# Infra at Netflix 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 ![](/files/-MLfqb5XRyAtkbYi3jsO) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://lwang010.gitbook.io/longw/mlops/chap-7.-keep-updated/comments/infra-at-netflix.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.