Mike Amundsen talks about API management, versioning, and discovery. He compares RESTFul and CRUD-style APIs, discusses the notion of 'affordance,' and introduces hypermedia APIs. He examines documentation modelling frameworks for APIs - like Swagger - and also provides his thoughts on API governance, OAuth 2.0, and web single sign-on.
David Bosschaert speaks to InfoQ at EclipseCon 2013 about the upcoming OSGi enterprise specification, including the remote REST management API and cloud dynamics, as well as looking to the future with the use of annotations and CDI injection.
Darach Ennis explains the lessons learned from the Complex Event Processing community, reactive programming, the challenges of messaging on mobile platforms, OOP vs Functional and much more.
Jim Hirschauer describes the application monitoring tool landscape, KPIs and metrics to consider when monitoring, and compares monitoring traditional vs. cloud-based applications. He talks about performance considerations when instrumenting code, how organizations can be 'Smarter' about their Big Data, and looks at what's new in AppDynamics 3.7.
Ward Cunningham talks about the continuing appeal of OOP and dynamic languages, asynchronous programming, and much more. Also: Ward explains the ideas behind his latest project Federated Wiki.
Barbara Liskov keynoted at QCon London 2013 on the power of abstraction. Afterwards, InfoQ caught up with up with her to ask her about language design, modularity and distributed computation.
Through teamwork, an agile team can ensure the quality of its project's architecture, code hygiene, and other non-functional requirements by explicitly creating tasks for those concepts in each sprint. Alexander von Zitzewitz explains the importance of this method of agile development and how the use static analysis of code bases can help the "hard sell" of intentional architecture to management.
Duncan Coutts on Parallelism and Concurrency with Haskell, Distributed Programming with Cloud Haskell
Duncan Coutts explains the nature of Concurrency and Parallelism in Haskell, its threading and STM implementation, Erlang OTP's influence on CloudHaskell for distributed programming, Monads, and more.
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.
Stuart Williams explains vert.x: basic idea and architecture, how it uses Java's NIO and async APIs, how it allows using various JVM languages (Groovy, JRuby, Scala, etc), the EventBus and much more.
Rich Hickey explains the basics of Datomic, its approach to transactions and query, Datalog, CAP, ACID and BASE, and much more.