InfoQ Homepage Architecture & Design Content on InfoQ
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Following Google: Don’t Follow the Followers, Follow the Leaders
Mark Madsen explains the history of databases and data processing over the past decades and looks where the industry will go.
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The Old New Old New Things
Greg Young advises understanding the pros and cons of a system’s concepts and environments in order to avoid oscillating between options or choosing the wrong ones.
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Rubah: DSU for Java on a Stock JVM
Luís Pina, Luís Veiga, Michael Hicks introduce Rubah, a method for dynamically updating applications running on the JVM.
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Comparing Elasticity of Reactive Frameworks
Elasticity is a key component in reactive systems and James Ward navigates the different characteristics of different implementations of this concept: Akka, Scala, RxJava, and more.
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Building Reactive Services using Functional Programming
Rachel Reese sees reactive services and functional languages as a natural pair, demonstrating how functional concepts such as mailboxes and async workflows can help one craft reactive services.
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Spring Data REST - Data Meets Hypermedia
Roy Clarkson and Greg Turnquist provide a quick overview of the Spring Data REST project, explains fundamental design decisions and introduces new features of the latest version.
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The Road Less Travelled
Mike Atherton keynotes on aligning work with values to get most benefits from it, to be proud of the results and to make a difference.
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Why Does a Startup Build a Research Lab?
Dávid Udvardy, László Priskin share how they ended up creating a research lab in their quest for ways to keep innovating application design.
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Phosphor: Illuminating Dynamic Data Flow in Commodity JVMs
Jonathan Bell & Gail Kaiser introduce Phosphor, a dynamic taint tracking system for the JVM, describing the approach used to achieve portable taint tracking.
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Let It Crash! The Erlang Approach to Building Reliable Services
Brian Troutwine examines how functional programming and other concepts championed by Erlang can yield reactive services with just a change in thinking and a different approach to design.
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Reactive Programming with Rx
Ben Christensen summarizes why the Rx programming model was chosen and demonstrates how it is applied to a variety of use cases.
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Concurrency at Large-Scale: The Evolution to Reactive Microservices
Randy Shoup, Consulting CTO, shares the history of reactive services and visits key milestones in their evolution: async techniques at Google, real-time search at Ebay, & responsive games at Kixeye.
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