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InfoQ Homepage Performance Tuning Content on InfoQ

  • The Fatal Flaw of Finalizers and Phantoms

    Most developers know that finalizers should not be depended on, but sometimes they are necessary. PhantomReferences, often cited as a good alternative, also suffer from the same fundamental problems. In this article we reveal how to contend with the many issues surrounding finalization in Java.

  • Tuning Java Servers

    With tens of thousands of Java servers running in production in the enterprise, many engineers still lack the skills to keep their Java servers greased. In this article InfoQ takes a look at basic techniques for tuning Java servers.

  • Practical Cassandra: A Developer's Approach - Book Review and Interview

    Practical Cassandra: A Developer's Approach book by Russell Bradberry and Eric Lubow, is a developer's guide to build applications using Cassandra NoSQL database. InfoQ spoke with the authors about the book, Cassandra data model, design considerations and how Cassandra performs concurrency and versioning of the data sets.

  • Visualizing Java Garbage Collection

    Garbage Collection, like Backgammon takes minutes to learn and a lifetime to master. In this article Master trainer/consultant Ben Evans summarizes his recent InfoQ presentation "Visualizing Garbage Collection" where he discusses Garbage Collection from the ground up.

  • To Execution profile or to Memory Profile? That is the question.

    There are times when memory profiling will provide a clearer picture than execution profiling to find execution hot spots. In this article Kirk Pepperdine talks through some indicators for determining when to use which kind of profiler.

  • Tips for Tuning the Garbage First Garbage Collector

    In July Monica Beckwith explored the theory of the new G1 GC Garbage First Garbage Collector. In this second installment, Monica delves into more practical aspects and provides guidance for tuning.

  • G1: One Garbage Collector To Rule Them All

    Many articles describe how a poorly tuned garbage collector can bring an application's SLA commitments to its knees. Oracle's new G1 Collector in HotSpot moves away from the conventional GC model, where a Java heap splits into (contiguous) young and old generations, and instead introduces the concept of “regions”, for a generally more performant and manageable GC.

  • Virtual Panel: Performance Tuning Face-Off

    In the world of application delivery, performance tuning still seems to elude the mainstream. InfoQ spoke to five luminaries of the performance monitoring space about why and what can be done. The result was quite an active debate. Members of the virtual panel: • Ben Evans • Charlie Hunt • Kirk Pepperdine • Martin Thompson • Monica Beckwith

  • Benchmarking JVM Concurrency Options for Java, Scala and Akka

    Michael Slinn examines how to benchmark JVM concurrency options for JVM-based langauges including Java and Scala.

  • Book on Solving Enterprise Applications Performance Puzzles by Leonid Grinshpan

    Performance is one of the most critical attributes for enterprise applications. Even though not mentioned explicitly, properties such as response time or throughput are key issues that decide about user acceptance.Leonid Grinshpan, PhD and Consulting Director at Oracle Corporation, has dedicated his book "Solving Enterprise Applications Performance Puzzles" to this topic.

  • Book Review and Interview: Java Performance, by Charlie Hunt and Binu John

    Java Performance, by Charlie Hunt and Binu John, provides performance tuning advice for both Java SE and EE applications. Specifically, it provides information on performance monitoring, profiling, tuning HotSpot, and Java EE application performance tuning. InfoQ reviews the book, and talks to the authors about their approach.

  • Effective Java Profiling With Open Source Tools

    In this example-driven article, Joachim Haagen Skeie walks you step by step through using open source tools like JMap, VisualVM, BTrace, and EurekaJ to get under the hood of your running Java apps to effectively diagnose performance and memory problems.

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