InfoQ Homepage Keynote Content on InfoQ
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Liberating the API Economy with Scale-Free Networks
Mike Amundsen explores the "Scale-Free" (long tail) rule of complex systems and how it affect the producing and consuming of web APIs.
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Developing Passion, in Many Senses
Jon Skeet keynotes on developers’ passion for their craft, how to find, nurture and enjoy it, how to balance work and life activities, when to step back, and if too much passion can be a problem.
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Java 9 and Beyond
Mark Reinhold keynotes on Java 9’s impact and features –platform module system, security, performance, maintenance-, and speculates on what might come after that, including the Java VM.
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Agile Value Delivery
Tom Gilb keynotes on 10 key Agile principles: Control projects by quantified critical-few results, Give developers freedom, Estimate the impacts of your designs, Involve the stakeholders, etc.
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Netflix Built Its Own Monitoring System - and Why You Probably Shouldn't
Roy Rapoport shares some of the lessons Netflix learned building a monitoring system, the challenges, pitfalls and opportunities encountered along the way.
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Cluster Management at Google
John Wilkes shares lessons learned managing clusters at the scale of Google.
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Software Development Tales from the Continent
Enyo Kumahor shares software development stories from the African continent.
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Seven Ineffective Coding Habits of Many Programmers
Kevlin Henney examines seven coding habits that are not as effective as many programmers — whether working with Java, .NET, native or scripting languages — might believe, and suggests alternatives.
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Down the Clojure Rabbit Hole
Christophe Grand tells Clojure stories full of immutability, data over behavior, relational programming, declarativity, incrementalism, parallelism, collapsing abstractions, local state and more.
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To the Moon
Russ Olsen tells the moon landing story and how it has affected the software development.
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Tiny
Chad Fowler attempts to convince people that keeping things "tiny" –small iterations, small methods, small teams - is the best thing one can do for himself and his team.
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Machine Learning for Programming
Peter Norvig keynotes on using machine learning techniques to solve more general software problems, helping both the advanced programmer and the novice one.
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