InfoQ Homepage QCon Software Development Conference Content on InfoQ
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Deconstructing Functional Programming
Gilad Bracha explains how to distinguish FP hype from reality and to apply key ideas of FP in non-FP languages, separating the good parts of FP from its unnecessary cultural baggage.
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Advanced Front-end Debugging
Panos Astithas presents some of the debugging, profiling and tracing tools available to web developers today.
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Growing from the Few to the Many: Scaling the Operations Organization at Facebook
Pedro Canahuati describes how Facebook's operations maintains their infrastructure, including challenges faced and lessons learned: prioritizing calls, managing technical debt, incident management.
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From Code to Monkeys: Continuous Delivery at Netflix
Dianne Marsh presents the open source tools used by Netflix to keep the continuous delivery wheels spinning.
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Online Controlled Experiments: Introduction, Insights, Scaling, and Humbling Statistics
Ronny Kohavi shares lessons learned, cultural and scaling challenges conducting hundreds of concurrent online controlled experiments at Bing.
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Evolution of the Netflix API
Ben Christensen describes Netflix API's evolution to a web service platform serving all devices and users, the challenges met in operations, deployment, performance, fault-tolerance, and innovation.
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REEF: Retainable Evaluator Execution Framework
Rusty Sears introduces REEF along with examples of computational frameworks, including interactive sessions, iterative graph processing, bulk synchronous computations, Hive queries, and MapReduce.
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Culture and Happiness in Virtual Teams
Floyd Marinescu shares how the virtual teams behind InfoQ.com and QCon are run: processes, tools, & mindset needed to run virtually while delivering purpose, autonomy & mastery for over 7 years.
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How a Small Team Scales Instagram
Mike Krieger discusses Instagram's best and worst infrastructure decisions, building and deploying scalable and extensible services.
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Scaling AncestryDNA using Hadoop and HBase
Bill Yetman and Jeremy Pollack discuss using Agile techniques -start simple, get going, iterate- and the “measure everything” principle to create the architecture behind the Family History website.
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Building a Culture Where Software Projects Get Done
Greg Brockman shares Stripe's principles powering their software projects and the culture instilled to avoid the usual software engineering traps: failed rewrites, delayed timelines, etc.
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Apache Tez: Accelerating Hadoop Query Processing
Bikas Saha and Arun Murthy detail the design of Tez, highlighting some of its features and sharing some of the initial results obtained by Hive on Tez.
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