Cloud Foundry creator Derek Collison talks about building the next generation of PaaS with his Continuum product at Apcera, and how Go was chosen as the core language for its development. He also talks about his earlier career at Tibco, Google and VMware, and the role of messaging systems like AMQP and MQTT.
In this interview, Dave Farley approaches Continuous Delivery both from human and technological perspectives. Do flow-based methodologies play better with CD than iteration-based ones? How to do CD on a DevOps unfriendly context? From a technological perspective, learn the importance of artifact repositories and why you should avoid branching as much as possible.
Todd Charron talks about some of the outcomes from Lean Startup Machine in Toronto, applying Lean Startup in the Enterprise and how can us improvisation techniques in Agile to reduce our fears.
Chris Clarke from Collabnet talks about the evolution of ALM, how Agile has affected its uptake across all levels of the organisation and some of the important metrics Agile teams should be measuring.
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.
Chris McMahon discusses radically open source testing at Wikipedia and has put out a call for the testing community to participate, as well as discussing approaches to browser test automation.
Deepak Giridharagopal explains the config management and automation tool Puppet, the concept of Immutable Deployments, and how Puppet DB (written in Clojure) allows to monitor and query systems managed with Puppet. Also: why PuppetDB is written in Clojure.
Bryan Beecham (aka Billy Garnet) reminds us that "XP not dead!" and shares his approach to teaching TDD and refactoring with Lego and applying XP and craftsmanship in teams as well as the human body.
Xavier Amatriain discusses how Netflix uses specialized roles, including that of the Data Scientist and Machine Learning Engineer, to deliver valuable data at the right time to Netflix' customer base through a mixture of offline, online, and nearline data processes. Xavier also discusses what it takes to become a Machine Learning Engineer and how to gain real experience in the field.
Dave Farley discusses the reasons for Continuous Delivery and Continuous Deployment, the advantages and challenges they pose, and much more.
Tim Berglund explains GitHub's approach to product owners and product development and how that can (or can not) translate to other companies.