MLOps · Level 3 of 5
Shadow Deployment
Running a model on live inputs without letting its outputs control user-facing decisions.
It tests operational behavior while limiting direct decision impact.
Example
A candidate model predicts alongside the active model for later comparison.
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Shadow Deployment. Running a model on live inputs without letting its outputs control user-facing decisions. It tests operational behavior while limiting direct decision impact. For example: A candidate model predicts alongside the active model for later comparison.
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This helps you connect experiments to reliable and traceable production behavior.
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