InfoQ Homepage Code Mesh 2013 Content on InfoQ
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Deploying the Languages of the Future on Cloud Foundry
Andrew Crump shows how to deploy and scale applications written in a variety of languages (including Clojure and Erlang) to Cloud Foundry.
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Building a Distributed Data Ingestion System with RabbitMQ
Alvaro Videla presents the more advanced features of RabbitMQ: federated brokers, HA queues and support for many protocols and languages.
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End-to-End Reactive Programming at Netflix
Jafar Husain, Matthew Podwysocki teach developers to think about events as collections, demonstrating some basic collection operations to express complex asynchronous programs as simple expressions.
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An API for Distributed Computing
Cliff Click introduces a coding style & API for in-memory analytics that handles datasets from 1K to 1TB without changing a line of code and clusters with TB of RAM and hundreds of CPUs.
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When Code Reacts to Data
Jessica Kerr introduces a different way of thinking about I/O, delaying all side-effects to the end, illustrating manipulating code as data, and at the same time letting data influence the code.
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Refactoring Functional Programs: Past and Future
Simon Thompson shows the particularities of functional programming refactoring through examples in Haskell and Erlang, and discusses what lays ahead for FP refactoring in the next 10 years.
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Distribution, Scale and Flexibility with ZeroMQ
Pieter Hintjens explains the basic techniques for building very large distributed systems using fast asynchronous messaging in general, and ZeroMQ specifically.