Network Deployment (Distributed operating systems), v8.0 > Tune performance


Tune the application serving environment

Use this topic to understand the benefits of tuning for optimal performance. About the tunable parameters of the major WAS components and how these parameters affect performance.

WAS provides tunable settings for its major components so that you can adjust the runtime environment to match the characteristics of the application. Applications can run successfully without changing the default values for these tuning parameters. Other applications might need changes, for example, a larger heap size, to achieve optimal performance.

Performance tuning can yield significant gains in performance even if an application is not optimized for performance. However, correcting shortcomings of an application typically results in higher performance gains than are possible with just altering tuning parameters. Many factors contribute to a high performing application.


Procedure

  1. Run the applyPerfTuningTemplate.py script as the starting point for improving the performance of a specific application server. This python-based tuning script, along with one of its template files, applies the recommended performance tuning settings for a typical development, production, or environment that is ready for immediate use. The applyPerfTuningTemplate.py script is located in...

    WAS_HOME/bin
    The associated templates and properties files are located in...

    WAS_HOME/scriptLibraries/perfTuning/V70

  2. Use the performance advisors, the suggested procedures or parameters in the tuning parameter hot list, and the information on troubleshooting performance problems to optimize your WAS instances to their fullest extent.

    Performance advisors

    The performance advisors use the Performance Monitoring Infrastructure (PMI) data to suggest configuration changes to ORB service thread pools, web container thread pools, connection pool size, persisted session size and time, prepared statement cache size, and session cache size. The Runtime Performance Advisor runs in the application server process, while the other advisor runs in the Tivoli Performance Viewer. See the documentation about using the Performance and Diagnostic Advisor and use the performance advisor in Tivoli Performance Viewer.

    Tune parameter hot list

    Review the documentation about the tuning parameter hot list. These parameters have an important impact on performance. Because these parameters are application-dependent, the parameter settings for specific applications and environments can vary.

    Troubleshoot performance

    To save you time detecting problems and help you troubleshoot performance problems, see the documentation about troubleshooting performance.


Related


Tune the application server using pre-defined tuning templates
Tune parameter hot list
Tune TCP/IP buffer sizes
Tune the IBM virtual machine for Java
Tune HotSpot Java virtual machines (Solaris & HP-UX)
Tune transport channel services
Use PassByReference optimization in SCA applications
Check hardware configuration and settings
Tune operating systems
Tune web servers
Use the Performance and Diagnostic Advisor
Use the performance advisor in Tivoli Performance Viewer
Tune security configurations
Troubleshoot performance problems
Tune application servers
Task overview: Using the dynamic cache service to improve performance


Related


DB2 tuning parameters
SSL performance tips
EJB method Invocation Queuing
Performance: Resources for learning
HTTP transport custom properties
WAS Performance

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