Raymond Blum discusses some of the challenges, solutions and discarded alternatives in creating durable storage systems at Google scale.
Jon Hoffman discusses the general architecture, storage systems and development practices created to handle the ever increasing volume and complexity at Foursquare.
Wesley Chow presents Chartbeat's real-time analytics platform and how able to handle the requests in a cost efficient manner using a custom written analytics engine in C and Lua.
Eelco Visser, Vlad Vergu demonstrate how Spoofax simplifies the process of specifying syntax using SDF3, name analysis using NaBL and type analysis using TS, code generation in Stratego.
The authors demonstrate the design and use of an environment for quantitative researchers building a market risk simulation first as a basic system and then adding a hypothetical systemic shock.
Bjorn Freeman-Benson suggests “listening” to the code, refactoring it based on various factors such as the defect rate or underperforming services, providing strategies and tools.
Jeff French covers the pros and cons of native app development vs. HTML5 hybrid app development so one can make the right choice based on the needs of his app.
A lively panel discussion with Eric Evans, Duncan DeVore, and Leo Gorodinski, hosted by Mike Feathers, on software architecture improvement, DDD, the ins and outs of microservices and much more.
The authors take a deep dive into the history of NoSQL at Amazon.com, from the world of relational databases to the Dynamo days to the world of managed services like DynamoDB.
Chung-Yeung Pang shares from his experience applying MDD and Agile to various projects.
Bryan Nehl makes an introduction to the data science: data formats, ETL tools, NoSQL databases, languages, libraries, techniques and approaches for exploring data and extracting value from it.
Aish Fenton discusses Netflix' machine learning algorithms, including distributed Neural Networks on AWS GPUs, providing insight into offline experimentation and online AB testing.