Format

Classroom

Duration

4.0 Day(s)

Description

This course is designed to build student’s skills with AIX’s Workload Manager (WLM) allowing them to design WLM configurations to effectively manage system resource consumption for mission critical applications. Upon completion they should be able to classify the terminology, construct and adjust WLM configurations, and monitor WLM operations.
This course provides an excellent base for any AIX System Administrator and System Support personnel interested in performance skills and performance management of system resources relating to CPU, Memory and Disk I/O.

Audience

System Administrators, Programmers, Database Administrators (DBAs), Business Partners and System Analysts who are responsible for managing the performance for AIX systems. Additionally, any person involved in server consolidation projects will benefit from this course.

Prerequisites

Before attending this course, the student should have at least one year of System Administration experience with AIX version 4 and or version 5 as a minimum. This knowledge comes from hands on experience or attending the following AIX System Administration courses:
o AIX System Administration I - Implementation (AU14/Q1314).
o AIX System Administration II - Problem Determination (AU16/Q1316).
o AIX System Administration III - Performance Management (AU18/Q1318).
o AIX System Administration IV - Storage Management (AU20/Q1220) (Preferred, but not required).

Objectives

After completing this course, you should be able to:
o Describe the need for Workload Management.
o Define Workload Manager (WLM) terms, and concepts.
o Describe in detail the overall functionary of Workload Manager.
o Build WLM Superclasses and Subclasses and assign processes to the classes for CPU, Memory and Disk I/O control.
o Assign classes to tier levels for hierarchical control of resource allocation.
o Build class assignment rules for CPU, Memory and Disk I/O control.
o Decide what resource shares are required and assign resource shares.
o Apply resource limits to classes.
o Analyze WLM managed resources.
o Demonstrate the use of WLM performance monitoring tools.
o Evaluate WLM practical experiences.
o Manipulate WLM using manual assignments.
o Examine the WLM Application Programming Interface (API).