Amazon SageMaker Feature Store adds operational metrics to easily monitor feature groups

[AWS]

Amazon SageMaker Feature Store is a fully managed,  purpose-built repository to store, update, search, and share machine learning (ML) features. The service provides feature management capabilities such as enabling easy feature reuse, low latency serving, time travel, and ensuring consistency between features used in training and inference. Until today, SageMaker Feature Store monitoring was limited to consumed read and write units, which gave a limited view of the operational efficiency of the feature store.

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