Invoking an AWS Lambda Function During a CDK Deployment
Custom Resources in AWS CDK are powerful and give you much flexibility. You can leverage the Provider framework when you need more than a single API call.
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Join For FreeIn general, AWS Lambda functions are triggered by some sort of event. Most common use cases are an event from EventBridge, SQS, or an event created by a call to API Gateway in case you have a REST/HTTP API based on an AWS Lambda function. However, the other day I was looking for an option to execute my Lambda function immediately after it was created and/or updated while deploying my Infrastructure as Code with AWS CDK. I wanted it to work without manually executing a CLI command or calling an HTTP endpoint. It needed to be based on the CDK / CloudFormation deployment. A couple of use cases we had was triggering an import process or running a liquibase/ flyway script to populate a database.
Looking for Options
While researching options, I initially looked for a method on the Function CDK Construct. I wondered if had specific lifecycle methods, but that did not seem the case. Secondly, I started looking at an EventBridge rule that could listen to AWS CloudFormation events, but it seems there are almost no events coming out of CloudFormation into EventBridge.
AWS CDK is based on CloudFormation, so I searched within the documentation for both technologies to see what kind of hooks or lifecycle events were available. The first thing I found was CloudFormation Hooks, however, that only seemed related to proactive validation and automatic enforcement at the pre-deployment phase. While searching I did find a suggestion to look into using a Custom Resource and that seemed like a good solution.
Using Custom Resources in CDK
What are Custom Resources in CDK?
AWS CloudFormation custom resources are extension points to the provisioning engine. When CloudFormation needs to create, update or delete a custom resource, it sends a lifecycle event notification to a custom resource provider.
With custom resources, you can hook into the provisioning engine and create a handler for the create, update and delete events. This will allow you to:
- Create AWS resources that are not (yet) supported by CDK/CloudFormation
- Create non-AWS resources (remote managed databases like ElasticCloud or MongoDB Atlas)
- Perform all kinds of other operations as you can write your own custom logic ( database seeding, database migrations, API calls, SDK calls)
AWS CDK supports Custom Resources and gives you two options to implement them:
- Leverage the Custom Resource Provider Framework - Create your own lambda functions to handle the cloud formation events
- Leverage the Custom Resources for AWS APIs - Use the AWSCustomResource construct and provide a single AWS SDK API call
Using a Custom Resource Provider
So what is a custom resource provider in CDK / CloudFormation?
When CloudFormation needs to create, update or delete a custom resource, it sends a lifecycle event notification to a custom resource provider. The provider handles the event (e.g. creates a resource) and sends back a response to CloudFormation. Providers are implemented through AWS Lambda functions that are triggered by the provider framework in response to lifecycle events.
The CDK documentation on Custom Resources has some extensive documentation on implementing such a Lambda function as a custom provider. At the minimum, you will need to define the onEvent handler, which is invoked by the provider framework for all resource lifecycle events (create, update and delete) and you need to return a result which is then submitted to CloudFormation.
The framework offers a high-level API which makes it easier to implement robust and powerful custom resources and includes the following capabilities:
- Handles responses to AWS CloudFormation and protects against blocked deployments
- Validates handler return values to help with correct handler implementation
- Supports asynchronous handlers to enable operations that require a long waiting period for a resource, which can exceed the AWS Lambda timeout
- Implements default behavior for physical resource IDs.
The following code shows how the Provider construct is used in conjunction with a CustomResource and a user-provided AWS Lambda function which implements the actual handler.
Function onEvent;
Function isComplete;
Role myRole;
Provider myProvider = Provider.Builder.create(this, "MyProvider")
.onEventHandler(onEvent)
.isCompleteHandler(isComplete) // optional async "waiter"
.logRetention(RetentionDays.ONE_DAY) // default is INFINITE
.role(myRole)
.build();
CustomResource.Builder.create(this, "Resource1").serviceToken(myProvider.getServiceToken()).build();
When writing such an eventHandler you can use the AWS Lambda PowerTools for Java Custom Resources utility library.
A skeleton of such a function when used with Lambda PowerTools will look like this:
import com.amazonaws.services.lambda.runtime.Context;
import com.amazonaws.services.lambda.runtime.events.CloudFormationCustomResourceEvent;
import software.amazon.lambda.powertools.cloudformation.AbstractCustomResourceHandler;
import software.amazon.lambda.powertools.cloudformation.Response;
public class ProvisionEventHandler extends AbstractCustomResourceHandler {
@Override
protected Response create(CloudFormationCustomResourceEvent createEvent, Context context) {
doProvisioning();
return Response.success();
}
@Override
protected Response update(CloudFormationCustomResourceEvent updateEvent, Context context) {
return null;
}
@Override
protected Response delete(CloudFormationCustomResourceEvent deleteEvent, Context context) {
return null;
}
}
As you can see from the code snippet, Lambda power tools add a level of abstraction for you so you don’t have to handle events and offer direct methods for creating, updating, and deleting a resource. The solution itself looks very powerful and flexible for a lot of different use cases. You can add multiple operations inside such a block which makes it a powerful solution for complex operations. Creating the code for such a Lambda function looks straightforward, but still, it's quite a bit of work and more code to maintain, so after reading about the AWSCustomResource construct, I had the gut feeling it was all I needed and it looks much simpler to achieve my goal.
Using the AWSCustomResource Construct
So what does the AWSCustomResource construct do?
Defines a custom resource that is materialized using specific AWS API calls. These calls are created using a singleton Lambda function.
You can specify exactly which calls are invoked for the 'CREATE', 'UPDATE', and 'DELETE' life cycle events.
That sounds pretty cool! Besides the AWS CDK code, it sounds like we don't have to write any code to be able to leverage this. So we don't have to write the Lambda function or manage the IAM policies. All we need to do is provide the SDK call. The rest seems to be handled by the construct. Sweet!
Let's first define the Lambda Function that will run our own business logic and needs to be triggered during the deployment.
Function function = new Function(this, "java-based-function", FunctionProps.builder()
.runtime(Runtime.JAVA_11)
.code(Code.fromAsset("../app/target/app.jar"))
.handler("com.jeroenreijn.aws.samples.lambdatrigger.FunctionHandler")
.memorySize(512)
.timeout(Duration.seconds(10))
.logRetention(RetentionDays.ONE_WEEK)
.build());
Now that our business logic function is defined, we will need to define which AWS SDK call we want to make. In our case, we want to invoke a Lambda function from inside our custom resource. Let's create the SDK call to the AWS Lambda service and provide our parameters.
AwsSdkCall lambdaExecutionCall = AwsSdkCall.builder()
.service("Lambda")
.action("invoke")
.physicalResourceId(PhysicalResourceId.of(LocalDateTime.now().toString()))
.parameters(Map.of(
"FunctionName", function.getFunctionName(),
"InvocationType", "Event",
"Payload", "{" + "\"body\":\"{\\\"message\\\": \\\"Hello World\\\"}\"" + "}"
))
.build();
If we look at the above snippet, we can see an example of how to invoke a specific lambda function by name. The Payload parameter is optional, so if your function is not expecting a payload you can leave that out.
With the AWS SDK call in place, we will need to create our AwsCustomResource construct. Since we want our function logic to happen when we create our update our CDK stack we will need to add our AWS SDK call to the onCreateand onUpdate handlers.
Last but not least, to follow the least privilege principle we make sure that our Custom resource can only call our specific function by adding it to the Policy.
AwsCustomResource lambdaTriggerResource = AwsCustomResource.Builder.create(this, "custom-resource")
.logRetention(RetentionDays.FIVE_DAYS)
.onCreate(lambdaExecutionCall)
.onUpdate(lambdaExecutionCall)
.policy(
AwsCustomResourcePolicy.fromStatements(List.of(
PolicyStatement.Builder
.create()
.actions(List.of("lambda:InvokeFunction"))
.effect(Effect.ALLOW)
.resources(List.of(function.getFunctionArn()))
.build())))
.installLatestAwsSdk(false)
.build();
To make sure our business function is deployed before making the call we can add an explicit dependency. By doing so, CDK / CloudFormation will know there is a specific order in which it needs to create our resources.
lambdaTriggerResource.getNode().addDependency(function);
When you deploy the above solution AWS CDK / CloudFormation will actually create a second Lambda function for us containing the SDK call to the function that holds our actual business logic. That was exactly what I was trying to do and CDK seems to make it really simple to implement this.
Summary
As you can see Custom Resources in AWS CDK are quite powerful. It gives you a lot of flexibility and when you need more than a single API call you can leverage the Provider framework. For single API calls using the AwsCustomResource
is quite straightforward and it allowed me to invoke my lambda function on deployment.
Published at DZone with permission of Jeroen Reijn. See the original article here.
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