Justin Moore shares how Facebook's own advances in Data Science have solved intricate location technology problems and how these lessons can be applied to other verticals to achieve similar gains.
Jeff Johnson introduces Apollo, a hierarchical NoSQL data system meant to deal with Facebook's distributed storage needs.
Simon Marlow describes a concurrency-based system built with Haskell that allows front-end programmers to write business logic to access all the back-end services in a concise and consistent way.
Keith Adams examines the strengths that made PHP a dominant language in its niche, highlighting Facebook's attempts at remedying its inconsistencies and misfeatures while maintaining its strengths.
Christian Legnitto offers insight in some of the tools and processes used by Facebook for pushing new updates to their mobile apps.
Pedro Canahuati describes how Facebook's operations maintains their infrastructure, including challenges faced and lessons learned: prioritizing calls, managing technical debt, incident management.
Keith Adams shares HHVM insights showing how a system can become very performant if it is well tuned.
Keith Adams outlines PHP's strengths and Facebook's attempts at remedying the inconsistencies and misfeatures in the core language.
Nicolas Spiegelberg discusses Facebook Messages built on top of HBase, the systems involved and the scaling challenges for handling 500TB of new data per month.
Guilherme Ottoni presents the design, implementation, and an evaluation of the HipHop compiler for PHP.
Chuck Rossi unveils some of the tools and processes used by Facebook for pushing new updates every day.
David Mortenson details how Facebook maintained efficiency while increasing the number of engineers by reducing the n00b time sink, keeping development fast and avoiding unintended consequences.