A python based package that enables AWS CDK parallel stack deployments.
One of the biggest downsides of AWS CDK IaC tool is the sequential deployments.
If you have many stacks within your project - it can take hours and hours till
everything gets deployed. Wouldn't it be cool to parallelize them? According to
AWS CDK tool maintainers - they are not even thinking right now to include such
functionality. Hence, this project was built. This project allows you to run
traditional cdk deploy * and cdk destroy * -f. But the main trick is that it
can do it in parallel - massively increasing the speed of your deployments.
Biomapas aims to modernise life-science industry by sharing its IT knowledge with other companies and the community. This is an open source library intended to be used by anyone. Improvements and pull requests are welcome.
Some techniques and inspirations were taken from this blog post:
https://taimos.de/blog/deploying-your-cdk-app-to-different-stages-and-environments
General issue is being discussed on github:
aws/aws-cdk#1973
- Python 3
- AWS CDK
- AWS CloudFormation
The project assumes the following:
- You have basic-good knowledge in python programming.
- You have basic-good knowledge in AWS.
- You have very good knowledge in AWS CDK.
-
Read more AWS CDK:
https://github.com/aws/aws-cdk -
Read more about parallel AWS CDK deployments:
https://taimos.de/blog/deploying-your-cdk-app-to-different-stages-and-environments
The project is built and uploaded to PyPi. Install it by using pip.
pip install b_aws_cdk_parallel
Or directly install it through source.
pip install .
The quickest and easiest example:
from b_aws_cdk_parallel.deployment_executor import DeploymentExecutor
from b_aws_cdk_parallel.deployment_type import DeploymentType
executor = DeploymentExecutor(type=DeploymentType.DEPLOY)
executor.run()
executor = DeploymentExecutor(type=DeploymentType.DESTROY)
executor.run()The more advanced example to deploy/destroy:
from b_aws_cdk_parallel.deployment_executor import DeploymentExecutor
from b_aws_cdk_parallel.deployment_type import DeploymentType
from b_aws_cdk_parallel.cdk_arguments import CdkArguments
executor = DeploymentExecutor(
type=DeploymentType.DEPLOY, # Or DESTROY
# You can specify a full path to your CDK app.
path='/optional/path/to/cdk/app',
# You can specify OS-level global parameters.
env={
'optional': 'os-level environment variables'
},
# You can specify AWS-CDK-specific arguments.
cdk_arguments=CdkArguments(
aws_cdk_app_stacks_to_deploy=['MyCoolStack'],
aws_cdk_app_parameters=['Test1=Test1'],
aws_cdk_app_context=['Context1=Context1']
)
)
executor.run()The library generates beautiful stack dependency outputs for easier debugging:
----- Stack dependency graph: -----
» Stack1: []
× Stack2: [Stack1]
× Stack3: [Stack1]
× Stack4: [Stack1, Stack2, Stack3]
× Stack5: [Stack1, Stack4]
» Stack8: []
× Stack7: [Stack1, Stack2, Stack3, Stack4, Stack5]
× Stack6: [Stack1, Stack7]
× Stack10: [Stack1, Stack6, Stack7]
× Stack9: [Stack1, Stack8]
» B-Aws-Cdk-Parallel-MainStack-3: []
[Stack2] Doing stuff...
[Stack2] Doing stuff...
[Stack4] Doing stuff...
[Stack3] Doing stuff...
The library also exposes CLI access.
To get usage help, simply run:
acdk -h
To deploy infrastructure, run:
acdk deploy --path /project/app/
To destroy infrastructure, run:
acdk destroy --path /project/app/
This project has integration tests based on pytest. To run tests, simply run:
pytest b_aws_cdk_parallel_test/integration/tests
Found a bug? Want to add or suggest a new feature?
Contributions of any kind are gladly welcome. You may contact us
directly, create a pull-request or an issue in github platform.
Lets modernize the world together.