Metadata-Version: 2.1
Name: b_aws_cdk_parallel
Version: 2.3.0
Summary: Package that enables deployment of AWS CDK stacks in parallel.
Home-page: https://github.com/biomapas/B.AwsCdkParallel.git
Author: Laimonas Sutkus
Author-email: laimonas.sutkus@biomapas.com
License: Apache License 2.0
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](https://biomapas.com) 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:<br>
        https://taimos.de/blog/deploying-your-cdk-app-to-different-stages-and-environments
        
        General issue is being discussed on github:<br>
        https://github.com/aws/aws-cdk/issues/1973
        
        ### 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
        
        - Read more AWS CDK:<br>
        https://github.com/aws/aws-cdk
          
        - Read more about parallel AWS CDK deployments:<br>
        https://taimos.de/blog/deploying-your-cdk-app-to-different-stages-and-environments
        
        ### 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
        
        #### Programmatic usage
        
        The quickest and easiest example:
        
        ```python
        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:
        
        ```python
        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...
        ```
        
        #### CLI usage
        
        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/
        ```
        
        ### Testing
        
        This project has integration tests based on pytest. To run tests, simply run:
        
        ```
        pytest b_aws_cdk_parallel_test/integration/tests
        ```
        
        ### Contribution
        
        Found a bug? Want to add or suggest a new feature?<br>
        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
        
        ### 2.3.0
        * Improve parallel stack deployments by introducing `--exclusively` flag.
        * Make dependencies graph beautiful.
        * Output beautiful stack names (not aws cdk generated names).
        * Fix --path CLI bug.
        
        ### 2.2.0
        * Support "--parameters".
        * Support "--context".
        * Support specifying stacks.
        * Add a lot more tests.
        
        ### 2.1.0
        * Expose CLI command `acdk` to enable deployment/destruction through CLI.
        
        ### 2.0.0
        * Major bug fixes for resolving stack dependencies. The algorithm for parallel stack destruction has fundamentally changed.
        * Added integration tests to test against an actual AWS environment.
        * More improvements will come for 2.1.0.
        
        ### 1.3.0
        * Do not rebuild assets on destroy.
        
        ### 1.2.0
        * Do not rebuild assets on deployment.
        
        ### 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.
        
Keywords: AWS IAC CDK Parallel
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
