BEA WebLogic Server 9/10: Performance Tuning
Oracle University provides a downloadable eKit containing the training materials for this course.
What you will learn:
This course trains developers, architects and BEA WebLogic
Server administrators to tune the various aspects of BEA
WebLogic Server to attain optimal performance. The course
provides the students with practical experience in tuning various kinds of parameters, including Windows, Linux and HP-UX Operating Systems, Java Virtual Machine, BEA WebLogic Server, applications using JavaServer Pages, Java Database Connectivity (JDBC), EJB (Enterprise JavaBeans), Java Message Service (JMS) and clustering.
Learn To:
- Operating System (OS) level parameters
- Java Virtual Machine (JVM) parameters
- BEA WebLogic Server parameters
- Application parameters for better performance
| Schedule/Purchase |
Training Formats |
Price
**
|
Duration |
Course Materials |
Instruction Language |
|
View Schedule
|
Instructor-Led Training
|
AU$
2835
|
3
Days
|
English
|
|
|
View Schedule
|
Live Virtual Class
|
AU$
2835
|
3
Days
|
English
|
|
** excluding GST
Note:
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Audience:
- Web Administrator
- Technical Administrator
Prerequisites:
Required Prerequisites:
Suggested Prerequisites:
- Basic Java knowledge
- Basic J2EE knowledge
Course Objectives:
- Monitor Central Processing Unit (CPU) usage
- Understand and use a few tools to monitor OS performance
- Use tools like Grinder to stress test applications
- Tune parameters on the Sun HotSpot and BEA JRockit® JVM
- Tune parameters on BEA WebLogic Server
- Understand the impact of work managers on the performance of applications deployed on BEA WebLogic Server
- Tune J2EE application-level parameters deployed on BEA WebLogic Server
- Improve the performance of a cluster of BEA WebLogic servers
Course Topics:
Benchmarking
Stress testing
CPU monitoring
OS tuning
Sun HotSpot JVM tuning
BEA JRockit JVM tuning
Core BEA WebLogic Server tuning
JSP/Servlet tuning on BEA WebLogic Server
JDBC tuning on BEA WebLogic Server
EJB tuning on BEA WebLogic Server
JMS tuning on BEA WebLogic Server
Clustering for performance on BEA WebLogic Server