Aviran Mordo and Talya Gendler explain how their engineering team is supporting product managers in making the right decisions and getting their product roadmap on the right path.
Tyler Akidau from Google demonstrates Google's Millwheel, a streaming system that promises low latency, strong consistency, and flexibility without relying on Lambda Architecture.
Fangjin Yang, creator of Druid, shows how approximation algorithms can help system scale out linearly and process huge amount of data quickly with small memory footprint.
Jason Toy talks about the evolution and history of LinkedIn's release strategy.
Sangeeta Narayanan goes over how Netfix got to the current continuous delivery state, the lessons they learnt and the successes they enjoyed along the way.
Ari Grant discusses how Facebook is iterating its mobile products, continuing to increase the richness of the content and speed at which it is delivered.
Or Arbel discusses how Yo's platform enables developers and users to communicate using push notifications.
Michael Garvey discusses about understanding of common challenges, and learning strategies, principles and practices to overcome them and craft better design for your interfaces.
The authors discuss about the lessons learned from all the biggest sites on the internet about how to build scalable and resilient architectures.
Mike Beltzner describes the tools and techniques used to keep Pinterest's platform stable and responsive. Garrett Moon dives into the technology they developed.
Marius Eriksen explains Twitter's experiences with functional programming (with Scala) @ Twitter: where functional techniques worked and where not. Also: how the Scala language has scaled with Twitter
The authors discuss property based testing from the basics to advanced techniques (custom data generators, performance tests, basing data generation on samples from production data,...).