Michael Hausenblas introduces Apache Drill, a distributed system for interactive analysis of large-scale datasets, including its architecture and typical use cases.
Paul Fremantle conducts a hands on tutorial on Stratos and App Factory showing how to create a development and runtime PaaS.
Andy Piper discusses the current state of PaaS, and why its success lie in enabling developer productivity, openness and choice, considering Open Source in general, and Cloud Foundry in particular.
Robin Johnson discusses using a data management model for games that can be scaled, and the bottlenecks and challenges met by OMGPOP scaling to millions of users.
Richard Astbury provides practical steps and architecture decisions to optimize infrastructure for cost.
Volker Pacher explains why Shutl chose Neo4j when faced with the need of building a new API meant to support business growth, the challenges met during implementation and solutions applied.
Michael Brunton-Spall shares his experience re-architect The Guardian’ Content API from a system based on Solr to a message queue cloud service based upon Elastic Search, without any downtime.
Alex Papadimoulis conducts a tutorial on delivery and deployment at scale.
Francine Bennett keynotes on using big data in the cloud.
Lars Malmqvist, Craig Kersteins, Gareth Rushgrove, Bruce Durling and Paul Fremantle discuss how the boundaries between software development and infrastructure operations are blurred in PaaS.
Gareth Rushgrove offers advice, code samples, and introduces tools - Puppet, Chef and CloudFormation – helpful for automating every infrastructure operations.