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From notebooks to Netflix scale with Metaflow
Practical AI: Machine Learning, Data Science, LLM
The philosophy behind using Metaflow for solving scale and infrastructure problems
The philosophy behind Metaflow is to allow teams to use different tools for monitoring and experiment management, but it doesn't solve scalability and workflow running problems. Metaflow is designed with a cloud-first mindset, allowing users to easily run code on servers. It abstracts the underlying infrastructure using containers, making resource management easier.
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