Etsy's approach to big data has been to give the entire organization visibility to different sources of data generated by their product as well as access to the experts who know how to use it. Nell Thomas explains her role at Etsy and how Etsy's view of big data has shaped its product's evolution.
In this InfoQ interview, Michael Nygard explores some of the available loopholes in the CAP theorem helping architects to engineer distributed systems that meet their needs. He also discusses new patterns he’s observed since his book, Realease IT and shares his thoughts on continuous delivery, DevOps and ALM.
IT thought leader Jeff Sussna answers a range of questions about operational efficiency and cloud trends. He discusses new thinking around production freezes and adopting continuous delivery. Sussna explains how companies should understand the entire lifecyle of a customer’s cloud experience. Finally, he shares insight into AWS and their leading position in the cloud.
Big Data means more than just the size of a dataset. Pavlo Baron explains different ways of applying Big Data concepts in various situations: from analytics, to delivering content, to medical applications. His larger vision for Big Data ranges from specialized Data Scientists, to learning Decision Support Systems, to helping mankind itself.
In this interview we talk with Adrian Cockcroft, the architect for Netflix’s cloud systems team. We discuss how Netflix combines 300 loosely coupled services across 10,000 machines. An interesting revelation is that they fully embrace continuous delivery and each team is allowed to deploy new versions of their service whenever they want.
Jesse Robbins of Opscode discusses how the concept of deploying, maintaining, and updating a software solution has begun to evolve into the concept of DevOps. This new player in the development landscape blurs the lines betwee Development and Operations teams and creates a new practice of Infrastructure as Code.
Erik Meijer explains the various aspects needed to categorise data stores, how reactive programming fits in with databases, the return to data transformation, denotational semantics, and much more.
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