John Wilkes shares lessons learned managing clusters at the scale of Google.
Anna Shipman explains how the GOV.UK team implemented the DevOps culture – the people, the process, and the technical details of what tools they use and how they are integrated.
Thore Thomassen shares from experience how to combine structured data in a DWH with unstructured data in NoSQL, and using parallel data warehouse appliances to boost the analytical capabilities.
John Davies shows a Spring work-flow consuming 7.4kB XML messages, binding them to 25kB Java but storing them in just 450 bytes each, 10 million derivative contracts in-memory on a laptop.
Lin Qiao discusses the architecture of Gobblin, LinkedIn’s framework for addressing the need of high quality and high velocity data ingestion.
Arnaud Pflieger, Baeli Dimitri present their practices and tools: Octopus-a git branching model, no dedicated testers, no ops, Selenium, Zeno – a diff tool comparing production and staging code.
Eugene Mandel discusses challenges of conforming data sources and compares processing stacks: Hadoop+Redshift vs Spark, showing how the technology drives the way the problem is modeled.
Todd Montgomery discusses how Java 8 has faired with a few new high performance network projects.
Armon Dadgar presents Consul, a distributed control plane for the datacenter. Armon demonstrates how Consul can be used to build, configure, monitor, and orchestrate distributed systems.
Michael Plöd addresses the advanced usage of Spring's caching abstraction such as integrating a cache provider that is not integrated by the default Spring Package and overviews JCache. Demos.
John Shaw discusses four pillars to DevOps: Environments, Deployment, Testing and People based on experiences developing financial systems for governmental clients.
Ryan Vanderwerf speaks about the roles of cache clustering, session clustering, and quartz clustering with open source Terracotta, Quartz, and BigMemory.