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Course description: GPFS Performance Tuning on AIX

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Overview

  • Special note
  • Audience
  • Prerequisites
  • Skills taught
  • Course outline
List of course details in a data table
Course code AN820 Skill level Advanced
Duration 2.0 days Delivery type Classroom
(Hands-on labs)
Course type Public or Private on-site    
Public price USD $1,950.00 plus tax    

Understand GPFS functionality in detail and factors affecting GPFS performance. Learn the commands and tools required for performance data collection and monitoring. Understand the various GPFS configuration parameters and learn to use them for GPFS performance tuning.

This course provides lectures and hands on labs in a face-to-face classroom setting. The course is also offered in a live virtual classroom environment (ILO - Instructor Led Online) with hands-on labs GPFS Performance Tuning (ILO) (AX820).

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Training Paths that reference this course are:

  • IBM Smart Analytics System - System Administrator
  • AIX Systems Management, Clustering, Internals and Cloud Computing
  • PureData System for Operational Analytics - System Administrator

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Special note

IBM Education Advantage Program Eligibility:

  • Yes - Education Pack - online account

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Audience

This advanced course is for IT professionals familiar with GPFS administration, which require tuning of the GPFS filesystem performance in AIX environment.

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Prerequisites

You should have knowledge in GPFS administration and AIX administration. This can be obtained by taking GPFS System Administration (AN810) / GPFS System Administration (ILO) (AX810).

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Skills taught

  • Learn about GPFS performance analysis and GPFS performance tuning on AIX
  • Learn how to troubleshoot GPFS performance issues

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Course outline

Day 1

  • Unit 1: GPFS advanced concepts
    • Lab1: GPFS file system creation and advanced commands
  • Unit 2: Introduction to GPFS performance and tools
    • Lab 2: Performance measurement and data collection

Day 2

  • Unit 3: Factors affecting performance
    • Lab 3: Performance analysis
  • Unit 4: Performance tuning
    • Lab 4: Configuration of tuning parameters

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