Sebastian Stadil advises on selecting the right cloud from EC2, GCE, or OpenStack based on one's needs, outlining the deployment and administrative challenges to be faced with each option.
Jeremy Edberg discusses how Netflix designs their systems and deployment processes to help the service survive both catastrophic events like zone and regional outages and less catastrophic events like network latency and random instance death.
Rob Witoff presents how JPL and the Curiosity rover mission use cloud computing, including EC2, CloudFormation, Simple Storage Service, and Simple Workflow - to enable research, engineering and operations technologies.
Antoni Batchelli introduces VMFest, a PalletOps project used to turn VirtualBox into a lightweight cloud provider, good for developing cloud automation.
Peter Ledbrook reviews how cloud computing, multiple data stores and multi-device client UI influence the creation of web applications in Grails.
Hugo Duncan introduces Pallet, a DevOps Clojure tool for provisioning and automating cloud server instances. (Lighting talk.)
Ariel Tseitlin discusses Netflix' suite of tools, collectively called the Simian Army, used to improve resiliency and maintain the cloud environment. The tools simulate failure in order to see how the system reacts to it.
Karim Chine discusses the meaning of cloud computing to academic teachers and researchers in data sciences and how to take advantage of it. With public cloud computing a new era for research and higher education begins.
Paul Weiss provides a step-by-step overview and comparison of on-premise, public, and hybrid clouds, explaining how to select the right cloud model.
Richard Astbury provides practical steps and architecture decisions to optimize infrastructure for cost.
Alex Papadimoulis conducts a tutorial on delivery and deployment at scale.