IBM i Performance Tuning - II: Advanced Analysis and Capacity Tuning

Durée: 

4

Langue: 

FR

Prix: 
3602.96
Description: 
  • Understand the techniques of performance analysis and capacity planning of Power Systems and logical partitions (LPARs) running IBM i
  • Acquire the skills to better manage performance on Power Systems running IBM i
  • Enhance your knowledge of IBM i storage management, job / thread / task management, and the use of performance data collection, and monitoring tools to better manage IBM i work
  • Manage the latest virtualization and logical partitioning features of Power Systems for optimal performance
  • Use the latest tools and methodologies in IBM i 7.1 and IBM i 7.2 to manage and analyze system and application performance
  • Gain experience with Performance Data Investigator in IBM Navigator for i including Collection Services, Job Watcher, and Disk Watcher features
  • Use IBM Workload Estimator and other performance tools to perform sizing and capacity planning on Power Systems
  • Understand methodologies for identifying and selecting appropriate performance data when planning upgrades and other capacity planning tasks

This course is intermediate complexity and is suitable for IBM clients, Business Partners, and technical support and service individuals interested in performance management and capacity planning on Power Systems and logical partitions (LPARs) running IBM i.

It is advantageous if you have completed the following course or if you have equivalent skills or experience on the IBM i work management and basic tuning:

  • IBM i Performance Tuning - I: Performance Tools and Basic Tuning (OL23G)

Knowledge of IBM WebQuery for i or other query options will be useful.

Day 1

  • Welcome
  • Unit 1: Performance management process
  • Unit 2: IBM Power Systems
  • Unit 3: Components of performance
  • Unit 4: Disk performance considerations
  • Unit 5: Logical partition performance considerations

Day 2

  • Unit 6: Work management review and tuning options
  • Unit 7: Real-time monitoring
  • Unit 8: Collection Services: Data collection
  • Unit 9: Performance Data Investigator overview
  • Unit 10: Investigating data: Collection Services
    • Lab 1: Review performance data
  • Unit 11: Performance Tools reports and graphs

Day 3

  •  
    • Lab 2: Performance reports
  • Unit 12: Capacity planning
    • Lab 3: Estimate performance requirements
  • Unit 13: Collection Services data files
    • Lab 4: Performance data: QAPMDISK (optional)
    • Lab 5: Disk performance analysis with PDI

Day 4

  •  
    • Lab 6: Analyze QAPMSYSTEM data
  • Unit 14: Run-time (run/wait) analysis
    • Lab 7: Run-time analysis
  • Unit 15: Investigating data: Disk Watcher Unit 16: Investigating data: Job Watcher
    • Lab 8: Disk Watcher analysis
    • Lab 9: Job Watcher analysis

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