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.
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.
Roy Rapoport shares some of the lessons Netflix learned building a monitoring system, the challenges, pitfalls and opportunities encountered along the way.
John Wilkes shares lessons learned managing clusters at the scale of Google.
Anna Shipman explains how the GOV.UK team implemented the DevOps culture – the people, the process, and the technical details of what tools they use and how they are integrated.
Gabriel Monroy demonstrates using Deis to orchestrate Docker deployments, as well as Deis' integration with popular schedulers like Fleet, Mesos, and Kubernetes.
Arnaud Pflieger, Baeli Dimitri present their practices and tools: Octopus-a git branching model, no dedicated testers, no ops, Selenium, Zeno – a diff tool comparing production and staging code.
Armon Dadgar presents Consul, a distributed control plane for the datacenter. Armon demonstrates how Consul can be used to build, configure, monitor, and orchestrate distributed systems.
Jérôme Petazzoni borrows from his experience at Docker Inc. to explain live applications running in Docker, including reading logs, remote access, and troubleshooting tips.
Jeff Lindsay talks about the history and future of Docker, and shares some of his cutting-edge tooling for deploying systems with Docker.
Scott Frederick and Ramnivas Laddad introduce the Spring Cloud project, show how you can simplify configuring applications for cloud deployment, discuss its extensibility mechanism, and much more.