Ron Bodkin of Big Data Analytics discusses early adoption of Hadoop, NoSQL and big data technologies. He discusses common patterns and explains how developers can write low-level primitives to optimize MapReduce function. Other topics include Hive, Pig, multi tenancy, and security.
In this interview at Agile 2011, Jez Humble discusses continuous delivery and the deployment pipeline, emphasizing the importance of feedback and automating tests at every level to validate deployments. Gone are the days of massive acceptance test scripts. He also talks about the evils of feature branching, and speaks on the DevOps practices to collaborate all the way through the delivery cycle.
Two of ThoughtWorks’ finest, Martin Fowler and Jez Humble, talk about the notion of Continuous Delivery, which enables organizations to build software that is production ready at all times. To do this, enterprises automate the build, deployment, and testing process, and improve collaboration between developers, testers, and operations. The duo discusses a variety of related issues.
In this interview Jez Humble discusses the concept of continuous delivery, which implies that software should always be production ready throughout its lifecycle. That means that every build could be released into production and run effectively. Continuous delivery involves build and deployment automation, continuous integration, test automation, managing infrastructure and environments and more.
In this interview, Cyndi Mitchell talks about ThoughtWorks’ concept of “Continuous Delivery,” which focuses on the last mile of software delivery. Mitchell also discusses the “adaptive” in ThoughtWorks Studios’ Adaptive ALM (Application Lifecycle Management) strategy, in which Agile solutions must be adaptive to users’ needs. And Mitchell describes ThoughtWorks Studios tools: Mingle, Go and Twist.
Martin Fowler and Paulo Caroli discuss testing, continuous integration and continuous deployment, as well as DSLs and REST.
John Leach explains how Brightbox uses Virtualization in the data center and whether Virtualization causes performance problems. Also: a look at a few Unix tools and Linux features that Ruby developers might not know about.