PUBLIC MARKS from solrac with tag performance

Blaming bad code won't help you find performance bottlenecks and improve the speed of your Java apps, and neither will guessing. This article directs your attention to tools for Java performance monitoring, Here's five tips for using Java 5's built-in profiler, JConsole, to collect and analyze performance data.

The libvirt library is a Linux API over the virtualization capabilities of Linux that supports a variety of hypervisors, including Xen and KVM, as well as QEMU and some virtualization products for other operating systems. This article explores libvirt, its use, and its architecture.

Do you know what to do when the performance of your UNIX network and the speed at which you can transfer files or connect to services suddenly comes to a stop? How do you diagnose the issues and work out where in your network the problems lie? This article looks at some quick methods for finding and identifying performance issues and the steps to start resolving them.

Your application can maintain fast processing times while still supporting some degree of data integrity and consistency — but you need to be aware of the trade-offs involved. Learnhow to implement a transaction strategy for high-performance applications.

jQuery is a great JavaScript library, but what about its performance? Is the trade-off between ease of use and a performance hit on the Web page worth it? Is there even a performance hit at all? This article answers your jQuery performance questions and offers some tips to improve its performance in your own applications.

Your system has specific performance settings that you can change to make it handle its workload better. Get every drop of performance out of your Central processing unit (CPU), Memory, Disk (both space and access speed), your Network throughput and JVM garbage collection with these performance tunning tips.

The year 2008 will forever be remembered as the year of the off-the-shelf (OTS) supercomputer, thanks to the Los Alamos National Labs (LANL) and IBM team that constructed the world's first machine (Roadrunner) to break the peta-FLOP (1,000,000,000,000,000 floating-point operations per second) barrier. Get an overview of OTS strategies to architect high-performance computing (HPC) systems as well as the methods and concepts behind building HPC systems from OTS components and open source software.

This article will walk you through Installing and configuring the basic Ganglia (a scalable, distributed monitoring system for high-performance clusters) setup. It will also show you how to use the Python modules to extend functionality with IPMI, and how to use Ganglia host spoofing to monitor IPMI. The goal is not only to set up a Ganglia high-performance Linux cluster monitoring system, but also to add more monitoring capability by writing simple Ganglia plug-ins.

UNIX's method of handling file systems and volumes provides you with an opportunity to improve your systems' security and performance. This article addresses the issue of why you should split up your disk data into multiple volumes for optimized performance and security.

The Xalan XSLT processor can invoke almost any method in almost any Java class in the classpath. Doing so can improve performance, provide features like trigonometric functions that aren't available in XSLT, perform file I/O, talk to databases and network servers, or implement algorithms that are easy to write in the Java language but hard to write in XSLT. Learn the basics of invoking Java code from Xalan.