This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
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. In 2012, we anticipated the shifts towards cloud infrastructures and microservices.
This COMPUTERWORLD article from 2001 provides some insights about early Visa payment processing infrastructure. Way before Google-scale or Facebook-scale existed, there was Visa-scale.
Two Test of Time awards went to: “Speculative Lock Elision: Enabling Highly Concurrent Multithreaded Execution” published at MICRO 2001 by Ravi Rajwar and James R. The best paper runner-up was “ Dynamic Multi-Resolution Data Storage ”. .
It only took a couple of years for tech to recover from the 2001 dot-com crash. The rising tide has lifted a lot of tech boats, from infrastructure to SaaS to service providers. In the wake of the 2008 financial crisis, companies contracted their labor forces and locked in productivity gains with new tech.
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.
our first investments in tooling to support A/B tests came way back in 2001. Early experimentation tooling at Netflix, from 2001. In fact, we’ve been working to improve experimentation platform solutions at Netflix for more than 20 years?—?our
We organize all of the trending information in your field so you don't have to. Join 5,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content