Aish Fenton explains how machine learning is used at Netflix for recommendations but also for many more applications.
Dianne Marsh explains Netflix' approach to managing development teams, how to avoid over-managing them, fostering responsibility and engineering velocity.
Roy Rapoport explains the concept of canary analysis and how Netflix uses it to deploy software to its internal systems.
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.
In this interview we talk with Adrian Cockcroft, the architect for Netflix’s cloud systems team. We discuss how Netflix combines 300 loosely coupled services across 10,000 machines. An interesting revelation is that they fully embrace continuous delivery and each team is allowed to deploy new versions of their service whenever they want.
In this interview Jez Humble discusses the concept of continuous delivery, which implies that software should always be production ready throughout its lifecycle. That means that every build could be released into production and run effectively. Continuous delivery involves build and deployment automation, continuous integration, test automation, managing infrastructure and environments and more.