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Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can come join us.
By 2001, we won our first loyal customers. For nearly fifteen years (~ 2001-2015), network traffic effectively served as a common API for measuring usage, performance, and availability of all applications, links, and clients. Application availability and performance measured using network probe technology.
Both the financial and real economies have suffered quite a few shocks in the last 20 years: the dot-com bubble bursting (2000); September 11 (2001); the Great Recession (2008); and today in 2020 the COVID-19 crisis is wreaking economic havoc. Social media was just coming into its own.
Just as the Netflix product itself has evolved over the years, our approach to developing technologies to support experimentation at scale continues to evolve. our first investments in tooling to support A/B tests came way back in 2001. Early experimentation tooling at Netflix, from 2001.
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