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.
Grant Shipley deploys an application to the cloud and then turns up the heat by leveraging the right mix of elasticity and auto-scaling.
Adam Wick explains the promise of unikernels (single-purpose, lightweight virtual machines) and shares experiences about when unikernels are appropriate solutions and when they are not.
John Shaw discusses four pillars to DevOps: Environments, Deployment, Testing and People based on experiences developing financial systems for governmental clients.
Amy Heineike covers how to construct clean (and avoid hairball) networks, effective ways to analyze them, as well as open source options for visualizing and interacting with your graphs.
Sam McAfee outlines an approach they are using at Neo to help their clients integrate business metrics and probabilistic modeling into their prioritization process.
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.