Melody Meckfessel explores how Google's engineering teams use CD to build products and scale them, and how their strain of DevOps speeds launches and helps their engineering culture thrive.
Brian Clozel talks about the newly open-sourced reference application that powers the spring.io site, built with Spring Boot, Spring Framework 4 features, cujoJS, Bower and Gulp.
Janne Valkealahti shows how Spring provides a simple programming model to develop applications that can easily be tested and deployed as either a YARN application or a traditional application.
Mitchell Hashimoto introduces Vagrant, Packer, Consul, Serf, explaining how they can help DevOps streamline the entire process from development through to production.
This session describes architectural patterns for developing microservices: Service Decomposition, API Gateways, Stateless/Shared-Nothing Apps, Configuration and Backing Service Consumption, etc.
Cornelia Davis takes the Spring Trader application and makes (a few) modifications (mostly to config) to get it running on the same components in the cloud, specifically on the Cloud Foundry PaaS.
Jimmy Bogard takes a look at how Octopus enables continuous delivery and what it offers over standard tooling.
Barry Jaspan describes how they test Acquia Cloud, a large PaaS and DevOps project, and what they have learned over several years of developing those tests.
The authors take a deep dive into the history of NoSQL at Amazon.com, from the world of relational databases to the Dynamo days to the world of managed services like DynamoDB.
Aish Fenton discusses Netflix' machine learning algorithms, including distributed Neural Networks on AWS GPUs, providing insight into offline experimentation and online AB testing.
Simon Hildrew discusses the tools and processes used by The Guardian to create a continuous delivery pipeline.
Jevgeni Kabanov discusses the results of a research on a delivering software model, the tools involved and the model itself, concluding on what one can expect from using certain tools.