The Support Authority, Using IBM Support Assistant to find patterns for determining and resolving performance problems in enterprise applications
From the developerWorks archives
Date archived: January 3, 2017 | First published: June 20, 2012
In this article, the authors share their experience detecting and diagnosing performance problems in production and open source benchmark applications through the presentation of three case studies based on actual situations. These case studies highlight how various IBM® tools, such as Garbage Collection and Memory Visualizer (GCMV) and IBM Monitoring and Diagnostic Tools for Java™ - Memory Analyzer (MAT), can be used together to diagnose complex performance problems through the analysis of verbose garbage collection logs, heapdumps and threaddumps. This content is part of the IBM WebSphere Developer Technical Journal.
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