InfoQ Homepage Performance Content on InfoQ
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The Mechanics of Testing Large Data Pipelines
Mathieu Bastian explores the mechanics of unit, integration, data and performance testing for large, complex data workflows, along with the tools for Hadoop, Pig and Spark.
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Hot Code is Faster Code - Addressing JVM Warm-up
Mark Price explores the life cycle of Java code, and how the JVM evolves the runtime representation of code during program execution, providing tips to make sure Java code runs fast.
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Real World Experience Report on Running Docker
Ben Hall shares his experience working with Docket for development, testing and deployment into production, discussing scalability, resource management, security and other related issues.
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Understanding HotSpot JVM Performance with JITWatch
Chris Newland discusses performance-boosting techniques used by the JVM’s JIT and introduces JITWatch, a tool helping to get the best JVM performance for a code.
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How to Have Your Causality and Wall Clocks Too
Jon Moore talks about distributed monotonic clocks (DMC) whose timestamps can reflect causality but which have a component that stays close to wall clock time.
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Life of a Twitter JVM Engineer
Tony Printezis presents how services are deployed and monitored at Twitter, the benefits of using a custom-built JVM, and the challenges of the use of the JVM in an environment like Twitter.
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Broken Performance Tools
Brendan Gregg focuses on broken tools and metrics instead of the working ones. Metrics can be misleading, and counters can be counter-intuitive. He advises on how to approach new performance tools.
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Java vs. C Performance
Cliff Click takes a look at Java vs C performance. He discusses both languages' strong and weak points and the programming context surrounding language choices.
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Profilers Are Lying Hobbits (and we hate them!)
Nitsan Wakart discusses concrete cases in which profilers misguide, misrepresent and at times subvert the systems they aim to help us diagnose.
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How to I/O?
Todd Montgomery discusses the challenges of I/O, as software and hardware change rapidly and conventional wisdom must evolve to keep up, revisiting old ideas with new and different perspectives.
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Beyond Lists
Phillip Trelford shows through live demos data structures that are orders of magnitude more performant than lists.
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Lessons in Extreme .NET Performance
Ben Watson provides a deep-dive introduction to what you need to know to squeeze out the ultimate performance from your .NET code, along with war stories from building the Bing platform query engine.
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