InfoQ Homepage Concurrency Content on InfoQ
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Do Not Block Threads! A Blessing in Disguise or a Curse?
Sadek Drobi discusses how to use Futures and Iteratees to deal with blocking threads in a system with many IO calls and heavy threads.
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Akka for Concurrency Works
Duncan DeVore reviews the challenges of concurrent programming on the JVM and explores Akka, a toolkit and runtime for building highly concurrent, distributed applications on the JVM.
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10 Billion a Day, 100 Milliseconds Per: Monitoring Real-Time Bidding at AdRoll
Brian Troutwine shares insight on using Erlang for a highly concurrent and very low latency bidding system implemented by Adroll.
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The Haxl Project at Facebook
Simon Marlow describes a concurrency-based system built with Haskell that allows front-end programmers to write business logic to access all the back-end services in a concise and consistent way.
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Fault Tolerance 101
Joe Armstrong discusses fault tolerant systems, summarizing the key features of Erlang and showing how they can be used for programming fault-tolerant and scalable systems on multi-core clusters.
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Fault Tolerance 101
Joe Armstrong discusses how fault tolerance relates to scalability and concurrency, and how Erlang helps build fault-tolerant systems on multi-core clusters.
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Going Reactive: New and Old Ideas for Your 21st Century Architectures
Jonas Bonér, Francesco Cesarini discuss the evolution of distributed concurrent thinking along with the problems it has to solve and the toolchains created along the way.
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How Requirements from the Old World Make Erlang Fit into the New World
Robert Virding describes how Erlang was developed to solve the concurrency and reliability requirements of telecommunications, dealing with challenges that are similar with those of cloud computing.
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Programming, Only Better
Bodil Stokke keynotes on the FP languages for writing bug free, fault tolerant code that help building simple, concurrent and reusable software.
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Concurrency and Parallel Computing in JavaScript
Stephan Herhut overviews concurrency and parallelism in JavaScript and the HTML5, discussing actors, futures and what throughput computing in the browser looks like.
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The Future of the JVM
The panelists discuss the future of the JVM in the context of parallelism and high concurrency of tomorrow’s thousands of cores.
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Functional Reactive Programming in the Netflix API
Ben Christensen explains how Netflix optimizes server’s interaction with more than 800 client devices by creating customized concurrent service endpoints with RxJava and Hystrix.