Colin Mower discusses the challenges met using together Cloud, Big Data, Mobile and Security and how these can work together to achieve business value.
Mike Bowler discusses CD, the build pipeline and version control practices and automated testing, exploring best practices and pitfalls, and making the deployment question a business decision.
Jessie Frazelle talks about which customer cases drove Docker clustering and describes the key technical decisions and code in the implementation.
Matthew Skelton shares his recent experience of helping many different organisations to evaluate and select tools to facilitate DevOps and Continuous Delivery.
Dave Farley discusses the problems raised by inefficient processes creating poor quality output, too late to capitalise on the expected business value, and proposes solutions to them.
Stephen Thair talks about organisations leveraging DevOps practices to deliver better software, faster and how they do it.
Sean Owen introduces Spark, Scala and random decision forests, and demonstrates the process of analyzing a real-world data set with them.
Dave McCrory talks about what is Data Gravity, how it affects performance and portability and why these effects are amplified when there are larger volumes of data.
Amy Phillips explains how the core principles can be used to drive process change and how their team removed many of the delays and frustrations from their release process.
Rachel Laycock focuses on the architecture of an application, addressing patterns such as microservices and evolutionary architecture, which can speed up delivery.
Brian Cavalier shows how Differential Synchronization can be used with JSON Patch to synchronize application data between clients and servers over HTTP Patch, WebSocket, and STOMP.
Omer Shapira introduces HTTP/2 (and SPDY), exploring the impact the protocol has on application design, and telling the story of LinkedIn adopting SPDY on its network infrastructure.