Skip to main content

Package that enables deployment of AWS CDK stacks in parallel.

Project description

B.AwsCdkParallel

A python based package that enables AWS CDK parallel stack deployments.

Description

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.

Remarks

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.

Related technology

  • Python 3
  • AWS CDK
  • AWS CloudFormation

Assumptions

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.

Useful sources

Install

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 .

Usage & Examples

from parallel.deployment_executor import DeploymentExecutor
from parallel.deployment_type import DeploymentType

if __name__ == '__main__':
    executor = DeploymentExecutor(type=DeploymentType.DEPLOY)
    executor.run()

Testing

This project currently has no tests.

Contribution

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.

Release history

1.1.0

  • Add ability to control maximum parallel deployments.

1.0.0

  • Complete rework of the project. Build a dependency tree to determine what to deploy.

0.4.1

  • Raise exception in case of a failed deployment.

0.4.0

  • Cdk list command should also receive path and environment.

0.3.0

  • Add ability to specify CDK path and environment variables for processes.

0.2.0

  • Add ability to retry main deployment too.

0.1.0

  • Refactor project to make it more debug-friendly.

0.0.2

  • Upgrade dependencies.

0.0.1

  • Initial build.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

b_aws_cdk_parallel-1.1.0.tar.gz (10.5 kB view details)

Uploaded Source

Built Distribution

b_aws_cdk_parallel-1.1.0-py3-none-any.whl (11.3 kB view details)

Uploaded Python 3

File details

Details for the file b_aws_cdk_parallel-1.1.0.tar.gz.

File metadata

  • Download URL: b_aws_cdk_parallel-1.1.0.tar.gz
  • Upload date:
  • Size: 10.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.23.0 setuptools/47.0.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.5

File hashes

Hashes for b_aws_cdk_parallel-1.1.0.tar.gz
Algorithm Hash digest
SHA256 664ae94f0a040784f555716061f60dcf53b715d7a6fe219f921e2debf067a5ce
MD5 162b34c60029231b3d54760b1c4d9272
BLAKE2b-256 466830139c57a43e2979e4e949fe80825d7751843e2cc7ee205bd62a980db9b1

See more details on using hashes here.

File details

Details for the file b_aws_cdk_parallel-1.1.0-py3-none-any.whl.

File metadata

  • Download URL: b_aws_cdk_parallel-1.1.0-py3-none-any.whl
  • Upload date:
  • Size: 11.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.1 requests/2.23.0 setuptools/47.0.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.8.5

File hashes

Hashes for b_aws_cdk_parallel-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 7edc2c98e9cc0fb9e4c0cbaf3a290ebee0149c08e693cdbf0361bbe7c12d0f5b
MD5 2d29d6dcead1ff7f342fd64801f85d89
BLAKE2b-256 d0095f17576d7c53e8835c6a87c447a69c6c5eb33d233a6f5a588d77bf992c47

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page