Jason Felice introduces TDD, how it came about, the two schools of TDD thought, the differences and contradictions between them.
Gerard Meszaros advises on using the right abstraction level and automation tools when creating unit or system-level tests.
Volker Pacher, Sam Phillips present key differences between relational databases and graph databases, and how they use the later to model a complex domain and to gain insights into their data.
Mo Ramezanpoor discusses how two different activity tracking apps -"Zombies, Run!" and "The Walk"- have different approaches for tracking user activity.
The authors share insights from their experience building DSLs for business people.
Derek Collison discusses some of the technologies and approaches for building a self-healing infrastructure: Intelligent layer 7 SDN with semantic awareness, distributed scheduling algorithms, policy distribution and invalidation, health monitoring and management, self healing techniques, and the role of unsupervised deep machine learning and anomaly detection.
Dianne Marsh describes how Netflix' tooling, especially the continuous delivery system, allows them to build scaffolding enabling software developers to make the decision to push the button for prod deployment - and helps them to recover if necessary. As a result, they can run fast, trusting their tooling and culture.
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.
Chas Emerick discusses some of the common issues appearing in distributed systems and ways to solve them.
Tomomi Imura takes a look at the current state of HTML5 and how it supports mobile web development, comparing to where it was a year ago.