Engineering

It’s Time to Stop Using Hadoop for Analytics

by Bobby JohnsonApril 05, 2017

Since the early days, data has always been (and continues to be) a fundamental part of Facebook’s product development. When I was at Facebook, one of my challenges was figuring out how to scale our infrastructure so we could not only store all the data we needed, but also access it quickly in order to make important product and business decisions based off that data.

Engineering

Metrics aren’t “Magic”

by Bobby JohnsonJune 24, 2016

There’s a legend from Facebook about how data saved them. The way it’s usually told is that the “data showed them” that a user would stay forever if they got seven friends in their first ten days, so armed with this new lightning bolt from the data gods they quickly grew to a billion users.…

Engineering

Troubleshooting AWS Networking

by Jag SrawanApril 27, 2016

Reboot all the things The golden rules of running infrastructure on AWS: Instances fail all the time, just reboot them. Design everything to fail, and handle it consistently. AWS has a large community where you can ask questions and find a solution to everything; failing that refer to rules (1) and (2)   When we…

Engineering

The Sushi Principle: Raw Data Is Better

by Bobby JohnsonApril 06, 2015

Thirty years ago, data warehouses revolutionized data storage at big companies, storing summarized data in a strict structure and making it possible to efficiently analyze data. We believe that modern technology lets you adopt a simpler and more powerful scheme to organize historical data: time ordered raw event logs. In this session, we’ll explain why…

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