Infra at Netflix
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a common ML infrastructure which would help our data scientists to iterate on these projects faster and more effectively.
Hypothesis:
Our working hypothesis is that there isn’t a one-size-fits-all approach when it comes to ML testing or monitoring. Instead, we want to provide easy building blocks and patterns for data scientists which they can use to tailor a testing approach that works for their use case.
How to build an infra?
Summarize the main issues. 1. Optimize elements 2. Enhance quality of streaming
Could have multiple infra for different use case (high volume / wide variety etc)
MetaFlow
