Alex Gosse presents the current trend in application delivery, referring to cloud computing, its adoption and DevOps tools used in such environments.
Craig Kersteins discusses 12 principles underlying Heroku’s approach to deploying applications.
Ram C Singh discusses using Big Data for infrastructure telemetry along with good practices and an autonomic engine to create an autonomic computing infrastructure that might prevent downtime.
Baruch Sadogursky demonstrates automated building techniques using Maven/Gradle/Custom scripts and Binary Repository along with common pitfalls that are to be avoided.
Stephen Burton discusses how the people, processes, collaboration and tools employed in Formula 1 can be used to manage performance and reliability and ultimately achieve success by DevOps.
Patrick Debois discusses the current state of monitoring and metrics, how developers and the company can benefit from them, and how to improve the collection of metrics and the monitoring process.
Antoni Batchelli introduces Pallet, a devops platform for the JVM for provisioning and configuring servers, configuring clustered services, deploying and managing software, servers and services.
Jesper Richter-Reichhelm presents the DevOps integration at Wooga, and how their system architecture has evolved over the years in order to cope with the increasing number of players.
Ken Sipe introduces Glu, an open source deployment automation tool coming from LinkedIn, showing how to perform Glu configuration along with a demo of using it.
Jesper Boeg discusses why it is important to deliver software early, why it is difficult to do so, along with tools/tips/practices: shared vision, story maps, coaching, and others.
Jinesh Varia discusses automating continuous integration, continuous deployment and continuous optimization in the context of using cloud computing services.
Jez Humble discusses how to deal with risk management, regulation compliance, ITIL, audit requirements in a large organization that intends to adopt devops.