Daniel Cukier shares insight in using cloud services to scale web applications, dealing with load balancing, session sharing, email, asynchronous processing, logging, monitoring, CD, RUM, etc.
Luke Hoban introduces TypeScript and its implications for writing web applications and creating supporting tooling.
Indrajit Roy presents HP Labs’ attempts at scaling R to efficiently perform distributed machine learning and graph processing on industrial-scale data sets.
Rob Pike explains how Google designed Go to address major development issues they encounter while using other languages: long build times, poor dependency management, lack of robustness, etc.
Guilherme Ottoni presents the design, implementation, and an evaluation of the HipHop compiler for PHP.
Kenneth M. Anderson shares some of the data modeling issues encountered while transitioning from a relational database to NoSQL.
Jim Coplien believes that we have done OOP the wrong way for 40 years, and suggests an approach to reflection based on the DCI paradigm and influenced by the human society.
Leo A. Meyerovich explains how social adoption patterns can help language designers make new languages that are inherently attractive and desirable by developers.
Michael Hansen presents the ACT-R cognitive architecture, a simulation framework for psychological models, showing how it could be used to measure the impact of various programming paradigms.