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How to Pass Variables from CodeBuildStep to a Stack in AWS CDK Pipeline

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Learn how to pass variables effectively from CodeBuildStep to a LambdaStack in your CDK pipeline while avoiding infinite loops during deployment.
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Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Pass variable from CodeBuildStep to stack in Stage
If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Passing Variables from CodeBuildStep to Stack in AWS CDK Pipeline
When building a Continuous Deployment (CD) pipeline using AWS CDK, one common challenge developers face is effectively passing environment variables from a CodeBuildStep to various stages, particularly when deploying resources like an AWS Lambda function. In this guide, we will dive into a scenario where this process can lead to configuration issues, specifically an infinite deployment loop.
The Challenge
Imagine you have developed a basic CDK pipeline intended to automate the deployment of a Lambda function. As part of your pipeline, you want to:
Build the Lambda function, generating a zip file
Deploy the artifact to AWS CodeArtifact
Deploy the zip file to the Lambda function, reflecting the updated version
However, when trying to pass the extracted version number (referred to as LAMBDA_SNAPSHOT_VERSION_ID) from the CodeBuildStep to the LambdaStack, you encounter an infinite loop in the deployment process.
The Root Cause of the Problem
Solution to the Infinite Loop Issue
Step-by-Step Solution
Update Code to Use TreeMap:
Modify the method that creates your environment variable map so that it utilizes TreeMap. Here’s an updated version of the method:
[[See Video to Reveal this Text or Code Snippet]]
Utilize CDK Diff:
Incorporate cdk diff in your synthesis step to identify changes to the pipeline configuration. This will help troubleshoot potential issues before executing the deployments.
[[See Video to Reveal this Text or Code Snippet]]
Test Your Changes:
After incorporating the necessary changes, test your pipeline to ensure that it no longer enters an infinite loop and performs as expected.
Conclusion
If you still encounter issues or have questions about AWS CDK or CodeBuild, feel free to leave a comment below!
---
Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Pass variable from CodeBuildStep to stack in Stage
If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
---
Passing Variables from CodeBuildStep to Stack in AWS CDK Pipeline
When building a Continuous Deployment (CD) pipeline using AWS CDK, one common challenge developers face is effectively passing environment variables from a CodeBuildStep to various stages, particularly when deploying resources like an AWS Lambda function. In this guide, we will dive into a scenario where this process can lead to configuration issues, specifically an infinite deployment loop.
The Challenge
Imagine you have developed a basic CDK pipeline intended to automate the deployment of a Lambda function. As part of your pipeline, you want to:
Build the Lambda function, generating a zip file
Deploy the artifact to AWS CodeArtifact
Deploy the zip file to the Lambda function, reflecting the updated version
However, when trying to pass the extracted version number (referred to as LAMBDA_SNAPSHOT_VERSION_ID) from the CodeBuildStep to the LambdaStack, you encounter an infinite loop in the deployment process.
The Root Cause of the Problem
Solution to the Infinite Loop Issue
Step-by-Step Solution
Update Code to Use TreeMap:
Modify the method that creates your environment variable map so that it utilizes TreeMap. Here’s an updated version of the method:
[[See Video to Reveal this Text or Code Snippet]]
Utilize CDK Diff:
Incorporate cdk diff in your synthesis step to identify changes to the pipeline configuration. This will help troubleshoot potential issues before executing the deployments.
[[See Video to Reveal this Text or Code Snippet]]
Test Your Changes:
After incorporating the necessary changes, test your pipeline to ensure that it no longer enters an infinite loop and performs as expected.
Conclusion
If you still encounter issues or have questions about AWS CDK or CodeBuild, feel free to leave a comment below!