InfoQ Homepage application performance management Content on InfoQ
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Java Marshalling: A Performance Approach
Todd Montgomery proposes a new approach to marshalling in Java using FIX/SBE, new marshalling API approaches, and the extensive application of mechanical sympathy to this problem domain.
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Functional Vectors, Maps, and Sets in Julia
Zach Allaun shows how to build a functional and persistent vector, hash map, and set on top of the same data structure, and how to optimize the code for performance.
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Top 10 - Performance Folklore
Martin Thompson discusses Java, concurrency, operating systems, and functional programming in the context of designing and testing high-performance systems.
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Practicing at the Cutting Edge: Learning and Unlearning about Java Performance
Martin Thompson overviews Java's evolution, comparing it with C++'s, discussing the challenges of pushing the performance limits.
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How Zynga Handles Monitoring at Scale in Its Hybrid zCloud
Matt West explains how to use technologies like CloudStack, Beanstalk, Gearman, mod_gearman, Nagios, nagconf and other tools to monitor large web applications at scale deployed in the zCloud.
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Thinking DSLs for Massive Visualization
Leo Meyerovich introduces Superconductor, a browser-based language for massive interactive visualizations using end-to-end parallel DSLs and a synthesis DSL for parallel layout.
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DevOps Patterns to Scale Web Applications using Cloud Services
Daniel Cukier shares insight in using cloud services to scale web applications, dealing with load balancing, session sharing, email, asynchronous processing, logging, monitoring, CD, RUM, etc.
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Visualization Driven Development
Jason Gilman demonstrates creating visualizations with HTML, CSS, JavaScript, D3, then connect them to a code.
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Fast and Dynamic
Maxime Chevalier-Boisvert discusses making dynamic languages faster providing various examples of optimizations: SmallTalk, LISP machine, Google V8 and others.
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Why Ruby Isn't Slow
Alex Gaynor explains how he solved the usual Ruby VM speed problems with Topaz, a high performance VM built on the same technologies that power PyPy.
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Visual Management: Leading with What You Can See
Craig Smith, Renee Troughton discuss improving visual management: different types of story walls, ways to visualize the product backlog, the important of queue columns and WIP limitation, etc.
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The Unreasonable Effectiveness of Tuning
Keith Adams shares HHVM insights showing how a system can become very performant if it is well tuned.
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