Netflix has unveiled a new Config object in its Metaflow machine learning infrastructure, addressing challenges in managing thousands of unique ML workflows.
The introduction of the Config feature allows for a unified method to configure flow behavior, enhancing control over deployment settings and decorators.
Configs are resolved during flow deployment, differing from artifacts and parameters, which are resolved at task's end and start, respectively.
Netflix's use of TOML files for configs simplifies the management of flow aspects, offering a human-readable format for configuration.
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