InfoQ Homepage Programming Content on InfoQ
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How Netflix Scales Its API with GraphQL Federation
Jennifer Shin and Stephen Spalding discuss Netflix’s API unification process using GraphQL Federation.
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Introduction to Kotlin's Coroutines and Reactive Streams
Krystian Rybarczyk looks into coroutines and sees how they facilitate asynchronous programming, discussing flows and how they make writing reactive code simpler.
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How the HotSpot and Graal JVMs Execute Java Code
James Gough discusses HotSpot, explores Graal and the JVM ecosystem to discover performance benefits of a platform 25 years in the making.
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Elixir vs Scala
Ludwik Bukowski and Kacper Mentel compare the results of a pattern recognition app implemented in Elixir and Scala.
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A Year with Java 11 in Production!
Andrzej Grzesik talks about Revolut’s experience in running Java 11 in production for over a year. He discusses tools, alternative JVM languages, and some 3rd party products.
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A Functional Tour of Automatic Differentiation
Oliver Strickson discusses automatic differentiation, a family of algorithms for taking derivatives of functions implemented by computer programs, offering the ability to compute gradients of values.
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Maximizing Applications Performance with GraalVM
Alina Yurenko shows how to make real-world applications GraalVM-ready, and how languages like JavaScript, Ruby, R and Python can also benefit from GraalVM.
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Build Your Own WebAssembly Compiler
Colin Eberhardt looks at some of the internals of WebAssembly, explores how it works ‘under the hood’, and looks at how to create a (simple) compiler that targets this runtime.
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Emergent Futures
Shane Hastie looks at organizational practices which have emerged over the last few years, focusing on how COVID-19 has changed the ways of working, organizational cultures and personal behaviours.
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Pony, Actors, Causality, Types, and Garbage Collection
Sophia Drossopoulou gives an overview of Pony’s programming model, actors, and causality.
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TornadoVM: Java for GPUs and FPGAs
Juan Fumero presents TornadoVM, a plugin for OpenJDK that allows Java programmers to automatically run on Heterogeneous Hardware such as multi-core CPUs, GPUs, and FPGAs.
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Modelling Side Effects via Extensible Effects and Property Testing
William Heslam describes a technique to model a JavaScript's side-effecting dependencies by combining two separate but complementary ideas: Extensible Effects and Property Testing.
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