Building real world recommendation systems at scale

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com
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  • metaflow

    :rocket: Build and manage real-life ML, AI, and data science projects with ease!

  • vitess

    Vitess is a database clustering system for horizontal scaling of MySQL.

    • > . As far as I'm aware Facebook's ad platform is mostly backed by hundreds of thousands of Mysql instances.

    Same for YouTube https://www.mysql.com/customers/view/?id=750 and they use Vitess for horizontal scaling: https://vitess.io/

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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