Craig Smith lets us in on the 7 deadly sins of Agile Test Automation and how we can take Agile out of the IT department.
Many of today's most prominent app developers rely upon GitHub, a popular website that facilitates online collaboration between members of all areas of the software engineering community. Learn about the nuts and bolts of GitHub; like Repositories, Contributions, projects and streaks from Zach Holman in this InfoQ interview recorded live at QCon San Francisco 2013.
Hadoop, the distributive file system and MapReduce are just a few of the topics covered in this interview recorded live at QCon San Francisco 2013. Industry-standard Agile implementation and a lot of testing, assures the development team at Ancestry.com that they have an app that can handle the large traffic demands of the popular genealogy site.
Greg Brockman, Stripe's CTO, relates how developers can determine if they are in a culture that has problems delivering software. With some of his insights and shifts in culture, developers can help their organization become unstuck from a poorly performing culture and shift into a more productive, organized, and effective team.
Netflix leverages reactive system concepts to produce highly interactive and engaging User Interfaces. By using functional programming, Rx, and an intentional training method, they are able to ramp up their developers to produce reactive code quickly and with few bugs. Jafar explains how Netflix established this practice and gives a few pointers as to how your company can start its own.
Developer experience(DX) was one of the prime motivators for Web APIs in response to SOA. Now companies such as Apiary are focused on enhancing this experience and improving developer productivity by taking a page from the SOA book around automation through tooling. Jakub Nesetril explains the nuances of what constitutes good DX and how Web APIs need to be designed and implemented in this context.
Francesco Cesarini and Viktor Klang explain the motivation behind the Reactive Manifesto and what exactly it brings to the table. Also: what Erlang and Scala/Akka can learn from each other.
Todd Montgomery talks about improving serialization times and throughput can by understanding how your computer processes and stores data. With this new understanding, architects and developers can build their own protocols to efficiently transmit data. Todd's advice sheds new light on why software developers choose their current serialization and marshaling techniques and how they can improve.
Christian Legnitto describes FB's release process for mobile apps, how FB has no dedicated iOS or Android teams, A/B testing and the Play Beta program, tools used for the build process, and much more.
Xavier Amatriain discusses how Netflix uses specialized roles, including that of the Data Scientist and Machine Learning Engineer, to deliver valuable data at the right time to Netflix' customer base through a mixture of offline, online, and nearline data processes. Xavier also discusses what it takes to become a Machine Learning Engineer and how to gain real experience in the field.