InfoQ Homepage Performance Tuning Content on InfoQ
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Extreme Performance with Java
Charlie Hunt explains what can be done to lower the latency introduced by the Java GC and JIT, including coding tips, and introducing tools for tuning the performance of Java applications.
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Crunching Numbers with Clojure - 11 Tips to Boost Your Performance
Daniel Solano Gómez shares 11 tips for drastically enhancing the performance of Clojure applications crunching numbers.
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Automatic Performance Programming?
Markus Püschel proposes to solve scientific calculation performance problems with code generation tools, introducing Spiral, an automatic performance programming framework for linear transforms.
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Everything I Ever Learned about JVM Performance Tuning @twitter
Attila Szegedi shares lessons learned tuning the JVM at Twitter, spending most of his talk discussing memory tuning, CPU usage tuning, and lock contention tuning.
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Everything I Ever Learned about JVM Performance Tuning @twitter
Attila Szegedi discusses performance problems encountered at Twitter running Java and Scala applications, presenting how they solve them through JVM tuning.
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Understanding Java Garbage Collection and What You Can Do about It
Gil Tene explains the workings of a garbage collector: terminology, metrics, fundamentals, key mechanisms, classification of current GCs, the “Application Memory Wall” problem, and details Azul C4 GC.
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Advanced GORM - Performance, Customization and Monitoring
Burt Beckwith discusses potential performance problems using mapped collections and Hibernate 2nd-level cache in GORM, along with strategies for avoiding such performance penalties.
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Performance Testing at the Edge
Alois Reitbauer shows how to do performance testing during development, testing, and production by starting early in the development phase, breaking the test into pieces, and testing continuously.
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DevOps Requires Visibility: Monitoring, Testing and Performance
Examining the role of monitoring and testing techniques in solving DevOps problems.
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Open Source at Unibet.com - 10x Scalability at Half the Cost
Stefan Norberg presents Unibet.com’s architecture which uses XHTML 1.0, CSS 2.1, YUI, caching, compression, image spriting, and CDN striping for front-end plus multiple replicas for scaling out.
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Rails in the Large: How Agility Allows Us to Build One Of the World's Biggest Rails Apps
Neal Ford shows what ThoughtWorks learned from scaling Rails development: infrastructure, testing, messaging, optimization, performance.
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Performance Tuning for Apache Tomcat
Mark Thomas, a member of the Tomcat PMC, explains the tuning process for Tomcat, JVM and the applications running on them considering different usage patterns, hardware and network configurations.
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