InfoQ Homepage Architecture Content on InfoQ
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Ember.js Advanced Patterns
Paul Chavard discusses advanced techniques for building large EmberJS applications with Ember Data.
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Creating Groovy DSLs that Developers Can Actually Use
Guillaume Laforge and Paul King show how to leverage Groovy to build a Mars rover controlling DSL, including metaprogramming techniques and integration mechanisms.
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Application Architectures with Grails
Peter Ledbrook overviews several application architectures that can be done in Grails: MVC plus a DB back-end and a service layer, single-page, and event-based back-end.
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Evolution of the Netflix API
Ben Christensen describes Netflix API's evolution to a web service platform serving all devices and users, the challenges met in operations, deployment, performance, fault-tolerance, and innovation.
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REEF: Retainable Evaluator Execution Framework
Rusty Sears introduces REEF along with examples of computational frameworks, including interactive sessions, iterative graph processing, bulk synchronous computations, Hive queries, and MapReduce.
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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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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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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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JavaScript Frameworks Panel: Which Is the Right Framework for Me?
The panelists discuss JavaScript tooling: how to select them, benefits of compiling to JavaScript, differences between MVC solutions, using one framework for both client and server, etc..
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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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