Jim Driscoll discusses using ADFm to create and change Groovy scripts at runtime and debugging a live system with JWDP.
Kyle Boon reviews 3 frameworks for building RESTful WS- Grails, Dropwizard and Ratpack-, comparing their code readability, maintainability, deployment, metrics collection, scalability and testability.
Jeff Scott Brown discusses Groovy’s compile time metaprogramming capabilities.
Alex Gaynor explains how he solved the usual Ruby VM speed problems with Topaz, a high performance VM built on the same technologies that power PyPy.
Miles Sabin and Edwin Brady exemplify what can be done with a language with dependent types, what are the limitations and what could be done in the future when dependent types reach maturity.
Jeff Scott Brown discusses Groovy’s runtime metaprogramming capabilities and the Meta Object Protocol (MOP).
Dan Woods discusses using Spring Integration and design patterns to implement a message-driven architecture in Grails to allow for better modularity, scalability, and code reusability.
Steve Pember discusses creating Grails applications integrating message broker technologies, especially RabbitMQ, and applying SOA principles.
Philipp Haller introduces Scala Async for asynchronous I/O with Futures and Promises.
Paul King presents working with databases in Groovy, covering datasets, GMongo, Neo4J, raw JDBC, Groovy-SQL, CRUD, Hibernate, caching, Spring Data technologies, etc.
Graeme Rocher presents the latest additions to Grails including a walk through of the features included Grails 2.3 and upcoming in Grails 3.0.
Paco Nathan reviews an example data analysis application written in Cascalog used for a recommender system based on City of Palo Alto Open Data.
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