This course will help the student to better understand the techniques of performance analysis and capacity planning on systems and partitions running IBM i, and to develop an appreciation of how IBM i operates and interfaces with applications. The student will build skills to better manage performance and capacity on systems and partitions running IBM i. In this course we will explain IBM i concepts, including the Technology Independent Machine Interface (TIMI), main storage pools, auxiliary storage pools, management of jobs, threads, tasks, job run-time structure, performance monitoring, data collection, and analysis of performance data. This 4-day course includes hands-on activities using performance data from IBM i systems to help the student appreciate the concepts discussed.
This course is designed for those running Power Systems on IBM i. While it includes i 7.1 content, it is suitable for those currently using prior versions of IBM i. First we will focus on teaching the performance management process, the performance considerations of key hardware components and virtualization options, and tuning options to help optimize performance. During these lectures, students should gain an appreciation of the unique storage management and work management components in the IBM i architecture, and how these components need to be managed for optimal performance. Then the class focus on the tools and techniques to monitor, analyze, and plan for performance of IBM i systems and partitions. The primary analysis tool that will be used is the Performance Data Investigator (PDI) which is included with IBM Systems Director Navigator for i. PDI is also used with IBM Systems Workload Estimator (WLE) for capacity planning activities.