John Hughes shows how to explore the bugs of a code by creating a series of tests in Erlang and using multiple test frameworks, discovering the faults and evaluating the frameworks while doing it.
Stefan Norberg introduces Domain Event-Driven Architecture, how it helps SOA, and how it has been used by Unibet to make its architecture less coupled, resulting in better performance and scalability.
Enda Farrell discusses how CouchDB is used by BBC, presenting the context, the operations performed against it, how replication and compacting works, some statistics, and how it is used at scale.
Stefan Tilkov discusses SOA basic concepts by making a number of claims, such as “An ESB should not be at the core of your SOA”, followed by explanations and related recommendations.
Andres Kutt shares lessons learned at Skype: rules of thumb don’t always apply, functionality is important, simple solutions, buzzwords are dangerous, and communication is important.
Josh Graham explains what monads are, how and why they are used, including several concrete examples of monads like Identity, Maybe, List, and Continuation.
Chris Richardson on deploying Apache/Tomcat/MySQL apps on Amazon EC2, what it takes to deploy all servers, making a case for PaaS which does not require an administration effort.
Joe Walker explains Bespin, Mozilla’s open source web-based code editor, its architecture and chosen implementation solution, detailing some of its features like collaboration and version control.
Ulf Wiger shows how concurrency can lead to accidental complexity if it is badly implemented in code, becoming a project’s point of failure. Wiger also advises on how concurrency should be addressed.
Dylan Schiemann presents the current status of web development engulfed in lots of frameworks, languages, and browsers, advising on choosing the right technologies to secure the future of a web app.
R.I. Pienaar discusses how ops should empower devs by providing accessible platforms which are easy to understand, use and access, so devs can have a clear view of the network they are deploying to.
Simon Marlow explains through code samples what Haskell has to offer for concurrent programming through concurrent data structures and thread-based concurrency, and Haskell’s tools for parallelism.