Terraform and CDK (CDKTF)

Deployed AWS Infrastructure with Python + Terraform CDKTF

PROBLEM

I wanted to create an AWS S3 bucket using Python + CDKTF instead of writing Terraform HCL. I also needed versioning, encryption, public access fizefsh, and proper tags.

HOW I DEBUGGED IT

First, I checked my AWS access. I checked the Python and package versions first.

Instead of changing the system Python,

I created a virtual environment (venv) and installed the required packages there.

Normal/system Python → you tried it → it did NOT work

Python venv → you tried it → it WORKED   Then I tested the Python code and ran

cdktf synth

After that, I ran:

cdktf diff       to make sure everything looked right before deployment.

THE SOLUTION

cdktf deploy

The S3 bucket was created successfully with versioning, encryption, public access blocked, and proper tags.

Has anyone else faced this problem?

Have you used Python + CDKTF for AWS infrastructure?

How did you fix it?

Note: All infrastructure images, official docs, and videos links  are included on the last page
**GitHub:**https://github.com/ksaivishnusaikvs/DevOpsEngineering/tree/main/Linkedin

2. Prerequisites

Ubuntu EC2 instance, Python 3, pip, Node.js/npm, CDKTF CLI, Terraform CLIAWS CLIAWS credentials or an IAM role with permission to create the required S3 resources

Verify AWS Access aws sts get-caller-identity

Step 1: Create infrastructure: Create the CDKTF Project

cd ~
rm -rf prod-s3
mkdir prod-s3
cd prod-s3
python3 -m venv .venv
source .venv/bin/activate

pip install --upgrade pip
pip install cdktf constructs cdktf-cdktf-provider-aws

STEP2:  Create the CDKTF configuration

cat > cdktf.json <<'EOF'
{
  "language": "python",
  "app": "python3 main.py"
}
EOF

This tells CDKTF that the application entry point is main.py and that Python is the projectlanguage.

Step 3: Write code for infra Python Infrastructure Code. Create the infrastructure file

from cdktf import App, TerraformStack
from constructs import Construct

from cdktf_cdktf_provider_aws.provider import AwsProvider
from cdktf_cdktf_provider_aws.s3_bucket import S3Bucket
from cdktf_cdktf_provider_aws.s3_bucket_versioning import S3BucketVersioningA
from cdktf_cdktf_provider_aws.s3_bucket_public_access_block import (
	S3BucketPublicAccessBlock
)
from cdktf_cdktf_provider_aws.s3_bucket_server_side_encryption_configuration import (
    S3BucketServerSideEncryptionConfigurationA
)


class ProdS3Stack(TerraformStack):

	def __init__(self, scope: Construct, stack_id: str):
    	super().__init__(scope, stack_id)

    	# AWS provider
    	AwsProvider(
        	self,
        	"aws",
        	region="ap-south-1"
    	)

    	# S3 bucket
    	bucket = S3Bucket(
        	self,
        	"prod-bucket",
            bucket="kv-prod-s3-demo-20260909",
        	tags={
            	"Environment": "prod",
            	"Application": "my-app",
            	"ManagedBy": "cdktf"
        	}
    	)

    	# Versioning
    	S3BucketVersioningA(
        	self,
        	"versioning",
        	bucket=bucket.id,
        	versioning_configuration={
            	"status": "Enabled"
        	}
    	)

    	# Block public access
    	S3BucketPublicAccessBlock(
        	self,
        	"public-access",
        	bucket=bucket.id,
        	block_public_acls=True,
        	block_public_policy=True,
        	ignore_public_acls=True,
        	restrict_public_buckets=True
    	)

    	# Server-side encryption
        S3BucketServerSideEncryptionConfigurationA(
        	self,
        	"encryption",
        	bucket=bucket.id,
        	rule=[
            	{
                    "apply_server_side_encryption_by_default": [
                    	{
                            "sse_algorithm": "AES256"
                    	}
                	]
            	}
        	]
    	)


app = App()

ProdS3Stack(app, "prod-s3")

app.synth()

Step 4: What the Python Code Creates

AWS Provider: Uses ap-south-1 as the AWS region.

S3 Bucket: Creates the production bucket.

Tags: Adds Environment, Application, and ManagedBy tags for ownership and FinOps tracking.

Versioning: Keeps object versions so accidental changes/deletions can be recovered.

Public Access Block: Blocks public ACLs and public bucket policies.

Encryption: Enables S3 server-side encryption using AES256.

Step5:   python3 main.py

Test the Python Code. If there is no Python traceback/error, the CDKTF application code is valid enough to synthesize.

Step6: cdktf synth CDKTF converts the Python infrastructure definition into Terraform configuration under the generated CDKTF output.

Step7: cdktf diff Review the resources before deployment. In the successful setup, the plan showed 4 resources to add and 0 to change or destroy.

Step8: cdktf deploy When CDKTF asks for approval, choose Approve/yes. Terraform then creates the AWS resources

Step 9: See the image below; infra was created with Terraform/CDKTF using Python, and the data was validated

Step 10: Verify whether the S3 Bucket  infra is created or not in the cloud are not state file  create not in local

Step 11: Verify in the cloud ui the infrastructure resource is crete are not  in cloud UI

my s3 create throw CDKTF; name: s3    kv-prod-s3-demo-20260909

TAGS show the Terraform file; compare the two images

compare the tags in the below image both are matched

bucker version has enable

block the public acess

encryption has enabled

REFDOC:

Hashicorp Ofiical : https://developer.hashicorp.com/terraform/cdktf

AWS: https://aws.amazon.com/blogs/opensource/announcing-cdk-for-terraform-on-aws/

installsteps: 1:https://spacelift.io/blog/terraform-cdk

2:https://dev.to/aws-builders/cdk-for-terraform-cdktf-on-aws-how-to-configure-an-s3-remote-backend-and-deploy-a-lambda-function-url-using-python-3okk

CDKTF official HashiCorp channel: https://www.youtube.com/watch?v=Y9suaDVT-SY&t=27s

https://developer.hashicorp.com/terraform/tutorials/cdktf/cdktf-install

DOCsteps:  https://spacelift.io/blog/terraform-cdk