aws-serverless-data-lake-framework
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Pulling all ssm parameters rather than checking to see if it exist.
https://github.com/awslabs/aws-serverless-data-lake-framework/blob/19fb396208f2f5d759432126095b62f3d85c60c6/sdlf-team/lambda/pipelines-dynamodb/src/lambda_function.py#L46
This doesn't seem to be the most efficient way to tackle this task.
Currently it pulls all the SSM parameters for the team then checks to see if the pipeline exist, if not then create.
is there a reason the function isn't grabbing the parameters directly to see if they exist, if not then create?
for example
def exist_ssm_param(param_name: str) -> bool: ssm = boto3.client('ssm', region_name='us-east-1') try: response = ssm.get_parameter( Name=param_name ) return True except ssm.exceptions.ParameterNotFound: return False