Performance Tuning Siebel Software on the Sun Platform
Performance Tuning Siebel Software on the Sun Platform
Performance Tuning Siebel Software on the Sun Platform
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7 <str<strong>on</strong>g>Performance</str<strong>on</strong>g> <str<strong>on</strong>g>Tuning</str<strong>on</strong>g><br />
Many people think solving a performance problem is a mysterious talent, however <strong>the</strong>re<br />
is a particular methodology at work. Figure 8.1 shows <strong>the</strong> process flow of approaching a<br />
performance problem or simply tuning <strong>the</strong> system for best performance.<br />
Figure 7<br />
Use of a methodology like <strong>the</strong> process shown in Figure 7.1 can take <strong>the</strong> black magic out<br />
of performance tuning. because <strong>the</strong>re are several books and white papers dedicated to<br />
<strong>the</strong> subject of performance tuning methodologies, <strong>the</strong> subject is not being covered in<br />
detail in this white paper. The scope of this white paper is to provide <strong>the</strong> reader with<br />
specific tuneables for <strong>the</strong> <str<strong>on</strong>g>Siebel</str<strong>on</strong>g>/<strong>Sun</strong> platform. The current chapter provides specific<br />
suggesti<strong>on</strong>s for performance and scalability tuning. These suggesti<strong>on</strong>s are based <strong>on</strong><br />
less<strong>on</strong>s learned from <strong>the</strong> tests c<strong>on</strong>ducted at <strong>the</strong> <strong>Sun</strong> ETC and through years of<br />
collaborative engineering between <strong>Sun</strong> and <str<strong>on</strong>g>Siebel</str<strong>on</strong>g>.<br />
<str<strong>on</strong>g>Performance</str<strong>on</strong>g> <str<strong>on</strong>g>Tuning</str<strong>on</strong>g> <str<strong>on</strong>g>Siebel</str<strong>on</strong>g> <str<strong>on</strong>g>Software</str<strong>on</strong>g> <strong>on</strong> <strong>the</strong> <strong>Sun</strong> <strong>Platform</strong> Page 20