AUDIENCE:   This course is designed for Performance Analysts and z/OS Support Staff requiring a solid understanding of the principles, concepts and techniques behind Capacity Planning before learning how to implement and use these techniques in the z/OS and z/Architecture environment. PREREQUISITES:   A general exposure to the z/OS environment is desirable. However the class includes a short introductory segment providing the key background z/OS and statistical knowledge required for effective Capacity Planning. DURATION:   3 days with practical case studies. OBJECTIVES:   This course provides students with a comprehensive grounding in the philosophy, methodologies and techniques of Capacity Planning. Wherever possible the instructor will make reference to the delegate’s current and anticipated hardware and software configurations. COURSE CONTENT:   WHAT IS CAPACITY PLANNING? A definition of Capacity Planning Where do we start? Guesses or Guidelines? The starting point Measurements What sort of measurement? STATISTICAL METHODS Some terminology Bar chart Histogram Normal Distribution Mean Variance and Standard Deviation Populations and Samples SERVICE LEVEL AGREEMENTS Identifying business elements Methodology Service levels and objectives Service Level Agreements Cost control and charge back CAPACITY PLANNING METHODS Capacity methods Guidelines Linear Predictions Analytic Methods Discrete Methods Benchmarking Methods Comparison of techniques Important Capacity Planning Terms MIPS ITR RPP and M-value Captured and Uncaptured time Balanced System Measures of saturation Erlang response time Service Units CAPACITY PLANNING TOOLS Overview of Capacity Planning Tools Large Systems Performance Reference MAINVIEW STROBE SoftCap Other tools HW07/01