InfoQ Homepage QCon Software Development Conference Content on InfoQ
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Solidifying the Cloud: How Google Backs up the Internet
Raymond Blum discusses some of the challenges, solutions and discarded alternatives in creating durable storage systems at Google scale.
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Scaling Foursquare: From Check-ins to Recommendations
Jon Hoffman discusses the general architecture, storage systems and development practices created to handle the ever increasing volume and complexity at Foursquare.
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Scaling Chartbeat from 8 Million Open Browsers to Realtime Analytics and Optimization
Wesley Chow presents Chartbeat's real-time analytics platform and how able to handle the requests in a cost efficient manner using a custom written analytics engine in C and Lua.
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Python: Why Are the Big Dealers Making Big Bets?
The authors demonstrate the design and use of an environment for quantitative researchers building a market risk simulation first as a basic system and then adding a hypothetical systemic shock.
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Roadmap to the Lean Enterprise
Trevor Owens takes an in-depth look at the methodologies, tools, and incentive structures that are guiding some of the word's largest organizations to reclaim their innovation progress.
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Quantifying Risk for Innovative Teams
Sam McAfee focuses on quantitative risk modeling approaches exploring how to bring scientific rigor back into the Lean Startup process with Monte Carlo simulations and Cost of Delay scenarios.
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Property-based Testing for Better Code
Jessica Kerr shows the charm of autogenerated test data, the beauty of expressing only what matters, and the challenge of stating what you need without repeating the code under test using ScalaCheck.
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What's the Best Way to Improve Software Architectures?
A lively panel discussion with Eric Evans, Duncan DeVore, and Leo Gorodinski, hosted by Mike Feathers, on software architecture improvement, DDD, the ins and outs of microservices and much more.
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Optimizing Mobile Performance with Real User Monitoring
Brittany Young discusses a framework for identifying the performance metrics that matter most to users, looking at improving the development life cycle by knowing common mobile performance blind spots
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NoSQL Like There is No Tomorrow
The authors take a deep dive into the history of NoSQL at Amazon.com, from the world of relational databases to the Dynamo days to the world of managed services like DynamoDB.
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Nashorn - Native JavaScript Support in Java 8
Viktor Gamov presents and demos the latest state of Project Nashorn, a high-performance JavaScript engine available on the JVM.
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Machine Learning at Netflix Scale
Aish Fenton discusses Netflix' machine learning algorithms, including distributed Neural Networks on AWS GPUs, providing insight into offline experimentation and online AB testing.
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