The authors discuss scaling Agile by highlighting the constraints that a company needs to address given its particular context, an approach that adapts to context rather than ignoring it.
Jason Toy talks about the evolution and history of LinkedIn's release strategy.
The authors discuss about the lessons learned from all the biggest sites on the internet about how to build scalable and resilient architectures.
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
Sergi Almar reviews the architecture behind WebSocket and tries to show how to build highly scalable applications with it.
The authors discuss Netflix's new stream processing system that supports a reactive programming model, allows auto scaling, and is capable of processing millions of messages per second.
Terence Yim from Continuuity showcases a transactional stream processing system that supports full ACID properties without compromising scalability and high throughput.
The authors discuss some of the unique challenges they've faced delivering highly personalized search over semi-structured data at massive scale.
Raymond Blum discusses some of the challenges, solutions and discarded alternatives in creating durable storage systems at Google scale.
The authors discuss patterns and technologies needed to scale large enterprise mobile systems, covering handling network connectivity, data reliability and real-time communication.
Michael Bryzek shares lessons learned from startup to a leading ecommerce companies, starting with behavioral psychology and reflecting on the decisions made and tradeoffs considered as they scaled.