Camille Fournier explains consensus systems ZooKeeper, etcd, and Consul: how they work, what they do, how they differ from each other. Also: must-read papers in distributed programming.
Caitie McCaffrey talks about scaling game backend services for Halo 4 and others, stress & performance testing, the Orleans actor framework, and the future of distributed programming.
Natalia Chechina explains the challenges of scaling distributed Erlang beyond a certain number of systems and how SD Erlang helps to overcome those problems.
Turing Award winner Leslie Lamport talks to Charles Humble about LaTeX, Paxos, his "Time, Clocks and the Ordering of Events in a Distributed System" paper, TLA and TLA+
Peter Bourgon discusses distributed programming with commutative replicated data types (CRDTs), how they work, what problems they solve, and his experience with using the Go language at SoundCloud.
Chris discusses the rise of CQRS and Event Sourcing as a solution for all domains. With the advent of Docker, applications that manage complex domains can be built tested and deployed in minutes. Chris talks about the reasons for choosing a CQRS and Event Sourced solution as well as how the addition of Docker can help an organization embrace Continuous Delivery by using existing tools.
Chris Mattmann explains the type and magnitude of data produced in scientific projects like the Square Kilometer Array Telescope, the tools to use for scientific data processing and much more.
Eva Andreasson speaks to Charles Humble about how Apache Hadoop works and how developers and BI teams in traditional enterprises can start to use it in their organisations, how garbage collection impacts Hadoop jobs, and what she is interested in in Java 8.
Nathan Marz explains the ideas behind the Lambda Architecture and how it combines the strengths of both batch and realtime processing as well as immutability. Also: Storm, Clojure, and much more.
Hadoop, the distributive file system and MapReduce are just a few of the topics covered in this interview recorded live at QCon San Francisco 2013. Industry-standard Agile implementation and a lot of testing, assures the development team at Ancestry.com that they have an app that can handle the large traffic demands of the popular genealogy site.
Cliff Click explains 0xdata's H20, a clustering and in-memory math and statistics solution (available for Hadoop and standalone), writing H20's memory representation and compression in Java, low latency Java vs GCs, and much more.
Dean Wampler explains Scalding and the other Hadoop support libraries, the return of SQL, how (big) data is the killer application for functional programming, Java 8 vs Scala, and much more.