InfoQ Homepage Architecture & Design Content on InfoQ
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Big Data Platform as a Service at Netflix
Jeff Magnusson details some of Netflix' key services: Franklin, Sting and Lipstick.
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One to Many: The Story of Sharding at Box
Tamar Bercovici presents Box’s transition from a single MySQL database to a fully sharded MySQL architecture, all the while serving 2 billion queries per day.
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Which Is Easier? 100T-10M or 10M-1B
Zoltan Toth-Czifra shares scalability lessons learned at Softonic, a company that has developed and grew along with the Internet for over 15 years.
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The Search for Sustainable Innovation
The panelists discuss innovation at the enterprise level avoiding the business’ constant volatility.
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Exercises in Style
Crista Lopes writes a program in multiple styles -monolithic/OOP/continuations/relational/Pub-Sub/Monads/AOP/Map-reduce- showing the value of using more than a style in large scale systems.
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Agile Metrics and the Deadly Sins of Agile Measurement
Steve Lawrence showcases several agile metrics supporting an organization’s objectives, but also addresses some of the bad metrics and the 7 sins of Agile measurements.
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Stream Processing: Philosophy, Concepts, and Technologies
Dan Frank discusses stream data processing and introduces NSQ – Bitly’s open source queuing system – and other new technologies used for communication between streaming programs.
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Scaling out with Akka Actors
Joshua Suereth designs a scalable distributed search service with Akka and Scala using actors, and covering practical aspects of how to scale out with Akka’s clustering API.
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Dare Mighty Things: How JPL Explores the Cosmos through the Clouds
Rob Witoff presents how JPL and the Curiosity rover mission use cloud computing, including EC2, CloudFormation, and Simple Workflow - to enable research, engineering and operations technologies.
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The Trouble With Types
Martin Odersky outlines the main categories of static type systems as well as some new developments, and discuss the tradeoffs they make.
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"Big Data" Agile Analytics
Ken Collier discusses Agile Analytics, a combination of sophisticated analytics techniques, lean learning principles, agile delivery methods, and "big data" technologies.
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