java performance tuning and optimization

BEA WebLogic jrockit usage and Performance Tuning 1. Introduction to jrockit OptimizationJrockit is an adaptive JVM that can automatically adjust itself to adapt to the underlying hardware. Therefore, its optimization is mainly focused on parameters that require manual intervention, such: the number of Ram resources to be allocated to jrockit. Jrockit has a set o

This article mainly describes how to locate the performance problems of the Site Based on some simple tools and Simple phenomena. The topics in this chapter are as follows: General performance tuning process Analyze page loading information using analysis tools Analyze performance bottlenecks using analysis tools

Performance Optimization-database optimization and performance optimization database This article optimizes the performance of databases. The principle applies to most databases, including Sqlite, Mysql, Oracle, and SQL server,The

, such as business logic, SQL optimization, algorithms and so onIn this example, the Linux kernel parameter adjustment, the network has more detailed parameters, please refer to:11 1In this test, the adjustment of the relevant one-piece is as follows:1, Resin to handle the adjustment of the service:Conf\resin.xml file parameter adjustment under Resin directoryfree-min>10m free -min>Specific adjustment methods, you can refer to the JVM

following information is displayed: Java version "1.6.0 _ 13"Java (TM) se Runtime Environment (build 1.6.0 _ 13-b03)Java hotspot (TM) server VM (build 11.3-B02, mixed mode) It indicates that tomcat has been changed to the JVM of the server version. You can perform a comparative test to compare the performance diffe

Front-end main performance optimization point accept-encoding:gzip for resource compressionGzip compression mode browser support situation: Netscape 6+ (Netscape 4-5 does, but with some bugs). Internet Explorer 5.5+ (July) and IE 4 if set to http/1.1. Opera 5+ (June 2000) Lynx 2.6+ (some time before 1999) Firefox 0.9.5+ (October 2001) Chrome since forever Safari since forever (as far

integration into the project, along with the project to advance. Performance is best characterized by quantifiable, measurable, and customizable features. The network is becoming more and more complex and monitoring the network becomes more and more difficult because the monitoring process is greatly affected by the performance implications of devices, browsers, protocols, network types, and other technolo

MYSQL Performance Tuning and architecture design-instance analysis of factors affecting MYSQL Performance Requirement overview A simple discussion zone system requires users, user groups, and group discussion areas. Brief analysis 1) tables that need to store user data; 2) tables that need to store group information and user-group relationships; 3) tables that ne

the performance of ES. At the same time, assuming that the machine 1 has a routing attribute a document, Machine 2 has a routing attribute B document, then I in the query when the target route attribute is a, even if the machine 2 failure paralysis, the machine 1 structure is not a great influence, so do the query under the disaster situation also proposed a solution. The so-called route, in essence, is a split-bucket (bucketing) operation. Of course

According to the tradition, parameters and settings of different Linux distributions and kernels have been changed, so that the system can achieve better performance. The following section describes how to use the following techniques to optimize performance in Red Hat Enterprise Linux AS and suse linux Enterprise Server systems: QUOTE: 1. Disabling daemons (disable daemons) 2. Shutting down the GUI (Disabl

RedHat Performance Tuning Performance Optimization aims to improve performance and reduce the impact of resource consumption and applications on the system. If it is implemented prematurely or without performance evaluation,

; "alt =" clip_image005 "src =" http://www.68idc.cn/help/uploads/allimg/151111/121A641F-4.jpg "border =" 0 "height =" 633 "/> SQL tracking does not actually adjust the settings, but it helps to find the queries that may cause failures and the components that need to work in these queries. However, its function is far from performance tuning. Note: SQL tracking does not actually adjust the settings. The

Recently, due to Project Memory leakage, large-scale JVM performance tuning has been performed. , Now we will record the experience. I. JVM Memory Model and garbage collection Algorithm 1. According to the Java Virtual Machine specification, JVM divides the memory: New (young generation) Tenured (elder generation) Permanent generation (Perm) Among them, new

"Product-level performance tuning and fault diagnosis analysis"Cover big pictureAbout the authorMr. Zheng, 2006~2009 three session of "Microsoft's most valuable expert", won the "Devwow Microsoft blog Tatsu" winner, won the Microsoft "most influential developer" award, through the Microsoft "MCSA/MCSE" certification, the company performance

"Product-level performance tuning and fault diagnosis analysis"Cover big pictureAbout the authorMr. Zheng, 2006~2009 three session of "Microsoft's most valuable expert", won the "Devwow Microsoft blog Tatsu" winner, won the Microsoft "most influential developer" award, through the Microsoft "MCSA/MCSE" certification, the company performance

easily believe that the online spread of those "SQL optimization gold sentence", "SQL Optimization prescriptions", their practice several times, is the hard truth. First figure out the goal of performance tuning From the most intuitive, most common point of view, mainly includes the following two points: Optimize res

Performance Optimization aims to improve performance and reduce the impact of resource consumption and applications on the system. If it is implemented prematurely or without performance evaluation, performance optimization may or

Websphere? Application Server Performance Tuning Toolkit is an Eclipse-based smart tool designed to help users tune WebSphere application by using data collection, data analysis, and statistical inference techniques The performance of the Server. The goal is to help users find bottlenecks and tune applications appropriately.Background knowledgeWith the wide deplo

negative impact on performance, but in addition to this method, there are basically not many other better solutions. Moreover, since the database through a good extension, the load of each MySQL Server can be better controlled, simply for a single Query, its response time may be higher than the non-segmentation, so the performance of the negative impact is not too large. What's more, similar to the need fo