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.
Bart De Smet explains what it took to bring the concepts of Reactive Extensions (Rx) to the cloud to deal with latency, scale, reliability, and other concerns.
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.
Grant Shipley deploys an application to the cloud and then turns up the heat by leveraging the right mix of elasticity and auto-scaling.
Tim Rath explains how and why Amazon incorporated more powerful testing methodologies, ultimately leading them to the use of formal methods where TLA+ has become a cornerstone to our overall strategy.
Alexander Baxevanis, Samantha Wathen discuss using an Agile approach to the porting of UK UCAS tracking tool to the cloud: the process, design principles, lessons learned.
John Shaw discusses four pillars to DevOps: Environments, Deployment, Testing and People based on experiences developing financial systems for governmental clients.
Peter Niederwieser discusses building a continuous delivery pipeline using Gradle and Jenkins.
Sam Newman, Zhamak Dehghani make an introduction to microservice architectures, explaining why they are ideal for organizations that want to optimize for fast speed of change.
Jason Toy talks about the evolution and history of LinkedIn's release strategy.
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