More than a year since his book Contiuous Delivery came out, author Jez Humble talks about changes in CD, and its relationships with Cloud development, ALM. He also shares his Four Principles Of Low-Risk Software Releases. Other topics include TDD, feedback at different stages of the pipeline, and his involvement with Devops.
Mik Kersten, the community team lead for the Eclipse Mylyn project and Eclipse Board Member, discusses the inspiration behind Mylyn, his surprise at its quick success in open source community, and its influence on other development tools. Taking place at Agile 2012, Mik also discusses the role of developers in Agile Lifecycle Management and recent changes in the DevOps movement.
Peter Bell discusses the state of Java today and whether startups are using it or not, polyglot programming, startups in New York, how to keep up to date with technology, and much more.
Based onconcepts presented in his book, Scott Ambler describes Disciplined Agile Delivery (DAD) as a hybrid approach that extends Scrum, Agile modeling, Unified Process. DAD is a people-first process that's goals-based rather than prescriptive, addresses the entire lifecycle and shares many concepts presented in continuous delivery. Scott also discusses the DevOps movement and how DAD addresses it
Henrik Kniberg discusses the journey to writing his latest book "Lean from the Trenches", the translation of the Agile Manifesto as well as his recent travels and Lean Startup projects.
Eli Collins discusses Cloudera's CDH4 release, which tasks are well suited for Hadoop, Hadoop and MapReduce vs SQL, the state of Hadoop, and much more.
Stuart Halloway explains Datomic, programming transactional behavior with Datomic, Datalog and logic programming, programming with values, Clojure Reducers and much more.
Max Sklar talks about machine learning at Foursquare, the use of Bayesian Statistics and other methods to build Foursquare's recommendation system and much more.
Andrew Watson talks about the work of the OMG, where CORBA is alive and well (hint: in your car), UML and UML Profiles vs. custom Modeling languages, DDS and other middleware, and much more.
In this interview at QCon London, LinkedIn’s Sid Anand discusses the problems they face when serving high-traffic, high-volume data. Sid explains how they’re moving some use cases from Oracle to gain headroom, and lifts the hood on their open source search and data replication projects, including Kafka, Voldemort, Espresso and Databus.
Hive co-creator Ashish Thusoo describes the Big Data challenges Facebook faced and presents solutions in 2 areas: Reduction in the data footprint and CPU utilization. Generating 300 to 400 terabytes per day, they store RC files as blocks, but store as columns within a block to get better compression. He also talks about the current Big Data ecosystem and trends for companies going forward.
Patrick Debois discusses the ideas behind DevOps, popular DevOps tools like Chef and Puppet, DevOps vs NoOps, and much more.