AWS CDK Python Examples

This repository contains a set of AWS Cloud Development Kit Python examples with architecture diagrams for frequently used AWS services.

Example	Description	Tags
api-gateway/cognito-api-lambda		api-gateway, cognito, lambda
api-gateway/dynamodb		api-gateway, dynamodb
api-gateway/dynamodb-cognito		api-gateway, cognito, dynamodb
api-gateway/http-dynamodb-crud-api		api-gateway(HTTP API), dynamodb, lambda
api-gateway/kds-proxy		api-gateway, kinesis data streams
api-gateway/kds-proxy-cognito		api-gateway, cognito, kinesis data streams
api-gateway/logging-api-calls-to-firehose		api-gateway, kinesis data firehose
api-gateway/logging-api-calls-to-cloudwatch-logs		api-gateway, cloudwatch logs subscription filters with kinesis data firehose
athena		athena (named query, work group), s3
batch/batch-with-ec2	Launch AWS Batch	aws batch
bedrock/opensearch-serverless	Launch Knowledge Bases for Amazon Bedrock using Amazon OpenSearch Serverless as a vector store	amazon bedrock, knowledge bases, opensearch serverless
bedrock/generative-ai-cdk-constructs	Launch Knowledge Bases for Amazon Bedrock	amazon bedrock, knowledge bases
cloud9		cloud9
cloudfront/static-site		cloudfront
cognito	Deploy Amazon Cognito that is an identity platform for web and mobile apps	cognito
custom-resources/sagemaker-jumstart-model-deploy	Deploy SageMaker JumpStart Model with CDK Custom Resources	sagemaker jumpstart, cdk custom-resources
dms/aurora_mysql-to-kinesis		dms, mysql, kinesis
dms/aurora_mysql-to-s3		dms, mysql, s3
dms-serverless/aurora_mysql-to-kinesis		dms serverless, mysql, kinesis
dms-serverless/aurora_mysql-to-s3		dms serverless, mysql, s3
documentdb		documentdb(docdb), secerts manager, sagemaker
documentdb-elastic-clusters		documentdb elastic clusters(docdb-elastic), secerts manager
dynamodb		dynamodb
ec2/vpc		vpc
ec2/import-existing-vpc		vpc
ec2/jenkins-on-ec2		jenkins, ec2
ec2/jupyter-on-dlami	Launch Jupyter Server on Amazon Deep Learning AMI	jupyter, ec2, DLAMI
ec2/dlami-wth-aws-neuron	Launch Jupyter Server on Amazon Deep Learning AMI with AWS Neuron	jupyter, ec2, DLAMI, AWS Neuron
ec2/stable-diffusion-webui-on-dlami		Stable Diffusion WebUI, ec2, DLAMI
ecr	upload Docker image into Amazon ECR Repository	ecr
ecs-patterns/alb-fargate-service		ecs patterns, Application Loadbalancer Fargate Service
ecs-patterns/nlb-fargate-service		ecs patterns, Network Loadbalancer Fargate Service
elasticache/redis		redis
elasticache/redis-primary-replica		redis primary-replica cluster
elasticache/redis-cluster		redis-cluster
elasticache-serverless/serverless-redis-cluster		ElastiCache Serverless for Redis
elasticsearch		elasticsearch
opensearch/cfn-domain		opensearch created with cdk.aws_opensearch.CfnDomain construct
opensearch/domain		opensearch created with cdk.aws_opensearch.Domain construct
opensearch-serverless/search		opensearch serverless for search usecases
opensearch-serverless/time-series		opensearch serverless for time series analysis
opensearch-serverless/vpc-endpoint		opensearch serverless in VPC
opensearch-serverless/kinesis-firehose		data ingestion to opensearch serverless using kinesis firehose
opensearch-ingestion/opensearch		data ingestion to opensearch domain using OpenSearch Ingestion Pipelines
opensearch-ingestion/opensearch-serverless		data ingestion to opensearch serverless using OpenSearch Ingestion Pipelines
emr		emr, Hive, Spark, JupyterHub, Hudi, Iceberg
emr-serverless		emr serverless
emr-studio	Launch an Amazon EMR Studio	emr studio
glue/cdc-parquet-to-apache-iceberg		aws glue, Apache Iceberg, Parquet
glue/cdc-streams-to-apache-iceberg		aws glue streaming, Apache Iceberg
glue/streaming-etl/sink-to-s3		aws glue streaming, kinesis data streams, s3, parquet
glue/streaming-etl/sink-to-deltalake		aws glue streaming, kinesis data streams, s3, Delta Lake
glue/streaming-etl/sink-to-hudi		aws glue streaming, kinesis data streams, s3, Apache Hudi
glue/streaming-etl/sink-to-iceberg		aws glue streaming, kinesis data streams, s3, Apache Iceberg
glue/streaming-etl/kafka-to-iceberg		aws glue streaming, Managed Service for Apache Kafka (MSK), s3, Apache Iceberg
glue/streaming-etl/msk-serverless-to-iceberg		aws glue streaming, MSK Serverless, s3, Apache Iceberg
kendra/webcrawler-datasource		kendra, lambda
keyspaces-cassandra		amazon keyspaces, cassandra
kinesis-data-firehose/data-transform		kinesis firehose, lambda, s3, schema-validation
kinesis-data-firehose/dynamic-partitioning/inline		kinesis firehose, s3, dynamic-partitioning, jq
kinesis-data-firehose/dynamic-partitioning/lambda		kinesis firehose, s3, dynamic-partitioning, lambda
kinesis-data-firehose/ekk-stack		kinesis firehose, s3, Elasticsearch, bastion host
kinesis-data-firehose/opskk-stack		kinesis firehose, s3, OpenSearch, bastion host
kinesis-data-firehose/msk-firehose-s3-stack		msk, kinesis firehose, s3, bastion host
kinesis-data-firehose/msk-serverless-firehose-s3-stack		msk serverless, kinesis firehose, s3, bastion host
kinesis-data-firehose/firehose-to-iceberg-stack		kinesis firehose, lambda, s3, Apache Iceberg
kinesis-data-streams/to-kinesis-data-firehose		kinesis data streams, kinesis firehose, s3
kinesis-data-analytics-for-flink/msk-replication		kinesis data analytics for flink, msk
lakeformation	Granting AWS Lake Formation permissions on Data Catalog Resources	glue data catalog, lakeformation
lambda/alb-lambda		lambda, application load balancer
lambda/alb-path-routing-lambda		lambda, application load balancer
lambda/async-invoke		lambda, sns, event-bridge
lambda/lambda-custom-container		lambda, ecr, custom container
memorydb-for-redis		memorydb
memorydb-for-redis for vector search		memorydb for vector search
msk		msk(kafka)
msk_aplha		msk(kafka)
msk-serverless		msk serverless(kafka)
mwaa(airflow)		mwaa(airflow)
neptune		sagemaker, neptune
neptune-serverless		sagemaker, neptune serverless
neptune-analytics		sagemaker, neptune-analytics
rds/aurora_mysql		aurora mysql, secrets manager
rds/aurora_postgresql		aurora postgresql, secrets manager
rds/mariadb		mariadb, secrets manager
rds/rds_proxy-aurora_mysql		rds-proxy, aurora mysql, secrets manager
rds/nginx-rds_proxy-aurora_mysql		NGINX, aurora mysql, secrets manager
rds/sagemaker-aurora_mysql		aurora mysql, secrets manager, sagemaker notebook
rds/sagemaker-aurora_postgresql		aurora postgresql, secrets manager, sagemaker notebook
rds/sagemaker-studio-aurora_postgresql		aurora postgresql, secrets manager, sagemaker studio in vpc
aurora_serverless_v1/aurora_mysql-serverless_v1		aurora mysql serverless v1 cluster, secrets manager
aurora_serverless_v2/aurora_mysql-serverless_v2-replica		aurora mysql serverless v2, aurora mysql, secrets manager
aurora_serverless_v2/aurora_postgresql-serverless_v2		aurora postgresql serverless v2 cluster, secrets manager
redshift/cfn		redshift
redshift/alpha		redshift
redshift-serverless		redshift-serverless
redshift-streaming-ingestion/from-kinesis		redshift streaming ingestion from kinesis
redshift-streaming-ingestion/from-msk		redshift streaming ingestion from msk
redshift-streaming-ingestion/from-msk-serverless		redshift streaming ingestion from msk serverless
sagemaker/notebook	Launch an Amazon SageMaker Notebook Instance	sagemaker notebook instance
sagemaker/studio		sagemaker studio
sagemaker/studio-in-vpc		sagemaker studio in a Private VPC
sagemaker/fsx-lustre	Training Jobs with FileSystemInput using Amazon FSx for Lustre	sagemaker studio, FSx for Lustre (FSxLustre)
sagemaker/sagemaker-glue		sagemaker studio, aws glue
sagemaker/mlflow-ec2-sagemaker		MLflow, sagemaker studio
sagemaker/mlflow-ecs-sagemaker		MLflow, ecs, fargate, sagemaker studio
sagemaker-async-inference/jumpstart	Asynchronous Inference using SageMaker JumpStart	sagemaker async endpoint, jumpstart
sagemaker-async-inference/hugging-face	Asynchronous Inference using Hugging Face DLC	sagemaker async endpoint, hugging face
sagemaker-async-inference/pytorch	Asynchronous Inference using PyTorch DLC	sagemaker async endpoint, pytorch
sagemaker-realtime-inference/jumpstart	Real-time Inference using SageMaker JumpStart	sagemaker real-time endpoint, jumpstart
sagemaker-realtime-inference/hugging-face	Real-time Inference using Hugging Face DLC	sagemaker real-time endpoint, hugging face
sagemaker-realtime-inference/pytorch	Real-time Inference using PyTorch DLC	sagemaker real-time endpoint, pytorch
sagemaker-inference-component		sagemaker real-time endpoint, inference component, multiple FMs on the same instance

Enjoy!

Useful commands

• npm install -g aws-cdk Install the AWS CDK Toolkit (the cdk command).
• npm install -g aws-cdk@latest Install the latest AWS CDK Toolkit (the cdkcommand).
• cdk init app --language python Create a new, empty CDK Python project.
• cdk bootstrap --profile <AWS Profile> Deploys the CDK Toolkit staging stack; see Bootstrapping

How to fetch specific source directories

This repository is huge, containing a vast number of files, making it a monorepo. Consequently, if you wish to fetch specific source directories instead of downloading the entire repository, we recommend using the git sparse-checkout command.

For example, let's say you want to clone the cognito-api-lambda project in api-gateway directory.

In that case, open your terminal and run the following command.

git clone https://github.com/ksmin23/my-aws-cdk-examples.git
cd my-aws-cdk-examples
git sparse-checkout init --cone
git sparse-checkout set api-gateway/cognito-api-lambda

ℹ️ For more information about git sparse-checkout, see this article.

References

• Working with the AWS CDK
• Your first AWS CDK app
• AWS CDK v2 Reference Documentation
• AWS CDK Toolkit (cdk command)
• AWS CDK Workshop
• Construct Hub: Open-source CDK libraries
• aws-samples/aws-cdk-examples
• CDK Resources - A collection of tools to help during the development of CDK applications.
• Awesome CDK - Curated list of awesome AWS Cloud Development Kit (AWS CDK) open-source projects, guides, blogs and other resources.
• AWS CloudFormation quotas - Check out AWS CloudFormation quotas when you encounter limitation errors when authoring templates and creating stacks.