java application performance

Using VPA to quickly locate Java application performance bottlenecks Introduction: Large Java applications call a large number of classes and methods, how to find the application performance bottlenecks in the thousands of lines

Java Application Performance optimization is a commonplace topic, the author based on personal experience, the Java performance optimization is divided into 4 levels: Application layer, database layer, framework layer, JVM layer.

Java Application Performance optimization is a commonplace topic, the author based on personal experience, the Java performance optimization is divided into 4 levels: Application layer, database layer, framework layer, JVM layer.

. This is an update to the version of the embedded Java (Java me and Java EE and Se installed servers and pc vms. Good object-oriented design and architecture, application design model.For Java APIs, check whether the required functions are ready-made and can be called. M

, so in order for its advantages to fully play out, to avoid excessive thread context switching, the more ideal scenario is:Number of threads = number of CPU cores +1It can also be set to CPU cores, which depends on the version of the JDK and the CPU configuration (the server's CPU has Hyper-threading). For JDK1.8, it adds a parallel computation, a computationally intensive number of ideal threads = CPU Core Threads Get CPU Cores in Java meth

, if the memcached server is also running on this machine and listening on port 11211 by default, just perform telnet localhost 11211. The following commands are important for Telnet management memcached: set Add a new project to the cache , using the format is Set get returns the value of the cache key , call get add Add a new key , provided that the key does not exist before, such as add replace overrides the value of a key , if this key already exists, such as replace

default, only to perform telnet localhost 11211. The following commands are important for Telnet management memcached: set Add a new project to the cache , the format is Set get returns the value of the cache key , call get add Add a new key , provided that the key does not exist before. For example, add replace Overrides a key Value, provided that the key already exists. For example, replace delete Delete the cache entry for a key, call delete Figure 4 sh

obtain the cause and cause of the problem, which usually leads to less downtime and better MTTR. Slow SQL Almost every application uses a JDBC database. A common problem in applications is poor SQL Performance, which is sometimes caused by the absence of an index on a field, the amount of data obtained, or other reasons. This is not conducive to application

NetBeans IDE 6.0 contains a powerful profiling tool that provides important information about the run-time behavior of your application. The NetBeans profiling tool allows us to easily monitor the application's thread state, CPU performance, and memory usage in the IDE, with relatively low overhead. This article outlines the profiling tools that are included in the IDE and guides you through the quick star

GAE Java Application Performance Optimization Reprint please retain the author information: Author: 88250 Date: February 8, 2011 This article is the author of the development of GAE application performance optimization experience, mainly from the framework, caching, asynch

The popularity and wide application of Java, and its mechanism based on virtual machine operation, make the performance problem more and more important. This paper analyzes Java application design from the perspective of Java Virt

The most obvious performance problem is that the response time of the Web page slows down. In the Java EE system, the following more basic symptoms are often embodied: Use of Application server resources Usage of the JVM heap Usage of system resources Use of database resources Network activity These phenomena indicate that the

-ms column shows how long this request will take to complete, and the final success column shows whether the request was executed successfully. The bottom of the interface you can also see some statistics, the most concern should be average bar, that is, the corresponding average time.# Start execution of test planYou can now execute the test plan by clicking the menu bar run-start. Here is the result diagram for the test plan:Figure V: Results showJMeter is used for energy or

Recently, some friends talked about system performance analysis. The best way to analyze why a Java-based system is slow is to use profiler. The principle of profiler is to use some drivers and JVM bindings to read the JVM runtime and get the time from loading the class to the execution to the end of the entire process, so as to know the methods of those functions make your system slow. Good open-source pro

Introduction System log is an important tool for application problem diagnosis and operation maintenance. Logback, log4j are the logging APIs that are commonly used in the Java platform. At present, most of the products are only the important parameters of the system, state changes and abnormal information through the log output. This article will introduce the PERF4J is a dedicated

In parts 1th and 2nd of this series (a total of three articles), I introduced the techniques and patterns for monitoring Java applications, in which I focused on the JVM and application classes. In this final installment, I'll introduce tips for collecting performance and availability data from application dependencies

EventSource interface. This article describes how to use the asynchronous Beans EventSource to construct a thread factory, which includes a downloadable example called a concurrency adapter (Concurrent Adapter) that can be used with a third-party thread pool implementation to create the ability to A fast thread pool that works on a WebSphere application Server. Global thread pool WebSphere application S

from:http://chenjianjx.iteye.com/blog/1681681You find that your machine has a CPU usage of 100%, and it is found to be the result of your Java application, but which code in this application eats the performance?Here's a share from a colleague:1. Find out the thread that eats the p