Minimize the production impact of ML model updates with Amazon SageMaker shadow testing
Favorite Amazon SageMaker now allows you to compare the performance of a new version of a model serving stack with the currently deployed version prior to a full production rollout using a deployment safety practice known as shadow testing. Shadow testing can help you identify potential configuration errors and performance
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Shared by AWS Machine Learning December 1, 2022