InfoQ Homepage QCon New York 2014 Content on InfoQ
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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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My Mobile App Only Works on My Phone? How to Scale Enterprise Mobile Apps
The authors discuss patterns and technologies needed to scale large enterprise mobile systems, covering handling network connectivity, data reliability and real-time communication.
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Mentoring Humans and Engineers
Daniel Doubrovkine discusses mentorship, how to structure a mentorship program, talk risks, costs and rewards based on material sourced from the fellow members of the New York CTO Club.
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Leveraging Big Data for Payment Risk Management
John Canfield discusses the changing payment ecosystem, innovations in mining and organizing unstructured data from many sources, and approaches to deciding for loss minimization and user experience.
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Learnings from Building and Scaling Gilt
Michael Bryzek shares lessons learned from startup to a leading ecommerce companies, starting with behavioral psychology and reflecting on the decisions made and tradeoffs considered as they scaled.