InfoQ Homepage Architecture & Design Content on InfoQ
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Fast and Dynamic
Maxime Chevalier-Boisvert discusses making dynamic languages faster providing various examples of optimizations: SmallTalk, LISP machine, Google V8 and others.
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Evolving Mobile Architectures at MI9
Cameron Barrie, James Brett, Stewart Gleadow share lessons learned using Agile methodologies to build an iOS application, discussing its architecture and the benefits of hybrid apps.
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RESTful Groovy
Kyle Boon reviews 3 frameworks for building RESTful WS- Grails, Dropwizard and Ratpack-, comparing their code readability, maintainability, deployment, metrics collection, scalability and testability.
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How a Small Team Scales Instagram
Mike Krieger discusses Instagram's best and worst infrastructure decisions, building and deploying scalable and extensible services.
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Scaling AncestryDNA using Hadoop and HBase
Bill Yetman and Jeremy Pollack discuss using Agile techniques -start simple, get going, iterate- and the “measure everything” principle to create the architecture behind the Family History website.
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Apache Tez: Accelerating Hadoop Query Processing
Bikas Saha and Arun Murthy detail the design of Tez, highlighting some of its features and sharing some of the initial results obtained by Hive on Tez.
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Why Ruby Isn't Slow
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.
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Scala vs Idris: Dependent Types, Now and in the Future
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.
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Raft - The Understandable Distributed Protocol
Ben Johnson discusses the Raft protocol and how it works. Raft is a consensus distributed protocol.
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The Present and Future of the Web Platform
Brendan Eich surveys interesting developments in the Web platform, analysing emergent trends, and making some predictions.
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Deploying Machine Learning and Data Science at Scale
Nick Kolegraff discusses common problems and architecture to support all the phases of data science and how to start a data science initiative, sharing lessons from Accenture, Best Buy, and Rackspace.
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Message Driven Architecture in Grails
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.
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