Source: aws.amazon.com
Implementing automatic drift detection in CDK Pipelines using Amazon EventB
The https://aws.amazon.com/cdk/ is a popular open source toolkit that allows developers to create their cloud infrastructure using high level programming languages. The pipeline deploys a given CDK application as one or more https://aws.amazon.com/cloudformation/ stacks.
In this blog post you will see how CloudFormation drift detection can be integrated as a pre-deployment validation step in CDK Pipelines using an event driven approach.
The CDK Pipelines stack defines a pipeline with a CodeCommit source and drift detection step integrated into it.
A Lambda function that implements drift detection step A DynamoDB table that holds drift_detection_id and pipeline_job_id An Event bridge rule to capture “CloudFormation Drift Detection Status Change” event A callback lambda function that evaluates status of drift detection and sends status back to the pipeline by looking up the data captured in DynamoDB.
In this blog post you will see how CloudFormation drift detection can be integrated as a pre-deployment validation step in CDK Pipelines using an event driven approach.
The CDK Pipelines stack defines a pipeline with a CodeCommit source and drift detection step integrated into it.
A Lambda function that implements drift detection step A DynamoDB table that holds drift_detection_id and pipeline_job_id An Event bridge rule to capture “CloudFormation Drift Detection Status Change” event A callback lambda function that evaluates status of drift detection and sends status back to the pipeline by looking up the data captured in DynamoDB.
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