ATG Application Performance Tuning Toolkit

Here is list of tools I am using for application performance analysis and tuning.

 1.   JMeter : The Apache JMeter™ desktop application is open source software, a 100% pure Java application designed to load test functional behavior and measure performance. Apache JMeter may be used to test performance both on static and dynamic resources (Files, Web dynamic languages - PHP, Java, ASP.NET, etc. -, Java Objects, Data Bases and Queries, FTP Servers and more). It can be used to simulate a heavy load on a server, group of servers, network or object to test its strength or to analyze overall performance under different load types. You can use it to make a graphical analysis of performance or to test your server/script/object behavior under heavy concurrent load. 

2.   JvisualVM (Java VisualVM) :  Java VisualVM can be used by Java application developers to troubleshoot applications and to monitor and improve the applications' performance. Java VisualVM can allow developers to generate and analyse heap dumps, track down memory leaks, browse the platform's MBeans and perform operations on those MBeans, perform and monitor garbage collection, and perform lightweight memory and CPU profiling.

3.   TDA - Thread Dump Analyzer : The TDA Thread Dump Analyzer for Java is a small Swing GUI for analyzing Thread Dumps and Heap Information generated by the Sun Java VM.  
 

4.   MAT - Eclipse Memory Analyzer : The Eclipse Memory Analyzer is a fast and feature-rich Java heap analyzer that helps you find memory leaks and reduce memory consumption. Use the Memory Analyzer to analyze productive heap dumps with hundreds of millions of objects, quickly calculate the retained sizes of objects, see who is preventing the Garbage Collector from collecting objects, run a report to automatically extract leak suspects.

5.  Automatic Workload Repository (AWR) in Oracle Database : The Automatic Workload Repository (AWR) collects, processes, and maintains performance statistics for problem detection and self-tuning purposes. This data is both in memory and stored in the database.

The statistics collected and processed by AWR include :

• Object statistics that determine both access and usage statistics of database segments.

• Time model statistics based on time usage for activities, displayed in the V$SYS_TIME_MODEL and V$SESS_TIME_MODEL views.

• Some of the system and session statistics collected in the V$SYSSTAT and V$SESSTAT views SQL statements that are producing the highest load on the system, based on criteria such as elapsed time and CPU time.

• ASH statistics, representing the history of recent sessions activity.

I will update more on performance tuning.....