IBM OL66G - IBM i Performance Tuning - II: Advanced Analysis and Capacity Tuning

Course Outline

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

Objective

• 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