InfoQ Homepage Infrastructure Content on InfoQ
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From Code to Monkeys: Continuous Delivery at Netflix
Dianne Marsh presents the open source tools used by Netflix to keep the continuous delivery wheels spinning.
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7 Deadly Sins of Automated Software Testing
Adrian Smith covers symptoms, root problems and guidance on recommended solutions for avoiding automated testing mistakes.
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R for Big Data
Indrajit Roy presents HP Labs’ attempts at scaling R to efficiently perform distributed machine learning and graph processing on industrial-scale data sets.
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Online Controlled Experiments: Introduction, Insights, Scaling, and Humbling Statistics
Ronny Kohavi shares lessons learned, cultural and scaling challenges conducting hundreds of concurrent online controlled experiments at Bing.
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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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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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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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How Netflix Architects for Survival
Jeremy Edberg discusses how Netflix designs their systems in order to survive outages, network latency and random instance failure.
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