1 Introduction
1.1 IaC
Infrastructure as code(IaC) is the managing and provisioning of infrastructure through code instead of manual processes, for example, clicking button, adding or editing roles in AWS console.
1.2 AWS CloudFormation
AWS CloudFormation is the original IaC tool for AWS, released in 2011, which uses template files to automate and mange the setup of AWS resources.
1.3 AWS CDK
AWS Cloud Development Kit(CDK) is a product provided by AWS that makes it easier for developers to manage their infrastructure with familiar programming languages like TypeScript, Python, Java, etc.
And, CDK is standing on the shoulder of Cloudformation, providing tools for developers by leveraging Cloudformation.
A stack is a collection of AWS resources that you can manage as a single unit, like a box.
For instance, this box could include all the resources required to run an application or Lambda service, such as S3 Buckets (storage), Roles (authorization), Lambda Function (computing), API Gateway (access point), Alarm, Monitoring, etc.
2 Problem
I am currently working on a project which requires to set up two stacks, one stack( GlueStack
) for defining a list of AWS Glue tables and the other stack( ServiceStack
) for definition of Lambda service and associated resources.
In fact, S3 bucket names have to be globally unique within a partition, which means crossing the whole AWS customer base.
You are unable to create a S3 bucket with bucket name which is in use by another AWS customer or your own account.
So it’s safer to let CloudFormation generate a random bucket name for a developer when he need to initialize a S3 bucket.
However, there is new a problem I face: since the S3 bucket name is randomly generated characters, if GlueStack
need to read the bucket created by ServiceStack
, how could I share the bucket name between two stacks?
While these two stacks are isolated and separated, resources collection.
3 Solution
Fortunately, CDK offers a facility named CfnOutput
to export a deployed resource, so that the consumer of the resource is able to Import
required resource.
- Define the required resource in
ServiceStack
(producer), for instance, a S3 bucket:1 2 3
import { Bucket } from 'aws-cdk-lib/aws-s3'; const s3Bucket = new Bucket(this, 'MyBucketId', {});
- Export the resource by specifying the
value
andexportName
:1 2 3 4 5 6 7
import { CfnOutput } from 'aws-cdk-lib'; // export the generated bucket name to other stack new CfnOutput(this, 'exportRequiredS3Bucket', { value: s3Bucket.bucketName, exportName: 'exportRequiredS3Bucket', });
- Import the required resource in
GlueStack
(consumer):1 2 3
import { Fn} from 'aws-cdk-lib'; const requiredS3BucketName = Fn.importValue('exportRequiredS3Bucket');
If we take a closer look at the synthesized CFN template for ServiceStack, we could find:
|
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The synthesized CFN template for GlueStack
:
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This is the way about how to share value between two stacks.
4 Loose couping solution
Updated on 2023-12-02
People learn from mistake.
After applying this practice in my project, I recently learn that it’s not good practice to share resource across stack.
With using export/import
, I tightly couple my stacks with a commitment that I can never update that unless I remove that couping later on.
It means it will become a disaster1 whenever I need to update/delete the S3Bucket
, CloudFormation
will raise an error, complaining something like: “ServiceStack cannot be deleted as it’s in use by GlueStack”.
A better practice I learnt is adding a loose couping between ServiceStack
and GlueStack
by sharing a constant variable:
Define a constant variable somewhere:
1 2 3
export const Constants = { MyBucketName: 'TestBucket' }
Refine the definition of
s3Bucket
1 2 3 4 5
import { Bucket } from 'aws-cdk-lib/aws-s3'; const s3Bucket = new Bucket(this, 'MyBucketId', { bucketName: Constants.MyBucketName, });
Refer the
s3Bucket
inGlueStack
byMyBucketName
instead of CDK exported reference1
const requiredS3BucketName = Constants.MyBucketName;
Therefore, these two stacks are not directly coupled, but they are referencing the same constant variable.
Then, CloudFormation won’t prevent you from updating the S3Bucket
as there is not direct relation between these two stacks anymore.
This is the benefit of loose couping.