Rollout Strategies

Rollout strategies for ML Models

The typical rollout strategy for kubernetes is a rolling update, where traffic is moved over from a live version to a new version when the new version is ready. For Machine Learning it is common to perform more complex rollouts where traffic is split between versions of a model in a customized way.

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