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Training Course:

Sun GlassFish Enterprise Server Administration and Deployment

School/Trainer:

Sun Microsystems, Inc.
Atlanta, Boston, Los Angeles, Edison, Louisville, New York, Phoenix, San Diego, San Francisco, Tampa, United States

Course Format: Classroom | E-learning | Virtual Class | Online/Live | On-site/In-house | Blended | Self-paced

Course Description:

'' Module 1 - Installing Application Server 9.1

Check Application Server installation readiness
Install Application Server 9.1 using the GUI-based installer

Module 2 - Configuring Application Server

Create and administer a domain, a node agent, and a server instance

Module 3 - Configuring Clusters in Application Server

Work with clusters
Configure GMS to manage group events

Module 4 - Deploying Applications in Application Server

Assemble and deploy a module
Deploy and undeploy an application

Module 5 - Configuring Logging and Monitoring in Application Server

Configure logging in the Application Server
Examine the error message guide
Monitor an application using the Admin Console
Monitor an application using the asadmin tool
Log using a third-party tool

Module 6 - Installing and Configuring the Load Balancer

Install and configure the Web Server and the load balancer
Perform load balancing with Web Server 7.0

Module 7 - Configuring and Using HADB

Prepare for HADB setup
Set up a high-availability cluster
Troubleshoot an HADB MA crash
Implement stateful session bean (SFSB) failover

Module 8 - Configuring and Using In-Memory Replication for Session Persistence

Configure HTTP session failover using in-memory replication

Module 9 - Advanced Configuration and Administration

Manage JBI service assemblies
Create a life-cycle self management rule

Module 10 - Working With Databases

Set up database access
Monitor connection pools
Set up automatic transaction recovery

Module 11 - Securing Application Server

Manage password security
Work with a password file
Configure message security for a web service

Module 12 - Configuring and Using Message Queue Clusters

Set up and configure the Message Queue broker cluster
Verify a Message Queue cluster failover
Examine the broker log of the Message Queue broker

Module 13 - Uninstalling Application Server 9.1

Uninstall Application Server 9.1
Troubleshoot uninstallation issues

Module 14 - Upgrading and Migrating to Application Server 9.1

Perform upgrade from Application Server 8.1 to Application Server 9.1 ...''

Elements of this syllabus are subject to change.

Please go to the school's official website for training price and schedule:
http://www.sun.com/

Phone:(800) 422-8020

School Address/Venue(s):

Sun Microsystems, Inc.
M/S UBRM02-119
500 Eldorado Blvd.
Broomfield, Colorado 80021 USA

Jobs & Resumes: Atlanta, Boston, Los Angeles, Edison, Louisville, New York, Phoenix, San Diego, San Francisco, Tampa
Houses & Roommates: Atlanta, Boston, Los Angeles, Edison, Louisville, New York, Phoenix, San Diego, San Francisco, Tampa
Travel Agencies: Atlanta, Boston, Los Angeles, Louisville, Phoenix, San Diego, San Francisco,

Search other schools for Sun GlassFish Enterprise Server Administration and Deployment training resources.




Other training courses offered by Sun Microsystems, Inc.:

Enterprise Security Using Kerberos and LDAP
Administering and Supporting N1 Grid Engine 6
Sun N1 System Manager Administration
Systems Management Using Sun Management Center 3.6
Sun Cluster 3.2 Advanced Administration
Sun Cluster 3.2 Administration
Administering Lustre Based Clusters
Introduction to Sun Java CAPS 6
Advanced Sun Java Composite Application Platform Suite (Java CAPS)
Sun Java Composite Application Platform Suite (Java CAPS) Administration
Sun Java Message Queue 4.2
Advanced Management and Tuning of High Availability Database
High Availability Database
GlassFish Application Server Administration
Sun Java System Web Server 7.0
Sun Java System Web Proxy Server 4 Administration
StarOffice 8 End User
Sun Modular Datacenter Essentials
Sun Fire High-End Server Administration


Notice: The course description on this page was captured from the Internet as historical reference or submitted by visitors. It was archived statically and not updated from day to day.
 


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