event.PhysicalResourceId" or "event.RequestId"
PhysicalResourceId: "REF",

// (optional) calling resource.getAtt("Att1") on the custom resource in the CDK app
// will return the value "BAR".
Data: {
Att1: "BAR",
Att2: "BAZ"
},

// (optional) user-visible message
Reason: "User-visible message",

// (optional) hides values from the console
NoEcho: true
};
}
`

Here is an complete example of a custom resource that summarizes two numbers:

sum-handler/index.js:

`js
exports.handler = async (e) => {
return {
Data: {
Result: e.ResourceProperties.lhs + e.ResourceProperties.rhs,
},
};
};
`

sum.ts:

`ts nofixture
import { Construct } from 'constructs';
import {
CustomResource,
CustomResourceProvider,
CustomResourceProviderRuntime,
Token,
} from 'aws-cdk-lib';

export interface SumProps {
readonly lhs: number;
readonly rhs: number;
}

export class Sum extends Construct {
public readonly result: number;

constructor(scope: Construct, id: string, props: SumProps) {
super(scope, id);

const resourceType = 'Custom::Sum';
const serviceToken = CustomResourceProvider.getOrCreate(this, resourceType, {
codeDirectory: ${__dirname}/sum-handler,
runtime: CustomResourceProviderRuntime.NODEJS_18_X,
});

const resource = new CustomResource(this, 'Resource', {
resourceType: resourceType,
serviceToken: serviceToken,
properties: {
lhs: props.lhs,
rhs: props.rhs
}
});

this.result = Token.asNumber(resource.getAtt('Result'));
}
}
`

Usage will look like this:

`ts fixture=README-custom-resource-provider
const sum = new Sum(this, 'MySum', { lhs: 40, rhs: 2 });
new CfnOutput(this, 'Result', { value: Token.asString(sum.result) });
`

To access the ARN of the provider's AWS Lambda function role, use the getOrCreateProvider()
built-in singleton method:

`ts
const provider = CustomResourceProvider.getOrCreateProvider(this, 'Custom::MyCustomResourceType', {
codeDirectory: ${__dirname}/my-handler,
runtime: CustomResourceProviderRuntime.NODEJS_18_X,
});

const roleArn = provider.roleArn;
`

This role ARN can then be used in resource-based IAM policies.

To add IAM policy statements to this role, use addToRolePolicy():

`ts
const provider = CustomResourceProvider.getOrCreateProvider(this, 'Custom::MyCustomResourceType', {
codeDirectory: ${__dirname}/my-handler,
runtime: CustomResourceProviderRuntime.NODEJS_18_X,
});
provider.addToRolePolicy({
Effect: 'Allow',
Action: 's3:GetObject',
Resource: '*',
})
`

Note that addToRolePolicy() uses direct IAM JSON policy blobs, not a
iam.PolicyStatement object like you will see in the rest of the CDK.

#### The Custom Resource Provider Framework

The [@aws-cdk/custom-resources] module includes an advanced framework for
implementing custom resource providers.

[@aws-cdk/custom-resources]: https://docs.aws.amazon.com/cdk/api/latest/docs/custom-resources-readme.html

Handlers are implemented as AWS Lambda functions, which means that they can be
implemented in any Lambda-supported runtime. Furthermore, this provider has an
asynchronous mode, which means that users can provide an isComplete lambda
function which is called periodically until the operation is complete. This
allows implementing providers that can take up to two hours to stabilize.

Set serviceToken to provider.serviceToken to use this type of provider:

`ts
const provider = new customresources.Provider(this, 'MyProvider', {
onEventHandler,
isCompleteHandler, // optional async waiter
});

new CustomResource(this, 'MyResource', {
serviceToken: provider.serviceToken
});
`

See the documentation for more details.

AWS CloudFormation features

A CDK stack synthesizes to an AWS CloudFormation Template. This section
explains how this module allows users to access low-level CloudFormation
features when needed.

$3

CloudFormation [stack outputs][cfn-stack-output] and exports are created using
the CfnOutput class:

`ts
new CfnOutput(this, 'OutputName', {
value: myBucket.bucketName,
description: 'The name of an S3 bucket', // Optional
exportName: 'TheAwesomeBucket', // Registers a CloudFormation export named "TheAwesomeBucket"
});
`

You can also use the exportValue method to export values as stack outputs:

`ts
declare const stack: Stack;

stack.exportValue(myBucket.bucketName, {
name: 'TheAwesomeBucket',
description: 'The name of an S3 bucket',
});
`

[cfn-stack-output]: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/outputs-section-structure.html

$3

CloudFormation templates support the use of [Parameters][cfn-parameters] to
customize a template. They enable CloudFormation users to input custom values to
a template each time a stack is created or updated. While the CDK design
philosophy favors using build-time parameterization, users may need to use
CloudFormation in a number of cases (for example, when migrating an existing
stack to the AWS CDK).

Template parameters can be added to a stack by using the CfnParameter class:

`ts
new CfnParameter(this, 'MyParameter', {
type: 'Number',
default: 1337,
// See the API reference for more configuration props
});
`

The value of parameters can then be obtained using one of the value methods.
As parameters are only resolved at deployment time, the values obtained are
placeholder tokens for the real value (Token.isUnresolved() would return true
for those):

`ts
const param = new CfnParameter(this, 'ParameterName', { / config / });

// If the parameter is a String
param.valueAsString;

// If the parameter is a Number
param.valueAsNumber;

// If the parameter is a List
param.valueAsList;
`

[cfn-parameters]: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/parameters-section-structure.html

$3

CloudFormation supports a number of [pseudo parameters][cfn-pseudo-params],
which resolve to useful values at deployment time. CloudFormation pseudo
parameters can be obtained from static members of the Aws class.

It is generally recommended to access pseudo parameters from the scope's stack
instead, which guarantees the values produced are qualifying the designated
stack, which is essential in cases where resources are shared cross-stack:

`ts
// "this" is the current construct
const stack = Stack.of(this);

stack.account; // Returns the AWS::AccountId for this stack (or the literal value if known)
stack.region; // Returns the AWS::Region for this stack (or the literal value if known)
stack.partition; // Returns the AWS::Partition for this stack (or the literal value if known)
`

[cfn-pseudo-params]: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/pseudo-parameter-reference.html

$3

CloudFormation resources can also specify [resource
attributes][cfn-resource-attributes]. The CfnResource class allows
accessing those through the cfnOptions property:

`ts
const rawBucket = new s3.CfnBucket(this, 'Bucket', { / ... / });
// -or-
const rawBucketAlt = myBucket.node.defaultChild as s3.CfnBucket;

// then
rawBucket.cfnOptions.condition = new CfnCondition(this, 'EnableBucket', { / ... / });
rawBucket.cfnOptions.metadata = {
metadataKey: 'MetadataValue',
};
`

Resource dependencies (the DependsOn attribute) is modified using the
cfnResource.addDependency method:

`ts
const resourceA = new CfnResource(this, 'ResourceA', resourceProps);
const resourceB = new CfnResource(this, 'ResourceB', resourceProps);

resourceB.addDependency(resourceA);
`

[cfn-resource-attributes]: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-product-attribute-reference.html

#### CreationPolicy

Some resources support a [CreationPolicy][creation-policy] to be specified as a CfnOption.

The creation policy is invoked only when AWS CloudFormation creates the associated resource. Currently, the only AWS CloudFormation resources that support creation policies are CfnAutoScalingGroup, CfnInstance, CfnWaitCondition and CfnFleet.

The CfnFleet resource from the aws-appstream module supports specifying startFleet as
a property of the creationPolicy on the resource options. Setting it to true will make AWS CloudFormation wait until the fleet is started before continuing with the creation of
resources that depend on the fleet resource.

`ts
const fleet = new appstream.CfnFleet(this, 'Fleet', {
instanceType: 'stream.standard.small',
name: 'Fleet',
computeCapacity: {
desiredInstances: 1,
},
imageName: 'AppStream-AmazonLinux2-09-21-2022',
});
fleet.cfnOptions.creationPolicy = {
startFleet: true,
};
`

The properties passed to the level 2 constructs AutoScalingGroup and Instance from the
aws-ec2 module abstract what is passed into the CfnOption properties resourceSignal and
autoScalingCreationPolicy, but when using level 1 constructs you can specify these yourself.

The CfnWaitCondition resource from the aws-cloudformation module supports the resourceSignal.
The format of the timeout is PT#H#M#S. In the example below AWS Cloudformation will wait for
3 success signals to occur within 15 minutes before the status of the resource will be set to
CREATE_COMPLETE.

`ts
declare const resource: CfnResource;

resource.cfnOptions.creationPolicy = {
resourceSignal: {
count: 3,
timeout: 'PR15M',
}
};
`

[creation-policy]: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-attribute-creationpolicy.html

$3

CloudFormation supports [intrinsic functions][cfn-intrinsics]. These functions
can be accessed from the Fn class, which provides type-safe methods for each
intrinsic function as well as condition expressions:

`ts
declare const myObjectOrArray: any;
declare const myArray: any;

// To use Fn::Base64
Fn.base64('SGVsbG8gQ0RLIQo=');

// To compose condition expressions:
const environmentParameter = new CfnParameter(this, 'Environment');
Fn.conditionAnd(
// The "Environment" CloudFormation template parameter evaluates to "Production"
Fn.conditionEquals('Production', environmentParameter),
// The AWS::Region pseudo-parameter value is NOT equal to "us-east-1"
Fn.conditionNot(Fn.conditionEquals('us-east-1', Aws.REGION)),
);

// To use Fn::ToJsonString
Fn.toJsonString(myObjectOrArray);

// To use Fn::Length
Fn.len(Fn.split(',', myArray));
`

When working with deploy-time values (those for which Token.isUnresolved
returns true), idiomatic conditionals from the programming language cannot be
used (the value will not be known until deployment time). When conditional logic
needs to be expressed with un-resolved values, it is necessary to use
CloudFormation conditions by means of the CfnCondition class:

`ts
const environmentParameter = new CfnParameter(this, 'Environment');
const isProd = new CfnCondition(this, 'IsProduction', {
expression: Fn.conditionEquals('Production', environmentParameter),
});

// Configuration value that is a different string based on IsProduction
const stage = Fn.conditionIf(isProd.logicalId, 'Beta', 'Prod').toString();

// Make Bucket creation condition to IsProduction by accessing
// and overriding the CloudFormation resource
const bucket = new s3.Bucket(this, 'Bucket');
const cfnBucket = myBucket.node.defaultChild as s3.CfnBucket;
cfnBucket.cfnOptions.condition = isProd;
`

[cfn-intrinsics]: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/intrinsic-function-reference.html

$3

CloudFormation [mappings][cfn-mappings] are created and queried using the
CfnMappings class:

`ts
const regionTable = new CfnMapping(this, 'RegionTable', {
mapping: {
'us-east-1': {
regionName: 'US East (N. Virginia)',
// ...
},
'us-east-2': {
regionName: 'US East (Ohio)',
// ...
},
// ...
}
});

regionTable.findInMap(Aws.REGION, 'regionName')
`

This will yield the following template:

`yaml
Mappings:
RegionTable:
us-east-1:
regionName: US East (N. Virginia)
us-east-2:
regionName: US East (Ohio)
`

Mappings can also be synthesized "lazily"; lazy mappings will only render a "Mappings"
section in the synthesized CloudFormation template if some findInMap call is unable to
immediately return a concrete value due to one or both of the keys being unresolved tokens
(some value only available at deploy-time).

For example, the following code will not produce anything in the "Mappings" section. The
call to findInMap will be able to resolve the value during synthesis and simply return
'US East (Ohio)'.

`ts
const regionTable = new CfnMapping(this, 'RegionTable', {
mapping: {
'us-east-1': {
regionName: 'US East (N. Virginia)',
},
'us-east-2': {
regionName: 'US East (Ohio)',
},
},
lazy: true,
});

regionTable.findInMap('us-east-2', 'regionName');
`

On the other hand, the following code will produce the "Mappings" section shown above,
since the top-level key is an unresolved token. The call to findInMap will return a token that resolves to
{ "Fn::FindInMap": [ "RegionTable", { "Ref": "AWS::Region" }, "regionName" ] }.

`ts
declare const regionTable: CfnMapping;

regionTable.findInMap(Aws.REGION, 'regionName');
`

An optional default value can also be passed to findInMap. If either key is not found in the map and the mapping is lazy, findInMap will return the default value and not render the mapping.
If the mapping is not lazy or either key is an unresolved token, the call to findInMap will return a token that resolves to
{ "Fn::FindInMap": [ "MapName", "TopLevelKey", "SecondLevelKey", { "DefaultValue": "DefaultValue" } ] }, and the mapping will be rendered.
Note that the AWS::LanguageExtentions transform is added to enable the default value functionality.

For example, the following code will again not produce anything in the "Mappings" section. The
call to findInMap will be able to resolve the value during synthesis and simply return
'Region not found'.

`ts
const regionTable = new CfnMapping(this, 'RegionTable', {
mapping: {
'us-east-1': {
regionName: 'US East (N. Virginia)',
},
'us-east-2': {
regionName: 'US East (Ohio)',
},
},
lazy: true,
});

regionTable.findInMap('us-west-1', 'regionName', 'Region not found');
`

[cfn-mappings]: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/mappings-section-structure.html

$3

CloudFormation supports [dynamically resolving][cfn-dynamic-references] values
for SSM parameters (including secure strings) and Secrets Manager. Encoding such
references is done using the CfnDynamicReference class:

`ts
new CfnDynamicReference(
CfnDynamicReferenceService.SECRETS_MANAGER,
'secret-id:secret-string:json-key:version-stage:version-id',
);
`

[cfn-dynamic-references]: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/dynamic-references.html

RemovalPolicies

The RemovalPolicies class provides a convenient way to manage removal policies for AWS CDK resources within a construct scope. It allows you to apply removal policies to multiple resources at once, with options to include or exclude specific resource types.

`typescript
declare const scope: Construct;
declare const parent: Construct;
declare const bucket: s3.CfnBucket;

// Apply DESTROY policy to all resources in a scope
RemovalPolicies.of(scope).destroy();

// Apply RETAIN policy to all resources in a scope
RemovalPolicies.of(scope).retain();

// Apply SNAPSHOT policy to all resources in a scope
RemovalPolicies.of(scope).snapshot();

// Apply RETAIN_ON_UPDATE_OR_DELETE policy to all resources in a scope
RemovalPolicies.of(scope).retainOnUpdateOrDelete();

// Apply RETAIN policy only to specific resource types
RemovalPolicies.of(parent).retain({
applyToResourceTypes: [
'AWS::DynamoDB::Table',
bucket.cfnResourceType, // 'AWS::S3::Bucket'
rds.CfnDBInstance.CFN_RESOURCE_TYPE_NAME, // 'AWS::RDS::DBInstance'
],
});

// Apply SNAPSHOT policy excluding specific resource types
RemovalPolicies.of(scope).snapshot({
excludeResourceTypes: ['AWS::Test::Resource'],
});
`

$3

CDK provides two different classes for managing removal policies:

- RemovalPolicies: Always applies the specified removal policy, overriding any existing policies.
- MissingRemovalPolicies: Applies the removal policy only to resources that don't already have a policy set.

`typescript
// Override any existing policies
RemovalPolicies.of(scope).retain();

// Only apply to resources without existing policies
MissingRemovalPolicies.of(scope).retain();
`

$3

Both RemovalPolicies and MissingRemovalPolicies are implemented as Aspects. You can control the order in which they're applied using the priority parameter:

`typescript
declare const stack: Stack;

// Apply in a specific order based on priority
RemovalPolicies.of(stack).retain({ priority: 100 });
RemovalPolicies.of(stack).destroy({ priority: 200 }); // This will override the RETAIN policy
`

For RemovalPolicies, the policies are applied in order of aspect execution, with the last applied policy overriding previous ones. The priority only affects the order in which aspects are applied during synthesis.

#### Note

When using MissingRemovalPolicies with priority, a warning will be issued as this can lead to unexpected behavior. This is because MissingRemovalPolicies only applies to resources without existing policies, making priority less relevant.

$3

CloudFormation templates support a number of options, including which Macros or
[Transforms][cfn-transform] to use when deploying the stack. Those can be
configured using the stack.templateOptions property:

`ts
const stack = new Stack(app, 'StackName');

stack.templateOptions.description = 'This will appear in the AWS console';
stack.templateOptions.transforms = ['AWS::Serverless-2016-10-31'];
stack.templateOptions.metadata = {
metadataKey: 'MetadataValue',
};
`

[cfn-transform]: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/transform-section-structure.html

$3

The CfnResource class allows emitting arbitrary entries in the
[Resources][cfn-resources] section of the CloudFormation template.

`ts
new CfnResource(this, 'ResourceId', {
type: 'AWS::S3::Bucket',
properties: {
BucketName: 'amzn-s3-demo-bucket'
},
});
`

As for any other resource, the logical ID in the CloudFormation template will be
generated by the AWS CDK, but the type and properties will be copied verbatim in
the synthesized template.

[cfn-resources]: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/resources-section-structure.html

$3

When migrating a CloudFormation stack to the AWS CDK, it can be useful to
include fragments of an existing template verbatim in the synthesized template.
This can be achieved using the CfnInclude class.

`ts
new CfnInclude(this, 'ID', {
template: {
Resources: {
Bucket: {
Type: 'AWS::S3::Bucket',
Properties: {
BucketName: 'amzn-s3-demo-bucket'
}
}
}
},
});
`

$3

You can prevent a stack from being accidentally deleted by enabling termination
protection on the stack. If a user attempts to delete a stack with termination
protection enabled, the deletion fails and the stack--including its status--remains
unchanged. Enabling or disabling termination protection on a stack sets it for any
nested stacks belonging to that stack as well. You can enable termination protection
on a stack by setting the terminationProtection prop to true.

`ts
const stack = new Stack(app, 'StackName', {
terminationProtection: true,
});
`

You can also set termination protection with the setter after you've instantiated the stack.

`ts
const stack = new Stack(app, 'StackName', {});
stack.terminationProtection = true;
`

By default, termination protection is disabled.

$3

You can add a description of the stack in the same way as StackProps.

`ts
const stack = new Stack(app, 'StackName', {
description: 'This is a description.',
});
`

$3

You can add one or more SNS Topic ARNs to any Stack:

`ts
const stack = new Stack(app, 'StackName', {
notificationArns: ['arn:aws:sns:us-east-1:123456789012:Topic'],
});
`

Stack events will be sent to any SNS Topics in this list. These ARNs are added to those specified using
the --notification-arns command line option.

Note that in order to do delete notification ARNs entirely, you must pass an empty array ([]) instead of omitting it.
If you omit the property, no action on existing ARNs will take place.

> [!NOTE]
> Adding the notificationArns property (or using the --notification-arns CLI options) will override
> any existing ARNs configured on the stack. If you have an external system managing notification ARNs,
> either migrate to use this mechanism, or avoid specfying notification ARNs with the CDK.

$3

CfnJson allows you to postpone the resolution of a JSON blob from
deployment-time. This is useful in cases where the CloudFormation JSON template
cannot express a certain value.

A common example is to use CfnJson in order to render a JSON map which needs
to use intrinsic functions in keys. Since JSON map keys must be strings, it is
impossible to use intrinsics in keys and CfnJson can help.

The following example defines an IAM role which can only be assumed by
principals that are tagged with a specific tag.

`ts
const tagParam = new CfnParameter(this, 'TagName');

const stringEquals = new CfnJson(this, 'ConditionJson', {
value: {
[aws:PrincipalTag/${tagParam.valueAsString}]: true,
},
});

const principal = new iam.AccountRootPrincipal().withConditions({
StringEquals: stringEquals,
});

new iam.Role(this, 'MyRole', { assumedBy: principal });
`

Explanation: since in this example we pass the tag name through a parameter, it
can only be resolved during deployment. The resolved value can be represented in
the template through a { "Ref": "TagName" }. However, since we want to use
this value inside a aws:PrincipalTag/TAG-NAME
IAM operator, we need it in the key of a StringEquals condition. JSON keys
must be strings, so to circumvent this limitation, we use CfnJson
to "delay" the rendition of this template section to deploy-time. This means
that the value of StringEquals in the template will be { "Fn::GetAtt": [ "ConditionJson", "Value" ] }, and will only "expand" to the operator we synthesized during deployment.

$3

When deploying to AWS CloudFormation, it needs to keep in check the amount of resources being added inside a Stack. Currently it's possible to check the limits in the AWS CloudFormation quotas page.

It's possible to synthesize the project with more Resources than the allowed (or even reduce the number of Resources).

Set the context key @aws-cdk/core:stackResourceLimit with the proper value, being 0 for disable the limit of resources.

$3

The AWS CloudFormation templates generated by CDK include indentation by default.
Indentation makes the templates more readable, but also increases their size,
and CloudFormation templates cannot exceed 1MB.

It's possible to reduce the size of your templates by suppressing indentation.

To do this for all templates, set the context key @aws-cdk/core:suppressTemplateIndentation to true.

To do this for a specific stack, add a suppressTemplateIndentation: true property to the
stack's StackProps parameter. You can also set this property to false to override
the context key setting.

App Context

Context values are key-value pairs that can be associated with an app, stack, or construct.
One common use case for context is to use it for enabling/disabling feature flags. There are several places
where context can be specified. They are listed below in the order they are evaluated (items at the
top take precedence over those below).

- The node.setContext() method
- The postCliContext prop when you create an App
- The CLI via the --context CLI argument
- The cdk.json file via the context key:
- The cdk.context.json file:
- The ~/.cdk.json file via the context key:
- The context prop when you create an App

$3

`ts
new App({
context: {
'@aws-cdk/core:newStyleStackSynthesis': true,
},
});
`

`ts
const app = new App();
app.node.setContext('@aws-cdk/core:newStyleStackSynthesis', true);
`

`ts
new App({
postCliContext: {
'@aws-cdk/core:newStyleStackSynthesis': true,
},
});
`

`console
cdk synth --context @aws-cdk/core:newStyleStackSynthesis=true
`

#### cdk.json

`json
{
"context": {
"@aws-cdk/core:newStyleStackSynthesis": true
}
}
`

#### cdk.context.json

`json
{
"@aws-cdk/core:newStyleStackSynthesis": true
}
`

#### ~/.cdk.json

`json
{
"context": {
"@aws-cdk/core:newStyleStackSynthesis": true
}
}
`

IAM Permissions Boundary

It is possible to apply an IAM permissions boundary
to all roles within a specific construct scope. The most common use case would
be to apply a permissions boundary at the Stage level.

`ts
const prodStage = new Stage(app, 'ProdStage', {
permissionsBoundary: PermissionsBoundary.fromName('cdk-${Qualifier}-PermissionsBoundary'),
});
`

Any IAM Roles or Users created within this Stage will have the default
permissions boundary attached.

For more details see the Permissions Boundary section in the IAM guide.

Policy Validation

If you or your organization use (or would like to use) any policy validation tool, such as
CloudFormation
Guard or
OPA, to define constraints on your
CloudFormation template, you can incorporate them into the CDK application.
By using the appropriate plugin, you can make the CDK application check the
generated CloudFormation templates against your policies immediately after
synthesis. If there are any violations, the synthesis will fail and a report
will be printed to the console or to a file (see below).

> [!NOTE]
> This feature is considered experimental, and both the plugin API and the
> format of the validation report are subject to change in the future.

$3

To use one or more validation plugins in your application, use the
policyValidationBeta1 property of Stage:

`ts fixture=validation-plugin
// globally for the entire app (an app is a stage)
const app = new App({
policyValidationBeta1: [
// These hypothetical classes implement IPolicyValidationPluginBeta1:
new ThirdPartyPluginX(),
new ThirdPartyPluginY(),
],
});

// only apply to a particular stage
const prodStage = new Stage(app, 'ProdStage', {
policyValidationBeta1: [
new ThirdPartyPluginX(),
],
});
`

Immediately after synthesis, all plugins registered this way will be invoked to
validate all the templates generated in the scope you defined. In particular, if
you register the templates in the App object, all templates will be subject to
validation.

> Warning
> Other than modifying the cloud assembly, plugins can do anything that your CDK
> application can. They can read data from the filesystem, access the network
> etc. It's your responsibility as the consumer of a plugin to verify that it is
> secure to use.

By default, the report will be printed in a human-readable format. If you want a
report in JSON format, enable it using the @aws-cdk/core:validationReportJson
context passing it directly to the application:

`ts
const app = new App({
context: { '@aws-cdk/core:validationReportJson': true },
});
`

Alternatively, you can set this context key-value pair using the cdk.json or
cdk.context.json files in your project directory (see
Runtime context).

It is also possible to enable both JSON and human-readable formats by setting
@aws-cdk/core:validationReportPrettyPrint context key explicitly:

`ts
const app = new App({
context: {
'@aws-cdk/core:validationReportJson': true,
'@aws-cdk/core:validationReportPrettyPrint': true,
},
});
`

If you choose the JSON format, the CDK will print the policy validation report
to a file called policy-validation-report.json in the cloud assembly
directory. For the default, human-readable format, the report will be printed to
the standard output.

$3

The communication protocol between the CDK core module and your policy tool is
defined by the IPolicyValidationPluginBeta1 interface. To create a new plugin you must
write a class that implements this interface. There are two things you need to
implement: the plugin name (by overriding the name property), and the
validate() method.

The framework will call validate(), passing an IPolicyValidationContextBeta1 object.
The location of the templates to be validated is given by templatePaths. The
plugin should return an instance of PolicyValidationPluginReportBeta1. This object
represents the report that the user wil receive at the end of the synthesis.

`ts fixture=validation-plugin
class MyPlugin implements IPolicyValidationPluginBeta1 {
public readonly name = 'MyPlugin';

public validate(context: IPolicyValidationContextBeta1): PolicyValidationPluginReportBeta1 {
// First read the templates using context.templatePaths...

// ...then perform the validation, and then compose and return the report.
// Using hard-coded values here for better clarity:
return {
success: false,
violations: [{
ruleName: 'CKV_AWS_117',
description: 'Ensure that AWS Lambda function is configured inside a VPC',
fix: 'https://docs.bridgecrew.io/docs/ensure-that-aws-lambda-function-is-configured-inside-a-vpc-1',
violatingResources: [{
resourceLogicalId: 'MyFunction3BAA72D1',
templatePath: '/home/johndoe/myapp/cdk.out/MyService.template.json',
locations: ['Properties/VpcConfig'],
}],
}],
};
}
}
`

In addition to the name, plugins may optionally report their version (version
property ) and a list of IDs of the rules they are going to evaluate (ruleIds`
property).

Note that plugins are not allowed to modify anything in the cloud assembly. Any
attempt to do so will result in synthesis failure.

If your plugin depends on an extern