Gunter Dueck wonders how are we preparing for the new society marked by cloud computing and big data in which jobs are automated and mediocre abilities are no longer accepted?
Deepak Giridharagopal discusses "immutable infrastructure", PuppetDB and complex invariants, PuppetDB’s architecture, the experience of bringing Clojure to a Ruby shop and lessons learned from that.
Jimmy Bogard introduces Octopus Deploy, a deployment system for continuous delivery.
Jacob Mather shows how to transition a development stack from a local machine to a virtual solution on a server that can be extended to a private cloud.
Damon Edwards explores the successful patterns - and damaging anti-patterns - observed at dozens of companies going through DevOps transformations. The main focus is on how Development teams can influence and take a leading role in the closing of the DevOps divide.
Robert Benefield offers a pragmatic overview for discovering operational indicators that provide valuable insight in running and improving online services.
Chris Mattmann envisions data science by integrating science software into rapid data production systems using cloud computing and open source software.
Ola Ellnestam shares lessons learned and DevOps practices along with the underlying values and principles used to implement continuous improvement and delivery at a large bank.
Robert Virding describes how Erlang was developed to solve the concurrency and reliability requirements of telecommunications, dealing with challenges that are similar with those of cloud computing.
Andrew Crump shows how to deploy and scale applications written in a variety of languages (including Clojure and Erlang) to Cloud Foundry.
Sergejus Barinovas discusses the challenges, failures and actual steps required to move an organization to continuous delivery and as follows - continuous happiness.
Matthew Moloney discusses using F# and .NET inside Excel, demonstrating doing big data, cloud computing, using GPGPU and compiling F# Excel UDFs.