AWS Machine Learning Blog
Tag: Shadow Testing
Minimize the production impact of ML model updates with Amazon SageMaker shadow testing
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 issues before they impact end-users. With […]